(senior) cloud infrastructure engineer - aws · gcp · azure

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senior platform engineer Jobs in Amsterdam

senior platform engineer

(senior) cloud infrastructure engineer - aws · gcp · azure Jobs in Amsterdam

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senior infrastructure engineer

Shine

<div><h2 class="jobSectionHeader">About Shine</h2>
Shine is the financial copilot for entrepreneurs and small business owners. Founded by serial entrepreneurs Rico Andersen and Martin Hegelund, Shine is a leading European fintech on a mission to restore the joy of running a business by ending wasted time on financial admin &mdash; offering a connected solution for invoicing, accounting, payroll, business accounts, payments, and financing.
Today we're part of Cegid, a European leader in cloud software for finance and accounting. Together we serve over one million small businesses and 15,000 accountants across Europe, working from France, Germany, Denmark and the Netherlands, within a wider network spanning Spain, Portugal and Belgium.
Just as we respect our customers' time, we respect yours. Your hiring experience with Shine and Cegid should feel simple, transparent and genuinely supportive.<h2 class="jobSectionHeader">
Infrastructure &amp; Platform Engineering at Shine</h2>
Our 150+ engineering organization is structured into specialized domains. The Infrastructure team provides the reliable, secure foundation that every product team builds on &mdash; across AWS, GCP and Azure.
We're in a period of transition, consolidating multiple cloud providers following an acquisition: unifying governance, standardizing IaC and networking, establishing security baselines, and building self-service capabilities so product teams can ship with confidence. This is complex, high-impact work &mdash; and there's real room to shape processes, drive improvements, and own outcomes.<h2 class="jobSectionHeader">
The Role</h2>
We're looking for a Senior Site Reliability / Cloud Infrastructure Engineer to join our Infrastructure team. This is a long-term position to replace a recent departure and strengthen our capacity as we scale.
You'll play a crucial role in maintaining and improving the reliability, security, and scalability of our cloud infrastructure. By taking ownership of critical infrastructure tasks, you'll help redistribute workload across the team and free your teammates to focus on strategic initiatives.
You are an expert in at least one of these three clouds: AWS, GCP or Azure, paired with the fundamentals that transfer across all of them.<h3 class="jobSectionHeader">
What you'll do</h3><ul><li>
Maintain &amp; improve reliability &mdash; ensure availability, scalability, and performance of infrastructure and services across our multi-cloud estate.</li><li>
Automation &amp; Infrastructure as Code &mdash; build and maintain infra with Terraform/Terragrunt; automate repetitive operational work.</li><li>
Observability &amp; monitoring &mdash; define SLOs/SLIs and maintain monitoring, logging, and alerting (Prometheus, Grafana, Datadog).</li><li>
Security &amp; compliance &mdash; apply cloud security best practices and support audits and regulatory compliance (ACPR, PCI-DSS, GDPR, DORA).</li><li>
Networking &amp; connectivity &mdash; operate and improve enterprise-grade networking and connectivity across cloud providers.</li><li>
Collaboration &amp; knowledge sharing &mdash; act as a bridge between Infrastructure and Product/Engineering teams, document infra, and mentor peers.</li></ul><h3 class="jobSectionHeader">
Future opportunities</h3><ul><li>
Lead reliability efforts for core business services.</li><li>
Contribute to long-term architecture and multi-cloud strategy.</li><li>
Optimize cloud costs and resource usage (FinOps).</li><li>
Grow into leadership by mentoring junior engineers or leading sub-projects.</li></ul><h2 class="jobSectionHeader">
