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data & ml infrastructure engineer Jobs in Amsterdam

data & ml infrastructure engineer

platform engineer

distributed systems engineer

Together AI

<div>
 
 About The Role
 
 
 
 Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure.
 
 
 As a Lead/Manager, you will play a key role in building the Together cloud platform engineering team in the Netherlands.
 
 
 We are a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal SaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world.
 
 
 
 Some Of What You&rsquo;ll Work On
 
 
 
 <ul>
 <li>
 Work on a distributed GPU scheduling system for the on-demand clusters product, Instant Clusters.
 </li>
 <li>
 Build out a global management plane for managing our data center compute, networking, and storage.
 </li>
 <li>
 Design and build new customer-facing cloud platform services, delivering killer enterprise AI cloud features.
 
 
 </li>
 </ul>
 Hybrid working 2 days a week at our offices in Amsterdam
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead/Manage a team of 8 together cloud Infrastructure Engineer in Amsterdam,
 </li>
 <li>
 Identify, design, and develop foundational backend services that power Together&rsquo;s commerce platform
 </li>
 <li>
 Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure
 </li>
 <li>
 Partner with product teams to understand functional requirements and deliver solutions that meet business needs
 </li>
 <li>
 Write clear, well-tested, and maintainable software and IaC for both new and existing systems
 </li>
 <li>
 Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance
 </li>
 <li>
 Participate in an on-call rotation to address critical incidents when necessary
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Ideally 1-2 years of leading the Infrastructure team.
 </li>
 <li>
 Demonstrable background in acquiring talent and retaining talent.
 </li>
 <li>
 5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems and API microservices
 </li>
 <li>
 Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources
 </li>
 <li>
 Excellent communication skills &ndash; able to write clear design docs and work effectively with both technical and non-technical team members
 </li>
 <li>
 Demonstrated experience with building and operating high-performance and/or globally distributed microservice architectures across one or more cloud providers (AWS, Azure, GCP)
 </li>
 <li>
 Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale
 </li>
 <li>
 Experience developing against and managing a relational database, such as PostgreSQL
 </li>
 <li>
 Expert-level programmer in one or more of programming language (Golang preferred)
 </li>
 <li>
 Proficiency in version control practices and integrating IaC with CI/CD pipelines.
 </li>
 <li>
 Experience with Kubernetes and containers preferred
 </li>
 <li>
 Experience building and operating data infrastructure (Kinesis, Airflow, Kafka, etc) a plus
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
 
 
 </li>
 </ul>
 
 About Together AI
 
 
 
 Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.
 
 
 
 Equal Opportunity
 
 
 
 Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
 
 
 Please see our privacy policy at https://www.together.ai/privacy
</div>

Lead/Manager Together Cloud Infrastructure

Tesla

<div>What to Expect<div>
We are looking for an experienced software engineer with experience in building backend services. This position will support ownership related applications, which includes supercharging, robotaxi, charging roaming, upgrades, subscriptions, tesla electric, tesla external APIs, AI agents and other tesla for business workflows. This is a backend engineering team focused on building distributed systems to power customer-facing interfaces including mobile apps, vehicles, and third-party platforms.</div> 
What You'll Do<div><ul><li>
In this role, your job responsibilities will include building our core services for new and existing features, as well triaging and maintaining automation across multiple products
</li><li>The position demands a self-motivated individual with strong technical and communication skills who can contribute in a cross-functional team environment</li><li>
You will be passionate about building the services, frameworks and tools for validating core components that are part of the platform</li><li>
Be nimble and react quickly to changing business conditions and priorities and leverage your existing skills while learning and implementing new technologies</li><li>
Provide technical leadership, driving and performing engineering best practices to initiate, plan, and execute large-scale, cross-functional, and company-wide critical programs</li></ul>
</div> 
What You'll Bring<div><ul><li>
Degree in Computer Science or related technical discipline with 4+ years of experience</li><li>
Solid experience in one of the following languages Java, .NET, Golang</li><li>
Strong infrastructure experience. Experience in distributed systems and a good understanding of its fundamentals</li><li>
Database experience (MySQL, SQL Server) and good knowledge in query optimization</li><li>
Expert knowledge of REST APIs and Microservice architecture, experience with Docker and Kubernetes; Queue processing experience (Apache Kafka, RabbitMQ)</li><li>
You are open-minded to discuss various technical approaches and able to drive consensus across various stakeholders.</li></ul> 
</div> 
 
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. 
 
