Feedzai Research focuses on anticipating and solving Feedzai’s long-term goals. We strive to develop ethical cutting edge technology to stay one step ahead of the fraudsters of tomorrow. We work closely with Product and Data Science to build distributed systems that support high-load, operate 24/7 with low latencies, and use Machine Learning to make decisions and fight fraud more efficiently. As a research team, we focus on long-term, disruptive, state-of-the-art research, produce and protect our IP, publish peer reviewed work, contribute to open-source, and partner with external researchers and universities.

We are looking for someone that combines technical knowledge and research skills, is passionate about building cloud native applications that scale to process millions of events per second, while providing low-latency and fault-tolerance guarantees.

Come and change the world with us.

Your Day to Day:

• Design and implement real-time Machine Learning inference systems able to process millions of events per second while achieving low-latency and fault tolerance guarantees.
• Define technical standards and best practices for new cloud-native services, with particular focus on Data and ML Infrastructure.
• Drive architectural decisions for Machine Learning systems workloads, balancing performance, cost, reliability, and user experience.
• Be hands-on, executing the full software development life cycle and writing well-designed and testable code.
• Design and develop Communicate findings and results to internal and external stakeholders, including writing scientific papers and patents.
• Review and evaluate state-of-the-art research work on topics including Data Processing, Machine Learning Systems, Graphs, etc.
• Own services throughout their lifecycle following DevOps principles (“you build it, you run it”).
• Leverage GenAI-assisted development tools to prototype, implement, and iterate on platform capabilities quickly, while maintaining strong engineering and security standards.

You Have & You Know-how: 

• BSc/MSc degree in Computer Science, or a similar technical degree 
• 4+ years of experience in developing high-performance backend services
• Good understanding of distributed systems, multi-threading and OO design principles
• Strong programming skills, preferable in Java (or any JVM language) and Python
• Ability and interest to digest and implement state-of-art research.
• Ability to communicate your findings in a clear way, transforming innovation research into product requirements.
• Ability to work autonomously and take ownership of ambiguous, high-impact technical problems.
• Experience with continuous delivery, monitoring, and operational ownership of services.

Preferred/Valued Qualifications and Skills: 

• Experience with Kubernetes and cloud-native architectures (AWS preferred).
• Familiarity with Big Data technologies such as Spark, Kafka, Cassandra, EMR/Dataflow.
• Knowledge of Machine Learning basics.
• Experience building AI-powered products or platforms used by external customers.

#LI-BR1 #LI-Remote

Highlights:

Role: Senior ML-Engineer, Finance

Location: Portugal, Remote

Language: Strong English required (C1)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

We're looking for an ML Engineer with 5+ years of production experience to own a high-impact client intelligence initiative. Following a successful proof-of-concept with an external consultant, we are bringing this project fully in-house. The ultimate goal is to generate a comprehensive, enriched list of all potential clients globally — understanding their product requirements, industry verticals, and overall revenue potential — and deploy a scoring model that feeds directly into our sales pipeline.

This is an end-to-end ownership role. You will build from the ground up: data collection, enrichment, modeling, and production deployment. The project is co-managed by company executives and has a high strategic value.

What You’ll Do

• Build a market intelligence data-base via collecting different types of data (scraping, enrichment), fixing data pipeline and creating an ML model for scoring and analysis of the raw data.
• Design and operate scrapers to extract key signals from nonprofit websites, including products used, payment tools, and industry vertical indicators.
• Develop critical filters such as an "Is this website for fundraising?" binary classifier, alongside other features that distinguish high-potential prospects.
• Source and integrate financial data from international nonprofit registries, as well as third-party signals from SimilarWeb and Facebook.
• Store and structure the enriched dataset in our internal database, making it accessible and useful across the broader team for research and analysis.
• Work closely with the sales team to understand their qualification criteria. Analyze disqualified accounts in Salesforce to identify common exclusion patterns and refine scoring accordingly.
• Deploy the scoring model and own the process of integrating outputs into Salesforce in a clean, maintainable way.
• Build a scraper to monitor existing clients' websites, tracking whether Fundraise Up tools are correctly implemented across their properties.

Challenges You'll Navigate

• At the scale of ~1 million domains, expect domain duplicates, inconsistent data, and significant noise. You'll need to develop robust, cost-efficient filtering pipelines.
• A single model won't cover everything — you'll likely build several targeted sub-models tailored to specific verticals and geographies as the project matures.
• All of this needs to be accomplished without incurring high infrastructure or data costs. Pragmatic, scrappy solutions are valued here.

Requirements

• 5+ years of ML/DS experience solving real product problems
• Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting) and understanding of modern NLP/LLM approaches
• Proven experience with large-scale web scraping and data pipeline construction
• Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (conversion rate, LTV)
• Strong engineering culture: confident in Python with a product-oriented approach; we value clean code, knowledge of design patterns, and solid engineering practices
• Advanced SQL; ability to independently build complex datasets in ClickHouse and work with MongoDB
• MLOps understanding: hands-on experience with experiment tracking and production workflows (Docker, Git, CI/CD)
• Autonomy: ability to break down ambiguous problems, choose the right tech stack, and deliver to production

Our Tech Stack

Core: Python (uv, ruff), FastAPI, Pydantic, Docker

Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)

Data: ClickHouse, MongoDB, pandas, Polars, Redis

MLOps: MLflow, Airflow

Monitoring: Grafana, Sentry

Infra: linux server admin, distributed computation

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• Private medical insurance for the employee and their family
• 22 paid vacation days per year
• Up to 14 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.
• €50 monthly allowance to cover internet and mobile phone expenses

_{**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.}

Highlights:

Role: Senior ML-Engineer

Location: Portugal, Remote

Language: Russian-speaking team; Strong English required (B2)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

We're looking for an ML Engineer with 5+ years of production experience to strengthen our ML team. We operate as an internal service and centre of excellence for 10+ product teams at Fundraise Up. This means you won't be tied to a single feature: one day you might be optimising donation amounts and upsell offers, and the next you could be building a smart assistant for the admin panel or working on transaction classification.

We actively use not only classical ML, but also RL, and we're expanding our LLM-based solutions — prompt engineering and pipeline design with LLM APIs (OpenAI and equivalents). That's why we're looking for someone with a broad mindset who isn't afraid to experiment and can choose the most effective approach for each task.

The project's main audience and business team are based in the US. Although the product development team is Russian-speaking, you may occasionally need to write in English.

What You’ll Do

• Develop and deploy ML solutions across different business areas using tabular data (uplift models, recommender systems). We are also actively developing projects that will involve e-commerce mechanics.
• Select the most appropriate ML/LLM approaches or propose alternative solutions.
• Build end-to-end ML solutions: data preparation, training, API development, and monitoring.
• Design prompts and LLM API-based pipelines for specific product tasks: classification, content generation, and response quality evaluation.

Requirements

• 5+ years of ML/DS experience solving real product problems
• Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting); NLP knowledge is a plus
• Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (CR, LTV)
• Strong engineering culture: confident in Python with a product-oriented approach to development; we value clean code, knowledge of design patterns, and solid engineering practices
• Data skills: advanced SQL; ability to independently and efficiently build complex datasets in ClickHouse and work with MongoDB
• MLOps understanding: hands-on experience with experiment tracking tools and understanding of production workflows (Docker, Git, CI/CD)
• Autonomy: ability to break down problems, choose the right tech stack (or justify a non-ML solution), and deliver to production

Our Tech Stack

Core: Python (uv, ruff), FastAPI, Pydantic, Docker

Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)

Data: ClickHouse, MongoDB, pandas, Polars, Redis

MLOps: MLflow, Airflow

Monitoring: Grafana, Sentry

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• Private medical insurance for the employee and their family
• 22 paid vacation days per year
• Up to 14 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.
• €50 monthly allowance to cover internet and mobile phone expenses

_{**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.}

Role & Team

We’re looking for a Director of Platform & Infrastructure to own and evolve our core engineering foundations. Reporting to our VP of Product Engineering, this role will lead SRE, MLOps, and Platform teams with a mandate to create leverage across the entire organization.

As a scaling startup, we’re evolving from early-stage infrastructure to a more mature, reliable platform that can support rapid product development and growing customer demand. This role is critical in helping us make that transition — building systems, standards, and teams that enable speed today while laying the foundation for long-term scale.

Partnering closely with product, data, and application engineering teams, you will set the technical vision, define best practices, and ensure our infrastructure enables teams to move fast with confidence.

This is a highly cross-functional leadership role for someone who combines deep technical judgment with a systems mindset, strong people leadership, and a passion for building platforms that empower others.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do 

• Own the platform strategy across Platform, MLOps, and SRE, aligning it with company and product goals
• Grow senior ICs (and eventually manages) across multiple teams, fostering strong technical leadership and healthy team cultures
• Define and evolve our platform vision, including developer experience, internal tooling, CI/CD, infrastructure, observability, and reliability standards
• Oversee MLOps systems that support model development, training, deployment, monitoring, and governance in production
• Partner cross-functionally with Product, ML, Data, Security, and Compliance to ensure the platform meets current and future needs
• Balance speed and stability, making thoughtful tradeoffs between innovation, cost, reliability, and operational excellence
• Set metrics and accountability for platform performance, reliability, and developer productivity

Skills & Experience

• 10+ years experience leading platform, infrastructure, or reliability teams in a scaling startup environment, including navigating ambiguity, rapid growth, and the transition from early-stage systems to more mature, repeatable platforms
• Strong understanding of cloud-native infrastructure (GCP strongly preferred), Kubernetes, CI/CD, and modern DevOps practices
• Experience supporting machine learning systems in production, including model deployment, monitoring, and lifecycle management
• A track record of building reliable, scalable systems used by fast-moving product teams
• Excellent people leadership skills — you know how to coach managers, grow talent, and build inclusive, high-performing teams
• Strong communication skills and the ability to influence across org boundaries
• Experience in data- or ML-heavy products

Nice To Have

• Experience with geospatial data, image processing or mapping technology 

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits.  
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Project Description

We are looking for an experienced Data Engineer with deep expertise in Databricks to join our advanced analytics and data engineering team. The ideal candidate will play a key role in designing, building, and optimizing large-scale data solutions on the Databricks platform, supporting business intelligence, advanced analytics, and machine learning initiatives. You will collaborate with cross-functional teams to deliver robust, scalable, and high-performance data pipelines and architectures.

Technologies

• Databricks (including Spark, Delta Lake, MLflow)
• Python/Scala
• SQL
• ETL concepts
• Distributed data processing
• Data warehousing
• Cloud Platforms & Storage

What You'll Do

• Lead the design, development, and deployment of scalable data pipelines and ETL processes using Databricks (Spark, Delta Lake, MLflow);
• Architect and implement data lakehouse solutions, ensuring data quality, governance, and security;
• Optimize data workflows for performance and cost efficiency on Databricks and cloud platforms (Azure, AWS, or GCP);
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights;
• Mentor and guide junior engineers, promoting best practices in data engineering and Databricks usage;
• Develop and maintain documentation, data models, and technical standards;
• Monitor, troubleshoot, and resolve issues in production data pipelines and environments;
• Stay current with emerging trends and technologies in data engineering and Databricks ecosystem;

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
• 5+ years of experience in data engineering, with at least 2 years of hands-on experience with Databricks (including Spark, Delta Lake, and MLflow);
• Strong proficiency in Python and/or Scala for data processing;
• Deep understanding of distributed data processing, data warehousing, and ETL concepts;
• Experience with cloud data platforms (Azure Data Lake, AWS S3, or Google Cloud Storage);
• Solid knowledge of SQL and experience with large-scale relational and NoSQL databases;
• Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for data engineering;
• Experience with data governance, security, and compliance in cloud environments;
• Excellent problem-solving, communication, and leadership skills;
• English: Upper Intermediate level or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Sep 25, 2025 12:50

The Engineering (Tech) Team is responsible for all Feedzai product development. Together with Product Management and Data Science, we build the next generation of tools to catch fraud in real-time with a machine learning first approach. Formed by engineers and managed by engineers, at Feedzai, you will find one of the most talented teams out there, from junior to senior engineers.

We are fast-paced and provide a safe, open, and collaborative environment that encourages us to lean in, try new things and discover our potential with continuous learning for everyone.