Our tech stack</h2><ul><li>
Clouds:
<ul><li>AWS (EC2, ECS, EKS, Fargate, Lambda, RDS/Aurora, S3, VPC, Transit Gateway, Route 53)</li><li>
GCP (Cloud Run, GCE, Cloud SQL, VPC)</li><li>
Azure (AKS, Container Apps, VMs, Functions, Azure SQL, VNet)</li></ul></li><li>
IaC &amp; automation: Terraform / Terragrunt, GitHub Actions, OIDC</li><li>
Containers &amp; orchestration: Docker, Kubernetes (EKS/GKE/AKS), ECS/Fargate</li><li>
Observability: Prometheus, Grafana, Datadog, NewRelic, native cloud monitoring (AWS CloudWatch, GCP Cloud Monitoring, Azure Monitor)</li><li>
Networking: VPC/VNet, Transit Gateway / peering / VPN, DNS, TLS/mTLS, load balancing, Cloudflare</li><li>
Security &amp; IAM: least-privilege design, IAM Identity Center / SSO, Okta, Security Hub / GuardDuty / Config and equivalents</li><li>
Data: SQL databases and event-driven systems</li></ul><h2 class="jobSectionHeader">
About you</h2>
Must-haves<ul><li>
5+ years of relevant experience (Senior level)</li><li>
Strong English communication</li><li>
Terraform expertise</li><li>
Hands-on experience with AWS and/or GCP and/or Azure at scale</li><li>
Solid networking fundamentals (DNS, TLS/mTLS, firewalls, routing, load balancing)</li><li>
Monitoring &amp; observability tooling (Prometheus, Grafana, Datadog, etc.)</li><li>
Cloud and system security best practices</li><li>
Knowledge of SQL databases and event-driven systems</li></ul>
Nice-to-haves<ul><li>
Cloudflare</li><li>
Identity &amp; Access Management (Okta)</li><li>
Docker &amp; Kubernetes</li><li>
CI/CD pipelines (GitHub Actions)</li><li>
Experience supporting audits / regulated environments (PCI-DSS, ACPR, ISO 27001, DORA)</li><li>
FinOps / cost optimization fundamentals</li></ul>
Soft skills<ul><li>
Problem-solving mindset</li><li>
Strong collaboration &amp; communication</li><li>
Adaptability &amp; proactivity</li><li>
Continuous-improvement drive</li></ul><h2 class="jobSectionHeader">
What success looks like</h2><ul><li>
3 months &mdash; fully onboarded and autonomous in day-to-day infra; delivered documentation updates and proposed improvements.</li><li>
6 months &mdash; owns a domain; contributed to a critical project; led a small internal improvement initiative.</li><li>
12 months &mdash; recognized as the go-to expert in a major infra domain; mentored junior teammates; shaped the roadmap.</li></ul><h2 class="jobSectionHeader">
Why join us</h2><ul><li>
Impactful role &mdash; directly improve the reliability and scalability of our core systems.</li><li>
Growth opportunities &mdash; lead projects, propose improvements, and shape long-term infra strategy.</li><li>
Collaborative team &mdash; a supportive culture of pragmatism, knowledge-sharing, and autonomy.</li><li>
International environment &mdash; work with colleagues from diverse backgrounds across Europe.</li></ul><h2 class="jobSectionHeader">
Our recruitment process</h2><ul><li>
A 30' intro call with your Talent Acquisition partner to get to know you and share more about Shine.</li><li>
A 45' interview with the Hiring Manager to discuss your past experience and the role.</li><li>
A technical discussion / hands-on business case with team members to highlight your skills and give you a feel for the work.</li><li>
A team introduction and personality assessment, with feedback, to see how we can best support your growth.</li><li>
Final alignment &amp; offer.</li></ul><h2 class="jobSectionHeader">
Details</h2><ul><li>
Department: Product &amp; Technology</li><li>
Role: Infrastructure / Platform</li><li>
Locations: Amsterdam, Berlin, Copenhagen, Gdańsk, Paris &mdash; with up to two remote days per week</li></ul>
Equal Opportunity Employer &mdash; We follow the principle of equal treatment for all applicants and do not discriminate based on gender, sexual orientation, color, racial or ethnic origin, religion, disability, etc., as per applicable law.</div>