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.</div>

Sr. Software Engineer, Core Services Engineering

Databricks

<div>
 P-1317
 
 
 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems &mdash; from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers &mdash; and customer obsessed &mdash; we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
 
 
 As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale.
 
 
 
 The Impact You'll Have
 
 
 
 Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:
 
 
 <ul>
 <li>
 Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.
 </li>
 <li>
 Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
 </li>
 <li>
 Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 <ul>
 <li>
 BS (or higher) in Computer Science, or a related field
 </li>
 <li>
 2+ years of production level experience in one of: Java, Scala, C++, or similar language.
 </li>
 <li>
 Experience developing large-scale distributed systems.
 </li>
 <li>
 Experience working on a SaaS platform or with Service-Oriented Architectures.
 </li>
 <li>
 Good knowledge of SQL.
 
 
 </li>
 </ul>
 
 About Databricks
 
 
 
 Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
 
 Benefits
 
 
 
 At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
 
 
 
 Our Commitment to Diversity and Inclusion
 
 
 
 At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
 
 
 
 Compliance
 
 
 
 
 If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
 
</div>

Software Engineer - Backend

reddit

<div><div><div><div><div><div><div><div>Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com.</div>
</div>
</div></div></div></div></div>Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands.

About the Team

The ML Efficiency team builds the infrastructure, tooling, and optimization systems that enable machine learning engineers and researchers to train, evaluate, deploy, and operate models efficiently at scale. We focus on improving developer productivity, reducing infrastructure costs, increasing hardware utilization, and accelerating experimentation across the company's ML ecosystem.

Responsibilities
<ul>
<li>Design and build systems that improve the efficiency of ML training and inference workloads.</li>
<li>Develop tooling that helps ML engineers debug, profile, optimize, and monitor model performance.</li>
<li>Improve GPU and general resource utilization through scheduling, resource management, caching, and workload optimization.</li>
<li>Partner with ML researchers and product teams to identify bottlenecks and drive performance improvements.</li>
<li>Build benchmarking frameworks and performance dashboards for training and serving systems.</li>
<li>Optimize distributed training infrastructure, data pipelines, and model serving architectures.</li>
<li>Lead cross-functional initiatives that improve the productivity of Reddit ML engineers.</li>
<li>Drive technical strategy for ML platform scalability, reliability, and cost efficiency.</li>
</ul>
Qualifications

Required
<ul>
<li>BS, MS, or PhD in Computer Science or a related field.</li>
<li>5+ years of software engineering experience.</li>
<li>Strong proficiency in Python</li>
<li>Profiency in at least one systems language (Go, C++, Rust, or Java) preferred</li>
<li>Experience building distributed systems at scale.</li>
<li>Experience with machine learning infrastructure, training systems, or model serving platforms.</li>
<li>Deep understanding of performance engineering and systems optimization.</li>
<li>Strong debugging and profiling skills.</li>
</ul>
Preferred
<ul>
<li>Experience with large-scale recommendation, ranking, generative AI, or foundation model systems.</li>
<li>Experience with distributed training frameworks such as PyTorch Distributed, Ray, Tensorflow, Spark</li>
<li>Familiarity with GPU architectures and performance analysis tools.</li>
<li>Experience optimizing cloud infrastructure costs across large ML workloads.</li>
<li>Contributions to internal platforms used by multiple ML teams.</li>
<li>Experience with building real time ML inference applications</li>
</ul>
What Success Looks Like
<ul>
<li>ML engineers can move from idea to experiment faster.</li>
<li>Training and inference costs decrease, performance increases, while model quality is maintained or improved.</li>
<li>GPU utilization and cluster efficiency increase.</li>
<li>Platform reliability improves as ML workloads scale.</li>
<li>Teams spend less time managing infrastructure and more time building models.</li>
<li>Average recommendation model size increases.</li>
</ul>
Benefits:
<ul>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Private Pension plan with Employer-matching</li>
<li>100% employer-sponsored group medical plan</li>
<li>Income Replacement Programs</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave</li>
</ul><div>
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.</div></div>

Staff Machine Learning Engineer, ML Efficiency

Katanox

<div>
 
 About Katanox
 
 
 
 
 
 Katanox is building the infrastructure layer for hospitality: software that connects hotels and travel buyers and moves money between them. Our platform brings&nbsp;
 
 distribution and payments
 
 &nbsp;into one workflow (contracting, connectivity, reconciliation, and settlement), so partners can operate with less fragmentation and fewer manual handoffs.
 
