Do you want to work for one of the biggest consulting companies in Spain, working more than 12 hours a day and not having a life? We don’t either. So come and be part of a cool worldwide company, building things that matter to a real business, learning and making an impact while also enjoying your life. Our motto is: "Life before work".

At​ ​mediasmart,​ ​we​ ​are​ ​looking​ ​for​ ​a​ Senior DevOps/SRE​ ​to​ ​join​ ​our ​team,​ ​whose​ ​main​ ​function​ ​will​ ​be​ ​to develop for the main products we offer to users: the API and the web frontend

About mediasmart

mediasmart is part of the Affle group - a global adtech company that completed its successful IPO in India in 2019 and has been growing profitably since. Affle group has been in the adtech/martech business for over 15 years and runs multiple ad platform businesses including Appnext, MAAS, mDMP, Jampp, RevX, Vizury, Youappi in addition to mediasmart.

Some of the key investors in Affle Holdings include Microsoft and D2C (JV between NTT DoCoMo & Dentsu).

At mediasmart, our mission is to allow advertisers to effectively reach audiences across their digital journeys in real time, while maximizing engagement with campaigns and their incremental value to advertisers. mediasmart was one of the first players to enter the programmatic mobile ecosystem and to date our proprietary technology stack includes a DSP, DMP & Ad-Server, as well as direct connections to more than 30 ad exchanges where we buy display, video and native ads on mobile apps, Connected TVs, DOOH and desktop.

The mediasmart business is headquartered in Spain having fast growing global teams across APAC, LATAM in addition to Europe. 

Our culture and values

• Be a generous team player. One that helps others succeed and celebrate their success.
• Love curiosity. Keep learning and stay relevant.
• It’s a team effort. Collaborate and cooperate to build a smart company.
• Go farther. Be an example for others. Set the bar.
• Love what we do. Love our work with passion and respect.
• Do good and do well. Our work matters.

We work hard and never forget to have fun in the process. Absolutely devoted to our customers and to building the best mobile advertising company out there, our passion shines through everything we do.

Summary & Duties

As a Sr. DevOps Engineer, you will be a key player in scaling and refining a high-performance programmatic advertising platform. You won’t just maintain servers; you will evolve an elastic, global infrastructure that handles massive traffic peaks with millisecond precision.

You will work in constant collaboration with our local Engineering teams and the Global DevOps unit, ensuring that our platform's stability and scalability remain world-class while we iterate on our deployment velocity.

• Automate tasks such as application configuration and deployment.
• Contribute to the technical decision-making process to define the platform strategy.
• Build and maintain monitoring and alerting platforms.
• Apply DevOps methodologies with a continuous improvement mindset.
• Engage in upcoming projects’ infrastructure to ensure scalability and fault tolerance.
• Maintain high availability during traffic spikes, disasters, and malicious attacks.
• Work closely with the software development team to ensure systems are monitored 24x7.
• Review and drive continuous improvement initiatives across the platform, optimizing infrastructure, processes, and system and product performance.
• Collaborate with different Business Units across Affle Group to improve methodologies, processes, and technical best practices.

Requirements

• Strong Linux knowledge and troubleshooting skills in production environments.
• Solid experience working with Cloud platforms, especially AWS services such as EC2, RDS, S3, IAM, etc.
• Experience with infrastructure and configuration as code tools (Terraform, Ansible, etc.).
• Hands-on experience managing and scaling CI/CD platforms (Jenkins, GitHub Actions, etc.).
• Scripting experience with Bash for automation and operational tasks.
• Experience managing high-volume and highly available services.
• Knowledge of networking concepts, monitoring systems, and database administration.
• Hands-on experience with container orchestration platforms such as Kubernetes or Nomad.
• Availability to participate in on-call rotations to support production environments and after-hours incidents.
• Proficiency in English and Spanish, both written and spoken, to collaborate effectively with global teams.

Desirable requirements

• Experience with programming languages such as JavaScript/Node.js or Python.
• Knowledge of low-latency systems and distributed architectures (AdTech RTB, Trading platforms, etc.).
• Understanding of security, privacy, and compliance best practices for Operating Systems and Cloud Services.

Skills

• Analytical, curious, goal-oriented
• Strong orientation to detail, with an ability to collect and organize data, understand the results, and communicate them effectively
• Excellent interpersonal and communication skills, both written and oral
• Ability to motivate others to work as a team to meet the business case and customer goal
• Being proactive
• Ability to take personal initiative and prioritize workload whilst being a team player within a collaborative environment

Other perks of the job

• Flexible working hours
• To be part of a small team with direct impact in the final product
• Using state of the art technologies
• Educational resources
• Creative Fridays: one day every two weeks to work on your own ideas

Highlights:

Location: Remote (CET hours preferred)

Compensation: €4,900 - €6,200 Gross + stock options

Language: Russian-speaking team

About Fundraise Up

We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.

Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.

A Truly Global Product

We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.

We’re building a large and complex product ecosystem that serves nonprofits, donors, and partners around the world. The platform includes a modern checkout experience and customizable widgets (each a standalone SPA), donor, organization, and partner portals, admin tools, and several internal apps.

Our backend is powered by Node.js (Koa, NestJS) and MongoDB. The frontend stack includes Webpack, Vue.js, and React, with nearly all code written in TypeScript. For high-throughput messaging and background processing, we use Kafka (for millions of events) and Bull (Redis). Analytics data is stored in ClickHouse, and we use Elasticsearch for search.

The Team

We are a distributed team of 160+ product professionals, including 80+ engineers. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. Many of our developers bring 5 - 10+ years of experience, and we foster a culture of deep technical curiosity and knowledge sharing.

Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. You’ll be joining a team where quality, mentorship, and mutual respect come first.

About the Role

You will join a small team responsible for the stability, performance, and security of our server infrastructure: bare metal, VMs, databases, queues, networking, and infrastructure security. Our philosophy is simple: the team owns its systems end-to-end, and every engineer should be able to diagnose and fix issues in their area of responsibility.

This role is for someone who enjoys working with real infrastructure (OS, hardware/virtualization, networks), not just cloud abstractions.

