ML Engineer Jobs in Spain.
All active ML Engineer roles based in Spain.
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About IonQ:
IonQ, Inc. [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance.
Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before.
We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems. Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.
Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications.
Responsibilities:
- Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
- Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
- This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
- Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
- Navigate competitive objection handling
- Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
- Create assets to explain features of our quantum applications and other IonQ quantum products.
- Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
- Lead client discovery sessions for business-oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
- Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
- Attend industry conferences, as needed, to talk to client and support our booth activities.
- Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
- This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always come first.
You’d be a good fit with:
- 5 years of experience in technical customer-facing roles or equivalent capacity. The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
- Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
- Motivated learner with a strong interest in quantum computing.
You’d be a great fit with:
- Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
- Time on the customer side in various verticals included leadership roles - this provides customer empathy
- Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
- Proficient in Python and Jupyter Notebooks.
- Expert architecture skills across various technologies (“full stack skills”)
- Experience leading technical events.
Location: Spain
Travel: 20% travel domestically and globally
Job ID: 1408
Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment.
At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued.
We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer.
US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
If you are interested in being a part of our team and mission, we encourage you to apply!
Ready to apply?
Apply to IonQ
Senior ML-Engineer, Finance
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Highlights:
Role: Senior ML-Engineer, Finance
Location: Spain, Remote
Language: Strong English required (C1)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
We're looking for an ML Engineer with 5+ years of production experience to own a high-impact client intelligence initiative. Following a successful proof-of-concept with an external consultant, we are bringing this project fully in-house. The ultimate goal is to generate a comprehensive, enriched list of all potential clients globally — understanding their product requirements, industry verticals, and overall revenue potential — and deploy a scoring model that feeds directly into our sales pipeline.
This is an end-to-end ownership role. You will build from the ground up: data collection, enrichment, modeling, and production deployment. The project is co-managed by company executives and has a high strategic value.
What You’ll Do
- Build a market intelligence data-base via collecting different types of data (scraping, enrichment), fixing data pipeline and creating an ML model for scoring and analysis of the raw data.
- Design and operate scrapers to extract key signals from nonprofit websites, including products used, payment tools, and industry vertical indicators.
- Develop critical filters such as an "Is this website for fundraising?" binary classifier, alongside other features that distinguish high-potential prospects.
- Source and integrate financial data from international nonprofit registries, as well as third-party signals from SimilarWeb and Facebook.
- Store and structure the enriched dataset in our internal database, making it accessible and useful across the broader team for research and analysis.
- Work closely with the sales team to understand their qualification criteria. Analyze disqualified accounts in Salesforce to identify common exclusion patterns and refine scoring accordingly.
- Deploy the scoring model and own the process of integrating outputs into Salesforce in a clean, maintainable way.
- Build a scraper to monitor existing clients' websites, tracking whether Fundraise Up tools are correctly implemented across their properties.
Challenges You'll Navigate
- At the scale of ~1 million domains, expect domain duplicates, inconsistent data, and significant noise. You'll need to develop robust, cost-efficient filtering pipelines.
- A single model won't cover everything — you'll likely build several targeted sub-models tailored to specific verticals and geographies as the project matures.
- All of this needs to be accomplished without incurring high infrastructure or data costs. Pragmatic, scrappy solutions are valued here.
Requirements
- 5+ years of ML/DS experience solving real product problems
- Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting) and understanding of modern NLP/LLM approaches
- Proven experience with large-scale web scraping and data pipeline construction
- Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (conversion rate, LTV)
- Strong engineering culture: confident in Python with a product-oriented approach; we value clean code, knowledge of design patterns, and solid engineering practices
- Advanced SQL; ability to independently build complex datasets in ClickHouse and work with MongoDB
- MLOps understanding: hands-on experience with experiment tracking and production workflows (Docker, Git, CI/CD)
- Autonomy: ability to break down ambiguous problems, choose the right tech stack, and deliver to production
Our Tech Stack
Core: Python (uv, ruff), FastAPI, Pydantic, Docker
Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)
Data: ClickHouse, MongoDB, pandas, Polars, Redis
MLOps: MLflow, Airflow
Monitoring: Grafana, Sentry
Infra: linux server admin, distributed computation
Bonus points
- Curiosity and a hypothesis-driven mindset
- Ability to communicate complex analytical concepts to non-technical audiences
- Detail-oriented with a strong sense of ownership
- Comfort working in fast-paced, data-rich environments
Why work with us
- A strong, collaborative product team that owns what it builds
- Clear product vision and access to real customer feedback from global nonprofit leaders
- Flat structure: no politics, just great work with great people
- Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
- Long-term focus: we offer equity options and value sustained, meaningful contribution
Benefits
- Private medical insurance for the employee and their family
- 23 paid vacation days per year
- 11 paid public holidays per year
- 5 company-paid sick leave days
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
- Co-working
- Remote working
**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Senior ML-Engineer
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Highlights:
Role: Senior ML-Engineer
Location: Spain, Remote
Language: Russian-speaking team; Strong English required (B2)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
We're looking for an ML Engineer with 5+ years of production experience to strengthen our ML team. We operate as an internal service and centre of excellence for 10+ product teams at Fundraise Up. This means you won't be tied to a single feature: one day you might be optimising donation amounts and upsell offers, and the next you could be building a smart assistant for the admin panel or working on transaction classification.
We actively use not only classical ML, but also RL, and we're expanding our LLM-based solutions — prompt engineering and pipeline design with LLM APIs (OpenAI and equivalents). That's why we're looking for someone with a broad mindset who isn't afraid to experiment and can choose the most effective approach for each task.
The project's main audience and business team are based in the US. Although the product development team is Russian-speaking, you may occasionally need to write in English.
What You’ll Do
- Develop and deploy ML solutions across different business areas using tabular data (uplift models, recommender systems). We are also actively developing projects that will involve e-commerce mechanics.
- Select the most appropriate ML/LLM approaches or propose alternative solutions.
- Build end-to-end ML solutions: data preparation, training, API development, and monitoring.
- Design prompts and LLM API-based pipelines for specific product tasks: classification, content generation, and response quality evaluation.
Requirements
- 5+ years of ML/DS experience solving real product problems
- Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting); NLP knowledge is a plus
- Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (CR, LTV)
- Strong engineering culture: confident in Python with a product-oriented approach to development; we value clean code, knowledge of design patterns, and solid engineering practices
- Data skills: advanced SQL; ability to independently and efficiently build complex datasets in ClickHouse and work with MongoDB
- MLOps understanding: hands-on experience with experiment tracking tools and understanding of production workflows (Docker, Git, CI/CD)
- Autonomy: ability to break down problems, choose the right tech stack (or justify a non-ML solution), and deliver to production
Our Tech Stack
Core: Python (uv, ruff), FastAPI, Pydantic, Docker
Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)
Data: ClickHouse, MongoDB, pandas, Polars, Redis
MLOps: MLflow, Airflow
Monitoring: Grafana, Sentry
Why work with us
- A strong, collaborative product team that owns what it builds
- Clear product vision and access to real customer feedback from global nonprofit leaders
- Flat structure: no politics, just great work with great people
- Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
- Long-term focus: we offer equity options and value sustained, meaningful contribution
Benefits
- Private medical insurance for the employee and their family
- 23 paid vacation days per year
- 11 paid public holidays per year
- 5 company-paid sick leave days
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
- Co-working
- Remote working
**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Principal Solutions Architect
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are seeking a customer-obsessed Solutions Architect to lead technical engagement with Nebius customers across Europe. This role is focused on presales excellence, strong technical storytelling, and driving adoption of Nebius AI Cloud across a wide range of industry segments.
As a Solutions Architect, you will act as a trusted technical partner to customers, helping them understand, evaluate, and adopt Nebius for their AI/ML and high-performance computing workloads. You will combine deep technical expertise with strong communication skills to clearly articulate Nebius’ value proposition and differentiate our platform in a competitive market.
You’re welcome to work remotely from Europe.
Your responsibilities will include:
- Own end-to-end technical presales engagements, from discovery through solution design, PoC execution, and production readiness
- Serve as a trusted technical advisor to customer stakeholders, including CTOs, Heads of AI/ML, and platform engineering teams
- Deliver compelling technical presentations, demos, and workshops that clearly communicate the value of Nebius across different customer segments
- Execute demos and PoCs to demonstrate performance, scalability, and cost efficiency of Nebius solutions
- Translate customer requirements into scalable, production-ready architectures and best practices
- Collaborate closely with Sales, Product, and Engineering to align customer needs with Nebius capabilities and roadmap
- Act as a technical advocate for customers internally, ensuring feedback is incorporated into product and go-to-market strategy
- Support regional go-to-market efforts, including events, meetups, webinars, and technical content creation
- Contribute to building repeatable technical playbooks and assets for the European market
We expect you to have:
- 2–5+ years of experience in technical roles such as Solutions Architect, Cloud Architect, Sales Engineer, or similar, with strong customer-facing exposure
- Proven experience in presales or customer-facing technical roles, including discovery, solution design, and PoC execution
- Strong ability to deliver technical pitches and clearly explain complex infrastructure and AI/ML concepts to both technical and business audiences
- Experience positioning cloud or infrastructure solutions and articulating value propositions in competitive environments
- Solid understanding of ML/AI workloads, including training and inference, and the underlying infrastructure requirements
- Experience with cloud platforms, Kubernetes, and distributed systems
- Hands-on experience with Infrastructure as Code (e.g., Terraform) and scripting/programming (Python preferred)
- Strong communication and storytelling skills, with the ability to adapt messaging across different customer segments
- Deep understanding of the European market, including customer expectations, buying behaviors, and local ecosystem
- Fluency in English plus another language preferred (both written and spoken), with the ability to engage confidently with local customers and stakeholders
- A highly customer-centric mindset, with the ability to balance technical depth and business value
It will be an added bonus if you have:
- Experience with GPU-accelerated workloads and AI infrastructure (NVIDIA ecosystem, CUDA, etc.)
- Hands-on experience with MLOps tools and frameworks (Kubeflow, MLflow, etc.)
- Familiarity with HPC environments and schedulers (e.g., Slurm)
- Experience contributing to regional go-to-market or developer/community initiatives
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Your responsibilities will include
- Solve the most challenging firmware and hardware related issues with servers, involving in-depth knowledge of system architecture and advanced troubleshooting
- Execute workarounds and solutions for IT hardware issues
- Act as a subject matter expert and point of escalation for L1 and L2 technicians
- Create new processes and documentation for IT hardware team
- Collaborate with related departments to im
- Collaborate with vendors on warranty replacements (RMA), create requests and manage.
- Improve support processes, documentation and training materials
- Knowledge of datacenters, and server equipment
- Deep knowledge of IT hardware and practical experience of troubleshooting
- Skills working with the Unix/linux operating system and command line
- Experience with equipment monitoring, data analysis and presentation
- Proactiveness and sense of responsibility
- High proficiency in spoken and written English
• Skills of repairing electronics at the component level (SMD)
• Knowledge of network equipment and troubleshooting
• Driving license type B
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are seeking a highly skilled and customer-focused professional to join our team as a Solutions Architect specializing in Cloud infrastructure and MLOps. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.
You’re welcome to work from France or any country in the Iberian Peninsula (Spain, Portugal, or Andorra).
Your responsibilities will include:
- Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
- Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.
- Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI.
- Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.
- Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)
We expect you to have:
- 5+ years of experience as a cloud solutions architect, system/network engineer, developer or a similar technical role with a focus on cloud computing
- Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, skills of writing code in Python
- Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)
- Excellent communication skills, fluency in French or Spanish preferred
- Customer-centric mindset
It will be an added bonus if you have:
- Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow)
- Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
- Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google)
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Lead Cloud Solutions Architect
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The team
Customer experience at Nebius GPU AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.
The role
We are seeking a highly skilled and customer-focused leader to join our team as a Cloud Solutions Architect Lead. As a team leader, you will play a pivotal role in customer success across EU region, both managing the efforts of Cloud Solutions Architects team (technical and process excellence, talent development) and building processes alongside your stakeholders. Player-coach mentality and proven track record of managing high expertise teams is a must.
You’re welcome to work from our office in Amsterdam or remotely from any EU country.
Your responsibilities will include:
- Lead and mentor a team of Solutions Architects, fostering a culture of technical excellence, customer empathy, and collaborative execution.
- Oversee and participate in technical engagements including PoCs, workshops, architecture reviews, and trainings.
- Drive consistency and quality across infrastructure design, IaC practices, technical documentation, and customer enablement content.
- Collaborate closely with Product and Development teams, representing customer needs and helping shape the roadmap.
- Guide customers in optimizing ML/AI/HPC pipelines for performance, scalability, and cost-efficiency on Nebius cloud infrastructure.
- Build visibility and ownership culture amongst Solutions Architects.
We expect you to have:
- 5+ years of experience in a technical role (Solutions Architect, DevOps Engineer, ML Engineer, or similar) with a focus on cloud-native systems and distributed computing.
- 2+ years of experience leading or mentoring customer facing engineering teams.
- Deep hands-on experience with Infrastructure as Code (Terraform, Ansible), Kubernetes, and cloud automation.
- Strong communication and stakeholder management skills across both technical and non-technical audiences.
- Passion for developing scalable, reliable cloud architectures and driving customer success.
It will be an added bonus if you have:
- Experience with HPC or ML orchestration frameworks (e.g., Slurm, Kubeflow, Ray).
- Strong coding skills in Python and experience with GPU computing environments for ML/AI workloads.
- Proficient in GPU stack components (e.g., CUDA, cuDNN) and cloud-native patterns for ML training/inference.
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX).
- Understanding of cloud-based ML tools and offerings from NVIDIA, AWS, Azure, or Google Cloud.
- Experience participating in or leading technical contributions to conferences or open-source communities.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
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Key Customers Solutions Architect EMEA
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius seeks a Key Customers Solutions Architect to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.
You’re welcome to work remotely from Europe.
Your responsibilities will include:
- Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML.
- Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
- Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
- Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
- Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.
We expect you to have:
- Experience: 5 - 10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
- Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
- Experience with Kubernetes and Python programming.
- Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
- Customer-centric approach with a proven ability to build trust and foster long-term relationships.
- Strong ability to explain technical concepts to technical and non-technical audiences.
It will be an added bonus if you have:
- Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
- Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
- Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
- Proven experience mentoring technical teams and driving team growth.
- Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Senior ML Engineer - Kimchi (LLM Inference Optimization)
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Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
About the role
Throughput. Latency. KV cache utilization.
Move those three numbers in the right direction, and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every kernel you tune, every quantization scheme you ship, every scheduler tweak you land shows up directly in a customer's p99 and on our P&L.
This is a high-impact seat. It is also a high-autonomy seat as you'll be given the room to lead the technical direction of inference optimization at Kimchi, not execute someone else's roadmap.
The problem: running LLMs in production is a moving target. The "right" model and serving configuration for a workload depend on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, quantization tolerance, and a dozen other variables that shift week to week. Most teams pick a model once, over-provision GPUs, and absorb the cost. Kimchi is the system that makes that decision automatically - continuously matching workloads to the most cost-efficient, best-performing LLM and serving configuration on a customer's infrastructure. We're building the optimization layer between the model and the hardware, and we need engineers who understand both sides deeply.
Stack
Python; vLLM; SGLang; TensorRT-LLM; PyTorch; CUDA-adjacent tooling; Kubernetes; gRP; ClickHouse; PostgreSQL; GCP Pub/Sub; AWS / GCP / Azure; GitLab CI; ArgoCD; Prometheus; Grafana; Loki; Tempo.
Requirements:
- 5+ years building real ML systems, with a portfolio that shows depth in inference or training infrastructure (not just model training notebooks).
- Strong Python - production services, not scripts.
- Hands-on experience with at least one of vLLM, SGLang, or TensorRT-LLM, and a working mental model of why an inference engine performs the way it does on a given GPU.
- Fluency with quantization tradeoffs - you've measured quality regressions, not just compression ratios.
- Comfort with distributed systems: collective communication, sharding strategies, and the practical failure modes of multi-GPU and multi-node setups.
- A bias toward measurement. You instrument before you optimize, and you can tell the difference between a real win and a benchmark artifact.
- Self-direction. This role comes with a wide mandate; you should be excited by that, not unsettled by it.
Responsibilities:
- Push throughput. Continuous batching, speculative decoding, chunked prefill, kernel-level tuning across vLLM, SGLang, and TensorRT-LLM. Find the ceiling on each GPU SKU, then raise it.
- Cut latency. Attack TTFT and TPOT separately. Profile, identify the actual bottleneck (compute, memory bandwidth, scheduling, networking), and fix it - not the bottleneck you assumed.
- Get more out of the KV cache. Paged attention, prefix caching, eviction policies, cache reuse across requests, quantized KV. This is where a lot of the unrealized throughput lives, and it's an area you'll own.
- Quantize without regressing quality. INT8, INT4, FP8 across weights, activations, and KV. Empirical work: measure quality on real workloads, not just perplexity benchmarks.
- Shrink cold starts and memory footprint. Faster init, smarter weight loading, tighter memory accounting - the difference between a model that scales and one that doesn't.
- Scale across nodes. Distributed inference topologies, network-aware placement, checkpointing strategies that don't bottleneck on storage or interconnect.
- Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments.
What’s in it for you?
- Competitive salary (depending on the level of experience).
- Enjoy a flexible, remote-first global environment.
- Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
- Equity options.
- Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
- Spend 10% of your work time on personal projects or self-improvement.
- Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
- Annual hackathon to spark new ideas and strengthen team bonds.
- Team-building budget and company events to connect with your colleagues.
- Equipment budget to ensure you have everything you need.
- Extra days off to help maintain a healthy work-life balance.
Hiring process
- Screening call with Recruiter
- Hiring Manager interview
- Technical interview (system design)
- Live coding
- Culture Check interview with an executive
As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
Please note that Cast AI does not provide any form of visa sponsorship/work permit.
#LI-Remote
Ready to apply?
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En EPAM NEORIS, creemos que la transformación empieza por las personas. Hoy, como parte de EPAM, ampliamos nuestro alcance global y nuestras capacidades, pero mantenemos lo más importante: una cultura donde cada persona puede crecer, aportar y ser protagonista. No buscamos solo cubrir puestos. Buscamos incorporar talento que quiera superarse, aprender constantemente y dejar huella en cada proyecto. Somos un equipo diverso, inclusivo y en constante evolución. Impulsamos ideas, no jerarquías. Apostamos por el desarrollo real de cada persona. Si quieres trabajar en un lugar donde tu crecimiento importa tanto como los resultados, te estamos buscando.