While building the best value for our customers, you will work with a wide range of technical challenges. Such as building distributed systems that need to operate 24/7 and ultra-low latencies, solving UI/UX problems to help fraud analysts to fight fraud more efficiently. In addition, designing extensive databases from relational, NoSQL and graphs, validate and develop new data science techniques and algorithms.

You:

Our philosophy across Engineering includes the following key ideas, which you will have a key role promoting in your team: 

• Teams operate with a “you build it, you run it” DevOps mindset, taking end-to-end ownership of development, deployment, and operations. You'll drive a culture focused on automation, observability, and operational excellence, enabling continuous delivery with confidence.
• Architecture evolves towards a decoupled, microservice-based architecture, positioning it to scale efficiently in a multi-tenant, cloud-native environment. This effort is central to Feedzai’s long-term vision and product evolution

You are a passionate professional with the talent to push engineering excellence, challenge the status quo, and make things happen.

You will excel if you are curious, have a critical mindset, and can drive scalable technical solutions that mesh with our business goals.

Your Day to Day:

• Be hands-on, executing the full software development life cycle
• Write reusable and testable code using the best tools for the job and participate in code reviews
• Contribute to best practices and guidelines for software development
• Contribute to the cloud-native SaaS strategy of Feedzai
• Engage in recruiting activities that allow Feedzai to draw top talent
• Providing support and improvements to our production clients
• Work iteratively within our agile teams to develop our products and underlying technical frameworks
• Participate in an on-call rotation for our mission-critical platform, taking end-to-end ownership to ensure 24/7 reliability, with dedicated compensation.

You Have & You Know-how:

• 3+ years of experience building Java backend software or similar
• BSc/MSc degree in Computer Science, or a similar technical degree (required)
• Strong coding skills and Computer Science fundamentals
• Experience in programming high-performance, concurrent server-side code
• Experience designing and building modern web applications
• Experience with modern distributed systems platforms and patterns such as Spark, RabbitMQ, Kafka or Cassandra
• Contributions to OSS projects 
• Passionate desire to learn and grow
• Able to bring ideas into the team and to work out solutions to tough problems autonomously

The Product Team builds our product to disrupt the financial crime industry from a data-led approach. We partner with our clients using a holistic lens and have result-driven solutions to manage financial risk with a cloud-first platform and a world-class UX interface. Being part of this team, you have a voice in planning, strategizing, and challenging the status quo. Your thoughts and ideas are valued. Our fast-paced and open environment encourages us to lean in, try new things, and  discover our potential. We define and act on what could be in tomorrow's world, not on what is today. Join Us!

We believe in the power of our product. We continue to execute and build momentum as we develop our customer base with the world's top banks; we work with four of the five largest banks in the US, acquirers, processors, and merchants. In our fast-paced and open environment, you will be working with a collaborative team spanning across the globe and delivering exceptional results. We are committed to building something extraordinary. Join Us!

You: 

As a Senior Solutions Consultant at Feedzai, you will play an integral role in the sale of our leading RiskOps platform to high-profile Financial Institutions. You will partner with Feedzai’s sales team to understand clients, prospects and partners’ business, functional and technical needs and demonstrate how those can be achieved through the capabilities of our platform. You not only support effective qualification, but also own the technical dimension that addresses the business needs - you will successfully employ a combination of communication and soft skills, compelling storytelling, solution design and collaboration with a strong solutions design mindset to act as the trusted advisor with the clients. As needed you’ll also be a bridge to our product and development teams, distilling sales engagement feedback for them to help guide our roadmap. Finally you’ll have the organizational skills to do all this, and be able to lead multiple RFP proposals.

Your Day to Day: 

• Provide product demonstrations and lead technical sales discussions both remote and onsite across Europe. 
• Assist the sales team in leading tailored value driven pitches (market to technology), strongly focused in financial crime.
• Understand client business needs and offer solution designs to address those needs, in a continuous education mode and problem-solving mindset.
• Manage (orchestrate, complete, review, submit) formal Tenders (ie, RFPs, RFIs).
• Build formal proposals and own its life cycle throughout the sales process to ensure crisp translation of business needs into technical requirements.
• Engage with multiple stakeholders, from Product to Delivery, to ensure not only the right staffing for client engagements is in place but also to ensure market insights are shared across teams

You Have, You Know-how, You are: 

• BS or Masters in Computer Science or equivalent - proven experience in Enterprise Software sales and strong technical acumen.
• 5+ years of professional experience as Solution Consultant in complex environments, supporting teams to land and expand client’s portfolio.
• Proven experience in the Financial Services industry - Financial Crime
• Relevant commercial / sales experience, with a track record working as a Solution Consultant / Pre-sales Engineer, supporting quota carriers in selling enterprise-level software in complex and mission-critical environments.
• Experience at a growth-stage Enterprise software SaaS company.
• Ability to understand and determine an enterprise's client’s needs and how Feedzai’s products might best fit through a consultative approach.
• Strong business acumen with executive presence, strong presentation skills and excellent listening skills
• Must be organized and a self-starter, able to deliver high-quality work without a tactical oversight in a fast-paced environment.
• Highly driven, organized, ambitious and tenacious. A natural problem solver with a strong student mentality, work ethic and positive mental attitude.
• Willingness to travel up to 30% - this is a remote role, with travel as required.

#LI-Remote #LI-JP1

About Tripadvisor 

The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork.

The Tripadvisor Experiences Engineering team is distributed across Europe and is responsible for the platform, mobile apps and all their supporting infrastructure. We run the systems that help operators build their businesses and those which enable third parties to utilise our inventory. We provide the tools which help our customer services team provide world class service to travellers and operators internationally.

About the Role

We're looking for a Principal Product Engineer who pairs deep engineering craft with strong product instincts. You'll work across the stack - mobile, web, backend - wherever the highest-leverage problem happens to live that quarter. You don't wait for a perfectly scoped ticket; you partner with product, design, and data to figure out what's worth building, then ship it end-to-end.

We expect breadth. We also expect real depth in the mobile app ecosystem - our customer-facing experiences live there. But we're not hiring a mobile only specialist. We're hiring a generalist with mobile chops who can lead an iOS architecture review on Tuesday and untangle a backend latency regression on Wednesday. 

This role is open to candidates based within a commutable distance (generally up to 1.5 hours).

What you will do

• Identify, scope, and ship the changes that move business metrics - across mobile, web, services, and data layers
• Architect long-lasting systems that hold up under real production conditions: performance, reliability, scalability, offline behavior, consistency
• Lead technical design reviews across teams, weighing trade-offs not just in code but in product impact, time-to-ship, and operational cost
• Drive operational maturity wherever it's weakest - release management, observability, incident response, performance monitoring - including in the mobile apps
• Partner with PMs, designers, and engineering leaders to shape what we build, why, and in what order; you're a peer in those conversations, not a downstream implementer
• Set the technical bar for the org by example: write the prototype, prove the pattern, then teach it
• Communicate trade-offs clearly to engineers, product partners, and senior stakeholders

What we’re looking for

• 10+ years of software experience, with significant time still spent hands-on in code - track record of shipping product-impacting work end-to-end, not just owning a layer
• Real depth in the mobile app ecosystem (iOS and/or Android, with strong fluency in Swift and/or Kotlin and the surrounding ecosystem - offline sync, push, auth, persistence, networking, REST/GraphQL) - and credible breadth beyond it
• Demonstrated breadth: you've worked seriously in at least one of {web frontend, backend services, data/infra, platform tooling} alongside mobile, and can hold your own in code review there
• Strong product judgment: you've made calls about what not to build, and can defend them with evidence
• Comfort troubleshooting in production across stacks - crash analysis, latency tracing, release-health debugging
• Excellent cross-functional collaboration; you make the people around you better

Nice To Have

• Background in marketplaces, bookings, or other transactional consumer products
• Time spent close to data - experimentation, analytics instrumentation, or ML-adjacent work

What We Offer 

• Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses
• “Work your way” with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like or as required by your team.
• Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work.
• Donation matching. Give back? Give more! We match qualifying charitable donations annually.
• Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs.
• Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you.
• Travel perks. We believe that travel is employee development, so we provide discounts and more.
• Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges.
• Health benefits. We offer great coverage and competitive premiums.
• Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates.

Our Cultural Pillars:

Traveler first

We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. 

Execution is our edge

We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges. 

We succeed together

The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements.

We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com.

If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers!

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

At Datadog, we’re on a mission to bring security and observability together for modern organizations. Bits AI for Security is our AI agent that leverages LLMs to help analysts investigate alerts, understand threats, and respond faster. We’re looking for a product-minded AI Engineer to help us build the next generation of AI-driven security capabilities.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with users, security experts, PMs, and data scientists on cutting edge AI agents that drive real value for our customers
• Develop tools, retrieval and planning strategies, and guardrails; manage prompts/evals; design fallbacks and human‑in‑the‑loop paths
• Collaborate with Product, Design, and partner teams to build cohesive experiences
• Prototype and see what works well, iterate closely with our users and experts, and then ship
• Follow the latest research on GenAI and AI agents

Who You Are:

• You have a BS/MS/PhD in Computer Science, Engineering, Artificial Intelligence or a related scientific field or equivalent experience
• You’re a backend engineer with at least 4 years of professional experience (Go, Python, Java, etc.) who values code simplicity and performance
• You have relevant work experience with LLMs, large-scale systems, machine learning, or adjacent fields. You’ve shipped software that uses LLMs to production
• You want to work in a fast, high-growth startup environment that values its engineers
• You are a good communicator and can drive hard technical conversations towards a pragmatic solution
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output

Bonus Point:

• Excited to work in the security domain, with an understanding of how analysts investigate threats and alerts
• Fluency with offline/online evals for AI systems; can build reliable golden sets and automatic regressions
• Experience scaling products in a high-growth SaaS environment
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re building a new team building to bring the power of Datadog to developers within AI-focused Developer workflows such as AI agents like Cursor, Claude code, GitHub Copilot and Datadog’s native AI agents.

We’re looking for product-minded engineers who are excited about developer tools, SDLC improvements and AI in general to help us quickly define and ship features and tools that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do: 

• Work on agents, prompts, evals, MCPs and direct agent tools from ideation to productization, for allowing Datadog to help companies and developers to maximize the benefit of their integration with Datadog
• Help conceptualize and build innovative User flows and experiences within Datadog’s user space and different extensions 
• Prototype and see what works well in the real world, iterate closely with our users, and then ship
• Follow the latest research on LLM prompt optimization, agents, and code editing.
• Support other Datadog product teams to help them build and productionize their developer-focused AI Workflows. For example, you’ll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of  “one click to reproduce” for production errors.

Who You Are: 

• You’re a backend engineer with at least 5 years of professional experience who values code simplicity and performance. You’ve shipped software that uses LLMs to production
• You are passionate about Generative AI and its ability to help software engineers be more productive
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution
• You want to work in a fast, high-growth startup environment that respects its engineers and customers
• You have experience writing classic or AI oriented developer tools(such as IDEs, static code analysis, SDLC tools etc).
• You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Let's start with the role

At Kaizen, our aim is to make data driven decisions in order to automate our servicers while also focusing on offering tailored customer experiences. Our machine learning team is dedicated towards this mission by building a variety of models, from binary classification tasks up to recommendation systems. We focus on transforming business needs into production applications and we cover a wide range of business sectors utilizing different data types and handling a broad project diversity. 

Our teams comprise of three different roles, data scientists, machine learning engineer and data engineers so that they include the full skillset to deliver projects to production.

We are currently looking for data scientists in all levels to join our teams. The role should combine strong knowledge of machine learning algorithms, analytical skills, experimental design etc. to support the model development process.

• Translate business requirements to machine learning problems;
• Perform EDA and feature engineering;
• Run comparative experiments for model training;
• Implement best practices on model selection, parameter tuning etc.

What you’ll bring

• A background in Computer Science, Statistics, Math or related field;
• Strong knowledge of machine learning algorithm and respective theory;
• 2-8 years of hands-on experience in delivering machine learning models to production;
• Knowledge of the Python machine learning ecosystem;
• Experience with Spark (PySpark);
• Solid software background in OOP;
• Strong skills in teamwork, communication, and analytical thinking;
• Fluency in English, both oral and written.

Nice to have

• Experience with Azure / Databricks;
• Knowledge of Deep learning;
• Experience in recommendation systems.