What You'll Do

• Work primarily with on‑premise infrastructure (bare metal and VMs): setup, maintenance, troubleshooting
• Drive clarity in ambiguous situations by defining requirements, assumptions, and next steps
• Own automation projects end‑to‑end (design → rollout → maintenance)
• Improve how we operate: harden and tune systems and also improve the way the team works in terms of operational hygiene
• Keep the platform stable, fast, and secure: servers, web servers, databases, queues
• Investigate production incidents across OS / networking / infrastructure layers, apply temporary mitigations, coordinate with developers and participate in post‑mortems
• Participate in on‑call rotations
• Use AI in all aspects of day‑to‑day work: researching, troubleshooting, developing

Requirements

• 4+ years as a DevOps Engineer / SRE (or very close responsibilities)
• Real, hands-on experience with servers (VMs, bare metal) at the OS level and below: configuring, troubleshooting, digging into “why it’s broken”
• Confident Linux skills (we use Ubuntu). We expect you to be comfortable with the core tools from Linux Crisis Tools
• Solid understanding of networking basics; ability to configure and troubleshoot iptables
• Ansible + Git
• Experience with Bash or Python scripting for automation/observability
• Production/on‑call experience: diagnosing incidents, restoring service, participating in post‑mortems
• Ownership and attention to detail. Downtime is expensive: five years ago, 10 minutes of downtime cost us $100k — today it’s even more

Nice to Have

We understand it’s impossible to be an expert in everything, but it’s important to have solid hands-on experience in two or more of the areas below:

• ClickHouse, MongoDB: what each database is used for, monitoring, troubleshooting performance and slow queries, sharding
• Kafka: operating clusters at scale (topic moves, broker replacements, tuning)
• Redis: high‑load tuning, replication, sharding, performance monitoring
• Elasticsearch: configuration, scaling, sharding/cluster management
• HAProxy / Nginx: load balancing, SSL/TLS, caching, reverse proxying, performance monitoring
• OS tuning: kernel/network stack/filesystem parameters for high‑load systems
• Full Disk Encryption on LVM: We use Clevis + Tang in production
• Infrastructure Security: Teleport, HashiCorp Vault

Bonus points

Great if you’ve worked with any of the following:

• VictoriaMetrics and how it differs from the Prometheus stack
• Complex CI/CD pipelines. We use scripted Jenkins pipelines
• Bare‑metal Kubernetes: provisioning, networking (MetalLB or alternatives), isolation from the internet, scaling across providers (like OVH, Hetzner) and integration with existing infrastructure
• Flux and GitOps
• Terraform

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.}

See yourself at Twilio

Join the team as Twilio’s next Senior Cloud Software Engineer.

About the job

This position is needed to help out the Edge Services team. The team that is responsible for the ingestion of Twilio’s Web Console and API traffic, and its supporting services. As part of the Edge Platform organization, we provide building blocks for all Twilio customers and engineers alike, with high-availability and low-latency requirements, in order to effectively enable over billions of inbound requests every day. We take great pride in wearing customer’s shoes and making decisions inclusively. It is extremely important for us to build services with exceptionally high uptime, availability, and success rates.

Responsibilities

In this role, you’ll:

• Lead the execution end-to-end: Design and lead the implementation of scalable, high-availability cloud infrastructure, moving beyond feature work to drive long-term platform strategy while championing Twilio’s "progress over perfection" mindset to deliver continuous, high-impact shipments.
• Operational Excellence: Own the reliability of services handling billions of weekly requests, setting the standard for operational best practices and incident response.
• Infrastructure Strategy: Drive the evolution of our Infrastructure as Code (IaC) patterns using Terraform, ensuring modularity, security, and reusability across the organization. Always aim for a self -service approach such that it keeps the team’s TOIL at minimum.
• Continuous optimization: Continuously looks for optimizations in our pipelines/releases/deliveries that balance rapid deployment with rigorous safety checks.
• Technical Mentorship and Reviews: Actively mentor L1 and L2 engineers as well as help with code reviews, design docs, and pair programming to foster a culture of technical excellence.
• Cross-Functional Influence: Collaborate with Cross teams, Product and Engineering leadership to align technical roadmap, debt reduction and new feature deliveries.
• Continuous Innovation: Be an owner and continuously research and prototype to optimise Twilio’s API infrastructure to provide best in class service to the customers

Qualifications 

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

*Required:

• 5+ years of professional experience in Cloud, DevOps, or Site Reliability Engineering (SRE), with deep proficiency in Python, Java, Go or another other language of choice.
• Architectural Depth: Proven track record of designing and deploying complex AWS cloud-native solutions (e.g., CloudFront, Multitenancies, DNS, Caching strategies, WAF, Lambda, S3, developing hosting solutions, etc) at scale.
• IaC Expert: Advanced experience with Terraform, including writing custom providers or managing state at scale across multiple environments.
• System Reliability: Deep understanding of SLIs, SLOs, Golden signals, Error Budgets and establishing monitoring strategies; in depth experience using Datadog, Grafana, or Athena to drive data-informed engineering decisions.
• Strong background in microservices architecture, specifically regarding traffic routing, rate limiting, and service discovery.
• Demonstrated ability to lead technical projects from conception to completion, navigating trade-offs and communicating complex technical concepts to non-technical stakeholders.

Desired:

• Experience implementing security-at-scale, including WAF management, DDoS mitigation, and Zero Trust architectures.
• Platform Engineering previous experience, passion for building "Internal Developer Platforms" that abstract infrastructure complexity for product teams.
• A proven track record of contributing to the cloud-native or networking ecosystem, also has contributions to public Terraform providers or similar open-source initiatives

Location

This role will be remote, and based in Spain.

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

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

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.

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. 

The role

We seek an experienced Specialist Solutions Architect to support AI-focused customers leveraging Nebius services. In this role, you will be a trusted advisor, collaborating with clients to design scalable AI solutions, resolve technical challenges and manage large-scale AI deployments involving hundreds to thousands of GPUs.

You’re welcome to work on-site in Amsterdam or remotely from any other EU country.

Your responsibilities will include:

• Designing customer-centric solutions that maximize business value and align with strategic goals.
• Building and maintaining long-term relationships to foster trust and ensure customer satisfaction.
• Delivering technical presentations, producing whitepapers, creating manuals and hosting webinars for audiences with varying technical expertise.
• Collaborating with engineering and product teams to effectively prioritize and relay customer feedback.

We expect you to have:

• 3+ years of experience with cloud technologies in MLOps engineering, Machine Learning engineering or similar roles.
• Strong understanding of ML ecosystems, including models, use cases and tooling.
• Proven experience in setting up and optimizing distributed training pipelines across multi-node and multi-GPU environments.
• Hands-on knowledge of frameworks like PyTorch or JAX.
• Excellent verbal and written communication skills.

It will be an added bonus if you have:

• Expertise in deploying inference infrastructure for production workloads.
• Ability to transition ML pipelines from POC to scalable production systems.

Preferred tooling:

• Programming Languages – Python, Go, Java, C++
• Orchestration – Kubernetes (K8s), Slurm
• DevOps Tools – Git, Docker, Helm
• Infrastructure as Code (IaC) – Terraform
• ML Frameworks and Libraries – PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn

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) 

How you'll help us achieve it

Wave is now the largest financial institution in Senegal and Côte d'Ivoire, with millions of users, growing rapidly year-on-year. And, we’re still in the early days of our product roadmap and potential impact on people’s everyday lives.

We’re looking for an experienced security engineer who’s independent, excited about getting things done, and ready to hit the ground running. You'll primarily be responsible for our application security, working with our product teams to work on new systems to enhance our security posture. Our customers trust us with their money, and you’ll be at the forefront of making sure we retain that trust!

This broadly scoped role will allow you to get your hands on many different types of security projects, from direct application security to helping our infrastructure team think about security for our databases. 