 
 
 
 
 For engineers, this means building reliable systems that handle complex B2B workflows and real financial constraints, with a focus on data integrity, auditability, security, and operational excellence. We&rsquo;re headquartered in Amsterdam with hubs in London and New York.
 
 
 
 
 
 Why join Katanox
 
 
 
 
 <ul>
 <li>
 
 Build software that moves real money
 
 : Work on Kotlin services that sit on the critical path for payments, reconciliation, and settlement.
 </li>
 <li>
 
 Solve hard problems, end-to-end
 
 : Own outcomes across data models, APIs, and the production realities (observability, reliability, compliance).
 </li>
 <li>
 
 High-trust team, high standards
 
 : Direct communication, strong engineering fundamentals, and a bias toward shipping and learning.
 </li>
 <li>
 
 In-person collaboration (hub model)
 
 : We do our best work together, spending regular time in Amsterdam, London, or New York to move faster and build trust.
 </li>
 <li>
 
 Growth-stage ownership
 
 : The surface area is big, and the team is lean; your decisions will shape the platform.
 </li>
 </ul>
 
 
 
 
 How we work
 
 
 
 
 
 A cornerstone of our culture is in‑person collaboration. We follow a &ldquo;hub&rdquo; model with unique hubs in Amsterdam, London, and New York, where we regularly collaborate face‑to‑face, onboard customers and colleagues, hold design sessions, and host events.
 
 
 
 
 
 We do not hire for strictly remote roles. We expect people to spend meaningful time in our hubs because this is how we maintain our culture, build trust, and move quickly together.
 
 
 
 
 
 We&rsquo;re also a&nbsp;
 
 financially regulated
 
 &nbsp;company. That means high standards for security, auditability, and decision-making. This means your work ships with the rigor and reliability you&rsquo;d expect from systems that move real money.
 
 
 
 
 
 Our values
 
 
 
 
 
 At Katanox, our values are the blueprint for how we work together and build our product.
 
 <ul>
 <li>
 
 Team over the individual, no ego:&nbsp;
 
 We prioritize the success of the whole team over individual agendas. We win together, share credit, and leave egos at the door.
 </li>
 <li>
 
 Data beats excitement:&nbsp;
 
 We welcome bold ideas, but we commit based on evidence. We use data, experimentation, and clear hypotheses to decide what to build.
 </li>
 <li>
 
 Dare to do:&nbsp;
 
 We are proactive, take smart risks, and move from talking to doing. We learn by shipping and improve through iteration.
 </li>
 <li>
 
 See it, own it, and close it:&nbsp;
 
 When we spot a problem or opportunity, we take responsibility to drive it to completion instead of assuming someone else will.
 </li>
 <li>
 
 We apply radical candor:&nbsp;
 
 We care personally and challenge directly. We give and receive honest feedback so we can grow faster as individuals and as a team.
 </li>
 <li>
 
 In person first, call second:&nbsp;
 
 We prioritize in‑person collaboration in our hubs to build trust, move quickly, and solve hard problems together.
 </li>
 <li>
 
 Build collaboratively:&nbsp;
 
 We actively involve the right people, share context early, and co‑create solutions across teams and disciplines.
 </li>
 <li>
 
 Iterate fast and pragmatically:&nbsp;
 
 We ship small, learn quickly, and avoid over‑engineering. We focus on solutions that work in reality, not just in theory.
 </li>
 </ul>
 
 
 
 
 About the role
 
 
 
 
 
 You'll work on the backend systems at the core of Katanox. These are the services that move money between hotels, travel buyers, and payment networks, and the infrastructure that keeps bookings, pricing, and reconciliation consistent across a fragmented industry. Expect to ship Kotlin services that handle real transactions, in real time, for real customers.
 