(Senior) Cloud Infrastructure Engineer - AWS · GCP · Azure

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 Senior AI Infrastructure Engineer, you will play a key role in building the next generation AI cloud platform &ndash; 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.
 
 
 Hybrid working two days a week in the Amsterdam office.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and maintain performant, secure, and highly-available backend services/operators that run in our data centers and automate hardware management, such as Infiniband partitioning, in-DC parallel storage provisioning, and VM provisioning.
 </li>
 <li>
 Design and build out the IaaS software layer for a new GB200 data center with thousands of GPUs.
 </li>
 <li>
 Work on a global multi-exabyte high-performance object store, serving massive datasets for pretraining.
 </li>
 <li>
 Build advanced observability stacks for our customers with automated node lifecycle management for fault-tolerant distributed pretraining.
 </li>
 <li>
 Perform architecture and research work for decentralized AI workloads
 </li>
 <li>
 Work on the core, open-source Together AI platform
 </li>
 <li>
 Create services, tools, and developer documentation
 </li>
 <li>
 Create testing frameworks for robustness and fault-tolerance
 
 
 </li>
 </ul>
 To be successful, you&rsquo;ll need to be deeply technical and possess excellent communication, collaboration, and diplomacy skills. You have strong fundamental software development skills. In addition, you have strong systems knowledge and troubleshooting abilities.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 5+ years of professional software development experience and proficiency in at least one backend programming language (Golang desired)
 </li>
 <li>
 5+ years experience writing high-performance, well-tested, production quality code
 </li>
 <li>
 Demonstrated experience with building and operating high-performance and/or globally distributed micro-service architectures across one or more cloud providers (AWS, Azure, GCP)
 </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>
 Deep experience with Kubernetes internals a big plus, such as implementing non-trivial Kubernetes operators, device/storage/network plugins, custom schedulers, or patches thereon or Kubernetes itself
 </li>
 <li>
 Deep experience with VMs/hypervisors a big plus, such as QEMU/KVM, cloud-hypervisor, VFIO, virtio, PCIE passthrough, Kubevirt, SR-IOV
 </li>
 <li>
 Deep experience with DC networking tech + solutions a big plus, such as VLAN, VXLAN, VPN, VPC, OVS/OVN
 </li>
 <li>
 Experience with Cluster API or similar a big plus
 </li>
 <li>
 Experience working on high-performance compute, networking, and/or storage a big plus
 </li>
 <li>
 Experience virtualizing GPUs and/or Infiniband a big plus
 </li>
 <li>
 Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale
 </li>
 <li>
 Experience with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoCD)
 </li>
 <li>
 Experience building IaaS or PaaS systems at scale a plus
 </li>
 <li>
 Experience with DPUs/SmartNICs a plus
 </li>
 <li>
 GPU programming, NCCL, CUDA knowledge a plus
 
 
 </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>

Senior Software Engineer Together Cloud Infrastructure

GeekSoft Consulting

<div>
 <ul>
 <li>
 Help design, build and continuously improve the clients online platform.
 
 </li>
 <li>
 Research, suggest and implement new technology solutions following best practices/standards.
 
 </li>
 <li>
 Take responsibility for the resiliency and availability of different products.
 
 </li>
 <li>
 Be a productive member of the team.
 
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 
 <ul>
 <li>
 Strong experience as an Azure DevOps/CI/CD Infrastructure Engineer with expertise in designing, implementing, and optimizing cloud infrastructure and automated deployment pipelines on Microsoft Azure.
 
 </li>
 <li>
 Hands-on experience designing and implementing CI/CD pipelines using Azure DevOps and GitHub Actions.
 
 </li>
 <li>
 Experience automating build, test, and deployment workflows across multiple environments.
 
 </li>
 <li>
 Strong expertise in managing Azure infrastructure, including Virtual Machines, App Services, AKS, Networking, Storage, and Databases.
 
 </li>
 <li>
 Experience developing and managing Infrastructure as Code (IaC) using Terraform, ARM Templates, or Bicep.
 
 </li>
 <li>
 Hands-on experience integrating infrastructure with CI/CD pipelines and implementing automated deployment and rollback strategies.
 
 </li>
 <li>
 Experience implementing monitoring and observability using Azure Monitor, Log Analytics, and Application Insights.
 
 </li>
 <li>
 Strong understanding of Azure security, DevSecOps practices, Azure AD, RBAC, and cloud governance.
 
 </li>
 <li>
 Experience collaborating with Development, Architecture, Platform, Operations, and Site Reliability Engineering (SRE) teams to deliver scalable and secure cloud solutions.
 
 
 
 
 </li>
 </ul>
 Benefits
 
 
 <ul>
 <li>
 A challenging, innovating environment.
 