Respaldados por más de 60,000 profesionales en más de 55 países y un sólido modelo Nearshore, conectamos capacidades globales con confianza local para generar impacto real, crecimiento sostenible y resultados de alto valor para nuestros clientes.
Estamos en búsqueda de: Ingenieros/as en IA Generativa – Sector Banca (Mid & Senior)
Buscamos perfiles con 3-4 años de experiencia y perfiles Senior con 5-6 años de experiencia para participar en proyectos estratégicos de transformación digital en clientes del sector financiero, trabajando en soluciones basadas en LLMs, arquitecturas RAG y agentes inteligentes en entornos cloud.
Principales responsabilidades:
• Diseñar y desarrollar soluciones de IA Generativa aplicadas a casos de uso bancarios (asistentes virtuales, automatización documental, análisis inteligente, copilotos internos, etc.).
• Implementar y orquestar agentes utilizando frameworks como LangChain y LangGraph.
• Diseñar arquitecturas RAG (Retrieval-Augmented Generation) robustas y escalables.
• Integrar modelos LLM (OpenAI, modelos open-source, Bedrock, etc.) en entornos productivos.
• Desplegar soluciones en AWS asegurando buenas prácticas de seguridad, escalabilidad y gobierno del dato.
• Colaborar con equipos de Data, Arquitectura y Negocio para definir soluciones técnicas alineadas a requerimientos regulatorios del sector banca.
• Optimizar rendimiento, costes y calidad de respuestas de los modelos.
Requerimientos:
Excluyentes:
• Experiencia en proyectos de IA Generativa con LLMs.
• Conocimiento práctico en desarrollo de agentes con LangChain y/o LangGraph.
• Experiencia diseñando e implementando arquitecturas RAG.
• Experiencia trabajando en entornos Cloud (AWS idealmente).
• Programación en Python.
• Experiencia en integración de APIs y microservicios.
Deseables:
• Experiencia previa en sector Banca o Servicios Financieros.
• Conocimientos en Data Engineering (pipelines, procesamiento de datos, vector databases).
• Experiencia en Machine Learning tradicional (entrenamiento, evaluación, MLOps).
• Conocimientos en AWS Bedrock, SageMaker u otros servicios de IA en AWS.
• Experiencia con bases de datos vectoriales (FAISS, Pinecone, OpenSearch, etc.).
• Buen entendimiento de prácticas de seguridad y cumplimiento normativo en entornos regulados.
Ofrecemos
• Contrato indefinido con salario competitivo
• Modalidad flexible y posibilidad de trabajo remoto.
• Plan de carrera personalizado y formación continua
• Participación en proyectos estables con alto componente técnico.
• Flexibilidad horaria y enfoque en la conciliación.
• Beneficios sociales adaptados a tus necesidades
Te invitamos a conocernos en http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.
#LI-CF1
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Embedded Software Engineer
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AST SpaceMobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today’s five billion mobile subscribers and finally bring broadband to the billions who remain unconnected.
Position Overview
We are seeking an Embedded Software Engineer to develop and maintain the company’s embedded software solutions, working with microcontrollers, RTOS environments, and data-driven tools to support testing, validation, and production systems.
Key Responsibilities:
• Develop and maintain software for the company’s devices.
• Program ARM microcontrollers in C/C++ within RTOS environments.
• Develop testing tools and test benches using Python.
• Process and analyze test data and results for evaluation and validation.
• Develop reporting systems, real-time visualizations, and dashboards.
• Integrate software with production management tools and systems.
• Implement and manage communication protocols including RF, Ethernet, USB, SPI, I2C, and UART.
• Participate in code reviews and ensure software quality.
• Manage technical documentation and version control using Git/GitLab, including submodules and collaborative workflows.
• Contribute to continuous improvement of team processes and methodologies.
Qualifications
Education:
Bachelor’s degree in Electronic Engineering, Computer Engineering, Telecommunications, or a related field.
Experience:
• Experience in embedded software development for microcontrollers and RTOS environments.
• Experience programming in C/C++.
• Experience developing tools and scripts in Python.
• Experience in data processing and analysis.
• Experience developing visualization, reporting, or dashboard tools.
• Experience with Git/GitLab and collaborative development workflows.
Preferred Qualifications:
• Knowledge of FPGA development and related technologies.
• Experience or interest in Artificial Intelligence and Machine Learning, particularly for data analysis, anomaly detection, and models based on PyTorch or TensorFlow.
Soft Skills:
• Proactive, autonomous, and results-oriented mindset.
• Strong analytical and problem-solving skills.
• Good communication skills and ability to work effectively in a team.
• Fluent level of English.
Technology Stack:
• C/C++
• Python
• ARM microcontrollers
• RTOS environments
• Git / GitLab
• Communication protocols: RF, Ethernet, USB, SPI, I2C, UART
Physical Requirements
Ability to work in a standard office environment and use a computer for extended periods.
This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands.
AST SpaceMobile is an Equal Opportunity, at will Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
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Senior Detection Engineer - Windows, Identity Security
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Our Purpose
At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.
About Us
SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.
Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.
What Are We Looking For?
We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Windows Identity Detection Engineer you will research and detect emerging identity threats by developing behavior-based detection methods. You’ll build tools and PoCs to identify and prevent attacks such as Pass-the-Hash, Silver Ticket, and MFA bypass. Your work will directly strengthen the security of millions of Windows endpoints protected by the platform. In this role, you’ll have a unique opportunity to expand your skillset beyond just Windows security, and to not only contribute, but to significantly influence the buildout of a new side of our business - Identity security - from the ground up!
What will you do?
Primary responsibilities include:
- You’ll be responsible for detecting the newest identity threats. Your role won’t end with a hypothesis or a document - you’ll have an end to end responsibility for behaviour based detection capabilities, starting from researching attack techniques, designing new methods to detect or prevent those, and implementing it in the product in the end (SW development in C++23 and scripting in Lua).
- You’ll be developing and using internal research tools, PoCs and discovering new ways to detect/prevent identity-based attacks (Pass the Hash, Silver ticket, MFA bypass and more).
- At the end of the day, your deliveries will enhance the security of dozens of millions of Windows endpoints which are protected by our platform.
What experience or knowledge should you bring?
Ideal candidates will have:
- 3+ years of experience in malware analysis (statically and dynamically)
- 3+ years of experience with C++, an advantage would be knowledge of Lua or similar scripting language
- Excellent understanding of the Windows Internals - understanding how core system components (Process and Threads, Virtual Memory and more) work behind the scenes.
- Experienced with analysis tools, such as: IDA, WinDBG, SysInternals etc.
- A big plus - experience with Identity-based attacks (Pass the Hash, Silver ticket, MFA bypass and more)
- An advantage would be - kernel development experience and/or understanding of existing AVs internals
Why SentinelOne?
AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.
We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:
- Flexible working hours, this is a 100% remote role based within Spain; we provide optional membership in major coworking chains
- Currently for this role in Spain we are able to consider only candidates that are already eligible to work in the EU at the time of applying
- Optionally for those willing to relocate to the Czech Republic relocation assistance is available for any candidates that are already eligible to work in the EU at the time of applying
- Generous employee stock plan in the form of grant of RSUs (restricted stock units), not options; 4 years vesting with 1 year cliff and then quarterly, stock refresh yearly
- Yearly bonus depending on the performance of the company, paid out in 2 installments
- 30 Days of Paid Annual Leave
- Flexible Paid Sick Days
- Pension insurance contribution
- Premium Life Insurance covered by S1
- Premium Medical & Dental Insurance covered by S1
- Meal, Transport & Homeoffice allowance of total 440 EUR/month
- Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) & Grandparent Leave
- Volunteering paid day off & Additional paid Company holidays off (e.g. 4 days in 2022)
- Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
- LinkedIn Learning platform for Hard/Soft skills Training & Support for your further educational activities/trainings
- Above-standard referral bonus
& Additional country-specific benefits to Spain
SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
SentinelOne participates in the E-Verify Program for all U.S. based roles.
Ready to apply?
Apply to SentinelOne
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Auth0 provides an unparalleled authentication experience for hundreds of millions of users worldwide. Our commitment to reliability is a key foundation of our product and our dedication to exceeding customer availability expectations is a core engineering focus. As a mid-level Site Reliability Engineer, you'll join our SRE team based in Europe to ensure our production systems are not only operational but also resilient, scalable, and ready for exponential growth. This isn't just about keeping the lights on; it's about directly contributing to the platform's core resiliency and robustness. You'll be a hands-on builder, crafting solutions that make our system more reliable by design.
What you’ll do:
- Design and build custom software in Go to enhance the platform's reliability, resiliency, and redundancy.
- Partner with engineering teams to embed reliability principles, improving the availability, performance, and observability of our services.
- Use your deep understanding of infrastructure and observability principles to identify opportunities for improvement within the product and implement solutions.
- Contribute to our on-call rotation, providing rapid, effective response to critical incidents and using your expertise to troubleshoot, mitigate or accurately escalate production issues.
- Develop and refine our SRE tooling and processes, focusing on automation and operational efficiency.
- Define, document, and champion reliability best practices across the organisation.
What you'll need to be successful:
This role requires a unique blend of a software engineer's mindset and operational expertise. You'll thrive in this role if you have:
- A proactive and systematic approach to problem-solving, with a high degree of ownership.
- Proven experience in a production environment supporting large-scale, mission-critical applications with a high degree of autonomy.
- Proficiency in at least one programming language, with a strong preference for Go. You should be comfortable writing custom applications, not just scripts.
- Experience with infrastructure as code (Terraform), container orchestration (Kubernetes, Docker) and GitOps (ArgoCD).
- Demonstrable expertise in a major cloud provider (Azure, AWS, or GCP).
- A strong grasp of microservices architecture, databases (SQL, NoSQL), and networking fundamentals, so you can understand how custom code can solve platform-level issues.
- An understanding of core SRE principles, including SLIs, SLOs, and error budgets.
- Experience in an on-call rotation for a 24/7 cloud-based environment.
- Exceptional communication and collaboration skills, with a proven ability to work effectively in a remote, distributed team, where tasks may be self-driven.
We're looking for someone who is not just looking for a job, but a career-defining opportunity to tackle complex challenges at a massive scale. If you're a curious and motivated engineer who's passionate about building reliability directly into the platform, we'd love to hear from you.
#LI-Remote
P14337_3272114
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Auth0 provides an unparalleled authentication experience for hundreds of millions of users worldwide. Our commitment to reliability is a key foundation of our product and our dedication to exceeding customer availability expectations is a core engineering focus. As a Senior Site Reliability Engineer, you'll join our SRE team based in Europe to ensure our production systems are not only operational but also resilient, scalable, and ready for exponential growth. This isn't just about keeping the lights on; it's about directly contributing to the platform's core resiliency and robustness. You'll be a hands-on builder, crafting solutions that make our system more reliable by design.
What you’ll do:
- Design and build custom software in Go to enhance the platform's reliability, resiliency, and redundancy.
- Partner with engineering teams to embed reliability principles, improving the availability, performance, and observability of our services.
- Use your deep understanding of infrastructure and observability principles to identify opportunities for improvement within the product and implement solutions.
- Contribute to our on-call rotation, providing rapid, effective response to critical incidents and using your expertise to troubleshoot, mitigate or accurately escalate production issues.
- Develop and refine our SRE tooling and processes, focusing on automation and operational efficiency.
- Define, document, and champion reliability best practices across the organisation.
What you'll need to be successful:
This role requires a unique blend of a software engineer's mindset and operational expertise. You'll thrive in this role if you have:
- A proactive and systematic approach to problem-solving, with a high degree of ownership.
- Proven experience in a production environment supporting large-scale, mission-critical applications with a high degree of autonomy.
- Proficiency in at least one programming language, with a preference for Go. You should be comfortable writing custom applications, not just scripts.
- Experience with infrastructure as code (Terraform), container orchestration (Kubernetes, Docker) and GitOps (ArgoCD).
- Demonstrable expertise in a major cloud provider (Azure, AWS, or GCP).
- A strong grasp of microservices architecture, databases (SQL, NoSQL), and networking fundamentals, so you can understand how custom code can solve platform-level issues.
- An understanding of core SRE principles, including SLIs, SLOs, and error budgets.
- Experience in an on-call rotation for a 24/7 cloud-based environment.
- Exceptional communication and collaboration skills, with a proven ability to work effectively in a remote, distributed team, where tasks may be self-driven.
We're looking for someone who is not just looking for a job, but a career-defining opportunity to tackle complex challenges at a massive scale. If you're a curious and motivated engineer who's passionate about building reliability directly into the platform, we'd love to hear from you.
#LI-Remote
P17684_3303790
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Position Description:
The Iberia Solutions Engineering team are involved in all stages of the customer’s development lifecycle and are experienced using presentations, email, phone and social media to connect with customers. We are looking for great teammates that can build sales presentations, product demonstrations, and educate customers (everyone from developers to product managers to C-level executives) on the best ways to cloud security technology.
We believe in Okta’s Solutions Engineers empathise with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs. You have the rare combination of technical savviness and business insight and you’re looking for a career where you can utilise both. As a Solutions Engineer at Okta, you will hone each of these skills by advising a diverse set of customers on what is possible using Okta’s Identity Platform. This position is based in Madrid.
Job Duties and Responsibilities:
- Collaborate with account executives to develop and execute territory and account strategies to maximize the Okta opportunity in those accounts
- Conduct research and discovery to understand customer requirements and communicate the business value of solving technology problems using cloud technology
- Execute the delivery of POCs for customers with complex use cases, collaborating with other Okta engineering teams as needed
- Craft technical content to show customers how to implement specific use cases or standard methodologies for new technologies
- Prepare and deliver demos to showcase how the Okta platform meets customer’s business needs and use cases.
- Distill and communicate customer needs and product feedback to Product Management, Engineering, Marketing and Sales
Desired Skills:
- A passion to serve the customer, which has played out in some customer-facing role like consulting or support, ideally solutions engineering
- An ability to quickly and effectively communicate complex technical concepts via presentation, slides and whiteboard
- A good understanding of Identity & Access Management (IAM): SSO, MFA, SCIM, OAuth 2.0, OIDC, SAML, and LDAP.
- A strong understanding of Zero Trust Architecture and core security concerns within a typical application (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
- Hands-on experience in one or more of the following areas is a plus: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications
- Experience with cloud platforms: AWS, Azure, GCP.
- You are an elite communicator
- Can identify, map, and manage multiple personas: IT admins, CISOs, architects, procurement, and legal.
- Confident dispensing knowledge to a highly skilled and experienced audience
- Typically 10-25% travel
- Native Spanish speaker is a must
- Professional English proficiency (Spoken and written) is a must
#LI-JB2
#LI-HYBRID
P13995_3347092
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
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Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. Feedzai is securing the transition to a cashless world while enabling digital trust in every transaction and payment type. The world’s largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. Feedzai is a Series D company and has raised $282M to date. With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year.
We believe in the power of our product. We continue to execute and build momentum as we develop our customer base with the world's top banks; we work with four of the five largest banks in the US, acquirers, processors, and merchants. In our fast-paced and open environment, you will be working with a collaborative team spanning across the globe and delivering exceptional results. We are committed to building something extraordinary. Join Us!
You:
As a Senior Solutions Consultant at Feedzai, you will play an integral role in the sale of our leading RiskOps platform to high-profile Financial Institutions. You will partner with Feedzai’s sales team to understand clients, prospects and partners’ business, functional and technical needs and demonstrate how those can be achieved through the capabilities of our platform. You not only support effective qualification, but also own the technical dimension that addresses the business needs - you will successfully employ a combination of communication and soft skills, compelling storytelling, solution design and collaboration with a strong solutions design mindset to act as the trusted advisor with the clients. As needed you’ll also be a bridge to our product and development teams, distilling sales engagement feedback for them to help guide our roadmap. Finally you’ll have the organizational skills to do all this, and be able to lead multiple RFP proposals.
Your Day to Day:
- Provide product demonstrations and lead technical sales discussions both remote and onsite across Europe.
- Assist the sales team in leading tailored value driven pitches (market to technology), strongly focused in financial crime.
- Understand client business needs and offer solution designs to address those needs, in a continuous education mode and problem-solving mindset.
- Manage (orchestrate, complete, review, submit) formal Tenders (ie, RFPs, RFIs).
- Build formal proposals and own its life cycle throughout the sales process to ensure crisp translation of business needs into technical requirements.
- Engage with multiple stakeholders, from Product to Delivery, to ensure not only the right staffing for client engagements is in place but also to ensure market insights are shared across teams
You Have, You Know-how, You are:
- BS or Masters in Computer Science or equivalent - proven experience in Enterprise Software sales and strong technical acumen.
- 5+ years of professional experience as Solution Consultant in complex environments, supporting teams to land and expand client’s portfolio.
- Proven experience in the Financial Services industry - Financial Crime
- Relevant commercial / sales experience, with a track record working as a Solution Consultant / Pre-sales Engineer, supporting quota carriers in selling enterprise-level software in complex and mission-critical environments.
- Experience at a growth-stage Enterprise software SaaS company.
- Ability to understand and determine an enterprise's client’s needs and how Feedzai’s products might best fit through a consultative approach.
- Strong business acumen with executive presence, strong presentation skills and excellent listening skills
- Must be organized and a self-starter, able to deliver high-quality work without a tactical oversight in a fast-paced environment.
- Highly driven, organized, ambitious and tenacious. A natural problem solver with a strong student mentality, work ethic and positive mental attitude.
- Willingness to travel up to 30% - this is a remote role, with travel as required.
#LI-Remote #LI-JP1
Your First 30-Days at Feedzai:
You will be immersed in our brand with training, connections, and one-on-one time with your manager. You may shadow your colleagues virtually or onsite at an office depending on where you work as you are supported through your Feedzai journey. In addition, you will have access to a ton of information to give you history, context, and all the knowledge you can handle about Feedzai and the team. Finally, you will start working on projects and collaborating on work currently being done. We can't wait to have you join the team!
Feedzai is an Equal Opportunity Employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Feedzai does not accept unsolicited resumes from recruiters or employment agencies.