Some experience with common industry certifications like ISO-27001 and PCI-DSS would be beneficial, although you won’t be expected to run or oversee audits.

Our to-do list changes constantly, but here are some recent projects and activities:

• Centralise application-level login and permissions enforcement
• Configure and utilise external SIEM solutions to monitor our infrastructure
• Help us increase our posture around secret management
• Security review of our public-facing APIs
• Partner with teams across Wave to define secure guardrails, supporting investigations and incident response
• Work with our IT Team to fix any non-conformities found during audits by central banks and ISO certification

Our stack (prior experience is a strong plus, but not required):

• backend: Python 3 (+ mypy)
• API layer: GraphQL
• android frontend: Kotlin/Jetpack
• iOS frontend: Swift/SwiftUI
• web frontend: TypeScript/React
• database: Postgres/CockroachDB
• infrastructure: GCP/Terraform
• orchestration: Kubernetes

Key Details

• This is a fully remote role. Candidates must be based in one of our talent hub countries (UK, Spain, Kenya and Ghana) or in one of our operating markets in Africa including Senegal, Côte d'Ivoire, or Burkina Faso.
• Wave provides a yearly $1,200 stipend to support coworking meetups with teammates.
• Remote team members are expected to travel to our operational markets (e.g. Senegal or Côte d'Ivoire) at least once a year. Exceptions apply, but we’ve found this key to understanding our users and product.
• Our salaries are competitive and are calculated using a transparent formula. For this role, depending on your level and location, we offer a salary of up to $227,900 USD, plus a generous equity package.
• Major benefits:
  • Subsidized health insurance for you and your dependents and retirement contributions (both vary from country to country).
  • 6 months of fully paid parental leave and subsidized fertility assistance.
  • Flexible vacation, with most folks taking between 21-30 days exclusive of statutory holidays.
  • $10,000 annual charitable donation matching.

Requirements

• Minimum of 5 years of professional experience with a minimum of 2 years of it spent in a security-related role.
• Strong Experience with Python.
• Fluent English.

You might be a good fit if you

• Are excited about finding the right balance between security and velocity. 
• Push through hard problems without giving up.
• Have experience remediating non-conformities.
• Enjoy helping other engineers understand and implement secure patterns.
• Are not afraid to take on complicated systems.
• Are excited to work on lots of different security-related work, from audits to code refactors. 
• Work to make things easier for the next engineer who will touch your code.
• Always try to improve as a programmer and colleague.
• Are interested in security-focused source code review and penetration testing.
• Have an interest in growing and mentoring a team.

About engineering at Wave

We care about the big picture. We don’t hire engineers to just ship tickets. We hire them to solve problems. That means caring deeply about outcomes, understanding context, and jumping in wherever something’s broken, even if it’s technically “not your area.” When we see problems, inefficiencies, or opportunities to make something better, we act. We dig into operational issues, clarify fuzzy product specs, or step into unfamiliar code to help unblock teammates.

We move as fast as possible. Speed matters. It lets us try things quickly, get feedback early, and course-correct while it’s cheap. So we write small PRs. We aim for MVPs. We leave TODOs and file follow-ups. We don’t over-perfect v1. That said, we’re building a financial product. Some things—like money movement, correctness, or security—deserve more caution.

We like boring technology. We favor tools that are reliable, well-understood, and easy to debug. This keeps us focused on solving meaningful problems instead of wrestling with unpredictable infrastructure. If a new technology helps us move faster, build safer, or solve a real need, we’ll consider it. But we don’t adopt tools just because they’re new—we adopt them because they’re right.

Simplicity is a strategy. It lets us focus our energy where it matters most: serving our users.

#LI-DH1 #LI-REMOTE

Role Specificities

We’re looking for an engineer who is independent and excited about getting things done. You'll be responsible for building and improving the enterprise endpoint infrastructure and have ownership of the service and its impact on employee productivity at Wave. You will own the entire endpoint stack and be responsible for administration of all enterprise infrastructure, planning and implementation of systems as we rapidly scale our business.

In this role you’ll:

• Join an autonomous team focused on a single area of Wave’s IT org. You will report directly to the IT Director. Typically, you'll be responsible for endpoint Infrastructure end-to-end, from design through deployment and maintenance.
• You will be joining at a time of transformation, in the IT organisation evolving from a flat team structure to areas of skilled ownership.
• Along with the business growing at a pace, taking ownership of projects and business needs such as:
  • Design, build, implement, and maintain scalable and performant endpoint management infrastructure to facilitate best-in-class security of the Wave fleet comprising macOS,  ChromeOS, Windows, iOS, and Android endpoints.
  • Deliver critical endpoint management efficiencies and capabilities through bespoke software development and implementation of both industry-standard open source tooling and first-party software solutions.
  • Employ modern Infrastructure-as-Code (IaC) methodologies, develop GitOps-driven solutions to deliver consensus-based fleet management capabilities at scale.
  • Build and maintain CI/CD pipelines for fleet management infrastructure, deploying to progressively tested environments across multiple clouds (Azure, GCP) and geographies (Africa and global remote workforce).
  • Drive initiatives to adopt emerging technologies, industry best practices, and optimise processes for scalability and operational efficiency.
  • Partner with cross-functional teams to ensure seamless endpoint user experiences while maintaining strict security standards and continually increasing the bar.

Key Details

• This is a fully remote role. Candidates must be based in one of our talent hub countries (UK, Spain, USA, Canada, Kenya and Ghana) or in one of our operating markets in Africa including Senegal, Côte d'Ivoire, or Burkina Faso. Your working hours must align with GMT +/- 1, with reliable Internet access as long as you have work authorization.
• Every year, you’ll travel to Africa for a one-week immersion trip. (Wave covers all costs.)
• Our salaries are competitive and are calculated using a transparent formula. For this role, depending on your experience level and location, we are offering a salary range of $133,100 to $194,200 USD (paid in your local currency equivalent) plus a generous equity package.
• Major benefits:
  • Subsidized health insurance for you and your dependents and retirement contributions (both vary from country to country)
  • 6 months fully paid parental leave and subsidized fertility assistance
  • Unlimited vacation with a 20-day minimum requirement
  • $10,000 annual charitable donation matching

Requirements

• Minimum 5 years of professional experience as an Endpoint Engineer.
• Experience as a Endpoint Engineer managing multiple, international sites, including single sites of 2,000+ endpoints.
• Good communication skills with stakeholders and expectation management.
• Successful candidates must be willing to travel to our operating countries when required as part of your regular duties. For the first year, up to 50% travel may be required  to review all the current setups.