 </li>
 <li>
 Opportunities for learning where needed.
 
 </li>
 </ul>
</div>

Azure Infra Engineer

ELTEMATE

<div>
 
 We are seeking a passionate
 
 (Senior) Cloud Engineer
 
 to join our growing team.&nbsp;
 
 
 
 
 
 
 
 
 
 About Eltemate
 
 
 
 
 
 
 We are ELTEMATE &ndash; A Hogan Lovells Legal Tech Company. Our goal is to make clients&rsquo; lives easier by delivering practical solutions to everyday problems. We combine a deep understanding of our clients' legal needs with the speed and innovation of a technology start-up. Our portfolio covers a large spectrum of legal tech solutions including artificial intelligence, eDiscovery, information analysis, regulatory updates, databases, deal rooms, workflow management, case management, document automation, risk assessment, reporting, and apps.
 
 
 
 
 
 
 2. Role Description
 
 
 
 
 
 
 We are looking for a (Senior) Cloud Engineer to help design, build, and operate our Azure infrastructure.
 
 
 This is a hands-on engineering role for someone who enjoys actively designing, implementing, and shipping technical solutions - rather than focusing primarily on coordinating deployments or managing tickets. You should be comfortable reading and writing code, working with Infrastructure as Code, debugging production systems, and making pragmatic architecture decisions.
 
 
 Our infrastructure is built primarily on Microsoft Azure, with Pulumi using Go for Infrastructure as Code. We run containerized applications, managed databases, private networking, observability tooling, and security controls required for a regulated environment.
 
 
 You will work closely with our engineering teams to make our platform reliable, secure, observable, and maintainable.
 
 
 
 
 
 
 3. Duties and Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Build and maintain Azure cloud infrastructure using Infrastructure as Code
 </li>
 <li>
 Work with Pulumi, primarily in Go, to define and evolve cloud resources
 </li>
 <li>
 Design secure and scalable infrastructure for containerized applications and platform services
 </li>
 <li>
 Operate and improve Azure resources such as Container Apps, PostgreSQL, Key Vault, Application Gateway and monitoring components
 </li>
 <li>
 Help enforce security and compliance requirements, including private networking, least privileged access, auditability, and production readiness
 </li>
 <li>
 Debug infrastructure, networking, deployment, identity, and runtime issues across cloud and application boundaries
 </li>
 <li>
 Improve observability, alerting, logging, tracing, and operational runbooks
 </li>
 <li>
 Review architecture and infrastructure changes from other engineers
 </li>
 <li>
 Identify potential recurring problems and improve systems, tooling, and processes
 </li>
 <li>
 Collaborate with engineering teams so services are deployed, configured, and operated in a maintainable way
 </li>
 </ul>
 
 
 
 
 
 4. Required knowledge, skills and experience
 
 
 
 
 
 <ul>
 <li>
 Several years of hands-on experience with Microsoft Azure
 </li>
 <li>
 Strong practical understanding of cloud networking, including VNets, subnets, DNS, private endpoints, routing, firewalls, and ingress
 </li>
 <li>
 Experience with Infrastructure as Code such as Pulumi, Terraform, Bicep, ARM, or similar
 </li>
 <li>
 Ability to read and write production-quality code in at least one general-purpose language
 </li>
 <li>
 Experience operating production systems, including incident investigation and root-cause analysis
 </li>
 <li>
 Strong understanding of identity, secrets management, permissions, and secure cloud design
 </li>
 <li>
 Clear written and verbal communication skills in an international or remote-first environment
 </li>
 <li>
 5+ years of experience as DevOps Engineer, Cloud Engineer, Platform Engineer, SRE, or similar role
 </li>
 </ul>
 
 
 
 
 
 5. Other preferred skills
 
 
 
 
 
 <ul>
 <li>
 Experience building infrastructure for regulated, security-conscious, or ISO-aligned environments
 </li>
 <li>
 Familiarity with LGTM stack (Loki, Grafana, Tempo, Mimir) or Prometheus
 </li>
 <li>
 Experience running microservices in production
 </li>
 <li>
 Experience in a startup or scale-up environment
 </li>
 </ul>
 
 
 
 
 
 6. Expectations
 
 
 
 
 