#Artificial Intelligence (AI) #Machine Learning (ML) #Data Science (DS)

Kaizen Gaming Perks

• 🕑 Hybrid way of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay & bonus scheme
• ⭐Developmental 360° feedback framework
• 💰 Monthly meal allowance
• 👩‍⚕️ Private health insurance for you and your family
• 📚 Unlimited access to Udemy & continuous training
• 👨‍👩‍👧‍👦 Family Support.
• #LI-Remote
• #LI-PROMOTE

Let's start with the role

At Kaizen, we strive to harness the power of modern AI algorithms to continuously improve our product and business. Kaizen’s AI department consists of product, platform and research teams and lies at the core of that mission. We develop AI products for various applications, ranging from detection of fraudulent activity to personalized gaming recommendations and from AI-powered co-pilots to CRM optimizations. 

We structure our teams to be self-driven, autonomous, and cross-functional. Within these teams, you will have the opportunity to work with Data Scientists, Machine Learning Engineers, Data Engineers, Data Analysts, Product Owners and Agile Delivery Leads.

As a Senior Machine Learning Engineer, you will focus on delivering robust and scalable Machine Learning pipelines and you will support the operationalization of Machine Learning models. Here's what's up for you:

• Collaborate closely with data scientists in order to deliver production-ready model training pipelines;
• Design scalable solutions in a distributed environment;
• Design scalable inference pipelines and architectures;
• Implement model diagnostics such as evaluation, monitoring flows etc.;
• Automate model deployment, enable REST API model endpoints;
• Develop scalable model serving flows;
• Work on cluster optimization and scalability;
• Develop and maintain internal tools and libraries;
• Write CI/CD/CT pipelines.

What you’ll bring:

• Extensive experience in software development using Python in large scale, high-performance production environment;
• Significant hands-on experience in designing ML software systems;
• Significant experience with cloud environments like Microsoft Azure or AWS;
• Hands-on experience with Spark and PySpark;
• Excellent problem solving and communication skills
• Good understanding of:

• • Software system design; 
  • The ML project lifecycle;
  • MLOps concepts and tools such as MLflow or Kubeflow;
  • ML algorithms and models.

Kaizen Gaming Perks

• 🕑 Hybrid model of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive salary package and bonus scheme
• 👩‍⚕️ Health and life insurance for you and your family
• 💰 Monthly meal allowance 
• ⭐ Developmental 360° feedback framework
• 📚 Unlimited access to Udemy & continuous training
• 🚗 Commuting allowance
• 👨‍👩‍👧‍👦 Family Support
• #LI-Remote

Let's start with the role

As a Principal Data Scientist, you will play a critical role in leveraging data and AI to deliver value and create a competitive advantage for the organization. The ideal candidate will be a tenured Data Scientist, ML or AI engineer that has a proven track record of designing and implementing cutting-edge, data-intensive and AI-empowered applications along with the corresponding ML/DL algorithms.

As a Principal Data Scientist your main responsibilities will be

• Architecture: Architect scalable, reliable and high-performance AI applications along with their corresponding ML/DL algorithms.
• Innovation: Tech-lead the AI tribe in order to deliver state-of-the-art AI models in production.
• Mentorship: Inspire and mentor fellow data scientists, fostering technical and soft skill growth.
• Pioneering: Stay ahead of the AI curve, applying emerging technologies to enhance our capabilities and disrupt the industry. 
• Strategic Planning & Prioritization: Define the company-wide AI technical and product roadmap, in-line with the business product roadmap. Resist the AI hype and enable impact-driven prioritization with quick and impactful PoCs that demonstrate the value.
• Autonomy & end-to-end Ownership: From ideation all the way to operationalization and maintenance, demonstrate autonomy on high-complexity projects and ownership of the outcome.

What you’ll bring

• 8+ years of hands-on experience leveraging large-scale data to build ML/DL models with Python
• PhD-level expertise in one or more of the following domains: Recommendation Systems, Natural Language Processing, Computer Vision, Speech and Audio, Time-series, Reinforcement Learning, Graph Learning
• A deep understanding of the ML development lifecycle and how to optimize the trade-offs in each step. 
• Proven track record of designing, implementing, optimizing and scaling performant AI-empowered applications. Solid experience with MLOps practices in order to operationalize and maintain those applications in production.
• Excellent communication and collaboration skills targeting a diverse audience from stakeholders to cross-functional technical teams, in order to provide technical guidance and insight.

• Expertise in genAI or agentic AI. Hands-on experience in prompt design, optimization, testing and evaluation for different types of foundational models.
• Familiarity with a wide range of big data technologies, such as Apache Spark, Delta Lake, Apache Kafka, Apache Flink and NoSQL databases.

We're looking for an AI expert who wants to be at the forefront of innovation in the iGaming industry. Join us in shaping the future of iGaming with breathtaking experiences that thrill and delight players around the world.

Kaizen Gaming Perks

• 🕑 Hybrid model of working; 
• 🏃 A buddy will support you with your onboarding;
• 💸 Competitive salary package and bonus scheme;
• 👩‍⚕️ Health and life insurance for you and your family;
• 💰 Monthly meal allowance 
• ⭐ Developmental 360° feedback framework;
• 📚 Unlimited access to Udemy & continuous training
• 👨‍👩‍👧‍👦 Family Support.
• #Li-Remote

Let's start with the role

At Kaizen, we aim to leverage the capabilities offered by modern AI algorithms to continuously improve our product and business. Kaizen’s AI department consists of product, platform and research teams and lies at the core of that mission. We develop AI products for various applications, ranging from detection of fraudulent activity to personalized gaming recommendations, and from AI-powered co-pilots to CRM optimizations. 

We build our teams to be self-driven, autonomous and cross-functional. Within these teams, you will have the opportunity to work with Data Scientists, Machine Learning Engineers, Data Engineers, Data Analysts, Product Owners and Agile Delivery Leads.

As a Machine Learning Software Engineer, you will focus on delivering robust and scalable Machine Learning pipelines and you will support the operationalization of Machine Learning models. 

• Design, develop and maintain scalable model training and inference pipelines in a distributed production environment;
• Design, develop and maintain microservices in Python that host and serve ML models on production;
• Design, develop and maintain internal tools that enable CI/CD/CT, performant feature engineering, experiment tracking, data and model versioning.

What you’ll bring

• Ηands-on experience in software development using Python on a production environment;
• Good understanding of:
• Software system design; 
• The ML project lifecycle;
• MLOps concepts and tools such as MLflow or Kubeflow;
• ML algorithms and models.
• Experience with cloud providers like Microsoft Azure or AWS;
• Experience with PySpark and Databricks.

Kaizen Gaming Perks

• 🕑 Hybrid model of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive salary package and bonus scheme
• 👩‍⚕️ Health and life insurance for you and your family
• 💰 Monthly meal allowance 
• ⭐ Developmental 360° feedback framework
• 📚 Unlimited access to Udemy & continuous training
• 🚗 Commuting allowance
• 👨‍👩‍👧‍👦 Family Support
• #LI-Remote

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond.

Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn.

We’re seeking a Senior Lead Machine Learning Engineer to architect, ship, and scale the next generation of agentic intelligence across Upwork. You will lead end‑to‑end development of AI agents and the platform that powers them—from LLM training and evaluation to runtime orchestration, safety, and developer APIs. This is a hands‑on, high‑impact role at the intersection of applied research and platform engineering, enabling internal teams and external developers to build reliable, safe, and high‑performing agents on Upwork.

Responsibilities

• Build Agentic Intelligence.  Design and implement multi‑agent systems (planning, tool‑use, memory, debate/critique, reflection) with robust guardrails and recovery strategies.
• Develop protocol‑aware agents and services that interoperate cleanly with developer tooling (e.g., agent frameworks and protocols such as MCP). 
• Own reliability at scale: deterministic execution where needed, idempotency, timeouts/retries, and evaluation‑driven iteration on agent behavior.
• Train, Align, and Evaluate LLMs for Agents.  Lead data strategy and curation for agent tasks; drive SFT, DPO, RLHF/RLAIF, and safety tuning tailored to multi‑tool, multi‑step workflows.
• Stand up evaluation harnesses for functional, task, and longitudinal metrics (success rate, time‑to‑completion, hallucination/escape rates, cost/latency).
• Build policy‑driven guardrails; partner with Legal/Security on data governance and privacy.
• Engineer Agentic Platform Backend Infrastructure.  Architect low‑latency inference, retrieval, and orchestration services (streaming, event‑driven pipelines; scalable queues; caching; batching) with strong SLOs.
• Ship production‑grade services (APIs/SDKs, auth, rate limiting, observability) that make agent features easy to integrate for internal and external developers. 
• Optimize cost/performance via quantization, distillation, model‑routing, and autoscaling; integrate evaluation signals directly into runtime and CI/CD.
• Lead, Partner, and Uplevel the Ecosystem.  Provide technical leadership across research, product, and platform teams; mentor senior ICs; influence roadmaps with clear metrics and trade‑offs.
• Publish internal guidance and exemplar implementations; contribute to technical content, samples, and reference architectures for our agent platform. 
• Define and track KPIs for data/quality/throughput, and drive continuous improvement using experiment results and production telemetry.

What it takes to catch our eye

• 8–12+ years in applied ML/ML systems with 4+ years building LLM‑powered products; proven delivery of agentic workflows in production.
• Hands‑on mastery of LLM adaptation (prompting, tool/function calling), data curation, and safety/guardrails.
• Strong software fundamentals (distributed systems, transactions, consistency, resiliency) and experience building high‑throughput microservices/APIs/SDKs.
• Fluency with Python; proficiency in one of Go/Java/Javascript a plus. Experience with container orchestration, messaging/streaming, and observability stacks.
• Experience designing eval suites for agents (task/rubric‑based, offline/online) and closing the loop from evals → training → runtime policy.
• Comfort with cost, latency, and reliability trade‑offs; you use metrics to make crisp decisions under ambiguity.
• Familiarity with agent frameworks and protocols (e.g., MCP; API/SDK design for developer productivity).
• Track record of leading cross‑functional initiatives and mentoring senior engineers; excellent written communication and bias for measurable results.

Come change how the world works.

Upwork is establishing its first international operational hub in Lisbon, Portugal. The new office is expected to be fully operational by Q4 2026.This position will initially be employed through a partner to ensure a seamless hiring process while we establish the hub. Once the hub is established, there may be opportunities to transition to employment with Upwork depending on business needs and other requirements. While employed by the partner, you’ll work as part of Upwork’s team, with access to our resources, culture, and growth opportunities. Our partner will offer competitive benefits. When Upwork’s hub is established, we will be excited to offer employment and benefits directly as business needs require. Upwork is committed to building a diverse, inclusive, and equitable workforce. Employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or any other status protected by applicable law.

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond.

Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn.

As a Lead AI Engineer on our Data Platform & Services (DPS) team, you will apply your expertise in AI capabilities to build and deploy production grade AI powered systems towards data engineering, analytics & product evolution use cases.  You’ll design and deploy agentic frameworks, natural language querying (NLQ) capabilities, and prompt/LLM evaluation strategies that unlock insights at scale across Upwork. This is an opportunity to deliver tangible impact, enabling faster decision-making, democratizing data access, and empowering analysts, product teams and stakeholders throughout the company.

Responsibilities

• Design and implement scalable agentic frameworks that coordinate multiple AI agents to deliver accurate and reliable outcomes.
• Build and optimize natural language query solutions that provide compliant, intuitive, and self-service access to enterprise data.
• Develop and maintain evaluation frameworks for LLMs and prompts, driving measurable improvements in accuracy, scalability, and resilience.
• Partner with data engineering peers to integrate AI orchestration with Python, SQL, and Snowflake pipelines.
• Contribute to AI-powered summarization and explanation tools that enhance reporting, insights, and executive reviews.
• Collaborate cross-functionally with product, analytics, and business teams to ensure solutions meet measurable business goals.

What it takes to catch our eye

• Proven experience delivering AI-powered data systems in production, including hands-on expertise with LLMs and prompt engineering.
• Strong foundation in modern data engineering, with proficiency in Python, SQL, and platforms such as Snowflake.
• Demonstrated ability to design agentic orchestration frameworks that scale across diverse business scenarios.
• A collaborative problem-solver with strong communication skills, able to align stakeholders and create clarity across teams.
• Growth mindset, excited to learn, iterate, and deliver measurable business outcomes through applied AI.