Feedzai will use the personal data you provide us with by filling out this form for reviewing your application and to potentially negotiate a contract with you. Your personal data will be retained by Feedzai for 24 months following your application. Please see our Privacy Notice available at https://www.feedzai.com/legal/feedzai-candidate-privacy-policy/ and https://www.feedzai.com/legal/feedzai-california-candidates-privacy-policy/ for more information on how we process your personal data.
Ready to apply?
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We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do:
- Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
- Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
- Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
- Drive product direction with a strong user focus, always advocating for the best end-user experience.
- Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
- Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
- Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.
Who You Are:
- You have a BS/MS/PhD in a scientific field or equivalent experience
- 10+ years of relevant engineering experience, as well as experience acting as a technical lead
- Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
- You have significant experience in model deployment, development, training, fine-tuning, and evaluation
- You are passionate about mentoring others and cultivating a high-performing engineering culture.
- You’re excited about leveraging AI tools to enhance how you code, solve problems, and build.
- You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
- Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- Generous and competitive benefits package
- New hire stock equity (RSUs) and employee stock purchase plan
- Continuous career development and pathing opportunities
- Employee-focused best in class onboarding
- Internal mentor and cross-departmental buddy program
- Friendly and inclusive workplace culture
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
Staff AI Engineer - Notebooks
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We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do:
- Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
- Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
- Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
- Drive product direction with a strong user focus, always advocating for the best end-user experience.
- Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
- Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
- Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.
Who You Are:
- You have a BS/MS/PhD in a scientific field or equivalent experience
- 10+ years of relevant engineering experience, as well as experience acting as a technical lead
- Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
- You have significant experience in model deployment, development, training, fine-tuning, and evaluation
- You are passionate about mentoring others and cultivating a high-performing engineering culture.
- You’re excited about leveraging AI tools to enhance how you code, solve problems, and build
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- Generous and competitive benefits package
- New hire stock equity (RSUs) and employee stock purchase plan
- Continuous career development and pathing opportunities
- Employee-focused best in class onboarding
- Internal mentor and cross-departmental buddy program
- Friendly and inclusive workplace culture
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Remote
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
Senior Security Engineer (all genders)
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Meet Urban Sports Club
We are among the leading platforms for sports and wellness in Europe, dedicated to inspiring people to live active, healthy lives. With just one membership we offer access to thousands of fitness and wellness experiences across the continent.
But what truly sets us apart? We believe our people are at the heart of everything we do. If you’re curious about how we work, what we value and how you might grow with us, explore our Culture Hub & Career Opportunities.
*Big news: Wellhub and Urban Sports Club unite!*
Urban Sports Club is now a proud part of Wellhub, creating a global wellbeing ecosystem. Together, we connect 39,000 corporate clients and 97,000 wellness partners across 18 countries, offering millions of people even more ways to stay active and take care of their health.
The opportunity
Urban Sports Club is building a security function that moves with heart and mind. As a Security Engineer you will work across the full security landscape – from application security to cloud runtime to development pipelines and of course AI – bringing genuine breadth alongside real depth in your domain specialisations.
You will work side-by-side with IT analysts, developers, product managers, and leadership alike to embed security into how we build and operate. You will report to the Director of Cyber Security, with the empowerment and autonomy to shape how security is done across the company.
This role suits those with a builder’s mindset who gets restless without a hard problem to solve, who is excited about the intersection of AI and security, and who communicates as comfortably in a board update as in a pull request review.
What you will do
- You partner with engineering, product, and infrastructure teams to identify and mitigate security risks across our cloud, application, and AI/ML environments
- You lead security initiatives in your specialist area – whether that is AI/ML Security, DevSecOps, Application/Product Security, or Cloud Security – while staying curious and contributing across different domains
- You design, build, and operate security controls, automation, and tooling that scale with a fast-growing platform
- You drive threat modelling, secure design reviews, and risk assessments for new features, services, and infrastructure changes
- You detect, respond to, and investigate security incidents; own root cause analysis and drive post-incident improvements
- You translate complex security topics into clear, actionable language for technical and non-technical audiences, including C-level leadership
- You track the evolving threat landscape, with particular attention to AI/ML attack surfaces and AI-assisted security tooling, bringing those insights back into the business
What you will need to succeed
- You bring 5+ years of hands-on security engineering (or equivalent) in fast-paced, high-growth environments
- You have a deep expertise in at least one domain: AI/ML Security, DevSecOps, Application/Product Security, or Cloud Security
- You bring a strong builder mindset: able to script, automate, write detections, and review architectures/designs
- You understand modern threats (e.g., AI/ML risks, software supply chain, API and cloud security)
- You are are an excellent communicator across technical and executive audiences (e.g., engineers to CISO level)
- You are able to work autonomously, set direction, and thrive in ambiguous, collaborative environments
- Nice to have: Experience with platform/marketplace products, Kubernetes security in AWS/GCP, EU regulations (GDPR, NIS2, DORA), and scripting (Python, Go)
What’s in it for you
- Free Urban Sports Club L Pro Membership + Friends and Family Discount: Stay active with free membership, plus discounts for friends and family.
- Flexible Work Model: Enjoy a hybrid work setup, balancing on-site and remote work options to fit your lifestyle.
- Extended Remote Work Options: Work up to 120 days remotely within the EU, the UK, and Switzerland, including 30 days outside the EU. You’ll also have the option to desk-swap at our other European offices.
- WorkOUT Life Balance: Take advantage of 30 days of paid vacation annually, plus two additional days for volunteering, flexible working hours, and complimentary access to our mental health provider Open Up.
- Personal Development: Receive an annual budget of €1,000 for professional growth, with regular internal training sessions and weekly German and English language classes.
- Engaging Team Culture: Participate in regular team and company events along with wellness initiatives that help you stay productive, healthy, and engaged in a hybrid work environment.
Urban Sports Club is committed to providing a friendly, safe, and welcoming environment for everyone who applies for a position or already works with us, regardless of their sports preferences, gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, or religion (or lack thereof).
Ready to apply?
Apply to Urban Sports Club
QA Engineer (AI Assistant Features)
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At JetBrains, code is our passion. Ever since we started back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
AI Assistant is an advanced software tool that leverages artificial intelligence to aid developers in various tasks. Our team develops the AI Assistant plugin for JetBrains IDEs. This tool integrates AI into the coding environment, enhancing features like code completion, debugging, and VCS operations. We’re striving to make JetBrains AI Assistant the most useful and intuitive AI-powered tool on the market, focusing on core features such as code completion, code generation, refactoring, and general assistance via chat.
As part of our team, you will:
- Perform functional, exploratory, and regression testing.
- Design test cases and write specifications.
- Reproduce bugs and verify fixes.
- Communicate with the team, as well as internal and external users.
- Participate in feature discussions and planning.
- Have the opportunity to get hands-on experience working with data, performing online experiments, and measuring the impact of features on end users.
Requirements:
- Experience in testing without functional specifications.
- Knowledge of testing methodologies.
- Understanding of programming concepts sufficient for writing simple applications.
- Experience with Java or Kotlin.
- Commitment to working as a team, sharing your knowledge, and being open to other points of view.
You’ll be great for our team if you:
- Have an interest in machine learning.
- Have experience working with data and know how to make data-informed decisions.
Why join JetBrains?
- Strong base salary. We offer competitive pay that reflects your skills and experience.
- Flexible work location. Enjoy the freedom to work from home or from the office.
- Remote work. Spend up to 30 days per year working remotely from abroad.
- Extra time off. More days to relax, recharge, and do the things you love.
- Medical insurance allowance. Enjoy peace of mind for you and your family
- Learning and development opportunities. Access to conferences, courses, and language classes.
- Relocation support. We help make your move as smooth and stress-free as possible.
- Language classes. Pick up the local language or sharpen your English skills.
- Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
- Mental health support. To help you feel your best, we provide easy access to professional mental health services.
- Sports benefit. Enjoy an on-site gym or sports club stipend.
- Internal events. Join company-wide celebrations and team gatherings.
*Some benefits may vary depending on location.
#LI-DNI
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
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Data Engineering Lead
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Who we are
Moniepoint Inc. is Africa’s all-in-one financial ecosystem, helping 10 million businesses and individuals access seamless payments, banking, credit, and business management tools since 2019.
As Nigeria’s largest merchant acquirer, it powers most of the country’s Point of Sale (POS) transactions. Through its subsidiaries, Moniepoint Inc. processes $22 billion monthly for its customers while operating profitably.
About the role :
At Moniepoint, data is at the core of everything we do. We are a customer-centric company, and your work will enable our teams to make informed, data-driven decisions that directly impact the success of our business. As a Data Engineering Lead, you will help craft robust, scalable systems that support our business intelligence and data-driven operations. We value leaders who are not only technically adept but also excited about mentoring others and pushing the boundaries of what’s possible with data.
Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.
What you will get to do
- Build and maintain robust data pipelines processing large volumes of data
- Analysis of large data sets using tools such as Python & SQL
- Update and optimize our data platform for speed, scalability and cost
- Coordinate with different functional teams to understand and meet their data needs
- Develop processes and tools to monitor and analyze model performance and data accuracy
- Solve general data-related problems
- Setting up new pipelines for the full stream/enrichment/curation process
- Upkeep of source code locations
- Investigating and utilising ML & AI to improve the cloud offering
- Development of junior staff members
To succeed in this role, you should have
- Proven experience as a Data Engineer (5-7+ years, can be made up for with accomplishments)
- Strong Leadership experience
- Strong problem solving skills
- Advanced proficiency with SQL
- Proficiency with Python
- Experience with cloud platforms (e.g. Google Cloud, AWS, Azure)
- Experience using version control tools such as git
- Excellent written and verbal communication skills
- A drive to learn and master new technologies and techniques
- A bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field
Experience with the following would be a plus
- Data governance
- Building and deploying machine learning models
- Terraform or other infrastructure as code tools
What we can offer you
- Culture - We put our people first and prioritize the well-being of every team member. We have built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
- Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
- Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.
What to expect in the hiring process
- A preliminary phone call with the recruiter
- A take-home assessment
- A technical interview with a Lead in our Engineering Team
- A behavioural and technical interview with a member of the Executive team.
Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.
Ready to apply?
Apply to Moniepoint
Data Engineer
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Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.
This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.
Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.
This is an internal and non-client facing role.
What you’ll do:
Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform. That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:
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Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.
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Develop engineering expertise within Snowflake for data engineering and security/governance features
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Build & maintain python & SQL data replication & data pipelines on large & often complex data sets
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Build & maintain data quality metrics & observability to help drive data quality standards
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Learn about existing systems and processes across Data Platforms, Data Engineering and Data Governance
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Troubleshoot data pipelines, platform automations, data access system.
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Help field and troubleshoot various community questions and challenges
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Own, maintain and enhance data operation processes, monitoring & data quality systems
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Design data models for both short term and long term use cases to support data warehouse scalability
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Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency
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Identify opportunities for improvements & optimization for greater scalability & delivery velocity
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Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables
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Perform root cause analysis on often complex errors to help ensure data pipeline availability
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Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration
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Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering
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Proactively drive innovation internally with bringing ideas for platform and process improvements
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Help contribute to the ongoing documentation of internal systems and processes
Requirements:
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2+ years of relevant experience in Data Engineering / Data Platform Engineering
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Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus.
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Prior experience with Snowflake a plus
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Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins
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Experience in building data models
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Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment
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Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.
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Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies
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Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements
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Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment
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Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same
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Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision
Ready to apply?
Apply to Dataiku
Data Engineer II
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Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Dataiku is looking for a Data Engineer II to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA Team, you will play a central role in delivering data to fuel analytics, AI, and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the Data Platform that fuels centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users across the organization.
You will become a technical expert on the various platforms we work in and help drive engineering excellence both within the EDA team and across the wider Analytics Community. The Data Engineering day to day will primarily be within the Data Platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.
Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. Strong software development lifecycle knowledge and DataOps skills are a must. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.
This is an internal and non-client-facing role.
What you’ll do:
Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform. That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts! Your responsibilities within the team include but are not limited to:
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Be an expert level engineer within the Dataiku Platform including Platform Automation, GenAI Capabilities, Plugin Development, maintenance & troubleshooting
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Be an expert level engineer within Snowflake for data engineering and security/governance features
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Build & maintain python & SQL based platform automation process
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Build & maintain data quality metrics & observability to help drive data quality standards
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Design data models for both short term and long term use cases to support data warehouse scalability
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Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency
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Build & maintain GenAI Platform platform solutions focused on security and governance for engineering delivery
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Build & maintain DataOps process for SDLC delivery
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Identify opportunities for improvements & optimization for greater scalability & delivery velocity
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Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables
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Perform root cause analysis on often complex errors to help ensure data pipeline availability
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Help drive technical & architectural decisions on the data platform including decisions on data architecture, data engineering processes, data quality frameworks, data access security & governance frameworks, DataOps processes & data consumption models.
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Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration
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Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering
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Proactively drive innovation internally with dedicated innovation time & projects that aim to be transformational for either the platform, team or company as a whole.
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Actively contribute to the expertise level and competencies of the EDA Team and participate in the creation and support of data development standards and best practices.
Requirements :
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3+ years of relevant experience in Data Engineering / Data Platform Engineering
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Expertise in SQL & Python is a must. Experience in Dataiku DSS is a big plus.
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Prior experience with Snowflake strongly desired
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Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins
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Strong understanding of data architecture & data modeling concepts
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Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment
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Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas and challenge the norm.
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Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies
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Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements
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Ability to manage multiple projects and time constraints simultaneously in a high trust remote environment
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Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same
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Excellent written and verbal communication skills (especially with senior level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision
Ready to apply?
Apply to Dataiku
About Ogilvy
Ogilvy, part of WPP, has been creating impact for brands through iconic, culture-changing, value-driving ideas since the company was founded by David Ogilvy 75 years ago. It builds on that rich legacy through Borderless Creativity – innovating at the intersections of its advertising, public relations, relationship design, consulting, and health capabilities with experts collaborating seamlessly across over 120 offices in nearly 90 countries. Ogilvy currently ranks as the #1 global agency network for creative excellence and effectiveness by WARC, signifying its ability to deliver creative solutions that drive unreasonable impact for clients and communities. Ogilvy is a WPP company (NYSE: WPP). For more information, visit Ogilvy.com, and follow us on LinkedIn, X, Instagram, and Facebook.
About WPP
WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.
We are looking for someone to join our Data department as a Data Engineer, helping us manage the integration and consolidation processes of our clients' data. In both on-premise and cloud environments, you will be responsible for designing the required information system architecture and managing and maintaining our clients' databases.
We’re looking for a proactive and analytical person who can adapt to a multidisciplinary team and is eager to help us tackle the many challenges our clients face.
What are we looking for?
Education:
- University degree in Computer Science, Software Engineering, or related fields with a technological specialization in data analysis and engineering.
- Plus: Master's or postgraduate degree in Big Data, Machine Learning, Cloud Computing, or Data Engineering.
Required Experience (demonstrable and advanced):
- Data Architecture & Systems: Extensive experience in designing, implementing, and optimizing complex, distributed information system architectures, including relational and NoSQL databases.
- Cloud Environments: Deep expertise in defining, implementing, managing, and maintaining enterprise-scale Cloud environments. Expert command of Azure and Google Cloud Platform (GCP), including PaaS/SaaS, serverless computing (Functions, Cloud Run, Azure Functions), containers (Docker, Kubernetes/AKS/GKE), and native cloud data services.
- Modern Data Warehouses: Advanced experience with cloud-native Data Warehouses like Snowflake, including dimensional data modeling, query optimization, and cost/performance management.
- Data Orchestration & Pipelines: Robust experience with data orchestration tools and building complex ETL/ELT pipelines using Pentaho, Apache Airflow, Data Factory, or similar, including CI/CD implementation for data pipelines.
- Advanced SQL: Demonstrable experience with advanced SQL, including complex analytical functions, query optimization, stored procedures, and efficient schema design.
- Software Development: Demonstrable experience with Javascript and Node.js, and Python for scripting, data automation, and ML model development.
Desired Experience:
- Customer Data Platforms (CDP): Experience in strategic definition, implementation, management, and maintenance of CDP solutions, preferably Segment, and their integration.
- Enterprise System Integration: Desirable experience with enterprise-level integration tools like Mulesoft or microservices architectures with REST/GraphQL APIs.
- Salesforce Ecosystem: Valuable experience working with Salesforce (Sales Cloud, Service Cloud, Marketing Cloud – SFMC), including data integration and automation.
Knowledge (Essential and Valuable):
- Deep knowledge and certifications in managing and optimizing cloud environments (Azure, GCP).
- Advanced knowledge and certifications in Snowflake (SnowPro Advanced/Architect is a plus).
- Proficiency in CDP tools (especially Segment).
- Knowledge of CRM / Marketing Automation tools (SFDC, SFMC, Adobe Campaign, Selligent Marketing Cloud).
- Advanced SQL knowledge (Analytical Functions, T-SQL, PL/SQL).
- Proficiency in programming languages like Javascript, Node.js, and Python.
- Strong understanding of Data Quality principles, Data Governance, and Normalization.
- Solid understanding of Machine Learning and AI algorithms for data enrichment and transformation.
- Experience with data streaming architectures (Kafka, Pub/Sub, Azure Event Hubs).
- Familiarity with MLOps and DataOps concepts.
Skills:
- Ability to analyze and solve complex problems.
- Project management and organizational skills for end-to-end data projects.
- Meticulous attention to detail and commitment to data quality.
- High capacity for discernment and prioritization in dynamic environments.
- Technical leadership and mentoring of junior profiles.
- Strategic thinking and innovation-oriented mindset.
- Excellent communication and presentation skills for clients and multidisciplinary teams.
Languages:
- Spanish (Native or Bilingual proficiency).
- English (High level C1/C2 - Essential for communication with international clients).
What would you do in this role? Here’s a list of responsibilities and tasks:
- Lead strategic requirements gathering, high-level design, and implementation of complex data solutions for client communication initiatives.
- Design and evolve scalable, efficient data architectures, selecting appropriate cloud-native technologies for each project.
- Design, develop, and optimize ETL/ELT data integration processes to ensure high-quality data ingestion, transformation, and availability.
- Implement end-to-end data solutions, ensuring validation, thorough documentation, and adherence to best practices in data engineering and security.
- Provide training and knowledge transfer to internal teams and clients.
- Maintain, evolve, and optimize existing data projects, ensuring monitoring, incident resolution, and continuous improvement.