 
 You should be able to:
 
 <ul>
 <li>
 Understand existing Infrastructure as Code and safely modify it
 </li>
 <li>
 Reason about Azure resource dependencies and networking paths
 </li>
 <li>
 Debug why a service cannot reach a database, Key Vault, queue, or private endpoint
 </li>
 <li>
 Explain trade-offs between public access, private networking, managed identity, firewalling, and operational simplicity
 </li>
 <li>
 Draw reliable conclusions from code, logs, metrics, traces, Azure diagnostics, and documentation&nbsp;
 </li>
 <li>
 Communicate risks and implementation options clearly
 </li>
 </ul>
 
 
 
 
 
 7. Other Details
 
 
 
 
 
 <ul>
 <li>
 Full-time employee (40 hours/week)
 </li>
 <li>
 Reports to Global Head of R&amp;D and Software Engineering
 </li>
 <li>
 Location: Amsterdam, Munich, Hamburg, Frankfurt, Berlin, London&nbsp;
 </li>
 <li>
 Compensation depending on qualifications and experience
 </li>
 <li>
 Hybrid work model
 </li>
 <li>
 Background screening is part of the hiring process
 </li>
 </ul>
 
 
 
 
 
 8. Disclaimer
 
 
 
 
 
 
 ELTEMATE is an equal employment opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, gender, national origin, age, sex, disability, veteran status, marital status, sexual orientation, gender identity or any other characteristic protected by law.&nbsp;
 
 
 
 
 
 If you are interested, please get in touch with us at HR@eltemate.com We look forward to meeting you.
 
 
 
 
</div>

Cloud Engineer

European Tech Recruit

<div>
 
 
 Senior Machine Learning Engineer
 
 
 
 
 
 
 European Tech Recruit are working closely with a multinational semiconductor company, based in Amsterdam, who are looking for a talented
 
 Senior Machine Learning Engineer
 
 to join their cutting edge future research group
 
 .
 
 
 
 
 
 
 As a Senior Machine Learning Engineer for their AI Research, you work directly with ML research teams to implement algorithms, conduct experiments, develop research-oriented software tools, as well as work together with both research and product teams to bring AI models to embedded devices.
 
 
 
 
 
 Responsibilities as
 
 Senior Machine Learning Engineer
 
 :
 
 <ul>
 <li>
 Rapid prototyping, large-scale experimentation and fast iteration, always emphasizing code quality, maintainability, and efficiency.
 </li>
 <li>
 Contribute to comprehensive system design and engineering efforts, facilitating the transition of research prototypes toward commercial deployment.
 </li>
 </ul>
 
 
 
 
 Requirements:
 
 <ul>
 <li>
 PhD or M.S. in computer science, electrical engineering, robotics, or a related field, or a B.S. with several years of employment in related fields.
 </li>
 <li>
 Excellent Python programming skills demonstrated through relevant industry or academic experience.
 </li>
 <li>
 Proven experience with machine learning and frameworks such as PyTorch and hands-on experience with training deep neural networks, generating and evaluating experimental results, and improving training pipelines.
 </li>
 <li>
 Proven experience with embedded computing and/or the Android platform, and a solid understanding of C++.
 </li>
 <li>
 Background in software development, incl. testing, debugging, and test-driven development.
 </li>
 <li>
 Ability to work in a multi-site software organization.
 </li>
 </ul>
 
 
 
 
 Desirable Experience:
 
 <ul>
 <li>
 Strong software design, development, and debugging skills combined with a solid foundation in AI and general ML techniques.
 </li>
 <li>
 Proven hands-on experience evaluating and optimizing Generative AI workflows for accuracy, performance, and other key metrics.
 </li>
 <li>
 Experience with optimization of algebraic operations in algorithms for HW cores.
 </li>
 <li>
 Prior experience with ML model optimization frameworks and a familiarity with applying techniques such as quantization, pruning, etc.
 </li>
 <li>
 Familiarity with containerization tools, test frameworks and static analysis tools and ability to work with continuous integration infrastructure.
 </li>
 </ul>
 
 
 
 
 If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to nh@eu-recruit.com.
 
 
 
 
 
 
 By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https://eu-recruit.com/about-us/privacy-notice/).
 