Come change how the world works.

How You'll Make an Impact: 

As a Senior DevOps Engineer at Cloudbeds, your goal is to constantly improve and scale our SaaS platform to deliver an exceptional experience to hoteliers and their guests worldwide. You'll own the creation, monitoring, automation, and support of our cloud infrastructure and delivery pipelines — enabling product teams to ship high-quality software with speed and confidence. Working within a bottom-up culture that values healthy debate and collaborative problem-solving, you'll have real influence over architecture decisions and the opportunity to shape how we scale infrastructure for one of the fastest-growing hospitality technology platforms in the world.

Our Infrastructure Team: 

Our Infrastructure team is made up of engineers who take genuine pride in their craft, owning projects end-to-end and holding themselves to a high bar. We're passionate about technology and constantly pushing to improve our stack, not just maintain it. If you thrive in an environment where attention to detail matters, great communication is a given, and you're comfortable challenging the status quo to make things better, you'll feel right at home here.

What You Bring to the Team:

• Architect, improve, and scale Cloudbeds' cloud infrastructure on AWS, with a focus on reliability, security, and performance
• Build and evolve our Kubernetes (EKS) platform, driving adoption of containerization best practices across engineering teams
• Automate infrastructure provisioning and configuration using infrastructure-as-code tools like Terraform
• Design, build, and maintain CI/CD pipelines (GitHub Actions, ArgoCD) that enable fast, reliable software delivery
• Partner with product and engineering teams to drive projects to production, sharing DevOps expertise and ensuring strong environment configuration from the infrastructure side
• Maintain and improve monitoring, logging, and alerting systems to ensure platform health and rapid incident response
• Participate in on-call rotation to support production environment stability.

What Sets You Up for Success:

• 5+ years of experience as a DevOps Engineer working hands-on with AWS (networking, compute, storage, databases, queues, cache, permissions).
• 5+ years of strong Kubernetes and Docker experience, including implementing and scaling EKS platforms at production scale.
• Deep expertise with Terraform for infrastructure-as-code and configuration management.
• Proven experience building and supporting CI/CD pipelines using GitHub Actions and ArgoCD.
• Strong knowledge of monitoring and observability tools such as Datadog, Prometheus, Loki, or AWS CloudWatch.
• Working knowledge of web application servers (NGINX, Ingress controllers), databases (MySQL, PostgreSQL, Aurora), caching (Redis, Memcached), and queue technologies (SQS).
• Ability to write Bash and/or Python scripts to automate operational tasks.
• Strong Linux system administration skills and solid networking fundamentals.
• Excellent written and verbal English communication skills; comfortable working asynchronously across a globally distributed remote team.

#LI-REMOTE #LI-IK1

Are you passionate about working with the most cutting-edge technologies, including AI, big data analytics, LLMs, data mining, and business intelligence (BI)? Are you looking to become part of a world-class engineering team? Do you aspire to contribute to a globally recognized, pre-IPO leader in technology?

As a Senior Software Engineer, you will contribute to the design and development of AI-driven architectures that power our next-generation intelligent customer engagement platforms. Your contributions will help shape AI-powered customer experiences, enhancing the intelligence and efficiency of our service platforms.

Job Responsibilities:

• Develop and enhance a cloud-based data foundation system and AI agent platform. This involves leveraging AI/ML models, applying prompt engineering techniques, and conducting data analysis across structured, semi-structured, and unstructured data. Utilize technologies such as data and pattern mining, business intelligence (BI), and data transformation and processing.
• Collaborate with cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to deliver a high-performance, reliable, scalable service with assured AI quality.
• Contribute to architectural discussions, providing technical design input and ensuring alignment with the overall technology roadmap while adopting best practices effectively and independently.
• Participate in shaping the engineering roadmap, ensuring solutions are scalable and extensible while meeting business needs.
• Support and mentor junior engineers, fostering a collaborative and innovative development culture.
• Stay up-to-date with industry trends, emerging technologies, and advancements in AI and data engineering.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in backend development for cloud-based services, with a strong focus on scalability, reliability, and performance.
• Proficiency in Java, Python, C++, C#, Kotlin, Scala, or similar languages.
• Experience building and optimizing data-intensive services, including data processing, transformation, storage, and retrieval at scale.
• Strong problem-solving skills and ability to design scalable solutions for AI-driven services.
• Strong written and verbal English communication skills.
• Prior experience with data platforms and/or AI services is highly desirable.
• Experience working with distributed data platforms and modern data architectures, such as Apache Spark, Databricks, Kafka, Delta Lake, or similar is a desirable.
• Experience in data science and practical experience applying AI/ML models is a plus.

Additional Notes:
This position will follow a hybrid work model.

About this job

At JUMO, we’ve built a smart financial services platform to make finance accessible to everyone.  Our Data engineering team ensures that our intelligent banking platform is able to acquire data from millions of users across globally distributed sources, such as GSM. Beyond ingress, the data is processed and stored in the cloud to support event-driven analytics and machine learning pipelines.

As a JUMO Junior Data Engineer, you will design, build and maintain scalable data architectures.  You will monitor their performance, perform root cause analysis and provide solutions to any issues that might arise. You will work with large, complex data sets, which means experience working with Big Data is essential.  On a typical day, we use Spark, Kafka, Python, SQL, Airflow and AWS technologies, such as Redshift.  We work with Docker and Kubernetes for automating deployment, scaling, and management of containerized applications.  

You will

• Be responsible for creating robust, mission critical batch and streaming data processing capabilities
• Design, implement, and maintain the data pipelines that constitute JUMO's data platform, enabling effective use of data across the organisation
• Provide feedback on team members' output, encouraging skills development within the team
• Work closely with Portfolio Managers and Decision Scientists to understand the real world problems we’re trying to solve
• Be supported by senior leaders as you drive your own development

You will need

• BSc. in Computer Science, Electrical Engineering or equivalent tertiary degree
• Real-world understanding & experience of data pipeline design and development, as well as data processing and storage (i.e. experience in designing systems to process and curate large data sets)
• Experience in streaming technologies, specifically Spark and Kafka
• Experience with cloud technologies, AWS preferred
• Solid, proven experience working with big-data technologies such as Apache Spark, Flink, Hadoop, Kafka or Kinesis, DynamoDB
• Command of productionising and monitoring of data pipeline workflows, and working knowledge of the Data Product Lifecycle
• Experience in application design and development with at least one of the following languages: Python (preferred), Kotlin
• RDBMS experience in any relevant technology such as MySQL, PostgreSQL, Redshift and SQL Server.  This includes experience with relational database administration, technical architectures and infrastructure components
• Understanding of CI/CD practices
• Productive within a Linux command line environment
• Proven ability to contribute software as part of a team.  We are looking for someone that can effectively communicate technical concepts, and apply critical thinking under pressure

Bonus if you have

• Experience working with messaging systems (RabbitMQ, Redis, SNS)
• Experience working with data pipeline orchestration (Airflow, Nifi, Dagster )
• Experience working with production BI environments and tools (Tableau, Superset, Looker)

We ask a lot of each other at JUMO, but we give a lot too.

You will love

• Collaborating with smart, engaging people in an inspiring work environment
• Working for impact
• Growing and learning continuously, with loads of encouragement and support
• Boldly taking risks as we navigate new challenges
• Flexible work practices enabling your best delivery
• Being autonomous and empowered to lead
• A stack of leading-edge technologies

Remote First

We operate a remote first working approach, where working remotely is our default way of working. Our environment is designed to foster innovation and enable collaboration. You have flexibility where to work from (between time zone UTC 0 and UTC +3), as long as you are set up to work remotely and have access to data with a strong and reliable connection as we value online facetime for collaboration at JUMO.

Diversity and Inclusion

At JUMO, we firmly believe that diversity strengthens our teams. We are dedicated to fostering an inclusive recruitment process that cultivates an environment where all individuals can be authentic, collaborate, and thrive.

About this job

At JUMO, we’ve built a smart financial services platform to make finance accessible to everyone.  Our Data engineering team ensures that our intelligent banking platform is able to acquire data from millions of users across globally distributed sources, such as GSM. Beyond ingress, the data is processed and stored in the cloud to support event-driven analytics and machine learning pipelines.

As a JUMO Data Engineer, you will design, build and maintain scalable data architectures.  You will monitor their performance, perform root cause analysis and provide solutions to any issues that might arise. You will work with large, complex data sets, which means experience working with Big Data is essential.  On a typical day, we use Spark, Kafka, Python, SQL, Airflow and AWS technologies, such as Redshift.  We work with Docker and Kubernetes for automating deployment, scaling, and management of containerized applications.  

You will

• Be responsible for creating robust, mission critical batch and streaming data processing capabilities
• Design, implement, and maintain the data pipelines that constitute JUMO's data platform, enabling effective use of data across the organisation
• Provide feedback on team members' output, encouraging skills development within the team
• Work closely with Portfolio Managers and Decision Scientists to understand the real world problems we’re trying to solve
• Mentor juniors with technical leadership
• Be supported by senior leaders as you drive your own development

You will need

• BSc. in Computer Science, Electrical Engineering or equivalent tertiary degree
• Real-world understanding & experience of data pipeline design and development, as well as data processing and storage (i.e. experience in designing systems to process and curate large data sets)
• Experience in streaming technologies, specifically Spark and Kafka
• Experience with cloud technologies, AWS preferred
• Solid, proven experience working with big-data technologies such as Apache Spark, Flink, Hadoop, Kafka or Kinesis, DynamoDB
• Command of productionising and monitoring of data pipeline workflows, and working knowledge of the Data Product Lifecycle
• Experience in application design and development with at least one of the following languages: Python (preferred), Kotlin
• RDBMS experience in any relevant technology such as MySQL, PostgreSQL, Redshift and SQL Server.  This includes experience with relational database administration, technical architectures and infrastructure components
• Understanding of CI/CD practices
• Productive within a Linux command line environment
• Proven ability to contribute software as part of a team.  We are looking for someone that can effectively communicate technical concepts, and apply critical thinking under pressure

Bonus if you have

• Experience working with messaging systems (RabbitMQ, Redis, SNS)
• Experience working with data pipeline orchestration (Airflow, Nifi, Dagster )
• Experience working with production BI environments and tools (Tableau, Superset, Looker)

We ask a lot of each other at JUMO, but we give a lot too.

You will love

• Collaborating with smart, engaging people in an inspiring work environment
• Working for impact
• Growing and learning continuously, with loads of encouragement and support
• Boldly taking risks as we navigate new challenges
• Flexible work practices enabling your best delivery
• Being autonomous and empowered to lead
• A stack of leading-edge technologies

Remote First

We operate a remote first working approach, where working remotely is our default way of working. Our environment is designed to foster innovation and enable collaboration. You have flexibility where to work from (between time zone UTC 0 and UTC +3), as long as you are set up to work remotely and have access to data with a strong and reliable connection as we value online facetime for collaboration at JUMO.

Diversity and Inclusion

At JUMO, we firmly believe that diversity strengthens our teams. We are dedicated to fostering an inclusive recruitment process that cultivates an environment where all individuals can be authentic, collaborate, and thrive.

ComplyAdvantage Technology

At Comply, we are building cutting-edge solutions that help prevent money flowing to and from bad actors to create a safer world. Your work will allow our customers to find out who is associated with crimes, financial and political risks, what that association is, and when it occurred, and it will dynamically update their state as new information emerges across a huge range of sources.

What you will be doing

As a Machine Learning Engineer, you will: 

• Build/train and productionize machine learning models for your squad
• Build capabilities to monitor model performance and feature drift
• Where appropriate re-use public models and techniques such as prompt engineering and RAG to reduce time to value
• Collaborate with other software engineers in a cross functional team to design and implement intelligent services
• Design software with scale, transparency and ease of operation in mind, writing maintainable, performant and well-tested code in Python
• Integrate ML models into new and existing data pipelines to drive positive impacts for CA’s customers, including feature engineering as well as building APIs and consuming and producing event streams as inputs and outputs of models

Our Tech Stack:

• Our technology stack is designed to run on public cloud architectures, notably AWS and GCP
• We use Python and Kotlin in the backend and TypeScript, ES6 and React in the frontend
• We make substantial use of  modern database technologies (eg. Yugabyte) as well as Spark and cloud based object stores for big data processing
• We also use an event-sourced model powered by Kafka for our communication bus and gRPC for our intra-service communication protocol
• Our data and AI teams use a wide range of machine learning libraries, large scale hybrid columnar data stores such as Databricks, Spark for stream and big data processing in combination with Kafka, as well as some graph databases
• We use modern observability solutions (Grafana) and deploy our code using ArgoCD

We have a strong emphasis on engineering excellence and strive to ship the best possible code and the best possible solutions to our customers.