 
 
 
 
 This role is for someone who likes ownership and depth. You'll help shape architecture with other engineers, ship iteratively, and raise the bar for reliability and correctness in a regulated environment where a missed event is a failed reservation or a misrouted payout.
 
 
 
 
 
 What you will work on
 
 
 
 
 <ul>
 <li>
 Building distributed systems that move real money and real bookings between hotels, the world's largest travel agents, and payment networks, where a dropped event isn't a bug ticket, it's a failed reservation or a misrouted payout.
 </li>
 <li>
 Designing and operating high-availability components in a regulated environment, where "it usually works" isn't good enough. Think idempotency, exactly-once semantics, graceful degradation, and the kind of observability that lets you sleep at night.
 </li>
 <li>
 Working on the parts of the platform where scale is non-trivial: millions of searches per day, connectivity to a long tail of supplier and acquirer systems, and pricing/availability flows that have to stay correct under load.
 </li>
 <li>
 Going deep on a single domain (payments, distribution, contracting, reconciliation) while still understanding how the whole platform fits together, because the interesting problems at Katanox usually sit at the seams between two of them.
 </li>
 <li>
 Shaping architecture decisions, not just implementing them. We're still early enough that the choices you make this quarter will be load-bearing for years to come.
 </li>
 <li>
 Owning what you ship end-to-end: design, build, deploy, monitor, and improve. No throw-it-over-the-wall culture.
 </li>
 </ul>
 
 
 
 
 What we are looking for
 
 
 
 
 <ul>
 <li>
 You've built and operated production systems that mattered. Ideally distributed, ideally with real availability and consistency requirements. You know the difference between "passes the tests" and "behaves well at 3 am on a Sunday."
 </li>
 <li>
 Strong Kotlin or Java experience, and you're opinionated about why. You care about code that's simple, testable, and boring in the best way.
 </li>
 <li>
 You enjoy reasoning about hard problems like concurrency, failure modes, data consistency, system boundaries, and you can turn ambiguous business requirements into something that actually works.
 </li>
 <li>
 You want to work with smart, low-ego people who push you. We hire for genuine curiosity and craft, not credentials, and we expect you to make the people around you better.
 </li>
 <li>
 You're genuinely interested in the domain. Payments and travel distribution are messy, regulated, and full of edge cases. If that sounds tedious rather than interesting, this probably isn't the right role.
 </li>
 <li>
 You take ownership. When something is broken or unclear, you pick it up rather than file it under "someone else's problem."
 </li>
 <li>
 Solid fundamentals: data structures, algorithms, system design, testing.
 </li>
 <li>
 Fluent in English.
 </li>
 </ul>
 
 
 
 
 Tech stack snapshot
 
 
 
 
 <ul>
 <li>
 Backend: Kotlin, Ktor, Arrow-kt, Jooq, Postgres
 </li>
 <li>
 Frontend: React
 </li>
 <li>
 Infra: AWS, K8S
 </li>
 </ul>
 
 
 
</div>

Software Engineer

Alignerr

<div>
 
 About The Role
 
 
 
 What if the code you write could directly power the AI systems shaping how millions of people interact with technology? We're looking for Back End Developers in Amsterdam to design, build, and optimize the server-side systems and APIs that drive cutting-edge AI products &mdash; from data pipelines and model-serving infrastructure to scalable microservices that handle real-world traffic at scale.
 