 
</div>

Senior Machine Learning Engineer

Xomnia

<div><h3 class="jobSectionHeader">Senior Data Platform Engineer</h3>
At Xomnia, Senior Data Platform Engineers don't just build systems. They define how data platforms evolve. As a Senior Data Platform Engineer, you will set the architectural direction that enables organizations like KLM, Enexis, and Rabobank to operate at the frontier of data and AI. 
 
You build with conviction: shaping standards, steering technical trade-offs, and leaving a lasting mark on both client platforms and the broader engineering culture at Xomnia.<h3 class="jobSectionHeader">
Lead architecture that others build on</h3>
Joining Xomnia means entering a community of over 20 nationalities driven by one shared ambition: using data and AI to solve problems that actually matter. At senior level, that ambition takes on a different weight. You are not just executing, you are setting direction. The Xomnia way rewards engineers who challenge assumptions, share knowledge generously, and raise the bar for everyone around them.
As a Senior Data Platform Engineer, your growth trajectory leans into ownership. You'll drive architectural decisions, act as a trusted technical advisor to clients, and mentor the engineers coming up behind you. Dedicated internal time gives you space to explore new technologies and contribute to the standards that define how Xomnia builds.<h3 class="jobSectionHeader">
What the role looks like in practice</h3>
Your week moves between our Amsterdam HQ on Raamstraat with its canal views, uneven floors, and the kind of Friday design sessions that actually move things forward, client environments, and home. At senior level, you're as likely to be leading a migration architecture discussion as you are optimizing a pipeline that processes millions of records overnight.
Some examples of the type of work we do: a cloud platform overhaul at a.s.r, a data infrastructure project at DAF, and an end-to-end solution at Albert Heijn.<h3 class="jobSectionHeader"> 
What you bring to the table</h3>
You've moved past proving you can build; now you're focused on building the right things, the right way, and bringing others along with you. What we're looking for:<ul><li>
5+ years in data engineering or data-intensive backend systems, with end-to-end ownership of production-grade platforms.</li><li>
You translate technical depth into clear direction for engineers, clients, and stakeholders.</li><li>
Proven experience designing scalable cloud architectures and leading the technical discussions that drive decisions.</li><li>
Deep expertise optimizing pipelines for performance, reliability, and cost, at a scale where it matters.</li><li>
An excellent understanding of technology trade-offs in data platforms specific to a wide range of different use cases.</li><li>
Proficiency with Infrastructure as Code (e.g., Terraform) and CI/CD-driven data workflows.</li><li>
Fluent in English; Dutch is a strong plus.</li><li>
Eligible to work in the Netherlands.</li></ul><h3 class="jobSectionHeader">
What's in it for you?</h3>
Xomnia invests in the people who push things forward. For Senior Data Platform Engineers, that looks like this:<ul><li>
A monthly salary between &euro;5,650 &ndash; &euro;6,800 (based on 40 hours, excluding vacation allowance), plus Stock Appreciation Rights to share in what we're building together.</li><li>
A dedicated &euro;5,000 annual development budget, access to Learning Labs, and real internal influence over how Xomnia engineers.</li><li>
25 vacation days, with the option for unpaid leave or the occasional stint working from abroad.</li><li>
Company trips that range from ski slopes to Jordan, regular canal boat rides, and a Raamstraat office stocked with healthy lunches and a fully loaded bar, every day.</li><li>
A solid pension scheme and flexible working arrangements.</li></ul><h3 class="jobSectionHeader">
Hear it from our engineers!</h3>
All nicely said, right? But what if you hear these words from our Data Engineers themselves? Our consultants Sara and Wesley talk about their role as Data Engineer at Xomnia and explain why working at Xomnia is so lively.<h3 class="jobSectionHeader">
Become a Xomnian!</h3>
At Xomnia, we believe in using data and AI to tackle real-world challenges. With a team of passionate experts from 20+ nationalities and over 30% female representation, we celebrate diversity and welcome different perspectives.
We are proud of our core values: we are challengers, we embrace agility, and we always share. Want to be part of this and take the next step in your career?
Apply now or reach out to vanity.lekkerkerker@xomnia.com We look forward to meeting you.</div>