About you:

• Experience maintaining and scaling machine learning-powered applications in production environments.
• Experience building scalable backend applications (preferably with Python).
• A track record of working in multi-disciplinary teams alongside Data Scientists, ML Engineers, and Product Managers.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) or with containerized infrastructure (e.g., Kubernetes, Docker, ArgoCD, Argo Workflows).
• Strong communication skills and a collaborative mindset, with the ability to contribute to system design discussions and mentor more junior engineers.

Nice to have:

• Experience working with PySpark or other distributed data processing frameworks.
• Background in building data-intensive applications or distributed systems using map-reduce style architectures.
• Familiarity with event-driven or microservice architectures.

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development

Position Overview

We are seeking a highly skilled DevOps/Cloud Platform Engineer to join our engineering organization and help drive the next generation of our infrastructure and CICD platform capabilities. In this role, you will be an integral part of our CICD release process, responsible for designing, operating, and optimizing CICD runners and environments, maintaining cloud infrastructure, and creating internal developer platforms that support fast, reliable, and secure software delivery. You will work closely with engineering, QA, data, and product teams to ensure our systems are scalable, resilient, and easy to use.

The ideal candidate brings a strong blend of CICD knowledge, cloud infrastructure expertise, DevOps mindset, and hands-on development skills. You will automate wherever possible, use Infrastructure as Code to maintain consistency, and leverage modern DevOps tooling, including AI-assisted automation to enhance operational efficiency and developer productivity.

This is an operations role for someone who thrives in solving complex technical problems, improving processes, and building platforms that accelerate engineering velocity.

What you'll do:

• Develop, enhance, and maintain CI/CD self-hosted infrastructure using modern DevOps tooling (GitHub Actions Runners stack, ArgoCD, FluxCD etc.).

• Automate infrastructure provisioning, configuration management, monitoring, and operational workflows using IaC and scripting languages.

• Own the deployment, maintenance, and lifecycle management of systems supporting engineering (Kubernetes clusters, container registries, artifact systems, and internal developer platforms) leveraging deep expertise in Kubernetes, container runtimes, and the broader cloud-native ecosystem (Helm, Kustomize, etc.).

• Troubleshoot complex infrastructure and application issues, driving root-cause analysis and developing long-term remediation solutions

• Design, build, and maintain cloud infrastructure across major cloud providers (AWS, GCP, Azure), and develop/support deployments of applications, services, and monitoring with a strong focus on scalability, reliability, and cost optimization.

• Develop internal tooling and automation using Terraform, Python, Go, or similar languages to streamline operational tasks and improve developer productivity.

• Implement and manage security best practices across cloud environments, including identity management, secrets handling, audit logging, and network controls.

• Leverage AI/ML tools to automate repetitive DevOps tasks, operational workflows.

Your Experience:

• 4-8+ years of experience in DevOps, Cloud Engineering, Systems Administration, or similar infrastructure-focused roles.

• Familiar with GIT and comfortable with at least one systems programming language (C/C++, golang) and one scripting language (python, bash).

• Proficiency with Infrastructure as Code (Terraform, Pulumi, or CloudFormation) and configuration management (Ansible, Chef, or SaltStack).

• Working knowledge of at least one of observability stacks (Prometheus, Grafana, ELK/OpenSearch, Datadog, etc.) and operational troubleshooting.

• Strong hands on experience with Kubernetes management in production environments

• Experience designing, developing, and/or troubleshooting distributed systems.

• Comfort with shells on *nix family systems.

• B.S. degree or equivalent experience in Engineering, Computer Science or a related field.

Preferred Qualifications:

• Hands-on experience building CI/CD pipelines from a user perspective (GitHub Workflows, GitLab pipelines, etc)

• Certifications from cloud service providers (AWS DevOps, GCP Devops Eng, etc)

• Natural curiosity or drive to learn about new or adjacent technologies.

• Experience applying AI/ML tools (GitHub Copilot, cloud AI services, LLM-based automations, anomaly detection tooling, etc.) to streamline DevOps and infrastructure workflows is a strong plus.

• Hands-on experience implementing AI-enhanced threat detection systems.

About us:

SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv.

Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people.

To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.

SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. 

For candidates residing in California, please see our California Recruitment Privacy Notice. For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice.

What you will be doing:

We are building cutting edge solutions that help reveal the truth for a safer world and we are looking for Machine Learning Engineers to help us do this! You will engineer machine learning models, tooling and data pipelines for our linked data ecosystem and work on models to determine whether the people and companies our clients are screening and monitoring are linked to financial crime, and to improve recall while reducing noise in the results. 

As a Junior Machine Learning Engineer, you will:

• Build/train and productionize machine learning models for your squad
• Build capabilities to monitor model performance and feature drift
• Where appropriate re-use public models to reduce time to value
• Collaborate with other software engineers in a cross functional team to design and implement intelligent services
• Be mentored by senior engineers to design solutions with scale, transparency and ease of operation in mind, and to write maintainable, performant and well-tested code in Python
• Work with mid and senior engineers to integrate ML models into new and existing data pipelines to drive positive impact for CA’s customers, including feature engineering as well as building APIs and consuming and producing event streams as inputs and outputs of models

Our Tech Stack:

• Our technology stack is designed to run on public cloud architectures, notably AWS and GCP. 
• Development is organized around Kotlin and Python for our backend languages and TypeScript/ES6+React for our frontend stack. 
• We make substantial use of relational database technologies, notably Postgres, and also use of  a distributed SQL database as Yugabyte
• We also use an event-sourced model powered by Kafka for our communication bus and gRPC for our intra-service communication protocol. 
• For our data and AI teams, experience in machine learning development and very large-scale columnar data stores (e.g. Apache HBase, Databricks) is key, as well as experience with large-scale data streaming technologies such as Apache Spark, graph databases (e.g. Neo4j, AWS Neptune, TigerGraph)
• We use modern observability solutions built on Grafana Cloud, and deploy our code using ArgoCD

We have a strong emphasis on engineering excellence and strive to ship the best possible code and the best possible solutions to our customers.

About you:

As a Junior Machine Learning Engineer, you will have:

• Demonstrable python software development skills
• A degree with some mathematical content and formal machine learning education either subsequent to your degree (e.g. as a masters) or as a core part of your degree
• Demonstrable experience of building ML models using a range of machine learning algorithms and techniques either from previous jobs or personal and academic projects 

Education: 

• BSc/BA degree in computer science, engineering or related discipline OR relevant years of experience in required skills.

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy - A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development 

We are looking for driven, talented Junior Software Engineers to help us build our SaaS-based anti-money laundering solutions, which help organizations fight financial crime! We are building solutions that help reveal the truth for a safer world and stop money from ending up in the hands of criminals. 

As a Junior Software Engineer, you will:

• Be working alongside other software engineers within the Team.
• Write new features that enable our platform to analyse information about individuals, apply ML models to categorize their actions, and merge all this with existing data we hold. Your work will allow our customers to find out who has done something bad, what they did, and when.
• Help us deliver new features and maintain our platform as we apply new technologies and scale our systems.  
• Learn quickly and be able to adopt the technologies we use to develop code and deploy it to Kubernetes.  
• Contribute to sprint planning and be able to demo the features you’ve worked on to stakeholders.
• Be responsible for the quality of your code and will be expected to write tests and take ownership of systems that ensure the quality of our code.
• Adopt best practices (and be able to suggest improvements to them), to get code from initial requirements to deployed services in production.

Our Tech Stack:

• Our technology stack is designed to run on public cloud architectures, notably AWS and GCP. 
• Development is organized around Kotlin for our backend services. 
• We make substantial use of relational database technologies, notably Postgres, and also use of  a distributed SQL database as Yugabyte.
• We also use an event-sourced model powered by Kafka for our communication bus and gRPC for our intra-service communication protocol.
• We use modern observability solutions built on Grafana Cloud, and deploy our code using ArgoCD.

We have a strong emphasis on engineering excellence and strive to ship the best possible code and the best possible solutions to our customers.

About you:

As a Junior Software Engineer, you will have:

• Motivated in writing production-grade applications and in writing unit tests and understand the importance of testing
• Interested in working with large scalable systems 
• It would be nice if you had exposure working in a multi-disciplinary team (ML Engineers and Product)
• Fascinated by working in cloud (AWS/Azure/GCP) or containerized infrastructure (Kubernetes/Docker/Jenkins) would be great;
• Want to explore an agile environment and understand how valuable pair programming is to Engineering practices.

Education: 

• BSc/BA degree in computer science, engineering or related discipline OR relevant years of experience in required skills.

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy - A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development 

At Talkdesk, we are courageous innovators focused on redefining customer experience, making the impossible possible for companies globally. We champion an inclusive and diverse culture representative of the communities in which we live and serve. We give back to our community by volunteering our time, supporting non-profits, and minimizing our global footprint. Each day, thousands of employees, customers, and partners around the world trust Talkdesk to deliver a better way to great experiences.

Our Engineering teams follow a micro-service architecture approach to build the next generation of Talkdesk, with autonomous vertical teams owning their services end to end. We promote agile and collaborative practices, value peer reviews, and believe that true authority comes from knowledge, not position. Respect, curiosity, and continuous learning are core to how we work.

Are you passionate about breaking things to make them safer?

As a Security Engineer focused on Pentesting, Incident Response, and Security Investigations, you will play a key role in detecting, investigating, and preventing security incidents while proactively identifying weaknesses across our platforms and applications.

What you’ll do

Depending on your profile and experience, your responsibilities may include:

• Perform manual and automated penetration testing of web applications, APIs, cloud-based systems, and AI/ML models.
• Conduct security assessments of AI-driven features, focusing on risks like prompt injection, data leakage, and adversarial attacks.
• Conduct security investigations to identify root causes, attack paths, and impact of security incidents.
• Lead or actively participate in incident response, including detection, containment, eradication, and post-incident reviews.
• Analyze logs, telemetry, and forensic artifacts to support investigations and threat hunting activities.

• Triage, validate, and prioritize findings from internal and external penetration tests.
• Work closely with engineering teams to explain vulnerabilities, recommend pragmatic remediations, and verify fixes.
• Support the development and improvement of incident response playbooks and processes.
• Perform threat modeling (e.g., STRIDE) to identify realistic attack scenarios.
• Continuously research emerging threats, attack techniques, and exploitation methods relevant to our environment, including the evolving AI threat landscape.
• Act as a security subject-matter expert (SME) during incidents and high-risk technical discussions.
• Help improve Talkdesk’s overall security posture through lessons learned and proactive testing.

Must have

• Strong knowledge of application and systems security
• Solid understanding of web technologies, networking, and common attack vectorsPractical experience with penetration testing tools and techniques
• Experience with the OWASP Top 10 for LLMs and common AI exploitation patterns
• Experience conducting security investigations and incident responseUnderstanding of OWASP Top 10 and common exploitation patterns

• Knowledge of cryptographic concepts and their practical use (and misuse)
• Linux/Unix proficiency
• Experience analyzing logs and security events
• Scripting or coding experience in at least one general-purpose language (e.g., Python, Ruby, Java)
• Excellent written and verbal communication skills, with the ability to explain complex security issues clearly
• Fluent in English (written and spoken)
• Strong analytical and critical-thinking skills
• Comfortable working in fast-paced, sometimes high-pressure situations

Nice to have

• Experience testing cloud-native environments, especially AWS
• Familiarity with microservices architectures and API security
• Experience with web and mobile application security testing
• Exposure to DAST, SAST, or IAST tools (hands-on or triage-focused)
• Experience performing application architecture security reviews
• Familiarity with security standards and frameworks (e.g., ISO 27001, NIST, CIS, OWASP, SANS)
• Relevant certifications such as OSCP, OSWE, GSEC, GCIA, CISSP, or CISM
• Familiarity with technologies like Git, Ruby, Kotlin, RabbitMQ, Redis, MongoDB, or PostgreSQL

As a Machine Learning Platform Engineer at Iterable, you will design, evolve, and maintain our core ML infrastructure and the paved roads on which we build intelligence into our product. As a high tech marketing platform, we work with thousands of high scale and diverse enterprise customers. The scale and diversity of these workloads, supporting personalization with deep customizability, presents unique and exciting challenges for platform engineering. 