You might be a good fit if you 

• Proficient in a modern programming (Python) and scripting (Python, Bash, Powershell) languages
• Extensive hands-on experience with Jamf PRO, Google Workspace and Microsoft Intune to ensure comprehensive secure fleet management as well as experience with similar cloud identity providers.
• Demonstrated success and experience with open source endpoint management tooling for configuration management, mobile device management, application management, and telemetry such as Salt, Puppet, Munki, Nano/MicroMDM, osquery, Autopkg, ChromeBrew, WinGet, apt etc.
• History of developing and delivering secure, reliable, scalable, and technology solutions.
• Deep knowledge and experience managing corporate infrastructure at scale with Infrastructure-as-Code (IaC) practices & GitOps workflows (Terraform, Ansible, Chef, etc.)
• Experience integrating and operating fleet management infrastructure with CI/CD pipelines and DevOps workflows.
• Proven track record of deploying and operating fleet management infrastructure in public cloud environments (Azure, GCP).
• Familiarity with compliance frameworks such as SOC 2, ISO 27001 and NIST.
• Strong soft skills, including stakeholder communication and cross-functional collaboration.
• Speak French, or are interested in learning.
• Are excessively detail-oriented and seek to achieve excellence in everything you do.
• Are a self-starter and proactive about achieving ambitious targets.
• Love owning projects - you're autonomous yet know when to escalate problems.
• Willing to go the distance to get something done.
• Are comfortable defaulting to over-communication and overreaching when it comes to coordination.

This is a remote opportunity and we would be interested in applicants living in Ireland time zones only at this time. 

Senior Software Engineer - Grafana Databases, Managed Services

The Opportunity: 

The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale.

In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply.

What You’ll Be Doing:

As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves:

• Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure
• Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.)
• Designing safe upgrade and rollout strategies at scale
• Improving observability, automation, and operational ergonomics
• Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance
• Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc.
• Serving as a primary escalation point and on-call for relevant incidents
• Owning the relationship with all system vendors, including WarpStream Labs and others.
• As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

What Makes You a Great Fit:

• Regular 1:1s with your manager and close collaboration with teammates across regions
• Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design
• Improving the diagnosability of core streaming and database systems in production, where possible.
• Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure
• Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies
• Planning and executing safe upgrades and rollouts across dozens of production clusters
• Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy
• Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk
• Sharing best practices and distributed systems knowledge with partner teams
• Participating in incident response, from investigation through resolution and post-incident reviews (PIR)

Requirements:

• 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles.
• Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra.
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Solid understanding of distributed systems design and large-scale system trade-offs.
• Proficiency in at least one programming language (Go preferred, but not required).
• Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior.
• Experience participating in blameless incident response and writing high-quality post-incident reviews.
• Clear communicator who can collaborate across teams and work autonomously.
• Curious, pragmatic, action-oriented, and kind (this is important!)
  
  

Compensation & Rewards:

In Ireland, the Base compensation range for this role is EUR 104,000 - EUR 124,800. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we would be interested in applicants living in UK time zones only at this time. 

Senior Software Engineer - Grafana Databases, Managed Services

The Opportunity: 

The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale.

In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply.

What You’ll Be Doing:

As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves:

• Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure
• Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.)
• Designing safe upgrade and rollout strategies at scale
• Improving observability, automation, and operational ergonomics
• Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance
• Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc.
• Serving as a primary escalation point and on-call for relevant incidents
• Owning the relationship with all system vendors, including WarpStream Labs and others.
• As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

What Makes You a Great Fit:

• Regular 1:1s with your manager and close collaboration with teammates across regions
• Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design
• Improving the diagnosability of core streaming and database systems in production, where possible.
• Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure
• Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies
• Planning and executing safe upgrades and rollouts across dozens of production clusters
• Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy
• Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk
• Sharing best practices and distributed systems knowledge with partner teams
• Participating in incident response, from investigation through resolution and post-incident reviews (PIR)

Requirements:

• 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles.
• Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra.
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Solid understanding of distributed systems design and large-scale system trade-offs.
• Proficiency in at least one programming language (Go preferred, but not required).
• Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior.
• Experience participating in blameless incident response and writing high-quality post-incident reviews.
• Clear communicator who can collaborate across teams and work autonomously.
• Curious, pragmatic, action-oriented, and kind (this is important!)
  
  

Compensation & Rewards:

In the United Kingdom, the Base compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we would be interested in applicants living in Spain time zones only at this time. 

Senior Software Engineer - Grafana Databases, Managed Services

The Opportunity: 

The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale.

In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply.

What You’ll Be Doing:

As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves:

• Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure
• Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.)
• Designing safe upgrade and rollout strategies at scale
• Improving observability, automation, and operational ergonomics
• Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance
• Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc.
• Serving as a primary escalation point and on-call for relevant incidents
• Owning the relationship with all system vendors, including WarpStream Labs and others.
• As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

What Makes You a Great Fit:

• Regular 1:1s with your manager and close collaboration with teammates across regions
• Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design
• Improving the diagnosability of core streaming and database systems in production, where possible.
• Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure
• Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies
• Planning and executing safe upgrades and rollouts across dozens of production clusters
• Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy
• Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk
• Sharing best practices and distributed systems knowledge with partner teams
• Participating in incident response, from investigation through resolution and post-incident reviews (PIR)

Requirements:

• 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles.
• Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra.
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Solid understanding of distributed systems design and large-scale system trade-offs.
• Proficiency in at least one programming language (Go preferred, but not required).
• Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior.
• Experience participating in blameless incident response and writing high-quality post-incident reviews.
• Clear communicator who can collaborate across teams and work autonomously.
• Curious, pragmatic, action-oriented, and kind (this is important!)
  
  

Compensation & Rewards:

In Spain, the Base compensation range for this role is EUR 82,988 - EUR 99,586. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

Scopely is seeking a highly motivated Senior Analytics Engineer to join our Strategy & Business Operations team in Barcelona on a 2 day a week hybrid basis! 

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people worldwide daily.  

The Strategy and Business Operations team works closely with the Senior Leadership of Scopely to answer critical business-related questions. By acting as a strategic partner, the team translates complex data into actionable insights that drive the company's decision-making process and long-term growth.

What You’ll Do  

• Lead and collaborate with engineers, product teams, and analysts to develop self-serve insight products that are responsive, precise, and scalable at petabyte levels
• Oversee the entire data product lifecycle, including designing new tracking plans, developing data models, ELT pipelines, and self-serve insight products like Looker explores and dashboards
• Act as a guardian of data quality, ensuring consistent metric reporting across a wide range of data products
• Utilize cutting-edge technology stack including BigQuery, dbt and Looker
• Provide technical leadership and partner with our stakeholders and their teams to enhance their daily operations and product success.
• Bring expertise in a specific part of the data stack and lifecycle while contributing broadly across all aspects
• Mentor team members and drive the adoption of best practices within the team

What We’re Looking For  

• A strong passion for solving complex analytical puzzles
• Proven ability to translate business needs into advanced analytics solutions
• Deep expertise with the modern data stack (BigQuery, Snowflake, dbt, Looker, Airflow, GitHub, Terraform, command line-based workflows)
• Exceptional SQL skills coupled with at least 5 years of relevant experience in data analytics or engineering roles
• Demonstrate a solid proficiency in Python, with the ability to write clean, maintainable scripts to automate data workflows, perform exploratory data analysis and integrate various data sources within our modern tech stack.
• Solid understanding of data modeling principles (e.g., Kimball methodology, star schemas)
• A high valuation of business context and the drive to achieve technical excellence
• An inclination towards collaboration and pride in contributing to high-functioning teams
• Enjoyment in working within fast-paced, growth-oriented environments
• A sense of fun at work, with extracurricular interests like Ping Pong or Mario Kart seen as a bonus!