- Manage and optimize client databases, ensuring performance, integrity, and security.
- Innovate with AI/ML: Implement data cleansing, normalization, consolidation, deduplication, and enrichment systems using ML/AI algorithms, including predictive scoring and customer clustering.
- Ensure Data Quality and Governance: Implement DQ mechanisms, guarantee data integrity, and ensure GDPR compliance across all processes.
- Strategically collaborate with clients: Participate in high-level meetings to assess current information system architectures, propose innovative improvements, and lead solution definitions for future challenges and new data platforms.
- Mentor and guide other data engineers, fostering best practices and professional development.
And since you'll give this and much more, we also want to give you much more:
- A dynamic and creative work environment.
- Important clients and international brands.
- Full-time position.
- Hybrid format.
- Christmas, Easter, July, and August: FULL REMOTE
- Flexible hours.
- Permanent contract with a six-month trial period.
- 22 working days of vacation per year + 12 extra days!
- Optional access to flexible compensation (health insurance, transportation, meals, and childcare).
- Ogilvy Wellness Program: Free psychological, legal, and financial support service. Discounts on physiotherapy and gyms.
- Ogilvy is recognized with the Family-Responsible Company (EFR) certification for its commitment to employee well-being and work-life balance.
If you’ve imagined yourself in this position, that’s a good sign. At Ogilvy, we want to work with the best talent—those who challenge us and make us better. People who are eager to experience an agency culture open to diversity as a principle and connectivity as a primary tool.
So, if you're nodding your head while reading this, send us your CV!
At Ogilvy, our people are at the heart of what we do: a creative agency that sparks game-changing ideas across culture and business through collaboration, integrity, and a celebration of self-expression.
We believe in building powerful teams with purpose - and we relentlessly curate transformative initiatives that make our commitment to fairness, and equity a reality.
Our ultimate mission is to leave a positive impact on the world, creating a better future for all, while supporting and uplifting the global communities we serve. This is central to our mantra of Borderless Creativity.
Ogilvy is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
If you need any assistance seeking a job opportunity, or if you need reasonable accommodation with the application process, please contact us at accommodations@ogilvy.com. Please note that this contact is only for candidates who are requesting accommodation. Emails for other purposes, including application status requests, will not receive a response.
Ready to apply?
Apply to Ogilvy
Data Engineer
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Our Mission: Why Lighthouse?
At Lighthouse, we’re on a mission to revolutionize commercial strategy as hospitality’s most powerful AI platform. We take the world's largest hotel data network and transform it into real-time intelligence that drives action. We don't just deliver insights; we empower businesses to make decisions that move revenue.
With $370M in Series C funding and over $100M in ARR, we are scaling at lightspeed. Our 850+ teammates across 35 countries aren't just building software—they are leveraging cutting-edge AI to help hoteliers be the first to act. Tens of thousands of hotels across 185 countries trust Lighthouse to execute their commercial strategy, including every one of the top 15 global chains and thousands of independent hotels that consistently outperform their markets. With Lighthouse AI, the intelligence gets deeper. Decisions get smarter. Actions get faster. We help hoteliers be first to act.
Lighthouse Values: Our guiding light
We are Lumineers. Our shared values keep us on a collaborative path fostering a cultural and customer centric environment
- Pursuit of greatness: We’re innovators who care deeply about our customers’ success. Our team brings their best work, stays curious, and delivers excellence through attention to detail
- Meaningful work matters: We make every moment count by knowing what to deliver, why it matters, and how it drives Lighthouse forward
- Elevate each other: We don’t just work together - we grow together. What unites us is understanding each other as people and working toward shared goals
We’re more than just a workplace – we’re a community. Collaborative, fun, and deeply committed, we work hard together to revolutionize the hospitality sector. Are you ready to join us and shine brighter in the industry’s most exciting rocket-ship? 🚀
Job details
● 💼 Engineering Team
● 📍 Spain - Barcelona
● 🕜 Full-Time/Remote
What you will do
As a Data Engineer in our new Data Products team, you will play a key role in shaping the quality and business value of our core data assets. You will be hands-on in designing, building, and maintaining the data pipelines that serve teams across Lighthouse. You will act as a bridge between our data and the business, collaborating with stakeholders and ensuring our data effectively enables its consumers.
Where you will have impact
- Become the expert for key data products, understanding the full data lifecycle, quality, and business applications.
- Design, implement, and maintain the streaming and batch data pipelines that power our products and internal analytics.
- Collaborate directly with data consumers to understand their needs, gather requirements, and deliver data solutions.
- Deliver improvements in data quality, latency, and reliability.
- Show a product engineering mindset, focusing on delivering value and solving business problems through data.
- You will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You’ll not only build AI features for our customers but also champion an AI-first development culture within the engineering team.
- Mentor other engineers, sharing your expertise and contributing to their growth.
About our team
The Data Products Team is the definitive source of truth for Lighthouse's data, sitting at the foundational layer of our entire data ecosystem.
Their core mission is to model and deliver high-quality, foundational data products that are essential ingredients for all downstream product features, machine learning models, and data science initiatives across the company:
- Data Modeling & Ownership: Defining and optimizing core data entities for product and analytical use.
- Pipeline Engineering: Building robust ETL/ELT pipelines to transform raw integrated data into trusted domains.
- Data Quality: Establishing standards and monitoring the health of all foundational data assets.
We are the core of the Lighthouse platform. We take ingested data from our Integrations teams, turn it into usable data products, and provide that clean output to both the Product Engineering and Data Science & Analytics teams. We rely on the Data Platform team for infrastructure support and tooling.
What's in it for you?
- Flexible time off: Autonomy to manage your work-life balance.
- Alan Flex benefits: 160€/month for food or nursery.
- Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery.
- Wellbeing support: Subsidized ClassPass subscription.
- Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
- Impactful work: Shape products relied on by 85,000+ users worldwide.
- Referral bonuses: Earn rewards for bringing in new talent.
Who you are
- Experience in a data engineering role, with a proven track record of building scalable data pipelines.
- A product engineering mindset, with a focus on understanding business context and stakeholder needs.
- Professional proficiency in Python for data processing and pipeline development.
- Strong knowledge of cloud database solutions such as BigQuery, Snowflake, or Databricks.
- You are a forward-thinking builder who views AI as a core component of modern architecture. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster.
- Excellent communication and stakeholder management skills.
We welcome
- Experience with microservice architectures and data streaming systems like Kafka or Google Cloud Pub/Sub.
- Familiarity with data governance or data quality tools such as Atlan or Soda.
- Experience mentoring other engineers.
Technologies you will work with
Mostly, but not limited to: GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan (data governance tool), Soda.
Diversity, equity, inclusion, and belonging
Thank you for considering a career with Lighthouse. We are committed to fostering a diverse and inclusive workplace that values equal opportunity for all. We welcome candidates from all backgrounds, regardless of age, gender, race, religion, sexual orientation, and disability. Our commitment to equality is part of our culture. If you require reasonable accommodation at any point during the application or interview process, please notify your recruiter.
Not ticking every box? No problem! We value diverse backgrounds and unique skill sets, and we encourage individuals from all walks of life to apply. If your experience looks a little different from what we've described, but you're passionate about what we do and are a quick learner, we'd love to hear from you!
Learn more about our careers and recruitment process | Our company and leadership team | Beware of recruitment scams
Ready to apply?
Apply to LighthouseSenior Data Engineer
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Our Mission: Why Lighthouse?
At Lighthouse, we’re on a mission to revolutionize commercial strategy as hospitality’s most powerful AI platform. We take the world's largest hotel data network and transform it into real-time intelligence that drives action. We don't just deliver insights; we empower businesses to make decisions that move revenue.
With $370M in Series C funding and over $100M in ARR, we are scaling at lightspeed. Our 850+ teammates across 35 countries aren't just building software—they are leveraging cutting-edge AI to help hoteliers be the first to act. Tens of thousands of hotels across 185 countries trust Lighthouse to execute their commercial strategy, including every one of the top 15 global chains and thousands of independent hotels that consistently outperform their markets. With Lighthouse AI, the intelligence gets deeper. Decisions get smarter. Actions get faster. We help hoteliers be first to act.
Lighthouse Values: Our guiding light
We are Lumineers. Our shared values keep us on a collaborative path fostering a cultural and customer centric environment
- Pursuit of greatness: We’re innovators who care deeply about our customers’ success. Our team brings their best work, stays curious, and delivers excellence through attention to detail
- Meaningful work matters: We make every moment count by knowing what to deliver, why it matters, and how it drives Lighthouse forward
- Elevate each other: We don’t just work together - we grow together. What unites us is understanding each other as people and working toward shared goals
We’re more than just a workplace – we’re a community. Collaborative, fun, and deeply committed, we work hard together to revolutionize the hospitality sector. Are you ready to join us and shine brighter in the industry’s most exciting rocket-ship? 🚀
Job details
● 💼 Engineering Team
● 📍 Spain
● 🕜 Full-Time/Remote
What you will do
As a Senior Data Engineer in our new Data Products team, you will play a key role in shaping the quality and business value of our core data assets. You will be hands-on in designing, building, and maintaining the data pipelines that serve teams across Lighthouse. You will act as a bridge between our data and the business, collaborating with stakeholders and ensuring our data effectively enables its consumers.
Where you will have impact
- Become the expert for key data products, understanding the full data lifecycle, quality, and business applications.
- Design, implement, and maintain the streaming and batch data pipelines that power our products and internal analytics.
- Collaborate directly with data consumers to understand their needs, gather requirements, and deliver data solutions.
- Deliver improvements in data quality, latency, and reliability.
- Show a product engineering mindset, focusing on delivering value and solving business problems through data.
- You will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You’ll not only build AI features for our customers but also champion an AI-first development culture within the engineering team.
- Mentor other engineers, sharing your expertise and contributing to their growth.
About our team
The Data Products Team is the definitive source of truth for Lighthouse's data, sitting at the foundational layer of our entire data ecosystem.
Their core mission is to model and deliver high-quality, foundational data products that are essential ingredients for all downstream product features, machine learning models, and data science initiatives across the company:
- Data Modeling & Ownership: Defining and optimizing core data entities for product and analytical use.
- Pipeline Engineering: Building robust ETL/ELT pipelines to transform raw integrated data into trusted domains.
- Data Quality: Establishing standards and monitoring the health of all foundational data assets.
We are the core of the Lighthouse platform. We take ingested data from our Integrations teams, turn it into usable data products, and provide that clean output to both the Product Engineering and Data Science & Analytics teams. We rely on the Data Platform team for infrastructure support and tooling.
What's in it for you?
- Flexible time off: Autonomy to manage your work-life balance.
- Alan Flex benefits: 160€/month for food or nursery.
- Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery.
- Wellbeing support: Subsidized ClassPass subscription.
- Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
- Impactful work: Shape products relied on by 85,000+ users worldwide.
- Referral bonuses: Earn rewards for bringing in new talent.
Who you are
- Experience in a data engineering role, with a proven track record of building scalable data pipelines.
- A product engineering mindset, with a focus on understanding business context and stakeholder needs.
- Professional proficiency in Python for data processing and pipeline development.
- Strong knowledge of cloud database solutions such as BigQuery, Snowflake, or Databricks.
- You are a forward-thinking builder who views AI as a core component of modern architecture. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster.
- Excellent communication and stakeholder management skills.
We welcome
- Experience with microservice architectures and data streaming systems like Kafka or Google Cloud Pub/Sub.
- Familiarity with data governance or data quality tools such as Atlan or Soda.
- Experience mentoring other engineers.
Technologies you will work with
Mostly, but not limited to: GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan (data governance tool), Soda.
Diversity, equity, inclusion, and belonging
Thank you for considering a career with Lighthouse. We are committed to fostering a diverse and inclusive workplace that values equal opportunity for all. We welcome candidates from all backgrounds, regardless of age, gender, race, religion, sexual orientation, and disability. Our commitment to equality is part of our culture. If you require reasonable accommodation at any point during the application or interview process, please notify your recruiter.
Not ticking every box? No problem! We value diverse backgrounds and unique skill sets, and we encourage individuals from all walks of life to apply. If your experience looks a little different from what we've described, but you're passionate about what we do and are a quick learner, we'd love to hear from you!
Learn more about our careers and recruitment process | Our company and leadership team | Beware of recruitment scams
Ready to apply?
Apply to Lighthouse
AI Risk & Technical Governance Specialist
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We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
What You’ll Do
- Technical AI governance and assurance
- Operationalise AI governance requirements across the full AI lifecycle, from ideation and use-case approval through development, validation, deployment, monitoring, change management, and retirement.
- Review AI and ML systems at a technical level, including model design, feature pipelines, training approaches, validation methods, deployment architecture, monitoring controls, and human oversight mechanisms.
- Translate technical system characteristics into clear governance, risk, and regulatory positions, including mapping to requirements under the EU AI Act, GDPR, LGPD and other relevant frameworks.
- Conduct risk assessments and assurance reviews of AI systems, including risks relating to bias, explainability, privacy, robustness, model drift, misuse, human oversight, transparency, and customer impact.
- Assess whether AI systems have the right documentation, controls, and evidence to support internal governance, regulatory scrutiny, and audit.
- Governance implementation
- Embed governance checkpoints, review criteria, and control requirements into product, engineering, and model development workflows.
- Design and maintain practical governance artefacts such as AI inventories, use-case classification approaches, risk assessment templates, control libraries, testing standards, and review rubrics.
- Define minimum evidence requirements for AI systems, including documentation of intended purpose, system design, data lineage, validation, performance metrics, limitations, human oversight, and post deployment monitoring.
- Audit, compliance, and regulatory readiness
- Perform technical governance reviews and audits of AI systems and supporting processes.
- Test the design and operating effectiveness of AI-related controls and identify remediation actions where gaps exist.
- Produce structured findings, risk opinions, and assurance reports for technical and non-technical stakeholders.
- Support audit and regulatory readiness by building defensible compliance narratives and evidence packs.
- Escalate material issues, control weaknesses, or ethical concerns and track remediation through to closure.
- Monitoring and reporting
- Help define and track meaningful AI governance, risk, and assurance metrics.
- Develop dashboards and reporting views that provide visibility of AI use cases, risk status, control coverage, review outcomes, incidents, and remediation progress.
- Oversee or challenge post-deployment monitoring for model performance, fairness, stability, drift, and adverse customer or business outcomes.
- Business partnership and capability building
- Work directly with data scientists, ML engineers, product teams, and business owners to help them build compliant and trustworthy AI systems without slowing innovation unnecessarily.
- Build organisational capability by translating regulatory and governance expectations into practical guidance, playbooks, and training.
- Keep stakeholders informed on emerging AI regulatory developments, assurance techniques, and good practice.
What We’re Looking For
- Extensive of experience across AI/ML, model risk, technical assurance, or technical AI governance, with a meaningful part of that experience in a regulated environment.
- Preferred prior background as an ML engineer, data scientist, model validator, AI architect, or similar technical role, with subsequent and/or experience in AI governance,
- AI assurance, model risk, or regulatory delivery.
- Experience conducting deep reviews of AI/ML systems beyond policy conformance, including assessment of model design, validation, monitoring, and operational controls.
- Experience translating technical AI concepts into regulatory, risk, audit, or compliance language for senior stakeholders.
- Experience implementing governance processes, controls, and assurance mechanisms in real delivery environments, not just designing high-level frameworks.
- Strong working knowledge of several of the following: EU AI Act, GDPR/LGPD and automated decision-making / profiling considerations, ISO/IEC 42001, ISO/IEC 23894,
- NIST AI RMF, OECD or other leading responsible AI frameworks, sector or market expectations relevant to gambling, customer protection, and technology risk
- Strong understanding of how AI and ML systems are built, evaluated, deployed, and monitored in production.
- Ability to interpret model and system documentation, architecture diagrams, data flows, validation results, and monitoring outputs.
- Familiarity with common ML approaches, LLM / generative AI patterns, model lifecycle tooling, and data/ML platforms.
- Familiarity with cloud-based AI environments such as AWS, Azure, or GCP.
- Stakeholder and delivery skills
- Able to work across technical, product, risk, legal, cybersecurity, and operational teams with credibility.
- Strong written skills, including the ability to produce clear review reports, risk assessments, control evaluations, and executive-ready summaries.
- Comfortable leading workshops, challenging constructively, and driving remediation.
- Able to operate with autonomy and create structure where none exists.
- Strong judgement, pragmatism, and attention to evidence.
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
Ready to apply?
Apply to Super Technologies
(Contract) Data Platform Engineer (AWS & Data Pipelines)
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Type: Contract, per-project.
Location: Remote — within LATAM with ET ±1 hour
Availability: Contractor (40 hours per week)
Job Title: Data / Platform Engineer (AWS & Data Pipelines)
We are looking for a highly motivated Data / Platform Engineer to join our team and help design, build and operate scalable data pipelines and cloud-based solutions.
In this role, you will work closely with engineering and product teams to build both streaming and batch data pipelines, contribute to system design, and help drive automation and monitoring across our data platform.
Key Responsibilities
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Design, build, maintain and primarily operate scalable streaming and batch data pipelines, with a strong focus on maintenance, monitoring, troubleshooting and continuous improvement of existing pipelines.
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Work with AWS services, including Redshift, EMR and ECS, to support data processing and analytics workloads.
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Develop and maintain data workflows using Python and SQL.
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Orchestrate and monitor pipelines using Apache Airflow.
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Build and deploy containerized applications using Docker and Kubernetes.
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Break down high-level system designs into well-defined, deliverable tasks with realistic estimates.
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Collaborate with cross-functional teams in a fast-paced and distributed environment across the US and Europe.
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Drive automation, observability and monitoring to improve reliability, performance and operational efficiency.
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Support knowledge transfer and ownership handover as part of the planned transition to the consuming team.
Required Qualifications
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Strong professional experience with Python and SQL.
-
Hands-on experience with AWS, specifically Redshift, EMR and ECS. AWS experience is mandatory (other cloud providers are not considered equivalent for this role).
-
Proven experience building and operating both streaming and batch data pipelines.
-
Professional experience with Apache Airflow, Docker and Kubernetes.
-
Ability to translate high-level system designs into actionable technical tasks and realistic estimates.
-
Comfortable working in dynamic and fast-paced environments and in distributed teams.
-
Strong interest in automation and monitoring.