One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

What You’ll Do

• Lead the end-to-end development of ML pipelines, from prototyping and experimentation through to production deployment, enabling AI-powered features at scale.
• Design, build, and maintain the core infrastructure that powers our ML services (e.g., Databricks, AWS, Ray, Kubernetes).
• Develop robust observability and experimentation frameworks to ensure reliable model deployment, monitoring, and continuous iteration.
• Partner closely with Data Science teams, treating the ML Platform as a product—removing infrastructure bottlenecks and empowering them to deliver high-quality models efficiently and confidently.

What We’re Looking For

• 3+ years of experience in backend and/or infrastructure engineering.
• Strong experience with infrastructure-as-code practices (e.g., Pulumi, Terraform, CloudFormation).
• Experience working with service-oriented architectures and integrating ML services into high-scale backend systems.

Nice to Have

• Hands-on experience building and operating ML pipelines, including traditional recommender systems and modern deep learning training and serving systems.

What we offer 

• Competitive salaries & meaningful equity
• Private Medical Insurance
• Life/Risk Assurance
• Meal Allowance: 8.55€ per day
• Community Days (days for us to give back to the community) 
• Paid Annual Leave (22 days)
• Global Lifestyle Reimbursement Account
• Paid Sabbatical
• Complete laptop workstation

The Product Team builds our product to disrupt the RiskOps/financial crime industry from a data-led approach. We partner with our clients using a holistic lens and have result-driven solutions to manage financial risk with a cloud-first platform and a world-class user experience. Being part of this team, you have a voice in planning, strategizing, and challenging the status quo. Your thoughts and ideas are valued. Our fast-paced and open environment encourages us to lean in, try new things, and discover our potential. We define and act on what could be in tomorrow's world, not on what is today.

#LI-Remote #LI-MG3

Role Overview:

Netskope is seeking a high-caliber Privacy Engineering Staff Engineer to bridge the gap between legal compliance, data protection technology, and core product engineering. This is a dual-impact role: you will be responsible for the technical "Privacy by Design" controls for the Netskope platform while serving as a strategic deputy to the Global Privacy & Data Protection Officer (DPO).

As the Strategic Deputy to the Global Privacy & Data Protection Officer (DPO), you move beyond task completion to achieve high-level organizational influence.

• Global Compliance Strategy: Support the execution of a multi-jurisdictional privacy program that anticipates the rapid evolution of global data protection laws.
• Board & Audit Influence: Translate complex technical privacy risks into compelling, quantifiable narratives for the Audit Committee and Board of Directors.
• Risk Governance: Oversee the operational maturity of our privacy program within LogicGate, ensuring a closed-loop system of accountability, audit readiness, and incident response.
• DPIA & Rights Leadership: Act as the technical authority for high-risk Data Protection Impact Assessments (DPIAs) and ensure our Data Subject Rights (DSAR) engine operates at optimal efficiency.

You will be the lead privacy architect ensuring that Netskope’s innovation is inherently respectful of data.

• Component Design Review: Lead the privacy-first technical review of every new component within the Netskope platform, engaging with engineering at the "whiteboard phase" to eliminate risks before they reach production.
• PET Implementation: Direct the integration of Privacy Enhancing Technologies (PETs) such as differential privacy, homomorphic encryption, and k-anonymity into the Netskope product suite.
• AI Governance Leadership: Hold a seat on the AI Governance Committee whilst supporting the AI Ambassador program to ensure that AI innovations are built on a foundation of responsible data use.
• Technical Data Defense: Enhance DLP, DSPM, and AI/ML-driven security within our AWS and corporate environments to set the "Gold Standard" for internal data protection.

Key Responsibilities

Product Privacy Engineering & PETs

• Architectural Oversight: Review all new component designs within the Netskope platform to ensure structural compliance with "Privacy by Design" principles.
• PET Integration: Lead the design and implementation of Privacy Enhancing Technologies (PETs) such as differential privacy, homomorphic encryption, or k-anonymity within Netskope product features.
• Early Engagement: Act as a dedicated privacy consultant to product engineering teams during the ideation phase to identify and mitigate privacy risks before code is written.

Deputy Data Protection Officer (DPO) Functions

• Regulatory Support: Support the DPO in managing multi-jurisdictional compliance as the number of global privacy laws continues to rise.
• DPIA Leadership: Conduct and oversee Data Protection Impact Assessments (DPIAs) for high-risk processing activities, ensuring they meet the standard of global regulations.
• Privacy Leadership: Engagement with Netskope customers and partners on privacy and data protection concerns. Provide executive leadership to CISO, Legal and Privacy teams for some of the largest and most prestigious organizations in the world.

Technical Data Protection & AI Governance

• Advanced Controls: Utilize DLP (Data Loss Prevention) and DSPM (Data Security Posture Management) to secure the corporate data lifecycle.
• AI/ML Security: Implement data protection strategies specifically for AI/ML workloads, managing risks associated with training data and model inference.
• AI Advocacy: Serve on the AI Governance Committee and support the AI Ambassador program, fostering a culture of responsible AI use across the organization.

Platform Management

• LogicGate Administration: Manage and optimize the privacy module within LogicGate to track risks, audits, and compliance tasks.
• Netskope Corp Tenant: Take administrative responsibility of the Netskope corporate tenant’s privacy controls, ensuring our own use of the platform is a "Gold Standard" for customers.

Technical Requirements

• AWS Cloud Expertise:
• Cloud-Native Data Protection
• Infrastructure Security
• DSPM Integration.
• Software Engineering Fundamentals.
• API
• Data Architecture Knowledge
• AI/ML

Leadership Competencies & Soft Skills

• Strategic Influence: Ability to translate complex technical privacy risks into business-level impacts for the Audit Committee and Executive Leadership.
• Collaborative Engineering: Proven track record of building "security-first and privacy-first" cultures within engineering teams without slowing down the development lifecycle.
• Ethical Leadership: Strong judgment and integrity, particularly when serving on the AI Governance Committee to balance innovation with ethical data use.
• Stakeholder Management: Excellent communication skills to manage relationships with third-party vendors, legal counsel, and regulators.

Candidate Profile & Qualifications

• Experience: 5+ years in senior technical roles, preferably with a background in security engineering, privacy engineering, or data governance.

#LI-CS1

The Customer Success Engineering team works directly with clients to ensure that every technical aspect of our product—installation, configuration, and customization—is delivered smoothly and at the highest standard. We act as technical consultants, helping clients solve complex and unique challenges. Our team is dynamic, persistent, and committed to delivering a world-class experience. If you’re excited about being a client-facing engineer who makes a real impact, this is the opportunity for you.

You:

As a Senior Software Engineer in the Customer Success Department, you will be responsible for making sure our products are installed and meet our clients requirements with integration and performance management. You will work with a broad range of technologies including multiple flavours of SQL, NoSQL database, on-premise environments, Cloud environments (AWS, Azure, Google), along with multiple streaming or messaging systems (RabbitMQ, Kafka). While working with these technologies, you will help with installation and configuration of our solutions, but will also develop custom Java inbound and outbound interfaces, use web services to enhance data in process and will develop custom extensions and modules for our Fraud Analysis platform. You will work as part of a project team alongside Data Scientist, Project Managers, Fraud Analysts and your peers to meet with the client, understand their needs, turn those needs into requirements and execute on those requirements.

Your Day to Day:

• Execute full software development life cycle, including building integrations and enhancements to Feedzai core product;
• Write well-designed, testable code;
• Integrate multiple software components into a fully functional software system;
• Troubleshoot, debug and upgrade existing systems;
• Deploy and support systems in production;
• Comply with best practices and industry standards;
• Work with Agile principles to regularly deliver quality products;
• Ensure proper feature deployment or product upgrades;
• Provide Second Tier support for clients that are live;
• Mentor, coach and inspire other members of the team, helping to foster software development best practices.

You Have & You Know-how:

• A Bachelor of Science and or a Master of Science in Computer Science, a degree in a comparable field, or equivalent work experience;
• 4 + years of extensive work experience in Java software development;
• Thread and JVM Memory Management in high-performance systems;
• Client engagement experience and ability to act as a consultant to our clients;
• Excellent English communication skills, both verbal and written;
• Experience with Zookeeper, RabbitMQ, Cassandra, Ansible, Docker, Databases (nice to have).

The Customer Success Team is responsible for delivering our product to our clients. This includes education, configuration, solution development, and risk strategy to enable our clients to address their pain points. We collaborate with our clients to ensure they have the right solution, build out a strategy and training plan for them, and then support them through each phase of our client lifecycle. We grow at a fast clip and believe no challenge is too big or too small. Therefore, we have an open environment that encourages us to lean in, try new things, and discover our potential. Join us!

With Cloud at its core, the Engineering (Tech) Team is responsible for all Feedzai product development. Together with Product Management and Data Science, we build the next generation of tools to catch fraud in real-time with a machine learning first approach. Formed by engineers and managed by engineers, at Feedzai, you will find one of the most talented teams out there, from junior to senior engineers.

We are fast-paced and provide a safe, open, and collaborative environment that encourages us to lean in, try new things and discover our potential with continuous learning for everyone.  

While building the best value for our customers, you will work with a wide range of technical challenges. Such as building distributed systems that need to operate 24/7 and ultra-low latencies, solving UI/UX problems to help fraud analysts to fight fraud more efficiently. In addition, designing extensive databases from relational, NoSQL and graphs, and supporting data science techniques and algorithms. 

You:

The Feedzai Platform Data Reliability play a pivotal role in managing core data components within our cloud platform architecture, crucial for delivering top-notch services to both our customers and internal teams. You will collaborate with experienced engineers, leveraging your in-depth knowledge of Feedzai cloud products and environments. Your responsibilities will include establishing interfaces for data services, developing automations, and creating tooling that enhances the platform capabilities, ultimately contributing to faster and more agile product delivery.

Your Day to Day:

• Build and maintain Kubernetes Operators, including deployment, monitoring, operations, and analytics tools developed by the team.
• Engage in development tasks using Go, Java, or similar languages.
• Operate services such as Kafka, Elasticsearch, RabbitMQ, Redis, Relational databases and Couchbase at an enterprise scale.
• Contribute to the self-healing capabilities of applications in our enterprise environments.
• Develop playbooks associated with actionable alerts to streamline response procedures.
• Work with AI-assisted development tools (e.g. Cursor) as part of your daily workflow to ship faster and iterate effectively.
• Maintain and enhance our Infrastructure as Code (IaC) to efficiently manage end-to-end lifecycle operations (monitoring, alerting, security, cost optimization, configuration, backup, etc.) in production environments.
• Utilize your experience and problem solving skills to help prevent and investigate production issues.

You Have & You Know-How:

• A bachelor's degree in Computer Science, Information Systems, or the equivalent combination of education, experience, and training.
• 4+ years of experience in data reliability, platform engineering, or operating data services at scale.
• Proficiency in programming languages such as Go, Java, or similar.
• Hands-on experience with Container Technologies and Orchestration (e.g., Docker, Kubernetes).
• Valuable experience with data streaming and messaging platforms, like Kafka, Elasticsearch, RabbitMQ.
• Familiarity with CI/CD pipelines and tools such as Jenkins, Gitlab, or similar.
• Demonstrated commitment to staying updated with industry trends and emerging technologies, showcasing a proactive approach to continuous learning.
• Demonstrated knowledge of best practices in security, ensuring the implementation of secure coding standards.
• Experience working with Cloud Providers, with a preference for AWS Cloud.
• Expertise in utilizing monitoring and observability stacks like Grafana and Prometheus.
• Proficiency in Infrastructure-as-Code (IaC) practices and knowledge or experience in tools like Terraform, Pulumi, Ansible, and Crossplane.
• Self-driven, motivated, with a strong work ethic, and a passion for creative problem-solving.