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!  

Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

This role will have access to sensitive and/or confidential employee or customer personally identifiable information (PII) and/or Company financial information, and therefore will be subject to background checks upon receiving a conditional offer of employment.    

Responsibilities

As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems. 

In this role, you will also be responsible to:

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.

• Collaborate with engineering teams to plan and deliver complex platform initiatives.

• Patch and optimize open-source components for performance and security.

• Manage and provision AWS infrastructure using Terraform and Kubernetes.

• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.

• Tune Linux systems and open-source software for high performance and hardened security.

• Build internal tools to streamline engineering workflows and operational automation.

• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

Requirements

Qualifications / Experience / Technical Skills / Soft Skills

• 7+ years of experience in infrastructure or systems engineering roles.

• Proven expertise in distributed systems and cloud-native architectures.

• Strong understanding of Linux internals, including networking and system-level performance tuning.

• Experience operating infrastructure on AWS at scale.

• Proficiency with Terraform and Kubernetes.

• Solid understanding of network security and cloud security best practices.

• Excellent analytical, troubleshooting, and communication skills.

Nice to Have

• Experience with Golang for tooling or internal services.

• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.

• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.

• Experience optimizing CI/CD workflows and automating deployments.

• Understanding of Vault or other secrets management systems.

• Contributions to or maintenance of open-source infrastructure projects.

Tech Stack

• AWS • Terraform • Kubernetes •  ArgoCD • Kafka • PostgreSQL • Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

(REQ ID: 2736)

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

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

Scopely is looking for a Senior Engineer to serve on and elevate our new casual game, Monopoly GO! team and work from Sevill on a hybrid basis.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.    

The Monopoly GO! team is one of our key franchises and has just become one of Scopely’s largest games.  The teams sit globally, with the bulk of their members located throughout Spain and the US.

What You Will Do

• Working closely with feature owners, the game design team and other development teams to implement new features within a feature team
• Work with game client developers to implement networked communications between game client and server
• Design and develop our game server and associated tools and libraries, with a focus on performance, scalability and consistency
• Write automated, high-quality tests (unit, integration etc.) and work with QA teams to improve gameplay experience, curtail exploits and ensure that everything works smoothly
• Implement tools to empower our liveops and game design teams in the creation of new and exciting game-play experiences 

What We're Looking For   

• 5+ years as part of a professional game development team or other relevant area
• BA or Computing Degree
• Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms)
• Mastery of Unity and  C# or another OO language, including experience with asynchronous and multi-threaded programming paradigms
• Hands-on experience with cloud computing (AWS, GCP...) and low-latency, high-scale distributed systems
• Knowledge of Unix-like operating systems
• Experience with Redis (or other database systems), ORMs and migration scripts
• Ability to write efficient low-latency, low-IO code
• Good understanding of how to prevent intrusions, injections, cheating etc.

Bonus Points 

• Familiar with highly available back-end systems and servers for games
• Web development on a modern framework such as React or Angular
• AWS, Docker, Terraform, Kibana, Chef, Ansible
• Experience with automated testing
• Experience with stateful and stateless game server architectures

At Scopely, we believe in creating a supportive work environment where everyone is treated with respect and inclusivity. We welcome individuals from all backgrounds and are committed to providing equal employment opportunities regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other protected status.   

Your mission

Join Bitpanda as a Senior DevOps Engineer and take a leading role in shaping the next generation of our high-performance, cloud-native infrastructure that powers the future of digital finance. As a senior member of the team, you will drive architectural decisions, mentor and guide junior engineers, and ensure our platforms remain secure, scalable, and resilient. You’ll work with a motivated group of highly skilled engineers, contributing your experience while continuing to grow in a cutting-edge, fast-moving environment.

What You’ll Do

• Design, develop, and evolve our AWS-based infrastructure using best-in-class tooling, including Terraform/CloudFormation and ArgoCD, leading the operation and optimisation of our container orchestration platforms, with a focus on multi-cluster networking and service-to-service communication.
• Take ownership of our cross-cluster Istio service mesh—implementing policies, improving traffic management, and enhancing mesh-level networking performance and security
• Monitor, optimise, and automate systems to ensure high availability, strong security posture, and superior performance using Datadog, Opsgenie, and AI-powered tooling
• Build scalable, robust solutions for complex technical challenges, ensuring infrastructure design aligns with best practices and long-term platform goals.
• Mentor junior and mid-level engineers, promote engineering excellence, and contribute to team knowledge sharing and process improvements.

Who You Are

• 5+ years of hands-on experience building and managing AWS infrastructure (EC2, VPC, IAM, RDS, KMS, and related services).
• Strong expertise in Docker, Kubernetes, and Infrastructure as Code (Terraform/CloudFormation).
• Advanced understanding of cloud networking, including routing, load balancing, VPC design, hybrid connectivity, and service-mesh-based networking - familiarity with multi-cluster service mesh (Istio) and related capabilities is preferred
• Proficiency in CI/CD systems, with deep experience in GitLab CI/CD and working knowledge of ArgoCD.
• Proven experience deploying, maintaining, and scaling critical cloud infrastructure components in production environments.

** We offer a comprehensive relocation package to support candidates who are moving to join our team. Our goal is to make your transition as smooth as possible, and we provide assistance throughout the whole process.

Opportunity for Impact

Taxbit is seeking a Cloud Security Engineer to be a critical partner in securing and scaling our cloud infrastructure. This role combines hands-on security engineering with close collaboration across engineering, product, and customer-facing teams—ideal for someone who thrives at the intersection of security, software, and real-world impact. You will work directly with engineering teams to design secure AWS architectures, build scalable security tooling, and embed security into the development lifecycle. You will act as a trusted advisor, helping teams navigate challenges from infrastructure hardening to application security and threat modeling. You will also build and evolve core security capabilities, including cloud-native security systems, automated detection and response, and scalable platform improvements that strengthen our overall security posture.

We welcome individuals who are humble, hungry, and excited to tackle some of the industry's biggest challenges at the intersection of cloud infrastructure and security!

This role is based in Madrid. Candidates must be legally authorized to work in Spain or another European Union country without company-sponsored visa support (e.g., holders of a valid Residency and Work Visa or Permanent Resident status). 