 
 This is a fully remote, flexible contract role. Whether you're a seasoned engineer looking for meaningful project work or a strong developer ready to apply your skills to AI-adjacent infrastructure, this is your chance to build things that matter.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design, develop, and maintain robust back end services, APIs, and data pipelines
 </li>
 <li>
 Build scalable, high-performance server-side architecture to support AI training and inference workloads
 </li>
 <li>
 Write clean, well-documented, and testable code following engineering best practices
 </li>
 <li>
 Integrate with databases, message queues, cloud services, and third-party APIs
 </li>
 <li>
 Optimize system performance, reliability, and scalability as usage grows
 </li>
 <li>
 Collaborate asynchronously with distributed teams of engineers, researchers, and product leads
 </li>
 <li>
 Troubleshoot production issues, conduct code reviews, and contribute to architectural decisions
 </li>
 <li>
 Work independently on task-based and project-based assignments on your own schedule
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Proficient in one or more back end languages &mdash; Python, Go, Java, Node.js, Rust, or similar
 </li>
 <li>
 Solid understanding of RESTful API design, microservices architecture, and distributed systems
 </li>
 <li>
 Experienced with relational and/or NoSQL databases (PostgreSQL, MongoDB, Redis, etc.)
 </li>
 <li>
 Comfortable working with cloud platforms such as AWS, GCP, or Azure
 </li>
 <li>
 Familiar with version control (Git), CI/CD pipelines, and containerization (Docker, Kubernetes)
 </li>
 <li>
 Strong problem-solving skills and the ability to debug complex systems independently
 </li>
 <li>
 Self-motivated, reliable, and effective when working asynchronously without close supervision
 </li>
 <li>
 Clear communicator who can document decisions and collaborate across time zones
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience building infrastructure for machine learning or AI systems
 </li>
 <li>
 Familiarity with data processing frameworks (Apache Kafka, Spark, Airflow, or similar)
 </li>
 <li>
 Background in performance optimization, caching strategies, or high-throughput systems
 </li>
 <li>
 Knowledge of authentication, authorization, and security best practices
 </li>
 <li>
 Experience with serverless architectures or event-driven design patterns
 </li>
 <li>
 Contributions to open-source projects or a strong portfolio of personal/professional work
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI infrastructure projects alongside leading research labs
 </li>
 <li>
 Fully remote and flexible &mdash; set your own hours and work from anywhere
 </li>
 <li>
 Freelance autonomy with access to meaningful, technically challenging work
 </li>
 <li>
 Build systems at the intersection of software engineering and artificial intelligence
 </li>
 <li>
 Collaborate with a global network of talented engineers and researchers
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

Back End Developer (AI Infrastructure)

Client Server

<div>
 
 
 
 Full Stack Developer / Engineer (Kotlin AWS JavaScript) Amsterdam to &euro;85,000
 
 
 
 
 
 
 
 Are you a skilled Full Stack Developer looking for an opportunity to progress your career whilst working with a modern tech stack and continually improving your skills?
 
 
 
 
 
 You could be joining a scaling, global FinTech company, working on a successful product that helps global companies to achieve sustainability and NetZero targets via Blockchain technology solutions.
 
 
 
 
 
 As a Full Stack Developer you will work across the full technology stack with a focus on Kotlin backend systems but also with some front end (JavaScript, Angular / React) work. You'll quickly gain an understanding of the complete ecosystem of the modern, distributed application with a broad scope of work including AWS, mobile applications, trading and transfer functionality and integration of 3rd party platforms.
 
 
 
 
 
 This is an opportunity to work on worthwhile technology that is helping to increase decarbonisation whilst working on complex and interesting systems with continual learning opportunities.
 
 
 
 
 
 
 WFH Policy:
 
 
 
 You'll join colleagues in the Amsterdam office two days a week with flexibility to work from home the other three days.
 
 
 
 
 
 
 About you:
 
 
 <ul>
 <li>
 You have strong serverside Kotlin experience (Java background is good)
 </li>
 <li>
 You have experience with Spring Boot and microservices
 </li>
 <li>
 You have a thorough understanding of Computer Science fundamentals such as OOP, Design Patterns, Data Structures
 </li>
 <li>
 You have a good knowledge of AWS
 </li>
 <li>
 You have a good understanding of CI/CD, DevOps
 </li>
 <li>
 You also have some JavaScript, Angular, React front end skills
 </li>
 <li>
 You're collaborative, enjoy problem solving and continually learning
 </li>
 <li>
 You're keen to work in a start-up / scale-up environment with lots of ownership
 </li>
 </ul>
 
 
 
 
 
 What's in it for you:
 
 
 <ul>
 <li>
 Salary to &euro;85,000
 </li>
 <li>
 Flexible working in a relaxed technology focussed environment
 </li>
 <li>
 Continual learning and self-development opportunities
 
 
 </li>
 </ul>
 
 
 
 
 
 Apply now
 
 to find out more about this Full Stack Developer / Engineer (Kotlin AWS JavaScript) opportunity.
 
</div>

Full Stack Developer Kotlin AWS JavaScript - Start-up

Explore 205+ Distributed systems engineer in Amsterdam this July. Find roles across top companies and apply now to boost your career.