Preferred Qualifications and Skills: 

• Excellent communication skills both written and verbal;
• Comfort with AI-augmented development tools (e.g. Cursor);
• Kubernetes, Cloud and Hashicorp certifications or equivalent are valued.
• Knowledge of GitOps tools such as FluxCD and Argo CD.

The Product Team builds our product to disrupt the financial crime industry from a data-led approach. We partner with our clients using a holistic lens and have result-driven solutions to manage financial risk with a cloud-first platform and a world-class UX interface. Being part of this team, you have a voice in planning, strategising, and challenging the status quo. Your thoughts and ideas are valued. Our fast-paced and open environment encourages us to lean in, try new things, and discover our potential. We define and act on what could be in tomorrow's world, not on what is today. Join Us!

The Engineering (Tech) Team is responsible for all Feedzai product development. Together with Product Management and Data Science, we build the next generation of tools to catch fraud in real-time with a machine learning first approach. Formed by engineers and managed by engineers, at Feedzai, you will find one of the most talented teams out there, from junior to senior engineers.

We are fast-paced and provide a safe, open, and collaborative environment that encourages us to lean in, try new things and discover our potential with continuous learning for everyone.  

While building the best value for our customers, you will work with a wide range of technical challenges. Such as building distributed systems that need to operate 24/7 and ultra-low latencies, solving UI/UX problems to help fraud analysts to fight fraud more efficiently. In addition, designing extensive databases from relational, NoSQL and graphs, validate and develop new data science techniques and algorithms.

You:

You are a passionate professional with the talent to push engineering excellence, challenge the status quo, and lead by example. You excel by being a catalyst for clarity, engaging key stakeholders, and driving scalable technical solutions that align with our business goals. 

You have a critical mindset and the ability to mentor others, ensuring the team delivers high-quality, production-ready mobile software with minimal oversight. On a daily basis, you’ll have the chance to work on subjects such as High-Performance Mobile SDKs, Security, and Scalability.

Your Day to Day:

• Own the end-to-end delivery of robust SDKs, from architectural design to production-ready deployment, ensuring they scale predictably in high-stakes environments;
• Solve high-complexity technical challenges with significant autonomy, making the critical trade-offs between development speed and long-term software quality;
• Champion engineering excellence by mentoring peers and raising the bar for design reviews, code quality, and mobile best practices;
• Liaise with cross-functional stakeholders to translate customer needs into technical mobile solutions that maximize business impact and user experience;

You Have & You Know-how:

• BSc/MSc degree in Computer Science or a similar technical degree;
• 5+ years of experience in developing and delivering advanced mobile applications;
• Mastery of the Android ecosystem, from high-level app architecture in Kotlin and/or Java to low-level OS internals and security frameworks.
• Experience with Mobile CI/CD and Automation (e.g., Gitlab, Jenkins, or Bitrise) to ensure predictable, high-quality releases.
• Extreme Ownership mindset, proactively seeking context and driving tasks to completion with growing autonomy.
• We also value experience in the following topics:
• Designing and creating frameworks or SDKs for mobile applications;
• Native app writing ability for iOS environments (Swift/Objective-C);
• Knowledge in Cross-platform tools (Cordova, Xamarin, and Flutter) and Typescript;
• Good technical English communication skills. 

The Product Team builds our product to disrupt the financial crime industry from a data-led approach. We partner with our clients using a holistic lens and have result-driven solutions to manage financial risk with a cloud-first platform and a world-class UX interface. Being part of this team, you have a voice in planning, strategizing, and challenging the status quo. Your thoughts and ideas are valued. Our fast-paced and open environment encourages us to lean in, try new things, and  discover our potential. We define and act on what could be in tomorrow's world, not on what is today. Join Us!

#LI-Remote #LI-LS1

The Security Team keeps Feedzai products and systems secure. We work on risk reduction and security issue mitigation as we continue to move forward and grow. We maintain compliance and security best practices aligned with industry standards, as we work in a very regulated environment and do develop our own software and services. The Security Team is involved from the beginning of production to meet and exceed our client expectations and be the top SME in the industry. We run our own Security Operations Center services and incident response with state of the art tools. We are dynamic, tenacious, and driven by our passion for fighting financial fraud and crime with our socially responsible products. Join Us!

You:

We are looking for a Senior Security Compliance Engineer. You will be responsible for making sure that both our software & our infrastructure is safe, helping to protect our customers. 

Your Day to Day:

• Ensure compliance with core applicable standards and regulations (PCI DSS, ISO/IEC 27001 and 27701, SOC 2, NIST, GDPR) & participate in the audit processes;
• Support clients, vendors, and regulatory audits, assessments, and information security requests;
• Review, implement and oversight the effectiveness of Feedzai's security framework as well as ensuring their effectiveness;
• Perform security risk assessments and provide prioritized remediation recommendations;
• Develop, review, and maintain policies, processes, and standards and implement procedures, controls, and other measures to ensure compliance with internal and legal regulations and requirements.

You have & You Know-How

• Knowledge of compliance and regulatory frameworks (PCI DSS, ISO/IEC 27001, SOC 2, NIST, CIS, GDPR, etc.);
• Understanding of cloud security concepts (e.g.: Amazon Web Services (AWS) IAM, GCP or Azure security principles, etc.) and integrating security controls through DevOps and Infrastructure as a Service (IaaS) techniques;
• Excellent communication skills (written and verbal) with an ability to articulate complex topics in a clear and concise manner.
• Knowledge of container orchestration systems such as Kubernetes is welcomed.
• Experience working with Generative AI (GenAI) tools is a plus.

 #LI-Remote #LI-MG3

With Cloud at its core, the Engineering (Tech) Team is responsible for all Feedzai product development. Together with Product Management and Data Science, we build the next generation of tools to catch fraud in real-time with a machine learning first approach. Formed by engineers and managed by engineers, at Feedzai, you will find one of the most talented teams out there, from junior to senior engineers.

We are fast-paced and provide a safe, open, and collaborative environment that encourages us to lean in, try new things and discover our potential with continuous learning for everyone.  

While building the best value for our customers, you will work with a wide range of technical challenges. Such as building distributed systems that need to operate 24/7 and ultra-low latencies, solving UI/UX problems to help fraud analysts to fight fraud more efficiently. In addition, designing extensive databases from relational, NoSQL and graphs, and supporting data science techniques and algorithms. 

You

The Platform Engineering Compute team is responsible for the overall cloud platform architecture that supports the cloud services provided to our customers and internal developers. As a Professional Platform Engineer you will own meaningful areas of our platform, contribute to design decisions, and help improve our automation and tooling. You'll work with other platform engineers to develop and maintain the systems that support Feedzai's cloud service and enable faster, more nimble product delivery.

Your Day to Day

• Design, build, and maintain Kubernetes Operators and platform services, including deployment, monitoring, and operations.
• Develop in Go or similar languages, following team standards and contributing to best practices.
• Automate cloud infrastructure and incident response; improve self-healing and reliability.
• Develop and refine playbooks, runbooks, and alerting to streamline response procedures.
• Maintain and improve the product deployment pipeline and GitOps practices (e.g. FluxCD, Argo CD).
• Participate in incident response, root cause analysis, and resolution; contribute to post-incident improvements.
• Work with AI-assisted development tools (e.g. Cursor) as part of your daily workflow to ship faster and iterate effectively.
• Maintain and extend Infrastructure as Code (IaC) and platform lifecycle (monitoring, alerting, security, cost, configuration, backup) in production.
• Help improve developer experience and platform capabilities for product teams.

You Have & You Know-How

• A bachelor's degree in Computer Science, Information Systems, or the equivalent combination of education, experience, and training.
• 2+ years of hands-on experience in platform engineering, DevOps, or cloud infrastructure.
• Strong programming skills in Go, Java, or similar, with experience building and maintaining systems.
• Hands-on experience with container technologies and orchestration (Docker, Kubernetes).
• Experience with CI/CD (e.g. Jenkins, GitLab) and GitOps tools (e.g. FluxCD, Argo CD).
• Experience working with at least one major cloud provider (AWS or GCP) and cloud-native patterns.
• Experience with monitoring and observability (e.g. Grafana, Prometheus).
• Experience with Infrastructure-as-Code (e.g. Terraform, Crossplane) and platform lifecycle management.
• Self-driven, collaborative, and motivated to learn and improve how we build and run the platform.

Preferred Qualifications and Skills

• Excellent communication skills, both written and verbal.
• Comfort with AI-augmented development tools (e.g. Cursor) and willingness to adopt new tooling.
• Kubernetes, cloud, or programming certifications or equivalent are valued.

The Product Team builds our product to disrupt the financial crime industry from a data-led approach. We partner with our clients using a holistic lens and have result-driven solutions to manage financial risk with a cloud-first platform and a world-class UX interface. Being part of this team, you have a voice in planning, strategising, and challenging the status quo. Your thoughts and ideas are valued. Our fast-paced and open environment encourages us to lean in, try new things, and discover our potential. We define and act on what could be in tomorrow's world, not on what is today. Join Us!

#LI-Remote #LI-LS1

With Cloud at its core, the Engineering (Tech) Team is responsible for all Feedzai product development. Together with Product Management and Data Science, we build the next generation of tools to catch fraud in real-time with a machine learning first approach. Formed by engineers and managed by engineers, at Feedzai, you will find one of the most talented teams out there, from junior to senior engineers.

We are fast-paced and provide a safe, open, and collaborative environment that encourages us to lean in, try new things and discover our potential with continuous learning for everyone.  

While building the best value for our customers, you will work with a wide range of technical challenges. Such as building distributed systems that need to operate 24/7 and ultra-low latencies, solving UI/UX problems to help fraud analysts to fight fraud more efficiently. In addition, designing extensive databases from relational, NoSQL and graphs, and supporting data science techniques and algorithms. 

You:

The Platform Network team is responsible for the overall network architecture that supports the Feedzai Cloud delivered to both our customers and internal developers. As part of this team you'll collaborate with other platform engineers who have deep expertise in our cloud products and environments. You'll help develop and maintain the automation, tooling, and platforms that ensure our network infrastructure delivers reliable, secure, and high-performance connectivity, contributing to faster and more resilient product delivery.

Your Day to Day:

• Help maintain and extend Infrastructure-as-Code (IaC) network modules and components, including the Network Hub (VPCs, Transit Gateway routing, peering).
• Support the design and implementation of cloud network infrastructure and connectivity across providers.
• Help implement network solutions that keep connections authorized, authenticated, and auditable.
• Monitor network performance, assist in troubleshooting, and help ensure reliability and compliance with SLAs.
• Build and maintain Kubernetes Operators with the team, including deployment, monitoring, and operations.
• Contribute to development tasks using Go or similar programming languages.
• Automate aspects of cloud infrastructure and incident response; participate in incident response and root cause analysis.
• Work with AI-assisted development tools (e.g. Cursor) as part of your daily workflow to ship faster and iterate effectively.

You Have & You Know-How:

• A bachelor's degree in Computer Science, Information Systems, or the equivalent combination of education, experience, and training.
• Programming skills in languages such as Go, Java, or similar.
• Familiarity or interest in networking concepts: VPCs, VNets, VPNs, routing, and cloud network design.
• Hands-on experience or strong learning ability with container technologies and orchestration (e.g. Docker, Kubernetes).
• Familiarity with CI/CD pipelines (e.g. Jenkins, GitLab) and GitOps tools (e.g. FluxCD, Argo CD).
• Knowledge or experience working with at least one cloud provider (AWS, GCP, or Azure).
• Knowledge or experience with monitoring and observability (e.g. Grafana, Prometheus).
• Knowledge or experience with Infrastructure-as-Code (e.g. Terraform, Crossplane).
• Self-driven, motivated, with a strong work ethic, and a passion for learning and creative problem-solving.

Preferred Qualifications and Skills: 

• Excellent communication skills, both written and verbal.
• Comfort with AI-augmented development tools (e.g. Cursor) and willingness to adopt new tooling.
• Kubernetes, Cloud, CCNA/CCNP or equivalent certifications are valued.

The Product Team builds our product to disrupt the financial crime industry from a data-led approach. We partner with our clients using a holistic lens and have result-driven solutions to manage financial risk with a cloud-first platform and a world-class UX interface. Being part of this team, you have a voice in planning, strategising, and challenging the status quo. Your thoughts and ideas are valued. Our fast-paced and open environment encourages us to lean in, try new things, and discover our potential. We define and act on what could be in tomorrow's world, not on what is today. Join Us!