Role and Responsibilities

Security Engineering

• Partner closely with engineering teams to design secure, scalable AWS architectures and services.
• Work directly with customers and internal stakeholders on real-world deployment scenarios across AWS and other cloud environments, designing and implementing secure solutions tailored to their infrastructure.
• Act as a trusted security advisor throughout the software development lifecycle—from design to deployment.
• Lead threat modeling exercises for applications and infrastructure, identifying risks and driving mitigation strategies.
• Collaborate with developers to implement secure coding practices and application security controls.
• Design, build, and operate cloud-native security infrastructure across AWS environments.
• Develop automated security controls, detection mechanisms, and response capabilities.
• Build and maintain Infrastructure-as-Code (Terraform or AWS CDK) to enforce secure configurations at scale.
• Define and implement systems that generate high-quality security signals for threat detection and response.
• Own security problems end-to-end, from identifying gaps to delivering production-ready solutions.
• Contribute to DevSecOps practices by integrating security into CI/CD pipelines and developer workflows.
• Continuously improve security standards, engineering practices, and system reliability.

Security Strategy & Enablement

• Serve as the voice of security across engineering, translating risks into actionable engineering work.
• Drive improvements in cloud security posture, including identity, network, and data protection.
• Educate and mentor engineers on secure design principles, threat modeling, and cloud security best practices.
• Help shape the security roadmap by leveraging insights from real-world engineering challenges.

Professional Qualifications

• 5+ years of professional experience in software engineering or security engineering.
• Strong programming skills, with proficiency in Python.
• Hands-on experience with AWS cloud infrastructure and security.
• Experience with Infrastructure-as-Code (Terraform, AWS CDK, or similar).
• Proven experience conducting threat modeling and working on application security.
• Experience implementing DevSecOps practices and securing CI/CD pipelines.
• Strong analytical and problem-solving skills.
• Ability to work autonomously in a fast-paced, distributed environment with minimal supervision.
• Comfortable working independently across time zones, with the majority of the team based in the United States.
• Bachelor’s degree in Computer Science or equivalent.

Technical Qualifications

• Deep experience with AWS services (IAM, VPC, EC2, S3, Lambda, etc.).
• Experience building security tooling, automation, and detection systems.
• Familiarity with logging, monitoring, and security analytics platforms.
• Experience designing secure distributed systems and APIs.
• Knowledge of modern application security practices.

Personal Characteristics

• Passionate about building secure systems and solving complex problems.
• Strong sense of ownership and accountability.
• Comfortable collaborating across teams.
• Thrives in an agile, fast-paced environment.
• Enjoys mentoring others.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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.

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.

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.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Responsibilities

We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure team and help build and operate the global platform . You will work closely with engineers across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day.

As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems.

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.

• Collaborate with engineering teams to plan and deliver complex platform initiatives.

• Patch and optimize open-source components for performance and security.

• Develop low-level internal services using Linux syscalls and networking primitives.

• Manage and provision AWS infrastructure using Terraform and Kubernetes.

• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.

• Improve and maintain CI/CD pipelines for scalable and secure component delivery.

• Tune Linux systems and open-source software for high performance and hardened security.

• Build internal tools to streamline engineering workflows and operational automation.

• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

Requirements

• 7+ years of experience in infrastructure or systems engineering roles.

• Proven expertise in distributed systems and cloud-native architectures.

• Strong understanding of Linux internals, including networking and system-level performance tuning.

• Experience operating infrastructure on AWS at scale.

• Proficiency with Terraform, Kubernetes. 

• Solid understanding of network security and cloud security best practices.

• Hands-on experience optimizing CI/CD workflows and automating deployments.

• Excellent analytical, troubleshooting, and communication skills.

Nice to Have

• Experience with Golang for tooling or internal services.

• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.

• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.

• Understanding of Vault or other secrets management systems.

• Contributions to or maintenance of open-source infrastructure projects.

Tech Stack

• AWS • Terraform • Kubernetes • Docker • Linux • Golang • ArgoCD • Kafka • PostgreSQL Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

(REQ ID: )

What Is The Role:

As part of the Platform Engineering department, the Traffic team is crafting, building, and improving the multi-cloud platform at scale for Elastic Cloud Hosted and Serverless. We grow and mature our distributed network services and solutions for multiple cloud service provider platforms. We are built on Kubernetes, Go/Scala, and custom orchestration architectures. In your daily life with us, you will participate in coding, innovating technical designs, crafting solutions, improving resilience, and prioritizing security, bug fixes, and features. For example, Debugging Azure Networking for Elastic Cloud Serverless is part of our efforts, and we want your experience to contribute to a truly exceptional customer experience!

What You Will Be Doing:

• Taking an engineering approach in leading technical initiatives for automating network engineering efforts to guarantee the reliability of the global Elastic infrastructure. .
• Growing our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, codebases, tooling and automations.
• Collaborating in an environment with an inclusive approach, and focusing on operational perfection which uplifts others.
• Preventing repeated customer impact in response to major incidents and prioritised problem management. Our on call rotation is spread well, and we address complex customer concerns too.

What You Bring:

• 10+ years in Software Engineering with product success in delivering Cloud network solutions. You collaborate with engineers as an authority in identifying, implementing and delivering solutions. Experience in public cloud, Go and managed Kubernetes services is advantageous.
• Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability. We want to hear about your customer first approach in solving operational problems for both today and the future.
• Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships. Examples of working in distributed teams or working remotely is desirable.

Bonus Points:

You don't need to have all of these items, but these represent the types of work you will do as a Software Engineer at Elastic.

• You have designed and built a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform
• You have built Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.
• You have written product features or functions in Golang or other programming languages.
• You have worked with containerized services (such as Docker.)
• You have proven results in leading and improving cross-team engineering initiatives.
• You have experience in system administration with professional skills in Linux on distributed systems at scale.
• You have diagnosed or designed, implemented and created solutions with the Elastic Stack.
• You are experienced in a self-organizing and sharing in a globally distributed team environment.
• You strengthen team members in bringing out the best of each other by uplifting others with coaching and mentoring.

What Is The Role:

As part of the Platform Engineering department, the Traffic team is crafting, building, and improving the multi-cloud platform at scale for Elastic Cloud Hosted and Serverless. We grow and mature our distributed network services and solutions for multiple cloud service provider platforms. We are built on Kubernetes, Go/Scala, and custom orchestration architectures. In your daily life with us, you will participate in coding, innovating technical designs, crafting solutions, improving resilience, and prioritizing security, bug fixes, and features. For example, Debugging Azure Networking for Elastic Cloud Serverless is part of our efforts, and we want your experience to contribute to a truly exceptional customer experience!

What You Will Be Doing:

• Taking an engineering approach in leading technical initiatives for automating network engineering efforts to guarantee the reliability of the global Elastic infrastructure. .
• Growing our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, codebases, tooling and automations.
• Collaborating in an environment with an inclusive approach, and focusing on operational perfection which uplifts others.
• Preventing repeated customer impact in response to major incidents and prioritised problem management. Our on call rotation is spread well, and we address complex customer concerns too.

What You Bring:

• 10+ years in Software Engineering with product success in delivering Cloud network solutions. You collaborate with engineers as an authority in identifying, implementing and delivering solutions. Experience in public cloud, Go and managed Kubernetes services is advantageous.
• Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability. We want to hear about your customer first approach in solving operational problems for both today and the future.
• Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships. Examples of working in distributed teams or working remotely is desirable.