Senior Data Platform Engineer

Tibber

<div>We're at a pivotal moment for both Tibber and the planet. When joining Tibber, you won&rsquo;t just help scale a forward-thinking tech company &ndash; you&rsquo;ll contribute to a real shift in how people consume electricity. With millions of smart devices connected to the Tibber platform (like electric vehicles and smart thermostats), we have one of the most unique energy trading portfolios on the market.
We&rsquo;re looking for a Senior Ai Platform Engineer to join us in making the energy transition happen &ndash; maybe that&rsquo;s you?
Job Mission
As a Senior AI Platform Engineer, you&rsquo;ll join the Agentic Enablement side of our Platform team and help build the technical foundation for how Tibber adopts and scales agentic systems across engineering.
Your focus will be on the architecture, workflows and trust infrastructure that allow AI agents to safely support software development - from writing and testing code to reviewing changes, triggering workflows and knowing when to involve a human.
This is a platform role, which means the engineers building agents at Tibber are your users. Your success is measured by how quickly and confidently they can move from idea to production without needing you in the room.
This role is for someone who enjoys building reliable systems, thinking deeply about architecture and helping teams adopt new ways of working with confidence.
What you'll do
<ul><li>Contribute to the design and architecture of Tibber&rsquo;s agentic development platform, including orchestration layers, platform integrations, feedback loops and escalation paths, and the developer-facing CLI and onboarding experience.</li><li> 
Take ownership of key platform components, from design and implementation to reliability and continuous improvement.</li></ul><ul><li>
Help define workflows, quality standards and ownership models for how agents can write, test, review and support code.</li><li> 
Help shape safe and reliable agentic workflows, including human-in-the-loop boundaries.</li><li> 
Build trust infrastructure that makes agentic systems observable, secure, reversible and reliable in production.</li><li> 
Work closely with Staff Engineers and the wider Platform team to build on Tibber&rsquo;s AWS, Kubernetes and infrastructure foundations.</li><li> 
Bring people along through clear technical communication, thoughtful collaboration and strong engineering judgment.</li></ul>
What we're looking for
You are driven by impact and know how to turn strategy into execution. You're used to fast-paced environments and thrive when given clear goals and high accountability.
 
 
We believe you'll thrive here if you:<ul><li>
Bring hands-on production experience building and running reliable agentic software systems.</li><li> 
Treat evaluation as a first-class engineering concern, you&rsquo;ve built eval pipelines for non-deterministic systems, whether LLM-as-judge, regression suites, or golden datasets, and know that measuring agent quality in production is an ongoing discipline, not a launch checklist.</li><li> 
Bring hands-on production experience building and running reliable agentic software systems.</li><li> 
Have strong infrastructure knowledge across Kubernetes, Terraform, Infrastructure as Code, and platform networking.</li><li> 
Demonstrate strong software engineering depth in TypeScript, with the ability to own and operate services end-to-end.</li><li> 
Enjoys to communicate technical directions and collaborate with engineering teams to enable adoption, and turn platform capabilities into real impact.</li><li> 
Apply a strong security mindset to agent permissions, least-privilege designs, and blast radius awareness.</li><li> 
Have working knowledge of Model Context Protocol (MCP), evaluation frameworks, or cloud capabilities like AWS Bedrock.</li></ul>
&zwj;️&zwj;️The Tibber Mindset
Tibber exists to drive energy independence - away from fossil dependency. Our tech helps hundreds of thousands of households shift their electricity consumption to more sustainable and affordable hours - from electric vehicles to smart thermostats, all connected to the Tibber platform. We strengthen the resilience of the grid. Not in theory. In everyday life.
We win, fail, and grow together, staying curious and pushing for better every day. AI is shaping how we work - and we're on a journey to make it central to everything we do. The further we go, the more our Tibberinos matter - and yes, that's what we call ourselves!
Started by two founders in 2016. Now 300+ Tibberinos across Stockholm, Oslo, Berlin, Amsterdam, and F&oslash;rde. And we're still just getting started.
You're welcome at Tibber for who you are. We hire for what you can do and how you think - not your background or where you've been. Diverse teams build better products, and we mean that.</div>

Senior AI Platform Engineer

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