-
Strong hands-on experience with Apache Spark.
-
Senior-level profile with strong autonomy, communication skills and ability to work effectively in distributed teams.
-
Proven ability to transfer knowledge and support ownership handovers.
-
Fluent or professional working proficiency in English (both written and spoken).
Nice to Have
-
Previous experience in the telecom industry.
-
Experience with machine learning systems and/or event-driven architectures.
-
Experience with Apache Iceberg.
(*) SOUTHWORKS only hires individuals from countries that are not blocked or sanctioned by the United States, including those identified on the United States Office of Foreign Asset Control (OFAC).
Ready to apply?
Apply to SOUTHWORKS
Associate Applied AI Engineer (APAC) - Orbit Program
Share this job
Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.
Location: Looking for Australian / Korean citizens / visa holders willing to stay in our Global Hubs for an initial onboarding period of 12 months before relocating into one of our local offices in the APAC market.
The Team
As an Applied AI Engineer, you are part of our Value Engineering team and are the trusted advisor for customers working on the intersection of technology and business. As a so-called Value Engineer (VE), you partner with sales and customers to create compelling and innovative technical solutions to critical business problems leveraging cutting edge (AI) capabilities within our Celonis Process Intelligence Platform. A great VE understands the customer, the technology, and the sales cycle making it what may be the most interesting, challenging, and fulfilling role in Enterprise Software
You will be joining the Global VE Center of Excellence which is an international, diverse, and dynamic organization at the core of the Celonis Value Engineering team supporting our local field teams. As a team, we enjoy working in a fast-paced environment and share a sense of belonging to a community that wants to learn and grow together. The team culture is one based on building trust, continuous development, and improvement through coaching & mentoring.
The Role
Talented individuals launch their careers in the enterprise software world by joining the Orbit Graduate Program as an Associate Value Engineer.
The 12-month program is a unique experience to fast start your career in the SaaS Industry that highlights hands-on learning, mentorship, and a team culture where we rely on each other to learn, grow and achieve. The program is designed to develop essential VE skills & competencies and establish strong lasting relationships allowing you to grow your career at Celonis.
Your journey will start with onboarding & enablement to develop your business and Celonis skills through a combination of hands-on experience in customer engagements and different pieces of training which cover amongst others the Celonis Process Intelligence, domain knowledge, presentation & demo skills, discovery & objection handling as well as value selling.
The work you’ll do:
- Work as part of the Global VE CoE to support the APAC Value Engineering team on customer engagements
- Collaborate with customers to uncover their core business challenges and determine how Celonis Process Intelligence can help them achieve their business objectives and AI Strategy
- Execute proof projects showcasing the value of Celonis Process Intelligence, frame a quantitative business value and deliver presentations to senior executives to drive investment decisions
- Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning, LLM-based solutions and orchestration technology
- Drive change management and value realisation and ensure a positive return on investment
- Build strong relationships with our customers by winning their trust through technical, product expertise, and business acumen to act as a trusted advisor
- Collaborate and share customer insights & feedback with internal Product and Engineering teams to influence and co-develop (AI) product innovations
- Create re-usable collateral, best practices & tools within the Global VE Center of Excellence and feed them back to the regional Value Engineering team
- Travel to the APAC region to meet clients in person to ensure the success of customer engagements
The qualifications you need:
We are looking for people who enjoy solving problems, think outside the box, and are not afraid to make and learn from mistakes. In particular, we seek “builders” who thrive in fast-paced environments and can rapidly develop solutions and pilots using our platform and AI technologies.
You have a bachelors and/or masters degree in (Industrial) Engineering, Computer Science, Data Science / Business Analytics, AI/ML, Mathematics or other related fields, as well as valuable work/internship experience. You’re curious, self-motivated, enjoy continuous learning, and you want to work in a lively environment characterized by high growth.
You are successful as a Value Engineer if you:
- Have a passion for technology, data and AI and the impact it can have on the world
- Have a hunger to learn new technologies and bring at least basic knowledge or hands-on experience in SQL and/or Python
- Any exposure to process mining principles and completion of Celonis "Rising Star" modules would be a welcome indicator of your eagerness to develop in this field
- Are able to think analytically and creatively, especially in applying technology solutions to core business problems
- Are focused on creating and adding value for customers
- Have an entrepreneurial mindset and the ability to multi-task, prioritize and execute
- Are able to build relationships with senior management and influence decision-makers
- Are confident to present to C-level executives and larger audiences
- Are willing to travel to the APAC region to meet clients in person
- Are an effective communicator and fluent in English (and Korean, if applying for Korean market).
What Celonis can offer you:
- Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
- Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
- Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
- Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.
- Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
- Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.
- Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.
- Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.
- Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.
About Us:
Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.
Get familiar with the Celonis Process Intelligence Platform by watching this video.
Celonis Inclusion Statement:
At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.
Your Privacy:
Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices
By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.
Please be aware of common job offer scams, impersonators and frauds. Learn more here.
Ready to apply?
Apply to Celonis
Associate Applied AI Engineer (Madrid/Spain) - Orbit Program
Share this job
Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.
Location: Looking for Japanese citizens / visa holders, fluent in Japanese, willing to stay in Madrid for 12 months before having the view to relocate to Tokyo. Customer base will be in Japan, involving travel to meet clients in person.
The Team
As an Associate AI Applied Engineer, you are part of our Value Engineering team and are the trusted advisor for customers working on the intersection of technology and business. As a so-called Value Engineer (VE), you partner with sales and customers to create compelling and innovative technical solutions to critical business problems leveraging cutting edge (AI) capabilities within our Celonis Process Intelligence Platform. A great VE understands the customer, the technology, and the sales cycle making it what may be the most interesting, challenging, and fulfilling role in Enterprise Software
You will be joining the Global VE Center of Excellence which is an international, diverse, and dynamic organization at the core of the Celonis Value Engineering team supporting our local field teams. As a team, we enjoy working in a fast-paced environment and share a sense of belonging to a community that wants to learn and grow together. The team culture is one based on building trust, continuous development, and improvement through coaching & mentoring.
The Role
Talented individuals launch their careers in the enterprise software world by joining the Orbit Graduate Program as an Associate Value Engineer.
The 12-month program is a unique experience to fast start your career in the SaaS Industry that highlights hands-on learning, mentorship, and a team culture where we rely on each other to learn, grow and achieve. The program is designed to develop essential VE skills & competencies and establish strong lasting relationships allowing you to grow your career at Celonis.
Your journey will start with onboarding & enablement to develop your business and Celonis skills through a combination of hands-on experience in customer engagements and different pieces of training which cover amongst others the Celonis Process Intelligence, domain knowledge, presentation & demo skills, discovery & objection handling as well as value selling.
The work you’ll do:
- Work as part of the Global VE CoE to support the Japan Value Engineering team on customer engagements
- Collaborate with customers to uncover their core business challenges and determine how Celonis Process Intelligence can help them achieve their business objectives and AI Strategy
- Execute proof projects showcasing the value of Celonis Process Intelligence, frame a quantitative business value and deliver presentations to senior executives to drive investment decisions
- Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning, LLM-based solutions and orchestration technology
- Drive change management and value realisation and ensure a positive return on investment
- Build strong relationships with our customers by winning their trust through technical, product expertise, and business acumen to act as a trusted advisor
- Collaborate and share customer insights & feedback with internal Product and Engineering teams to influence and co-develop (AI) product innovations
- Create re-usable collateral, best practices & tools within the Global VE Center of Excellence and feed them back to the regional Value Engineering team
- Travel to the Japan region to meet clients in person to ensure the success of customer engagements
The qualifications you need:
We are looking for people who enjoy solving problems, think outside the box, and are not afraid to make and learn from mistakes. In particular, we seek “builders” who thrive in fast-paced environments and can rapidly develop solutions and pilots using our platform and AI technologies.
You have a bachelors and/or masters degree in (Industrial) Engineering, Computer Science, Data Science / Business Analytics, AI/ML, Mathematics or other related fields, as well as valuable work/internship experience. You’re curious, self-motivated, enjoy continuous learning, and you want to work in a lively environment characterized by high growth.
You are successful as a Value Engineer if you:
- Have a passion for technology, data and AI and the impact it can have on the world
- Have a hunger to learn new technologies and bring at least basic knowledge or hands-on experience in SQL and/or Python
- Any exposure to process mining principles and completion of Celonis "Rising Star" modules would be a welcome indicator of your eagerness to develop in this field
- Are able to think analytically and creatively, especially in applying technology solutions to core business problems
- Are focused on creating and adding value for customers
- Have an entrepreneurial mindset and the ability to multi-task, prioritize and execute
- Are able to build relationships with senior management and influence decision-makers
- Are confident to present to C-level executives and larger audiences
- Are willing to travel to the Japan region to meet clients in person
- Are an effective communicator and fluent in English and Japanese
What Celonis can offer you:
- Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
- Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
- Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
- Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.
- Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
- Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.
- Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.
- Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.
- Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.
About Us:
Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.
Get familiar with the Celonis Process Intelligence Platform by watching this video.
Celonis Inclusion Statement:
At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.
Your Privacy:
Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices
By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.
Please be aware of common job offer scams, impersonators and frauds. Learn more here.
Ready to apply?
Apply to Celonis
Associate Applied AI Engineer (Japan) - Orbit Program
Share this job
Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.
Location: Looking for Japanese citizens / visa holders, fluent in Japanese, willing to stay in Madrid for 12 months before having the view to relocate to Tokyo. Customer base will be in Japan, involving travel to meet clients in person.
The Team
As an Associate AI Applied Engineer, you are part of our Value Engineering team and are the trusted advisor for customers working on the intersection of technology and business. As a so-called Value Engineer (VE), you partner with sales and customers to create compelling and innovative technical solutions to critical business problems leveraging cutting edge (AI) capabilities within our Celonis Process Intelligence Platform. A great VE understands the customer, the technology, and the sales cycle making it what may be the most interesting, challenging, and fulfilling role in Enterprise Software
You will be joining the Global VE Center of Excellence which is an international, diverse, and dynamic organization at the core of the Celonis Value Engineering team supporting our local field teams. As a team, we enjoy working in a fast-paced environment and share a sense of belonging to a community that wants to learn and grow together. The team culture is one based on building trust, continuous development, and improvement through coaching & mentoring.
The Role
Talented individuals launch their careers in the enterprise software world by joining the Orbit Graduate Program as an Associate Value Engineer.
The 12-month program is a unique experience to fast start your career in the SaaS Industry that highlights hands-on learning, mentorship, and a team culture where we rely on each other to learn, grow and achieve. The program is designed to develop essential VE skills & competencies and establish strong lasting relationships allowing you to grow your career at Celonis.
Your journey will start with onboarding & enablement to develop your business and Celonis skills through a combination of hands-on experience in customer engagements and different pieces of training which cover amongst others the Celonis Process Intelligence, domain knowledge, presentation & demo skills, discovery & objection handling as well as value selling.
The work you’ll do:
- Work as part of the Global VE CoE to support the Japan Value Engineering team on customer engagements
- Collaborate with customers to uncover their core business challenges and determine how Celonis Process Intelligence can help them achieve their business objectives and AI Strategy
- Execute proof projects showcasing the value of Celonis Process Intelligence, frame a quantitative business value and deliver presentations to senior executives to drive investment decisions
- Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning, LLM-based solutions and orchestration technology
- Drive change management and value realisation and ensure a positive return on investment
- Build strong relationships with our customers by winning their trust through technical, product expertise, and business acumen to act as a trusted advisor
- Collaborate and share customer insights & feedback with internal Product and Engineering teams to influence and co-develop (AI) product innovations
- Create re-usable collateral, best practices & tools within the Global VE Center of Excellence and feed them back to the regional Value Engineering team
- Travel to the Japan region to meet clients in person to ensure the success of customer engagements
The qualifications you need:
We are looking for people who enjoy solving problems, think outside the box, and are not afraid to make and learn from mistakes. In particular, we seek “builders” who thrive in fast-paced environments and can rapidly develop solutions and pilots using our platform and AI technologies.
You have a bachelors and/or masters degree in (Industrial) Engineering, Computer Science, Data Science / Business Analytics, AI/ML, Mathematics or other related fields, as well as valuable work/internship experience. You’re curious, self-motivated, enjoy continuous learning, and you want to work in a lively environment characterized by high growth.
You are successful as a Value Engineer if you:
- Have a passion for technology, data and AI and the impact it can have on the world
- Have a hunger to learn new technologies and bring at least basic knowledge or hands-on experience in SQL and/or Python
- Any exposure to process mining principles and completion of Celonis "Rising Star" modules would be a welcome indicator of your eagerness to develop in this field
- Are able to think analytically and creatively, especially in applying technology solutions to core business problems
- Are focused on creating and adding value for customers
- Have an entrepreneurial mindset and the ability to multi-task, prioritize and execute
- Are able to build relationships with senior management and influence decision-makers
- Are confident to present to C-level executives and larger audiences
- Are willing to travel to the Japan region to meet clients in person
- Are an effective communicator and fluent in English and Japanese
What Celonis can offer you:
- Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
- Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
- Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
- Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.
- Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
- Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.
- Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.
- Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.
- Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.
About Us:
Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.
Get familiar with the Celonis Process Intelligence Platform by watching this video.
Celonis Inclusion Statement:
At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.
Your Privacy:
Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices
By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.
Please be aware of common job offer scams, impersonators and frauds. Learn more here.
Ready to apply?
Apply to Celonis
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for a Senior Python Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:
-
Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.
-
Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.
-
Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.
-
Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.
-
Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.
-
Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.
-
Develop and enhance monitoring, validation, and observability for production-grade AI solutions.
-
Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.
-
Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.
-
Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.
Example Projects
-
Building an evaluation and observability framework for AI model performance and reliability.
-
Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.
-
Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.
-
Designing AI services that process and reason over high-volume real-world data at scale.
Requirements
Qualifications / Experience / Technical Skills
-
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
-
5+ years of experience as a Software Engineer, with strong proficiency in Python.
-
Proven track record of building and maintaining production-grade systems using Python.
-
Strong understanding of distributed systems, API design, and data-driven architectures.
-
Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).
-
Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.
-
Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).
- Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD
Preferred Skills
-
Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).
-
Background in developer platforms or AI infrastructure services.
-
Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.
-
Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.
-
Experience developing enterprise-scale SaaS or distributed backend systems.
-
Contributions to open-source projects in Python, AI, or infrastructure engineering.
Soft Skills / Personal Characteristics
-
Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.
-
Collaborative and proactive approach, comfortable working across teams in a dynamic environment.
-
Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.
-
Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.
(REQ ID: 2459)
Ready to apply?
Apply to Workato
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for a Senior Python Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:
-
Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.
-
Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.
-
Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.
-
Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.
-
Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.
-
Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.
-
Develop and enhance monitoring, validation, and observability for production-grade AI solutions.
-
Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.
-
Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.
-
Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.
Example Projects
-
Building an evaluation and observability framework for AI model performance and reliability.
-
Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.
-
Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.
-
Designing AI services that process and reason over high-volume real-world data at scale.
Requirements
Qualifications / Experience / Technical Skills
-
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
-
5+ years of experience as a Software Engineer, with strong proficiency in Python.
-
Proven track record of building and maintaining production-grade systems using Python.
-
Strong understanding of distributed systems, API design, and data-driven architectures.
-
Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).
-
Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.
-
Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).
- Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD
Preferred Skills
-
Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).
-
Background in developer platforms or AI infrastructure services.
-
Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.
-
Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.
-
Experience developing enterprise-scale SaaS or distributed backend systems.
-
Contributions to open-source projects in Python, AI, or infrastructure engineering.
Soft Skills / Personal Characteristics
-
Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.
-
Collaborative and proactive approach, comfortable working across teams in a dynamic environment.
-
Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.
-
Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.
(REQ ID: 2459)
Ready to apply?
Apply to Workato
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for an exceptional Senior Backend Developer (Ruby) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption.
In this role, you will also be responsible to:
-
Build/extend/troubleshot/fix complex heterogeneous GOlang and Ruby applications, as well as small self-contained GOlang microservices.
-
Improve execution engine of custom third-party code (Ruby DSL, isolation, performance, new features).
-
Write well designed, testable, efficient code in Ruby and GOlang.
-
Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.
-
Contribute in all phases of the development lifecycle.
-
Provide code reviews to your teammates.
-
Provide technical leadership. Work with other teams on shared projects.
-
Evaluate and propose improvements to existing systems.
-
Identify bottlenecks and bugs, and devise solutions to these problems.
-
Help maintain code quality, organization and automatization.
-
We always explore new technologies and work with Rust and Wasm can be foreseen.
Requirements
Qualifications / Experience / Technical Skills
-
Strong experience in building scalable distributed backend applications (7+ years).
-
Excellent understanding of distributed systems patterns and algorithms.
-
Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.
-
Excellent understanding of network protocols and stacks.
-
Excellent understanding of DB technologies: classic databases and modern no-SQL.
-
Knowledge of all common basic data structures and algorithms and how they are used is a must.
-
Multilingual programming experience: our code base is primarily in Ruby, with a trend to migrate to GOlang and Rust. At least two languages are required.
-
At least basic understanding of cloud deployments (k8s, Terraform, ArgoCD)
-
Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).
-
Excellent debugging, analytical, problem solving, and social skills.
-
BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.
Optional
-
Background in GOlang, Rust, WASM.
-
Background in network programming.
- Background in Kotlin/Multiplatform.
-
Background in application, data security.
-
Deep knowledge of physical DB design.
-
Experience of working with Docker and other isolation technologies.
-
Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).
-
Experience in building/deploying data processing pipelines is a plus.
-
Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).
Soft Skills / Personal Characteristics
-
Ability to technically lead projects. Work with requirements, cost analysis.
-
Readiness to work remotely with teams distributed across the world and timezones.
(REQ ID: 2343)
Ready to apply?
Apply to Workato
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for an exceptional Senior Backend Developer (Ruby) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption.
In this role, you will also be responsible to:
-
Build/extend/troubleshot/fix complex heterogeneous GOlang and Ruby applications, as well as small self-contained GOlang microservices.
-
Improve execution engine of custom third-party code (Ruby DSL, isolation, performance, new features).
-
Write well designed, testable, efficient code in Ruby and GOlang.
-
Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.
-
Contribute in all phases of the development lifecycle.
-
Provide code reviews to your teammates.
-
Provide technical leadership. Work with other teams on shared projects.
-
Evaluate and propose improvements to existing systems.
-
Identify bottlenecks and bugs, and devise solutions to these problems.