Bonus Points:

You don't need to have all of these items, but these represent the types of work you will do as a Software Engineer at Elastic.

• You have designed and built a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform
• You have built Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.
• You have written product features or functions in Golang or other programming languages.
• You have worked with containerized services (such as Docker.)
• You have proven results in leading and improving cross-team engineering initiatives.
• You have experience in system administration with professional skills in Linux on distributed systems at scale.
• You have diagnosed or designed, implemented and created solutions with the Elastic Stack.
• You are experienced in a self-organizing and sharing in a globally distributed team environment.
• You strengthen team members in bringing out the best of each other by uplifting others with coaching and mentoring.

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)

Responsibilities

We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:

• Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.

• Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx

• On-board Workato components & applications to Internal Platform.

• Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.

• Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.

• Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.

• Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.

• Participate in system design consulting, platform management, and architecture reviews.

• Document development processes and best practices.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

• Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.

If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!

Requirements

Qualifications / Experience / Technical Skills

• Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go

• Experience with creating internal platform tooling, e.g. CLI tools, etc

• Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.

• Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.

• Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.

• Strong understanding of networking fundamentals and web services architecture.

• Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).

• Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry). 

• Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.

• BS or MS in the CS field (or equivalent experience).

• 5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer /  DevOps / SRE / CICD).

(REQ ID: 2718)

Responsibilities

We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:

• Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.

• Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx

• On-board Workato components & applications to Internal Platform.

• Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.

• Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.

• Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.

• Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.

• Participate in system design consulting, platform management, and architecture reviews.

• Document development processes and best practices.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

• Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.

If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!

Requirements

Qualifications / Experience / Technical Skills

• Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go

• Experience with creating internal platform tooling, e.g. CLI tools, etc

• Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.

• Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.

• Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.

• Strong understanding of networking fundamentals and web services architecture.

• Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).

• Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry). 

• Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.

• BS or MS in the CS field (or equivalent experience).

• 5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer /  DevOps / SRE / CICD).

(REQ ID: 2718)

Responsibilities

We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:

• Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.

• Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx

• On-board Workato components & applications to Internal Platform.

• Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.

• Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.

• Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.

• Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.

• Participate in system design consulting, platform management, and architecture reviews.

• Document development processes and best practices.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

• Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.

If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!

Requirements

Qualifications / Experience / Technical Skills

• Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go

• Experience with creating internal platform tooling, e.g. CLI tools, etc

• Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.

• Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.

• Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.

• Strong understanding of networking fundamentals and web services architecture.

• Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).

• Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry). 

• Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.

• BS or MS in the CS field (or equivalent experience).

• 5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer /  DevOps / SRE / CICD).

(REQ ID: 2718)

Responsibilities

We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:

• Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.

• Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx

• On-board Workato components & applications to Internal Platform.

• Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.

• Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.

• Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.

• Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.

• Participate in system design consulting, platform management, and architecture reviews.

• Document development processes and best practices.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

• Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.

If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!

Requirements

Qualifications / Experience / Technical Skills

• Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go

• Experience with creating internal platform tooling, e.g. CLI tools, etc

• Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.

• Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.

• Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.

• Strong understanding of networking fundamentals and web services architecture.

• Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).

• Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry). 

• Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.

• BS or MS in the CS field (or equivalent experience).

• 5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer /  DevOps / SRE / CICD).

(REQ ID: 2718)

Responsibilities

We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:

• Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.

• Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx

• On-board Workato components & applications to Internal Platform.

• Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.

• Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.

• Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.

• Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.

• Participate in system design consulting, platform management, and architecture reviews.

• Document development processes and best practices.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

• Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.

If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!

Requirements

Qualifications / Experience / Technical Skills

• Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go

• Experience with creating internal platform tooling, e.g. CLI tools, etc

• Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.

• Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.

• Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.

• Strong understanding of networking fundamentals and web services architecture.

• Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).

• Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry). 

• Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.

• BS or MS in the CS field (or equivalent experience).

• 5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer /  DevOps / SRE / CICD).

(REQ ID: 2718)

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)

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)

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)

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)

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

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.

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

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.

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

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.

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

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.

What Is The Role:

As part of the Platform Engineering department, the Traffic team is crafting, building, and improving the multi-cloud platform at scale for Elastic Cloud Hosted and Serverless. We grow and mature our distributed network services and solutions for multiple cloud service provider platforms. We are built on Kubernetes, Go/Scala, and custom orchestration architectures. In your daily life with us, you will participate in coding, innovating technical designs, crafting solutions, improving resilience, and prioritizing security, bug fixes, and features. For example, Debugging Azure Networking for Elastic Cloud Serverless is part of our efforts, and we want your experience to contribute to a truly exceptional customer experience!

What You Will Be Doing:

• Taking an engineering approach in leading technical initiatives for automating network engineering efforts to guarantee the reliability of the global Elastic infrastructure. .
• Growing our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, codebases, tooling and automations.
• Collaborating in an environment with an inclusive approach, and focusing on operational perfection which uplifts others.
• Preventing repeated customer impact in response to major incidents and prioritised problem management. Our on call rotation is spread well, and we address complex customer concerns too.

What You Bring:

• 10+ years in Software Engineering with product success in delivering Cloud network solutions. You collaborate with engineers as an authority in identifying, implementing and delivering solutions. Experience in public cloud, Go and managed Kubernetes services is advantageous.
• Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability. We want to hear about your customer first approach in solving operational problems for both today and the future.
• Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships. Examples of working in distributed teams or working remotely is desirable.

Bonus Points:

You don't need to have all of these items, but these represent the types of work you will do as a Software Engineer at Elastic.

• You have designed and built a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform
• You have built Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.
• You have written product features or functions in Golang or other programming languages.
• You have worked with containerized services (such as Docker.)
• You have proven results in leading and improving cross-team engineering initiatives.
• You have experience in system administration with professional skills in Linux on distributed systems at scale.
• You have diagnosed or designed, implemented and created solutions with the Elastic Stack.
• You are experienced in a self-organizing and sharing in a globally distributed team environment.
• You strengthen team members in bringing out the best of each other by uplifting others with coaching and mentoring.

What Is The Role:

As part of the Platform Engineering department, the Traffic team is crafting, building, and improving the multi-cloud platform at scale for Elastic Cloud Hosted and Serverless. We grow and mature our distributed network services and solutions for multiple cloud service provider platforms. We are built on Kubernetes, Go/Scala, and custom orchestration architectures. In your daily life with us, you will participate in coding, innovating technical designs, crafting solutions, improving resilience, and prioritizing security, bug fixes, and features. For example, Debugging Azure Networking for Elastic Cloud Serverless is part of our efforts, and we want your experience to contribute to a truly exceptional customer experience!

What You Will Be Doing:

• Taking an engineering approach in leading technical initiatives for automating network engineering efforts to guarantee the reliability of the global Elastic infrastructure. .
• Growing our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, codebases, tooling and automations.
• Collaborating in an environment with an inclusive approach, and focusing on operational perfection which uplifts others.
• Preventing repeated customer impact in response to major incidents and prioritised problem management. Our on call rotation is spread well, and we address complex customer concerns too.