#LI-Remote #LI-LS1

The Security Team keeps Feedzai products and systems secure. We work on risk reduction and security issue mitigation as we continue to move forward and grow. We maintain compliance and security best practices aligned with industry standards, as we work in a very regulated environment and do develop our own software and services. The Security Team is involved from the beginning of production to meet and exceed our client expectations and be the top SME in the industry. We run our own Security Operations Center services and incident response with state of the art tools. We are dynamic, tenacious, and driven by our passion for fighting financial fraud and crime with our socially responsible products. Join Us!

You

You’ll be working with a team that's responsible for the security across all ongoing initiatives, products, processes and applications at Feedzai. This will be a very senior role within this team, someone able to work across teams and coach other more junior team members also.

Your day–to–day

• Design and architect robust security controls with 'secure by default' principles, ensuring long-term maintainability and systemic incident resilience across the organization;
• Review technical designs to identify security weaknesses and provide assistance on how to address them;
• Provide subject matter expertise on security across ongoing initiatives to the organization;
• Lead the technical execution of multi-team security initiatives, influencing cross-team priorities and aligning technical roadmaps with direct business impact;
• Work closely with other functional areas and/or departments in the identification of requirements and designing of solutions;
• Produce high-quality narratives and investment cases supported by facts and data, translating complex security challenges into comprehensive business language for company-wide stakeholders;
• Perform internal and external penetration tests, ensuring timeliness and accuracy of reports;
• Assist in the support of compliance with core applicable standards and regulations (PCI DSS, ISO/IEC 27001, SOC 2, NIST, CIS, GDPR) and participate in the audit processes.

Your Have & You Know-How

• Willingness to learn and to stay up-to-date with the state of the art;
• Break things attitude, so that we can improve (hacker-type of attitude);
• Expert knowledge across web, application, hardware & network security;
• Solid understanding of encryption, key management & distribution;
• Extensive knowledge and experience with cloud service providers such as AWS, Azure, or GCP;
• Extensive knowledge with Kubernetes security;
• Knowledge of PCI DSS, ISO/IEC 27001, NIST, CIS, and GDPR standards and regulations preferred;
• Strong business and financial acumen, with the ability to understand the economic implications (cost efficiency, operational burden, time-to-value) of security engineering decisions;
• 4+ years of relevant professional experience;
• Demonstrated experience developing, deploying, and monitoring secure systems;
• Demonstrated experience implementing AI-driven approaches to optimize security workflows and leading the adoption of new AI technologies;
• Global experience in leading and supporting cross-functional projects, interacting effectively with all levels of the company;
• Track record of managing projects with quality, detail, and consistency;
• Background in engineering with a deep passion for making all things secure;
• Excellent communication skills (written and verbal) with an ability to articulate complex topics in a clear and concise manner.

 #LI-Remote #LI-MG3

With Cloud at its core, the Engineering (Tech) Team is responsible for all Feedzai product development. Together with Product Management and Data Science, we build the next generation of tools to catch fraud in real-time with a machine learning first approach. Formed by engineers and managed by engineers, at Feedzai, you will find one of the most talented teams out there, from junior to senior engineers.

We are fast-paced and provide a safe, open, and collaborative environment that encourages us to lean in, try new things and discover our potential with continuous learning for everyone.  

While building the best value for our customers, you will work with a wide range of technical challenges. Such as building distributed systems that need to operate 24/7 and ultra-low latencies, solving UI/UX problems to help fraud analysts to fight fraud more efficiently. In addition, designing extensive databases from relational, NoSQL and graphs, and supporting data science techniques and algorithms. 

You

The Platform Engineering Compute team is responsible for the overall cloud platform architecture that supports the cloud services provided to our customers and internal developers. As an Advanced Platform Engineer you will lead initiatives, own critical platform capabilities, and help shape our cloud strategy. You'll work with other platform engineers and stakeholders to design and deliver the automation, tooling, and platforms that support Feedzai's cloud service, while mentoring others and contributing to a faster, more nimble product delivery.

Your Day to Day

• Lead the design, implementation, and evolution of Kubernetes Operators and platform services, including deployment, monitoring, and operations.
• Drive development in Go or similar languages, setting standards and best practices for the team.
• Own and evolve automation for cloud infrastructure and incident response, and champion self-healing and reliability improvements.
• Define and improve playbooks, runbooks, and alerting strategies to streamline response and reduce toil.
• Own and advance the product deployment pipeline and GitOps practices (e.g. FluxCD, Argo CD).
• Lead or coordinate incident response, root cause analysis, and post-incident reviews; drive preventive measures.
• Work with AI-assisted development tools (e.g. Cursor) as part of your daily workflow to ship faster and iterate effectively.
• Own and extend Infrastructure as Code (IaC) and platform lifecycle (monitoring, alerting, security, cost, configuration, backup) in production.
• Contribute to developer experience and internal platform capabilities so product teams can ship with less friction.
• Mentor engineers and share knowledge through documentation, pair programming, and technical guidance.

You Have & You Know-How

• A bachelor's degree in Computer Science, Information Systems, or the equivalent combination of education, experience, and training.
• 6+ years of hands-on experience in platform engineering, DevOps, or cloud infrastructure.
• Strong programming skills in Go, Java, or similar, with a track record of designing and delivering maintainable systems.
• Deep experience with container technologies and orchestration (Docker, Kubernetes), including operator development or ecosystem tooling.
• Proven experience with CI/CD (e.g. Jenkins, GitLab) and GitOps (e.g. FluxCD, Argo CD).
• Substantial experience with at least one major cloud provider (AWS, GCP, Azure) and familiarity with cloud-native patterns.
• Strong experience with monitoring and observability (e.g. Grafana, Prometheus) and using data to drive reliability and performance.
• Solid experience with Infrastructure-as-Code (e.g. Terraform, Crossplane) and platform lifecycle management.
• Track record of leading projects, driving technical decisions, and mentoring others.
• Self-driven, collaborative, and motivated to improve how we build and run the platform.

Preferred Qualifications and Skills: 

• Excellent communication skills, both written and verbal; ability to explain technical trade-offs and influence stakeholders.
• Comfort with AI-augmented development tools (e.g. Cursor) and enthusiasm for adopting new tooling.
• Kubernetes, cloud, or programming certifications or equivalent are valued.
• Experience with internal developer platforms or platform-as-product thinking is a plus.

The Product Team builds our product to disrupt the financial crime industry from a data-led approach. We partner with our clients using a holistic lens and have result-driven solutions to manage financial risk with a cloud-first platform and a world-class UX interface. Being part of this team, you have a voice in planning, strategising, and challenging the status quo. Your thoughts and ideas are valued. Our fast-paced and open environment encourages us to lean in, try new things, and discover our potential. We define and act on what could be in tomorrow's world, not on what is today. Join Us!

#LI-Remote #LI-MG3

We are always looking for talented  Software Engineers to join our team. This is an evergreen role, meaning we hire for this role continuously across multiple seniority levels and for various teams. Applying here ensures you are considered as new positions open. The timeline and specific team-matching may vary; an opening could be immediate, or we may find a great fit for you on a team in the coming weeks. We will be transparent about timelines throughout the process.

You:

Feedzai sells and implements one the the world's leading Fraud Risk Scoring systems. We work with some of the largest banks and financial firms to help protect them from transaction fraud, money laundering, and account takeover.
As a Software Engineer in the Customer Success organisation you will be responsible for making sure our products are installed and meet our clients requirements with integration and performance management. You will work with a broad range of technologies including multiple flavours of SQL, NoSQL database, on-premise environments, Cloud environments (AWS, Azure, Google), along with multiple streaming or messaging systems (RabbitMQ, Kafka). The software engineer while working with these technologies will help with installation and configuration of our solutions, but will also develop custom Java inbound and outbound interfaces, use web services to enhance data in process and will develop custom extensions and modules for our Fraud Analysis platform. You will work as part of a project team alongside Data Scientist, Project Managers, Fraud Analysts and your peers to meet with the client, understand their needs, turn those needs into requirements and execute on those requirements.

Your Day to Day:

• Execute full software development life cycle building integrations and enhancements to Feedzai core product;
• Write well-designed, testable code;
• Integrate multiple software components into a fully functional software system;
• Troubleshoot, debug and upgrade existing systems;
• Deploy and support systems in production;
• Comply with best practices and industry standards;
• Work with Agile principles to regularly deliver quality products;
• Ensure proper feature deployment or product upgrades;
• Provide Second Tier support for clients that are live;

You Have & You Know-how:

• A BS or MS in computer science, or a comparable field, or equivalent experience;
• Experience in Java software development or other modern language;
• Experience with SQL or NoSQL databases;
• Experience with Cloud technologies (AWS, Azure, GCP)
• Client engagement experience and ability to work with a client in a consultative manner;
• Excellent English communication skills, both verbal and written;
• Availability to travel up to 15%;

The Customer Success Team is responsible for delivering our product to our clients. This includes education, configuration, solution development, and risk strategy to enable our clients to address their pain points. We collaborate with our clients to ensure they have the right solution, build out a strategy and training plan for them, and then support them through each phase of our client lifecycle. We grow at a fast clip and believe no challenge is too big or too small. Therefore, we have an open environment that encourages us to lean in, try new things, and discover our potential. 

With Cloud at its core, the Platform Engineering area supports our product development life cycle, from development through testing and deployment to operations and maintenance, enabling a DevOps way of working. Formed by engineers and managed by engineers, at Feedzai, you will find one of the most talented teams out there, from junior to senior engineers.

While building the best value for our customers, you will work with a wide range of technical challenges. Such as building distributed systems that need to operate 24/7 with ultra-low latencies, plus cooperating with other teams towards high performance and reliability. 

We are fast-paced and provide a safe, open, and collaborative environment that encourages us to lean in, try new things and discover our potential with continuous learning for everyone.  

You:

If you are passionate about distributed systems, performance, reliability on cloud environments and like challenges of low latencies and high throughput systems, this may be the job for you.

You’ll be part of Feedzai Platform Engineering Performance & Reliability team. Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. As part of this team you’ll have the opportunity to manage the complex challenges of scale which are unique to Feedzai Fraud detection mission, while working with talented platform engineers in complexity analysis and large-scale system design, developing the automation, tooling and platforms that support Feedzai top notch cloud service.

Your Day to Day:

• Provide recommendations about capacity allocation considering cost, resilience and performance.
• Work together with product teams to support best practices and drive improvements on systems performance and reliability before and after they go live;
• Development with Go, Python or similar languages;
• Automate all aspects of cloud infrastructure and incident response;
• Develop playbooks related to actionable alerts;
• Participate in incident response, root cause investigation and resolution;
• Maintain and develop our infrastructure as code (IaC) to manage and operate end-to-end lifecycle operations (monitoring, alerting, security, cost optimization, configuration, backup, etc.) in production environments;
• Utilize your experience and problem solving skills to help prevent and investigate production issues.

You Have & You Know-How:

• A bachelor's degree in Computer Science, Information Systems, or the equivalent combination of education, experience, and training;
• Programming skills (Go, Python or similar languages);
• 3+ years of experience in data structures, algorithms, programming, asynchronous & multithreaded designs
• 3+ years of experience with building scalable and distributed cloud services
• 3+ years operating production environments
• 2+ years of experience in cross team collaboration within a supportive role
• Self-driven & motivated, with a strong work ethic and a passion for problem solving;
• Systematic problem-solving approach, coupled with effective verbal and written communication skills.
• Experience being oncall.

Preferred/Valued Qualifications and Skills: 

• Experience with monitoring & Observability stacks such as Grafana and Prometheus;
• Kubernetes, Cloud and Hashicorp experience is valued;
• Knowledge or experience with AWS or GCP.
  
  

The Product Team builds our product to disrupt the financial crime industry from a data-led approach. We partner with our clients using a holistic lens and have result-driven solutions to manage financial risk with a cloud-first platform and a world-class UX interface. Being part of this team, you have a voice in planning, strategising, and challenging the status quo. Your thoughts and ideas are valued. Our fast-paced and open environment encourages us to lean in, try new things, and discover our potential. We define and act on what could be in tomorrow's world, not on what is today. Join Us!

#LI-Remote #LI-LS1