-
Help maintain code quality, organization and automatization.
-
We always explore new technologies and work with Rust and Wasm can be foreseen.
Requirements
Qualifications / Experience / Technical Skills
-
Strong experience in building scalable distributed backend applications (7+ years).
-
Excellent understanding of distributed systems patterns and algorithms.
-
Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.
-
Excellent understanding of network protocols and stacks.
-
Excellent understanding of DB technologies: classic databases and modern no-SQL.
-
Knowledge of all common basic data structures and algorithms and how they are used is a must.
-
Multilingual programming experience: our code base is primarily in Ruby, with a trend to migrate to GOlang and Rust. At least two languages are required.
-
At least basic understanding of cloud deployments (k8s, Terraform, ArgoCD)
-
Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).
-
Excellent debugging, analytical, problem solving, and social skills.
-
BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.
Optional
-
Background in GOlang, Rust, WASM.
-
Background in network programming.
- Background in Kotlin/Multiplatform.
-
Background in application, data security.
-
Deep knowledge of physical DB design.
-
Experience of working with Docker and other isolation technologies.
-
Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).
-
Experience in building/deploying data processing pipelines is a plus.
-
Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).
Soft Skills / Personal Characteristics
-
Ability to technically lead projects. Work with requirements, cost analysis.
-
Readiness to work remotely with teams distributed across the world and timezones.
(REQ ID: 2343)
Ready to apply?
Apply to Workato
Senior Software Engineer (MLAI services)
Share this job
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for a Senior Python Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:
-
Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.
-
Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.
-
Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.
-
Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.
-
Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.
-
Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.
-
Develop and enhance monitoring, validation, and observability for production-grade AI solutions.
-
Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.
-
Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.
-
Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.
Example Projects
-
Building an evaluation and observability framework for AI model performance and reliability.
-
Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.
-
Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.
-
Designing AI services that process and reason over high-volume real-world data at scale.
Requirements
Qualifications / Experience / Technical Skills
-
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
-
5+ years of experience as a Software Engineer, with strong proficiency in Python.
-
Proven track record of building and maintaining production-grade systems using Python.
-
Strong understanding of distributed systems, API design, and data-driven architectures.
-
Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).
-
Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.
-
Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).
- Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD
Preferred Skills
-
Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).
-
Background in developer platforms or AI infrastructure services.
-
Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.
-
Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.
-
Experience developing enterprise-scale SaaS or distributed backend systems.
-
Contributions to open-source projects in Python, AI, or infrastructure engineering.
Soft Skills / Personal Characteristics
-
Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.
-
Collaborative and proactive approach, comfortable working across teams in a dynamic environment.
-
Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.
-
Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.
(REQ ID: 2459)
Ready to apply?
Apply to Workato
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for an exceptional Senior Backend Developer (Ruby) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption.
In this role, you will also be responsible to:
-
Build/extend/troubleshot/fix complex heterogeneous GOlang and Ruby applications, as well as small self-contained GOlang microservices.
-
Improve execution engine of custom third-party code (Ruby DSL, isolation, performance, new features).
-
Write well designed, testable, efficient code in Ruby and GOlang.
-
Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.
-
Contribute in all phases of the development lifecycle.
-
Provide code reviews to your teammates.
-
Provide technical leadership. Work with other teams on shared projects.
-
Evaluate and propose improvements to existing systems.
-
Identify bottlenecks and bugs, and devise solutions to these problems.
-
Help maintain code quality, organization and automatization.
-
We always explore new technologies and work with Rust and Wasm can be foreseen.
Requirements
Qualifications / Experience / Technical Skills
-
Strong experience in building scalable distributed backend applications (7+ years).
-
Excellent understanding of distributed systems patterns and algorithms.
-
Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.
-
Excellent understanding of network protocols and stacks.
-
Excellent understanding of DB technologies: classic databases and modern no-SQL.
-
Knowledge of all common basic data structures and algorithms and how they are used is a must.
-
Multilingual programming experience: our code base is primarily in Ruby, with a trend to migrate to GOlang and Rust. At least two languages are required.
-
At least basic understanding of cloud deployments (k8s, Terraform, ArgoCD)
-
Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).
-
Excellent debugging, analytical, problem solving, and social skills.
-
BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.
Optional
-
Background in GOlang, Rust, WASM.
-
Background in network programming.
- Background in Kotlin/Multiplatform.
-
Background in application, data security.
-
Deep knowledge of physical DB design.
-
Experience of working with Docker and other isolation technologies.
-
Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).
-
Experience in building/deploying data processing pipelines is a plus.
-
Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).
Soft Skills / Personal Characteristics
-
Ability to technically lead projects. Work with requirements, cost analysis.
-
Readiness to work remotely with teams distributed across the world and timezones.
(REQ ID: 2343)
Ready to apply?
Apply to Workato
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for an exceptional Senior Backend Developer (Ruby) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption.
In this role, you will also be responsible to:
-
Build/extend/troubleshot/fix complex heterogeneous GOlang and Ruby applications, as well as small self-contained GOlang microservices.
-
Improve execution engine of custom third-party code (Ruby DSL, isolation, performance, new features).
-
Write well designed, testable, efficient code in Ruby and GOlang.
-
Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.
-
Contribute in all phases of the development lifecycle.
-
Provide code reviews to your teammates.
-
Provide technical leadership. Work with other teams on shared projects.
-
Evaluate and propose improvements to existing systems.
-
Identify bottlenecks and bugs, and devise solutions to these problems.
-
Help maintain code quality, organization and automatization.
-
We always explore new technologies and work with Rust and Wasm can be foreseen.
Requirements
Qualifications / Experience / Technical Skills
-
Strong experience in building scalable distributed backend applications (7+ years).
-
Excellent understanding of distributed systems patterns and algorithms.
-
Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.
-
Excellent understanding of network protocols and stacks.
-
Excellent understanding of DB technologies: classic databases and modern no-SQL.
-
Knowledge of all common basic data structures and algorithms and how they are used is a must.
-
Multilingual programming experience: our code base is primarily in Ruby, with a trend to migrate to GOlang and Rust. At least two languages are required.
-
At least basic understanding of cloud deployments (k8s, Terraform, ArgoCD)
-
Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).
-
Excellent debugging, analytical, problem solving, and social skills.
-
BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.
Optional
-
Background in GOlang, Rust, WASM.
-
Background in network programming.
- Background in Kotlin/Multiplatform.
-
Background in application, data security.
-
Deep knowledge of physical DB design.
-
Experience of working with Docker and other isolation technologies.
-
Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).
-
Experience in building/deploying data processing pipelines is a plus.
-
Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).
Soft Skills / Personal Characteristics
-
Ability to technically lead projects. Work with requirements, cost analysis.
-
Readiness to work remotely with teams distributed across the world and timezones.
(REQ ID: 2343)
Ready to apply?
Apply to Workato
Senior Software Engineer (GOlang)
Share this job
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for an exceptional Senior Backend Developer (GOlang) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption.
-
Build/extend/troubleshot/fix complex heterogeneous GOlang applications, as well as small self-contained GOlang microservices.
-
Improve execution engine of custom third-party code (isolation, performance, new features).
-
Write well designed, testable, efficient code in GOlang.
-
Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.
-
Contribute in all phases of the development lifecycle.
-
Provide code reviews to your teammates.
-
Evaluate and propose improvements to existing system.
-
Identify bottlenecks and bugs, and devise solutions to these problems.
-
Help maintain code quality, organization and automatization.
Requirements
Qualifications / Experience / Technical Skills
-
Strong experience in building scalable distributed backend applications (7+ years).
-
Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.
-
Good understanding of network protocols and stacks.
-
Good understanding of DB technologies: classic databases and modern no-SQL.
-
Knowledge of basic data structures and algorithms and how they are used is a must.
-
Excellent debugging, analytical, problem solving, and social skills.
-
BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.
Can be a plus
-
Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).
-
Experience in building/deploying data processing pipelines.
Soft Skills / Personal Characteristics
-
Readiness to work remotely with teams distributed across the world and timezones.
Job Req ID: 2314
Ready to apply?
Apply to Workato
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for an exceptional Senior Backend Developer (Ruby) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption.
In this role, you will also be responsible to:
-
Build/extend/troubleshot/fix complex heterogeneous GOlang and Ruby applications, as well as small self-contained GOlang microservices.
-
Improve execution engine of custom third-party code (Ruby DSL, isolation, performance, new features).
-
Write well designed, testable, efficient code in Ruby and GOlang.
-
Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.
-
Contribute in all phases of the development lifecycle.
-
Provide code reviews to your teammates.
-
Provide technical leadership. Work with other teams on shared projects.
-
Evaluate and propose improvements to existing systems.
-
Identify bottlenecks and bugs, and devise solutions to these problems.
-
Help maintain code quality, organization and automatization.
-
We always explore new technologies and work with Rust and Wasm can be foreseen.
Requirements
Qualifications / Experience / Technical Skills
-
Strong experience in building scalable distributed backend applications (7+ years).
-
Excellent understanding of distributed systems patterns and algorithms.
-
Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.
-
Excellent understanding of network protocols and stacks.
-
Excellent understanding of DB technologies: classic databases and modern no-SQL.
-
Knowledge of all common basic data structures and algorithms and how they are used is a must.
-
Multilingual programming experience: our code base is primarily in Ruby, with a trend to migrate to GOlang and Rust. At least two languages are required.
-
At least basic understanding of cloud deployments (k8s, Terraform, ArgoCD)
-
Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).
-
Excellent debugging, analytical, problem solving, and social skills.
-
BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.
Optional
-
Background in GOlang, Rust, WASM.
-
Background in network programming.
- Background in Kotlin/Multiplatform.
-
Background in application, data security.
-
Deep knowledge of physical DB design.
-
Experience of working with Docker and other isolation technologies.
-
Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).
-
Experience in building/deploying data processing pipelines is a plus.
-
Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).
Soft Skills / Personal Characteristics
-
Ability to technically lead projects. Work with requirements, cost analysis.
-
Readiness to work remotely with teams distributed across the world and timezones.
(REQ ID: 2343)
Ready to apply?
Apply to Workato
Senior Fullstack Software Engineer - JavaScript / TypeScript
Share this job
Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.
Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.
Overview
The Engineering Team employs some of the top engineering talent who are constantly working to improve processes, quality and techniques, with the goal of producing the highest quality software solutions in the industry. The lines between traditional QA and software engineering are blurred here, with quality being considered at all stages of development.
Our team is comprised of very talented and highly motivated individuals, who pride themselves on working smarter, not harder. We’re empowered to make local decisions, reducing the overhead of getting things done. We aim for operational excellence, having a DevOps culture and a “you build it, you run it” mentality. We favor a Lean approach to our product development, following agile workflows such as Scrum and Kanban depending on the directive of the team. We welcome new technologies and are constantly self-evaluating our tech stack to make sure we are providing software of the highest quality. Continuous Delivery is important to us, and we are constantly looking to improve our automated testing and continuous integration.
As a Senior Software Engineer for our Retailers business function, you are responsible for writing efficient, well-structured, and maintainable code, setting an example for other engineers as a subject matter expert, mentoring and guiding less experienced engineers. You work closely with our lead designers and architects to drive our product forward and to ensure the scalability, maintainability and performance of our product suite.
Responsibilities
- Provide guidance on system architecture decisions, making sure the technical direction aligns with business goals.
- Conduct thorough code reviews, ensuring best practices are followed, identifying potential issues, and mentoring junior developers in improving their coding skills.
- Provide technical guidance, share knowledge, and help junior and mid-level engineers grow in their roles by reviewing their work and offering constructive feedback.
- Work closely with other teams to ensure seamless delivery of software projects and alignment across departments.
- Be able to break down large, complex tasks into smaller, manageable components and distribute them among team members.
- Play a key role in agile processes, including sprint planning, daily stand-ups, retrospectives, and prioritization of tasks.
- Communicate effectively with stakeholders, including product managers, designers, and clients, to clarify requirements and ensure alignment with business objectives.
- Handle complex technical challenges, debugging, and resolving issues that may be beyond the scope of junior engineers.
- Integrate AI tools throughout the development lifecycle with critical evaluation for security, performance, and maintainability
- Build and maintain AI API integrations with proper error handling, caching, and observability
- Automate development workflows using AI in CI/CD pipelines
- Mentor team members on effective AI tool usage and establish team-level best practices
- Apply compliance standards to all AI implementations
- Participate in on-call rotation to support the “you build it you own it” mantra
- Understanding and utilization of software development tools including version control, building processes, debuggers, and test frameworks for:
- Primary technologies (may include):
- Typescript, Angular
- JavaScript, Node.js, React.js
- Python
- AWS services (Lambda, DynamoDB, OpenSearch, Kinesis, API Gateway, Step Functions, and others)
- IaC: Terraform, CloudFormation, Serverless
- Secondary technologies
- AWS services (OpenSearch, Lambda, DynamoDB, Kinesis, RDS, ECS, and others)
- SOAP/REST web service APIs
- Redis, NoSQL
- AWS SageMaker, Glue
- Microsoft SQL Server
- Primary technologies (may include):
Qualifications
Minimum Qualifications
- 3+ years' experience developing in Angular, Typescript, JavaScript or Node.js,
- 3+ years' experience developing in AWS Technologies
- 2+ years of experience integrating AI tools into production software development workflows
- Proven track record of building and maintaining AI API integrations in production systems
- Experience automating workflows with AI tools and measuring productivity impact
- Demonstrated ability to mentor others on AI development practices
- Knowledge of compliance standards relevant to AI implementations (data privacy, security)
- Experience developing web applications, working with databases, and consuming APIs
- Understanding of relevant software development tools including version control, build processes and test frameworks
- Ability to work independently with limited supervision
Preferred Qualifications
- Bachelor's degree or higher in Computer Science or a closely related field
- 2+ years of AI/ML experience with a strong technical and strategic focus, with expertise in machine learning algorithms, NLP, computer vision, or large-scale deployment.
- 2+ years expertise in machine learning algorithms, NLP, computer vision, or large-scale deployment.
- 2+ years' experience in creating data systems for feature stores or vector databases.
- Experience with cloud computing infrastructures such as AWS or Azure
- Use of source code repositories such as Azure DevOps and Git
- Experience working with SQL Server and NoSQL databases
- Experience with performance tuning and optimization techniques for high scale systems
- Experience working with development teams in multiple time zones
- Proven track record of creating secure and scalable software that scales to dozens or hundreds of servers in a distributed, fault tolerant manner
- Experience with e-commerce, retail, online marketplaces, or digital advertising
- Excellent analytical, decision-making and problem-solving skills
- Proven ability to work in a rapidly changing environment with keen attention to detail
Travel Required
Up to 10%
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
What it’s like to work at Rithum
When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.
As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.
At Rithum you will:
- Partner with the leading brands and retailers.
- Connect with passionate professionals who will help support your goals.
- Participate in an inclusive, welcoming work atmosphere.
- Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
- Receive industry-competitive compensation and total rewards benefits.
Benefits
- Medical coverage provided through Irish Life Health; premiums paid by the company
- Life & disability insurance
- Pension plan with 5% company match
- Competitive time off package with 25 Days of PTO, 11 Company-paid holidays, 2 Wellness days and 1 Paid Volunteer Day
- Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program
- €50/month Remote work stipend for internet
- Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career.
- Charitable contribution match per team member
Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.
We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.
Ready to apply?
Apply to RithumRithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.
Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.
Overview
As a Senior Data Engineer, you are a key architect in developing, delivering and maintaining intelligent data infrastructure that powers advanced analytics. You are an experienced data engineer with strong ETL pipeline and dimensional modeling skills, who is ready to leverage AI as a powerful collaborator and brings a depth of knowledge to ensure it is employed effectively for the long-term health of our business systems. You are responsible for building complex data pipelines from the ground up, delivering data into and enhancing a database infrastructure that powers advanced analytics, AI-driven decision-making, and autonomous data operations. You work across the organization, supporting and collaborating with our product teams, engineers, data scientists, and data analysts. In this context, you enhance and support our company’s cloud data architecture to support our products and data initiatives, for external clients as well as internal users.
Responsibilities
Core Data Infrastructure
- Design and implement scalable ETL/ELT workflows that support both batch and streaming data using AWS primitives (e.g., S3, Kinesis, Glue, Redshift, Athena)
- Architect and maintain cloud-native data platforms with automated ingestion, transformation, and governance pipelines using modern tools like DBT, Apache Spark, Delta Lake, Airflow, and Databricks
- Work with stakeholders, including the Product, BI, and Support teams, to assist with data-related technical challenges and support their data and infrastructure needs.
- Collaborate with cross-functional Engineering teams using analytics to predict data needs and proactively deliver solutions.
- Assist in the optimization of data lake/lakehouse infrastructure, to support AI workloads and large-scale analytics.
Governance & Collaboration
- Ensure data quality, lineage, and observability.
- Develop and enforce data governance policies, including compliance monitoring and privacy protection.
- Partner with Data Scientists to optimize data pipelines for model training, inference, and continuous learning workflows.
Advanced Data Operations
- Build self-healing data pipelines with AI-driven error detection, root cause analysis, and automated remediation capabilities.
- Implement intelligent data lineage tracking to automatically discover relationships between datasets and predict downstream impact of changes.
- Create AI-assisted data discovery systems that help stakeholders find relevant datasets and understand data semantics through natural language interfaces.
- Participate in on-call rotation, as needed.
AI-Enhanced Development
- Leverage AI coding assistants (GitHub Copilot, Cursor, etc.) to
- Accelerate development cycles, generate complex SQL queries, and automatically optimize data pipeline code.
- Develop data quality monitoring, using anomaly detection and data profiling tools to identify issues, before they impact downstream systems.
- Optimize pipeline orchestration, with ML to predict optimal scheduling, resource allocation, and failure recovery patterns.
- Generate and maintain living documentation that evolves with code changes.
Leadership & Innovation
- Participate in the full software development lifecycle, including both manual and AI-assisted requirements gathering, automated testing, and intelligent deployment strategies.
- Mentor junior engineers on both traditional data engineering practices and effective use of AI development tools.
- Lead tool evaluation and adoption for the data engineering team, establishing best practices for human-AI collaboration.
- Drive innovation in data architecture by experimenting with emerging technologies.
Qualifications
Minimum Qualifications
- 3+ years of experience in data engineering, including building and maintaining large-scale data pipelines
- Extensive experience in SQL RDBMS (SQLServer or similar) with dimensional modeling using star schema, and foundational data warehousing concepts
- Hands-on experience with AWS services such as Redshift, Athena, S3, Kinesis, Lambda, Glue
- Experience with DBT, Databricks or similar data platform tooling
- Experience working with structured and unstructured data and implementing data quality frameworks
- Excellent communication and collaboration skills
- Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, or similar), with understanding of prompt engineering, to enhance development productivity
- Understanding of AI/ML concepts and data requirements, including feature stores, model versioning, and real-time inference pipelines
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Experience in a SaaS or e-commerce environment with AI/ML products
- Knowledge of stream processing frameworks like Kafka, Flink, or Spark Structured Streaming
- Familiarity with LLMOps and AI model deployment patterns in data infrastructure
- Experience with AI-powered data tools such as automated data catalogs, intelligent monitoring systems, or AI-assisted query optimization
- Proven ability to thrive in a fast-paced, agile environment with shifting priorities and emerging technologies
- Experience with containerization and orchestration tools like Docker and Kubernetes
Travel Required
Up to 10%
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
What it’s like to work at Rithum
When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.
As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.
At Rithum you will:
- Partner with the leading brands and retailers.
- Connect with passionate professionals who will help support your goals.
- Participate in an inclusive, welcoming work atmosphere.
- Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
- Receive industry-competitive compensation and total rewards benefits.
Benefits
- Medical, Dental and Psychology benefits
- Life insurance and disability benefits
- Competitive time off package with 25 Days of PTO, 8 Company-paid Holidays, 5 paid floating holidays (new in 2026!), 2 Wellness days and 1 Paid Volunteer Day
- Voucher program for Transportation, Meals & Childcare
- Remote Working Stipend: €40/month automatically applied in payroll
- Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program
- Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career.
- Charitable contribution match per team member
Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.
We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.
Ready to apply?
Apply to RithumRithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.
Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.
Overview
As a Senior Data Engineer, you are a key architect in developing, delivering and maintaining intelligent data infrastructure that powers advanced analytics. You are an experienced data engineer with strong ETL pipeline and dimensional modeling skills, who is ready to leverage AI as a powerful collaborator and brings a depth of knowledge to ensure it is employed effectively for the long-term health of our business systems. You are responsible for building complex data pipelines from the ground up, delivering data into and enhancing a database infrastructure that powers advanced analytics, AI-driven decision-making, and autonomous data operations. You work across the organization, supporting and collaborating with our product teams, engineers, data scientists, and data analysts. In this context, you enhance and support our company’s cloud data architecture to support our products and data initiatives, for external clients as well as internal users.
Responsibilities
Core Data Infrastructure
- Design and implement scalable ETL/ELT workflows that support both batch and streaming data using AWS primitives (e.g., S3, Kinesis, Glue, Redshift, Athena)
- Architect and maintain cloud-native data platforms with automated ingestion, transformation, and governance pipelines using modern tools like DBT, Apache Spark, Delta Lake, Airflow, and Databricks
- Work with stakeholders, including the Product, BI, and Support teams, to assist with data-related technical challenges and support their data and infrastructure needs.
- Collaborate with cross-functional Engineering teams using analytics to predict data needs and proactively deliver solutions.
- Assist in the optimization of data lake/lakehouse infrastructure, to support AI workloads and large-scale analytics.
Governance & Collaboration
- Ensure data quality, lineage, and observability.
- Develop and enforce data governance policies, including compliance monitoring and privacy protection.
- Partner with Data Scientists to optimize data pipelines for model training, inference, and continuous learning workflows.
Advanced Data Operations
- Build self-healing data pipelines with AI-driven error detection, root cause analysis, and automated remediation capabilities.
- Implement intelligent data lineage tracking to automatically discover relationships between datasets and predict downstream impact of changes.
- Create AI-assisted data discovery systems that help stakeholders find relevant datasets and understand data semantics through natural language interfaces.
- Participate in on-call rotation, as needed.
AI-Enhanced Development
- Leverage AI coding assistants (GitHub Copilot, Cursor, etc.) to
- Accelerate development cycles, generate complex SQL queries, and automatically optimize data pipeline code.
- Develop data quality monitoring, using anomaly detection and data profiling tools to identify issues, before they impact downstream systems.
- Optimize pipeline orchestration, with ML to predict optimal scheduling, resource allocation, and failure recovery patterns.
- Generate and maintain living documentation that evolves with code changes.
Leadership & Innovation
- Participate in the full software development lifecycle, including both manual and AI-assisted requirements gathering, automated testing, and intelligent deployment strategies.
- Mentor junior engineers on both traditional data engineering practices and effective use of AI development tools.
- Lead tool evaluation and adoption for the data engineering team, establishing best practices for human-AI collaboration.
- Drive innovation in data architecture by experimenting with emerging technologies.
Qualifications
Minimum Qualifications
- 3+ years of experience in data engineering, including building and maintaining large-scale data pipelines
- Extensive experience in SQL RDBMS (SQLServer or similar) with dimensional modeling using star schema, and foundational data warehousing concepts
- Hands-on experience with AWS services such as Redshift, Athena, S3, Kinesis, Lambda, Glue
- Experience with DBT, Databricks or similar data platform tooling
- Experience working with structured and unstructured data and implementing data quality frameworks
- Excellent communication and collaboration skills
- Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, or similar), with understanding of prompt engineering, to enhance development productivity
- Understanding of AI/ML concepts and data requirements, including feature stores, model versioning, and real-time inference pipelines
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Experience in a SaaS or e-commerce environment with AI/ML products
- Knowledge of stream processing frameworks like Kafka, Flink, or Spark Structured Streaming
- Familiarity with LLMOps and AI model deployment patterns in data infrastructure
- Experience with AI-powered data tools such as automated data catalogs, intelligent monitoring systems, or AI-assisted query optimization
- Proven ability to thrive in a fast-paced, agile environment with shifting priorities and emerging technologies
- Experience with containerization and orchestration tools like Docker and Kubernetes
Travel Required
Up to 10%
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
What it’s like to work at Rithum
When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.
As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.
At Rithum you will:
- Partner with the leading brands and retailers.
- Connect with passionate professionals who will help support your goals.
- Participate in an inclusive, welcoming work atmosphere.
- Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
- Receive industry-competitive compensation and total rewards benefits.
Benefits
- Medical coverage provided through Irish Life Health; premiums paid by the company
- Life & disability insurance
- Pension plan with 5% company match
- Competitive time off package with 25 Days of PTO, 11 Company-paid holidays, 2 Wellness days and 1 Paid Volunteer Day
- Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program
- €50/month Remote work stipend for internet
- Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career.
- Charitable contribution match per team member
Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.
We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.
Ready to apply?
Apply to RithumSenior Fullstack Software Engineer - JavaScript / TypeScript
Share this job
Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.
Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.
Overview
The Engineering Team employs some of the top engineering talent who are constantly working to improve processes, quality and techniques, with the goal of producing the highest quality software solutions in the industry. The lines between traditional QA and software engineering are blurred here, with quality being considered at all stages of development.
Our team is comprised of very talented and highly motivated individuals, who pride themselves on working smarter, not harder. We’re empowered to make local decisions, reducing the overhead of getting things done. We aim for operational excellence, having a DevOps culture and a “you build it, you run it” mentality. We favor a Lean approach to our product development, following agile workflows such as Scrum and Kanban depending on the directive of the team. We welcome new technologies and are constantly self-evaluating our tech stack to make sure we are providing software of the highest quality. Continuous Delivery is important to us, and we are constantly looking to improve our automated testing and continuous integration.
As a Senior Software Engineer for our Retailers business function, you are responsible for writing efficient, well-structured, and maintainable code, setting an example for other engineers as a subject matter expert, mentoring and guiding less experienced engineers. You work closely with our lead designers and architects to drive our product forward and to ensure the scalability, maintainability and performance of our product suite.
Responsibilities
- Provide guidance on system architecture decisions, making sure the technical direction aligns with business goals.
- Conduct thorough code reviews, ensuring best practices are followed, identifying potential issues, and mentoring junior developers in improving their coding skills.
- Provide technical guidance, share knowledge, and help junior and mid-level engineers grow in their roles by reviewing their work and offering constructive feedback.
- Work closely with other teams to ensure seamless delivery of software projects and alignment across departments.
- Be able to break down large, complex tasks into smaller, manageable components and distribute them among team members.
- Play a key role in agile processes, including sprint planning, daily stand-ups, retrospectives, and prioritization of tasks.
- Communicate effectively with stakeholders, including product managers, designers, and clients, to clarify requirements and ensure alignment with business objectives.
- Handle complex technical challenges, debugging, and resolving issues that may be beyond the scope of junior engineers.
- Integrate AI tools throughout the development lifecycle with critical evaluation for security, performance, and maintainability
- Build and maintain AI API integrations with proper error handling, caching, and observability
- Automate development workflows using AI in CI/CD pipelines
- Mentor team members on effective AI tool usage and establish team-level best practices
- Apply compliance standards to all AI implementations
- Participate in on-call rotation to support the “you build it you own it” mantra
- Understanding and utilization of software development tools including version control, building processes, debuggers, and test frameworks for:
- Primary technologies (may include):
- Typescript, Angular
- JavaScript, Node.js, React.js
- Python
- AWS services (Lambda, DynamoDB, OpenSearch, Kinesis, API Gateway, Step Functions, and others)
- IaC: Terraform, CloudFormation, Serverless
- Secondary technologies
- AWS services (OpenSearch, Lambda, DynamoDB, Kinesis, RDS, ECS, and others)
- SOAP/REST web service APIs
- Redis, NoSQL
- AWS SageMaker, Glue
- Microsoft SQL Server
- Primary technologies (may include):
Qualifications
Minimum Qualifications
- 3+ years' experience developing in Angular, Typescript, JavaScript or Node.js,
- 3+ years' experience developing in AWS Technologies
- 2+ years of experience integrating AI tools into production software development workflows
- Proven track record of building and maintaining AI API integrations in production systems
- Experience automating workflows with AI tools and measuring productivity impact
- Demonstrated ability to mentor others on AI development practices
- Knowledge of compliance standards relevant to AI implementations (data privacy, security)
- Experience developing web applications, working with databases, and consuming APIs
- Understanding of relevant software development tools including version control, build processes and test frameworks
- Ability to work independently with limited supervision
Preferred Qualifications
- Bachelor's degree or higher in Computer Science or a closely related field
- 2+ years of AI/ML experience with a strong technical and strategic focus, with expertise in machine learning algorithms, NLP, computer vision, or large-scale deployment.
- 2+ years expertise in machine learning algorithms, NLP, computer vision, or large-scale deployment.
- 2+ years' experience in creating data systems for feature stores or vector databases.
- Experience with cloud computing infrastructures such as AWS or Azure
- Use of source code repositories such as Azure DevOps and Git
- Experience working with SQL Server and NoSQL databases
- Experience with performance tuning and optimization techniques for high scale systems
- Experience working with development teams in multiple time zones
- Proven track record of creating secure and scalable software that scales to dozens or hundreds of servers in a distributed, fault tolerant manner
- Experience with e-commerce, retail, online marketplaces, or digital advertising
- Excellent analytical, decision-making and problem-solving skills
- Proven ability to work in a rapidly changing environment with keen attention to detail
Travel Required
Up to 10%
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
What it’s like to work at Rithum
When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.
As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.
At Rithum you will:
- Partner with the leading brands and retailers.
- Connect with passionate professionals who will help support your goals.
- Participate in an inclusive, welcoming work atmosphere.
- Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
- Receive industry-competitive compensation and total rewards benefits.
Benefits
- Medical, Dental and Psychology benefits
- Life insurance and disability benefits
- Competitive time off package with 25 Days of PTO, 8 Company-paid Holidays, 5 paid floating holidays (new in 2026!), 2 Wellness days and 1 Paid Volunteer Day
- Voucher program for Transportation, Meals & Childcare
- Remote Working Stipend: €40/month automatically applied in payroll
- Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program
- Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career.
- Charitable contribution match per team member
Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.
We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.
Ready to apply?
Apply to RithumSenior Fullstack Software Engineer - JavaScript / TypeScript
Share this job
Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.
Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.
Overview
The Engineering Team employs some of the top engineering talent who are constantly working to improve processes, quality and techniques, with the goal of producing the highest quality software solutions in the industry. The lines between traditional QA and software engineering are blurred here, with quality being considered at all stages of development.
Our team is comprised of very talented and highly motivated individuals, who pride themselves on working smarter, not harder. We’re empowered to make local decisions, reducing the overhead of getting things done. We aim for operational excellence, having a DevOps culture and a “you build it, you run it” mentality. We favor a Lean approach to our product development, following agile workflows such as Scrum and Kanban depending on the directive of the team. We welcome new technologies and are constantly self-evaluating our tech stack to make sure we are providing software of the highest quality. Continuous Delivery is important to us, and we are constantly looking to improve our automated testing and continuous integration.
As a Senior Software Engineer for our Retailers business function, you are responsible for writing efficient, well-structured, and maintainable code, setting an example for other engineers as a subject matter expert, mentoring and guiding less experienced engineers. You work closely with our lead designers and architects to drive our product forward and to ensure the scalability, maintainability and performance of our product suite.
Responsibilities
- Provide guidance on system architecture decisions, making sure the technical direction aligns with business goals.
- Conduct thorough code reviews, ensuring best practices are followed, identifying potential issues, and mentoring junior developers in improving their coding skills.
- Provide technical guidance, share knowledge, and help junior and mid-level engineers grow in their roles by reviewing their work and offering constructive feedback.
- Work closely with other teams to ensure seamless delivery of software projects and alignment across departments.
- Be able to break down large, complex tasks into smaller, manageable components and distribute them among team members.
- Play a key role in agile processes, including sprint planning, daily stand-ups, retrospectives, and prioritization of tasks.
- Communicate effectively with stakeholders, including product managers, designers, and clients, to clarify requirements and ensure alignment with business objectives.
- Handle complex technical challenges, debugging, and resolving issues that may be beyond the scope of junior engineers.
- Integrate AI tools throughout the development lifecycle with critical evaluation for security, performance, and maintainability
- Build and maintain AI API integrations with proper error handling, caching, and observability
- Automate development workflows using AI in CI/CD pipelines
- Mentor team members on effective AI tool usage and establish team-level best practices
- Apply compliance standards to all AI implementations
- Participate in on-call rotation to support the “you build it you own it” mantra
- Understanding and utilization of software development tools including version control, building processes, debuggers, and test frameworks for:
- Primary technologies (may include):
- Typescript, Angular
- JavaScript, Node.js, React.js
- Python
- AWS services (Lambda, DynamoDB, OpenSearch, Kinesis, API Gateway, Step Functions, and others)
- IaC: Terraform, CloudFormation, Serverless
- Secondary technologies
- AWS services (OpenSearch, Lambda, DynamoDB, Kinesis, RDS, ECS, and others)
- SOAP/REST web service APIs
- Redis, NoSQL
- AWS SageMaker, Glue
- Microsoft SQL Server
- Primary technologies (may include):
Qualifications
Minimum Qualifications
- 3+ years' experience developing in Angular, Typescript, JavaScript or Node.js,
- 3+ years' experience developing in AWS Technologies
- 2+ years of experience integrating AI tools into production software development workflows
- Proven track record of building and maintaining AI API integrations in production systems
- Experience automating workflows with AI tools and measuring productivity impact
- Demonstrated ability to mentor others on AI development practices
- Knowledge of compliance standards relevant to AI implementations (data privacy, security)
- Experience developing web applications, working with databases, and consuming APIs
- Understanding of relevant software development tools including version control, build processes and test frameworks
- Ability to work independently with limited supervision
Preferred Qualifications
- Bachelor's degree or higher in Computer Science or a closely related field
- 2+ years of AI/ML experience with a strong technical and strategic focus, with expertise in machine learning algorithms, NLP, computer vision, or large-scale deployment.
- 2+ years expertise in machine learning algorithms, NLP, computer vision, or large-scale deployment.
- 2+ years' experience in creating data systems for feature stores or vector databases.
- Experience with cloud computing infrastructures such as AWS or Azure
- Use of source code repositories such as Azure DevOps and Git
- Experience working with SQL Server and NoSQL databases
- Experience with performance tuning and optimization techniques for high scale systems
- Experience working with development teams in multiple time zones
- Proven track record of creating secure and scalable software that scales to dozens or hundreds of servers in a distributed, fault tolerant manner
- Experience with e-commerce, retail, online marketplaces, or digital advertising
- Excellent analytical, decision-making and problem-solving skills
- Proven ability to work in a rapidly changing environment with keen attention to detail
Travel Required
Up to 10%
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
What it’s like to work at Rithum
When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.
As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.
At Rithum you will:
- Partner with the leading brands and retailers.
- Connect with passionate professionals who will help support your goals.
- Participate in an inclusive, welcoming work atmosphere.
- Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
- Receive industry-competitive compensation and total rewards benefits.
Benefits
- Medical, Dental and Psychology benefits
- Life insurance and disability benefits
- Competitive time off package with 25 Days of PTO, 8 Company-paid Holidays, 5 paid floating holidays (new in 2026!), 2 Wellness days and 1 Paid Volunteer Day
- Voucher program for Transportation, Meals & Childcare
- Remote Working Stipend: €40/month automatically applied in payroll
- Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program
- Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career.
- Charitable contribution match per team member
Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.
We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.
Ready to apply?
Apply to Rithum LinkedIn BoardSenior Data Engineer
Share this job
Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.
Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.
Overview
As a Senior Data Engineer, you are a key architect in developing, delivering and maintaining intelligent data infrastructure that powers advanced analytics. You are an experienced data engineer with strong ETL pipeline and dimensional modeling skills, who is ready to leverage AI as a powerful collaborator and brings a depth of knowledge to ensure it is employed effectively for the long-term health of our business systems. You are responsible for building complex data pipelines from the ground up, delivering data into and enhancing a database infrastructure that powers advanced analytics, AI-driven decision-making, and autonomous data operations. You work across the organization, supporting and collaborating with our product teams, engineers, data scientists, and data analysts. In this context, you enhance and support our company’s cloud data architecture to support our products and data initiatives, for external clients as well as internal users.
Responsibilities
Core Data Infrastructure
- Design and implement scalable ETL/ELT workflows that support both batch and streaming data using AWS primitives (e.g., S3, Kinesis, Glue, Redshift, Athena)
- Architect and maintain cloud-native data platforms with automated ingestion, transformation, and governance pipelines using modern tools like DBT, Apache Spark, Delta Lake, Airflow, and Databricks
- Work with stakeholders, including the Product, BI, and Support teams, to assist with data-related technical challenges and support their data and infrastructure needs.
- Collaborate with cross-functional Engineering teams using analytics to predict data needs and proactively deliver solutions.
- Assist in the optimization of data lake/lakehouse infrastructure, to support AI workloads and large-scale analytics.
Governance & Collaboration
- Ensure data quality, lineage, and observability.
- Develop and enforce data governance policies, including compliance monitoring and privacy protection.
- Partner with Data Scientists to optimize data pipelines for model training, inference, and continuous learning workflows.
Advanced Data Operations
- Build self-healing data pipelines with AI-driven error detection, root cause analysis, and automated remediation capabilities.
- Implement intelligent data lineage tracking to automatically discover relationships between datasets and predict downstream impact of changes.
- Create AI-assisted data discovery systems that help stakeholders find relevant datasets and understand data semantics through natural language interfaces.
- Participate in on-call rotation, as needed.
AI-Enhanced Development
- Leverage AI coding assistants (GitHub Copilot, Cursor, etc.) to
- Accelerate development cycles, generate complex SQL queries, and automatically optimize data pipeline code.
- Develop data quality monitoring, using anomaly detection and data profiling tools to identify issues, before they impact downstream systems.
- Optimize pipeline orchestration, with ML to predict optimal scheduling, resource allocation, and failure recovery patterns.
- Generate and maintain living documentation that evolves with code changes.
Leadership & Innovation
- Participate in the full software development lifecycle, including both manual and AI-assisted requirements gathering, automated testing, and intelligent deployment strategies.
- Mentor junior engineers on both traditional data engineering practices and effective use of AI development tools.
- Lead tool evaluation and adoption for the data engineering team, establishing best practices for human-AI collaboration.
- Drive innovation in data architecture by experimenting with emerging technologies.
Qualifications
Minimum Qualifications
- 3+ years of experience in data engineering, including building and maintaining large-scale data pipelines
- Extensive experience in SQL RDBMS (SQLServer or similar) with dimensional modeling using star schema, and foundational data warehousing concepts
- Hands-on experience with AWS services such as Redshift, Athena, S3, Kinesis, Lambda, Glue
- Experience with DBT, Databricks or similar data platform tooling
- Experience working with structured and unstructured data and implementing data quality frameworks
- Excellent communication and collaboration skills
- Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, or similar), with understanding of prompt engineering, to enhance development productivity
- Understanding of AI/ML concepts and data requirements, including feature stores, model versioning, and real-time inference pipelines
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Experience in a SaaS or e-commerce environment with AI/ML products
- Knowledge of stream processing frameworks like Kafka, Flink, or Spark Structured Streaming
- Familiarity with LLMOps and AI model deployment patterns in data infrastructure
- Experience with AI-powered data tools such as automated data catalogs, intelligent monitoring systems, or AI-assisted query optimization
- Proven ability to thrive in a fast-paced, agile environment with shifting priorities and emerging technologies
- Experience with containerization and orchestration tools like Docker and Kubernetes
Travel Required
Up to 10%
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
What it’s like to work at Rithum
When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.
As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.
At Rithum you will:
- Partner with the leading brands and retailers.
- Connect with passionate professionals who will help support your goals.
- Participate in an inclusive, welcoming work atmosphere.
- Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
- Receive industry-competitive compensation and total rewards benefits.
Benefits
- Medical coverage provided through Irish Life Health; premiums paid by the company
- Life & disability insurance
- Pension plan with 5% company match
- Competitive time off package with 25 Days of PTO, 11 Company-paid holidays, 2 Wellness days and 1 Paid Volunteer Day
- Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program
- €50/month Remote work stipend for internet
- Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career.
- Charitable contribution match per team member
Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.
We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.
Ready to apply?
Apply to Rithum LinkedIn BoardSenior Fullstack Software Engineer - JavaScript / TypeScript
Share this job
Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.
Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.
Overview
The Engineering Team employs some of the top engineering talent who are constantly working to improve processes, quality and techniques, with the goal of producing the highest quality software solutions in the industry. The lines between traditional QA and software engineering are blurred here, with quality being considered at all stages of development.
Our team is comprised of very talented and highly motivated individuals, who pride themselves on working smarter, not harder. We’re empowered to make local decisions, reducing the overhead of getting things done. We aim for operational excellence, having a DevOps culture and a “you build it, you run it” mentality. We favor a Lean approach to our product development, following agile workflows such as Scrum and Kanban depending on the directive of the team. We welcome new technologies and are constantly self-evaluating our tech stack to make sure we are providing software of the highest quality. Continuous Delivery is important to us, and we are constantly looking to improve our automated testing and continuous integration.
As a Senior Software Engineer for our Retailers business function, you are responsible for writing efficient, well-structured, and maintainable code, setting an example for other engineers as a subject matter expert, mentoring and guiding less experienced engineers. You work closely with our lead designers and architects to drive our product forward and to ensure the scalability, maintainability and performance of our product suite.
Responsibilities
- Provide guidance on system architecture decisions, making sure the technical direction aligns with business goals.
- Conduct thorough code reviews, ensuring best practices are followed, identifying potential issues, and mentoring junior developers in improving their coding skills.
- Provide technical guidance, share knowledge, and help junior and mid-level engineers grow in their roles by reviewing their work and offering constructive feedback.
- Work closely with other teams to ensure seamless delivery of software projects and alignment across departments.
- Be able to break down large, complex tasks into smaller, manageable components and distribute them among team members.
- Play a key role in agile processes, including sprint planning, daily stand-ups, retrospectives, and prioritization of tasks.
- Communicate effectively with stakeholders, including product managers, designers, and clients, to clarify requirements and ensure alignment with business objectives.
- Handle complex technical challenges, debugging, and resolving issues that may be beyond the scope of junior engineers.
- Integrate AI tools throughout the development lifecycle with critical evaluation for security, performance, and maintainability
- Build and maintain AI API integrations with proper error handling, caching, and observability
- Automate development workflows using AI in CI/CD pipelines
- Mentor team members on effective AI tool usage and establish team-level best practices
- Apply compliance standards to all AI implementations
- Participate in on-call rotation to support the “you build it you own it” mantra
- Understanding and utilization of software development tools including version control, building processes, debuggers, and test frameworks for:
- Primary technologies (may include):
- Typescript, Angular
- JavaScript, Node.js, React.js
- Python
- AWS services (Lambda, DynamoDB, OpenSearch, Kinesis, API Gateway, Step Functions, and others)
- IaC: Terraform, CloudFormation, Serverless
- Secondary technologies
- AWS services (OpenSearch, Lambda, DynamoDB, Kinesis, RDS, ECS, and others)
- SOAP/REST web service APIs
- Redis, NoSQL
- AWS SageMaker, Glue
- Microsoft SQL Server
- Primary technologies (may include):
Qualifications
Minimum Qualifications
- 3+ years' experience developing in Angular, Typescript, JavaScript or Node.js,
- 3+ years' experience developing in AWS Technologies
- 2+ years of experience integrating AI tools into production software development workflows
- Proven track record of building and maintaining AI API integrations in production systems
- Experience automating workflows with AI tools and measuring productivity impact
- Demonstrated ability to mentor others on AI development practices
- Knowledge of compliance standards relevant to AI implementations (data privacy, security)
- Experience developing web applications, working with databases, and consuming APIs
- Understanding of relevant software development tools including version control, build processes and test frameworks
- Ability to work independently with limited supervision
Preferred Qualifications
- Bachelor's degree or higher in Computer Science or a closely related field
- 2+ years of AI/ML experience with a strong technical and strategic focus, with expertise in machine learning algorithms, NLP, computer vision, or large-scale deployment.
- 2+ years expertise in machine learning algorithms, NLP, computer vision, or large-scale deployment.
- 2+ years' experience in creating data systems for feature stores or vector databases.
- Experience with cloud computing infrastructures such as AWS or Azure
- Use of source code repositories such as Azure DevOps and Git
- Experience working with SQL Server and NoSQL databases
- Experience with performance tuning and optimization techniques for high scale systems
- Experience working with development teams in multiple time zones
- Proven track record of creating secure and scalable software that scales to dozens or hundreds of servers in a distributed, fault tolerant manner
- Experience with e-commerce, retail, online marketplaces, or digital advertising
- Excellent analytical, decision-making and problem-solving skills
- Proven ability to work in a rapidly changing environment with keen attention to detail
Travel Required
Up to 10%
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
What it’s like to work at Rithum
When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.
As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.
At Rithum you will:
- Partner with the leading brands and retailers.
- Connect with passionate professionals who will help support your goals.
- Participate in an inclusive, welcoming work atmosphere.
- Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
- Receive industry-competitive compensation and total rewards benefits.
Benefits
- Medical coverage provided through Irish Life Health; premiums paid by the company
- Life & disability insurance
- Pension plan with 5% company match
- Competitive time off package with 25 Days of PTO, 11 Company-paid holidays, 2 Wellness days and 1 Paid Volunteer Day
- Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program
- €50/month Remote work stipend for internet
- Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career.
- Charitable contribution match per team member
Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.
We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.
Ready to apply?
Apply to Rithum LinkedIn BoardSenior Data Engineer
Share this job
Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.
Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.
Overview
As a Senior Data Engineer, you are a key architect in developing, delivering and maintaining intelligent data infrastructure that powers advanced analytics. You are an experienced data engineer with strong ETL pipeline and dimensional modeling skills, who is ready to leverage AI as a powerful collaborator and brings a depth of knowledge to ensure it is employed effectively for the long-term health of our business systems. You are responsible for building complex data pipelines from the ground up, delivering data into and enhancing a database infrastructure that powers advanced analytics, AI-driven decision-making, and autonomous data operations. You work across the organization, supporting and collaborating with our product teams, engineers, data scientists, and data analysts. In this context, you enhance and support our company’s cloud data architecture to support our products and data initiatives, for external clients as well as internal users.
Responsibilities
Core Data Infrastructure
- Design and implement scalable ETL/ELT workflows that support both batch and streaming data using AWS primitives (e.g., S3, Kinesis, Glue, Redshift, Athena)
- Architect and maintain cloud-native data platforms with automated ingestion, transformation, and governance pipelines using modern tools like DBT, Apache Spark, Delta Lake, Airflow, and Databricks
- Work with stakeholders, including the Product, BI, and Support teams, to assist with data-related technical challenges and support their data and infrastructure needs.
- Collaborate with cross-functional Engineering teams using analytics to predict data needs and proactively deliver solutions.
- Assist in the optimization of data lake/lakehouse infrastructure, to support AI workloads and large-scale analytics.
Governance & Collaboration
- Ensure data quality, lineage, and observability.
- Develop and enforce data governance policies, including compliance monitoring and privacy protection.
- Partner with Data Scientists to optimize data pipelines for model training, inference, and continuous learning workflows.
Advanced Data Operations
- Build self-healing data pipelines with AI-driven error detection, root cause analysis, and automated remediation capabilities.
- Implement intelligent data lineage tracking to automatically discover relationships between datasets and predict downstream impact of changes.
- Create AI-assisted data discovery systems that help stakeholders find relevant datasets and understand data semantics through natural language interfaces.
- Participate in on-call rotation, as needed.
AI-Enhanced Development
- Leverage AI coding assistants (GitHub Copilot, Cursor, etc.) to
- Accelerate development cycles, generate complex SQL queries, and automatically optimize data pipeline code.
- Develop data quality monitoring, using anomaly detection and data profiling tools to identify issues, before they impact downstream systems.
- Optimize pipeline orchestration, with ML to predict optimal scheduling, resource allocation, and failure recovery patterns.
- Generate and maintain living documentation that evolves with code changes.
Leadership & Innovation
- Participate in the full software development lifecycle, including both manual and AI-assisted requirements gathering, automated testing, and intelligent deployment strategies.
- Mentor junior engineers on both traditional data engineering practices and effective use of AI development tools.
- Lead tool evaluation and adoption for the data engineering team, establishing best practices for human-AI collaboration.
- Drive innovation in data architecture by experimenting with emerging technologies.
Qualifications
Minimum Qualifications
- 3+ years of experience in data engineering, including building and maintaining large-scale data pipelines
- Extensive experience in SQL RDBMS (SQLServer or similar) with dimensional modeling using star schema, and foundational data warehousing concepts
- Hands-on experience with AWS services such as Redshift, Athena, S3, Kinesis, Lambda, Glue
- Experience with DBT, Databricks or similar data platform tooling
- Experience working with structured and unstructured data and implementing data quality frameworks
- Excellent communication and collaboration skills
- Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, or similar), with understanding of prompt engineering, to enhance development productivity
- Understanding of AI/ML concepts and data requirements, including feature stores, model versioning, and real-time inference pipelines
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Experience in a SaaS or e-commerce environment with AI/ML products
- Knowledge of stream processing frameworks like Kafka, Flink, or Spark Structured Streaming
- Familiarity with LLMOps and AI model deployment patterns in data infrastructure
- Experience with AI-powered data tools such as automated data catalogs, intelligent monitoring systems, or AI-assisted query optimization
- Proven ability to thrive in a fast-paced, agile environment with shifting priorities and emerging technologies
- Experience with containerization and orchestration tools like Docker and Kubernetes
Travel Required
Up to 10%
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
What it’s like to work at Rithum
When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.
As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.
At Rithum you will:
- Partner with the leading brands and retailers.
- Connect with passionate professionals who will help support your goals.
- Participate in an inclusive, welcoming work atmosphere.
- Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
- Receive industry-competitive compensation and total rewards benefits.
Benefits
- Medical, Dental and Psychology benefits
- Life insurance and disability benefits
- Competitive time off package with 25 Days of PTO, 8 Company-paid Holidays, 5 paid floating holidays (new in 2026!), 2 Wellness days and 1 Paid Volunteer Day
- Voucher program for Transportation, Meals & Childcare
- Remote Working Stipend: €40/month automatically applied in payroll
- Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program
- Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career.
- Charitable contribution match per team member
Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.
We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.
Ready to apply?
Apply to Rithum LinkedIn Board
Principal Product Manager AI-driven, Observability
Share this job
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
What is The Role
We are looking to bring on a Principal Product Manager for AI within our Observability team, where you'll drive the vision and execution of AI-powered features across our Observability platform. You'll shape how Agentic AI, Machine Learning, LLMs, and semantic context transform the entire observability lifecycle - from data onboarding and enrichment to advanced root cause analysis, impact assessment, and automated remediation. This is a high-impact role that will help shape our product offering.
What You Will Be Doing
- Define and execute the AI strategy for Observability, leveraging Elastic's AI stack (Elastic Inference Service, Elastic’s Agent Builder, AI Assistant, RAG, Vector Search, Knowledge Bases, NLP).
- Own the roadmap for embedding AI and ML into log analytics, incident investigation, and SRE workflows.
- Partner with Engineering, UX, and cross-functional teams to deliver seamless, intuitive AI-driven experiences.
- Collaborate with our Sales and Marketing teams to drive adoption, enablement, and go-to-market for new AI features.
- Engage with customers and the field to gather feedback, validate solutions, and iterate quickly.
- Track industry trends and competitive landscape to ensure Elastic leads in AI-powered Observability.
What You Bring
- 5+ years in product management or a related field, with a focus on AI, ML, or Observability.
- Deep understanding of AI/ML technologies (LLMs, RAG, NLP, semantic search) and their application to real-world problems.
- Experience building and shipping data-intensive or AI-driven products at scale.
- Strong technical acumen and ability to translate complex AI concepts into user value.
- Excellent communication and collaboration skills; able to influence across teams and functions.
- Passion for innovation, customer empathy, and a bias for action.
Additional Information - We Take Care of Our People
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
- Competitive pay based on the work you do here and not your previous salary
- Health coverage for you and your family in many locations
- Ability to craft your calendar with flexible locations and schedules for many roles
- Generous number of vacation days each year
- Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
- Up to 40 hours each year to use toward volunteer projects you love
- Embracing parenthood with minimum of 16 weeks of parental leave
Different people approach problems differently. We need that. Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.
We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co We will reply to your request within 24 business hours of submission.
Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)
Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.
Please see here for our Privacy Statement.
Ready to apply?
Apply to Referral Board
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
What is The Role
We are looking to bring on a Principal Product Manager for AI within our Observability team, where you'll drive the vision and execution of AI-powered features across our Observability platform. You'll shape how Agentic AI, Machine Learning, LLMs, and semantic context transform the entire observability lifecycle - from data onboarding and enrichment to advanced root cause analysis, impact assessment, and automated remediation. This is a high-impact role that will help shape our product offering.
What You Will Be Doing
- Define and execute the AI strategy for Observability, leveraging Elastic's AI stack (Elastic Inference Service, Elastic’s Agent Builder, AI Assistant, RAG, Vector Search, Knowledge Bases, NLP).
- Own the roadmap for embedding AI and ML into log analytics, incident investigation, and SRE workflows.
- Partner with Engineering, UX, and cross-functional teams to deliver seamless, intuitive AI-driven experiences.
- Collaborate with our Sales and Marketing teams to drive adoption, enablement, and go-to-market for new AI features.
- Engage with customers and the field to gather feedback, validate solutions, and iterate quickly.
- Track industry trends and competitive landscape to ensure Elastic leads in AI-powered Observability.
What You Bring
- 5+ years in product management or a related field, with a focus on AI, ML, or Observability.
- Deep understanding of AI/ML technologies (LLMs, RAG, NLP, semantic search) and their application to real-world problems.
- Experience building and shipping data-intensive or AI-driven products at scale.
- Strong technical acumen and ability to translate complex AI concepts into user value.
- Excellent communication and collaboration skills; able to influence across teams and functions.
- Passion for innovation, customer empathy, and a bias for action.
Additional Information - We Take Care of Our People
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
- Competitive pay based on the work you do here and not your previous salary
- Health coverage for you and your family in many locations
- Ability to craft your calendar with flexible locations and schedules for many roles
- Generous number of vacation days each year
- Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
- Up to 40 hours each year to use toward volunteer projects you love
- Embracing parenthood with minimum of 16 weeks of parental leave
Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.
We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission.
Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)
Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.
Please see here for our Privacy Statement.
Ready to apply?
Apply to Elastic