What You Bring:

• 10+ years in Software Engineering with product success in delivering Cloud network solutions. You collaborate with engineers as an authority in identifying, implementing and delivering solutions. Experience in public cloud, Go and managed Kubernetes services is advantageous.
• Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability. We want to hear about your customer first approach in solving operational problems for both today and the future.
• Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships. Examples of working in distributed teams or working remotely is desirable.

Bonus Points:

You don't need to have all of these items, but these represent the types of work you will do as a Software Engineer at Elastic.

• You have designed and built a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform
• You have built Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.
• You have written product features or functions in Golang or other programming languages.
• You have worked with containerized services (such as Docker.)
• You have proven results in leading and improving cross-team engineering initiatives.
• You have experience in system administration with professional skills in Linux on distributed systems at scale.
• You have diagnosed or designed, implemented and created solutions with the Elastic Stack.
• You are experienced in a self-organizing and sharing in a globally distributed team environment.
• You strengthen team members in bringing out the best of each other by uplifting others with coaching and mentoring.

About Buynomics:  

Buynomics is the next-generation SaaS company in pricing and product optimization. It employs large-scale simulation technologies to digitize customers and predict their purchase behavior - in any environment. Our clients use Buynomics to make data-driven decisions about their current and new products, overall portfolio structure, pricing, promotions, trade terms, and more, 100x faster and more precisely than every other solution.

Our mission is to enable transparent, customer-centric commercial decisions. We’re building the operating system for commercial strategy, providing companies with a single source of truth for all market-facing questions related to pricing, products, and promotions.

About the role:  

Buynomics is building a modular, service-oriented platform to power advanced commercial decision-making for enterprise customers.

As we expand from multi-tenant SaaS into enterprise single-tenant deployments, we are looking for a Lead Platform Engineer to design and build our multi-cloud Kubernetes foundation.

This role focuses on:

• Secure single-tenant deployments in customer-controlled environments (Azure-first)
• Kubernetes-based service architecture across clouds
• Scalable infrastructure for distributed compute and ML workloads
• Infrastructure automation, security, and operational excellence

You will operate as a senior technical leader, defining the deployment architecture that enables our next-generation platform to run reliably across AWS, Azure, and GCP.

Why this role:

• Greenfield architecture: You are not inheriting legacy — you are designing the deployment platform from scratch
• Enterprise impact: Your work deploys into Fortune 500 customer environments across industries
• Real autonomy: You make architectural decisions, choose tooling, and own the platform roadmap
• AI-native engineering culture: We are all-in on AI-assisted development — you will work alongside a team that ships with AI daily
• Growth path: As enterprise deployments scale, this role grows into leading a dedicated platform team

What you'll do:  

• Design and implement cloud-agnostic, single-tenant deployment architecture (Azure-first, with AWS and GCP support)
• Build and maintain reusable Infrastructure-as-Code modules (Terraform)
• Define and standardize the Kubernetes platform, including workload isolation, auto-scaling, and security policies
• Implement GitOps-based CI/CD and automated environment provisioning
• Enable scalable execution of compute-heavy workloads (e.g. async job queues, ML training pipelines)
• Design secure networking patterns (private endpoints, VNet/VPC design, DNS, IAM/RBAC, zero-trust principles)
• Establish observability standards (structured logging, metrics, distributed tracing, alerting)
• Own cost governance across customer environments: cost attribution, right-sizing, and spend optimization
• Collaborate with engineering teams to define clean service deployment contracts
• Define platform standards, architectural decision records, and operational runbooks
• Ensure platform compliance with SOC 2, ISO 27001, and GDPR through automated policy-as-code guardrails
• Champion AI-assisted infrastructure workflows — we use AI coding tools across engineering and expect platform tooling to follow suit

What you'll need:

• 6+ years of experience in platform engineering, infrastructure, or DevOps/SRE roles
• Strong production experience in Azure (AKS, Azure AD, Managed Identity, Private Networking)
• Solid experience with at least one additional cloud provider (AWS preferred; GCP a plus)
• Hands-on production experience operating Kubernetes at scale (cluster lifecycle, upgrades, multi-tenancy)
• Deep expertise in Infrastructure-as-Code (Terraform), including module design, state management, and CI integration
• Strong knowledge of cloud networking (VPC/VNet, DNS, private routing, firewall configurations)
• Experience designing CI/CD and GitOps workflows
• Experience operating distributed or high-concurrency workloads
• Understanding of compliance frameworks (SOC 2, ISO 27001, GDPR) and ability to implement compliant infrastructure patterns
• Strong system design skills and ability to operate at Staff-level technical depth
• Ability to navigate ambiguity and move initiatives forward independently

Nice-to-Haves:

• Experience deploying software into customer-controlled enterprise cloud environments (single-tenant / BYOC models)
• MLOps experience (model lifecycle, training pipelines, experiment tracking with MLflow, artifact versioning)
• Databricks integration experience (workspace provisioning, Unity Catalog, job orchestration)
• GPU workload optimization and scheduling
• Experience building Internal Developer Platforms using tools like Backstage, Crossplane, or Humanitec
• Service mesh technologies (Istio, Linkerd) and zero-trust networking patterns
• Policy-as-code tooling (OPA/Gatekeeper, Kyverno)
• FinOps practices and multi-environment cost governance

What we offer:

• Dynamic Environment: Join a truly international and diverse team where your ideas matter.
• Flexible Work Model: Enjoy a remote setup with offices located in Cologne and Barcelona.
• Learning Budget: Take advantage of our employee development and education budget to enhance your skills.
• Local Language Classes: Participate in language lessons to support your integration and personal development.
• Health insurance package 
• Personal and professional growth opportunities
• Regular company events

To ensure a smooth and efficient process and that no applications are overlooked, please apply directly to the role. While we'd love to respond to everyone who reaches out, applying ensures that your application is properly tracked and considered.

Buynomics is proud to be an equal-opportunity employer. This means that we don’t discriminate based on race or ethnic origin, color, the language(s) you speak, where you (or your parents) are from, or whether or not you consider yourself to have a disability. Neither will your age, gender, gender identity, sexual orientation, religion, beliefs, or political opinions play a part in your application with us. We’re a diverse team in so many ways, and we love it that way.

#LI-Remote

As a Senior Software Engineer, you will be part of one of our autonomous agile teams. You will help us develop the services that power the Blacklane, work on improving our back-office system, or solve problems around our products which allow business partners to integrate with the Blacklane platform.

Our environment is composed of Ruby, Go, Typescript and Java services, designed using DDD. These services are deployed to our Kubernetes cluster and communicate via domain events using SQS and Kafka. We use diverse data storage technologies such as Postgres, MySQL, Elasticsearch, Redis, and DynamoDB. As for infrastructure and cloud resources, we predominantly use AWS and manage provisioning through Terraform.

YOUR CHALLENGE: