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senior forward deployed engineer Jobs in Amsterdam

senior forward deployed engineer

senior platform engineer Jobs in Amsterdam

senior platform engineer

forward deployed engineer

Adyen

<div>This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&amp;M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.
<h3 class="jobSectionHeader">
Senior Forward Deployed Engineer</h3>

Adyen's Business Enablement Engineering Team is looking for a Senior Forward Deployed Engineer who has a deep passion for AI and Automation. They will work on improving how teams work using their day to day productivity tooling by applying AI and automation where it has a huge effect and value.

You will be the primary driver of internal teams adopting and taking full advantage of our productivity tooling landscape. Operating as a highly technical expert, specialized, engineer, you will work with and dive deep into non-technical functions such as Legal, Support, and Operations to understand their operational toil, architect the right solutions, to reduce manual work in key business workflows, with the goal of speeding up the teams overall day to day work.

This isn't just about coding, it's about deeply understanding our internal team's most complex problems, leading the end-to-end technical delivery of innovative AI solutions, and empowering these teams to operate faster and smarter. You will be a hands-on engineer, shaping technical strategy and ensuring successful outcomes from initial concept to handover while increasing overall adoption of our tooling ecosystem.
<h3 class="jobSectionHeader">
What you will do</h3>
<ul><li>You build robust and resilient systems where maintenance is lower or non-existent. You build on top of our existing internal ecosystem or stakeholder tooling to accelerate teams productivity and user experience.</li>
<li>You create long-term high-quality documentation and runbooks. You hand ownership back to the function/team before moving on to your next project.</li>
<li>You identify repeated patterns of stakeholder issues or asks that feed back into Business Enablements Tooling roadmap.</li>
<li>Automate complex internal processes using Google Vertex AI, Google's Agent Development Kit (ADK), and software engineering to provide solutions(e.g., automated support agents, intelligent documentation retrieval, contract review automations).</li>
<li>Be responsible for the end-to-end technical delivery of complex technical solutions. You will personally write critical code, configure systems, and troubleshoot issues to ensure successful deployment and measurable business impact.</li>
<li>Embrace Adyen's &quot;launch fast&quot; formula. Quickly develop proofs-of-concept and minimum viable products, translating non-technical business requirements into technical solutions, and gathering feedback along the way.</li>
<li>Identify, analyze, and directly resolve the most complex technical challenges during all phases of the project, from complex data integrations on GCP/Kubernetes to advanced AI agent orchestration.</li>
</ul><h3 class="jobSectionHeader">Who you are</h3>
<ul><li>You are an expert in Software Engineering and bring strong automation skills, with the ability to build, troubleshoot, and scale scripts and tools independently.</li>
<li>You have a deep understanding of LLMs, prompt engineering, and applied ML workflows. You have hands-on experience integrating third-party AI models (e.g., Gemini) and using agentic orchestration frameworks (e.g., LangChain, LlamaIndex, Google ADK).</li>
<li>You have hands-on experience with Google Cloud Platform (GCP) especially integrating applications across services like Vertex AI as well as deploying to on-premise infrastructure such as K8S, Postgres, Redis etc.</li>
<li>You've successfully rolled out and maintained integrations across a variety of enterprise applications (Slack Enterprise Grid, Zoom, Atlassian suite).</li>
<li>You are great at understanding and translating non-technical issues into technical requirements. You can confidently navigate stakeholder conversations, present complex concepts simply, and create high-quality documentation.</li>
<li>You apply a security-first mindset, designing solutions that safeguard data and systems while maintaining a seamless user experience.</li>
<li>You have a &quot;get-things-done&quot; mentality, focusing on fast and impactful delivery, and the proven ability to lead technical initiatives autonomously.</li>
</ul>
Our Diversity, Equity and Inclusion commitments

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you're from, we welcome you to be your true self at Adyen.

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What's next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don't be afraid to let us know if you need more flexibility.

This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.</div>

Senior Forward Deployed Engineer

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Sales
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
We are Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer too, driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good, you've come to the right place.
About the Role
Production experience required. Builder mindset non-negotiable.
Salesforce is hiring Forward Deployed Engineers &mdash; experienced Technical Builders who design, build, and deploy agentic AI solutions directly inside enterprise customer environments. You'll work as part of a delivery team, partnering closely with a Deployment Strategist ( Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption) to co-build solutions that go live in production environments from day one. Engagements range from a single large strategic customer to multiple accounts simultaneously. The common thread is real code, real environments, and measurable business impact. This work spans configuration, customisation, and full-stack deployment &mdash; shipping solutions customers depend on.
The Builder Experience
<ul><li>AI-Powered Development: Ship real customer solutions, supported by best-in-class AI tools &mdash; Cursor, Claude, and Salesforce coding products like Vibes &mdash; embedded into your day-to-day workflow.
</li><li>Collaborative Delivery: You'll work alongside Senior Forward Deployed Engineers and a Deployment Strategist. You'll own real components, benefit from structured mentorship from people who've shipped agentic systems at scale, and have a clear path to leading complex deliveries yourself.
</li><li>Frontier Access: Our agentic AI platform is evolving in real time. You'll work on capabilities most engineers won't touch for months &mdash; spanning Agentforce, data, platform, and headless architectures and your field insight will feed directly to the product teams building them.
</li><li>Continuous Innovation: You'll be expected to stay at the forefront, experimenting with emerging AI tools, models, and frameworks, and sharing what you learn with your team and customers.
</li></ul>What You'll Actually Be Building
<ul><li>Develop AI agents and experiences that take real actions for real organisations. Our solutions are in production at some of the largest enterprises on the planet. The work matters because the customers depend on it.
</li><li>Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques.
</li><li>Own technical components end-to-end: from architecture choice to deployed, validated, and observable in production.
</li><li>Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline, validate the output
</li><li>Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes.
</li><li>Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months.
</li><li>Co-build alongside customers and partners, sharing best practices and enablement as you go. Leaving teams more capable after each engagement than before.
</li><li>Surface platform gaps, edge cases, and field insights to senior Engineers and the product team. Your real-world experience is the product feedback loop.
</li><li>Partner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship.
</li></ul>You're Our Forward Deployed Engineer If&hellip;
<ul><li>You have 3+ years of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally in an AI tech stack, full-stack development, or working with frontier models
</li><li>You have a degree in Computer Science or a related field
</li><li>You have prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) &mdash; this is a requirement, not a nice-to-have.
</li><li>You're fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex &mdash; and willing to add to that list as the work demands.
</li><li>You've been hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change.
</li><li>You understand data modeling, APIs, and integration patterns deeply enough to design them, not just consume them.
</li><li>You can hold your own in a room with sales teams and customer architects.
</li><li>You ship quality code and evaluate AI outputs with engineering rigor.
</li><li>You actively tinker with the evolving AI/data landscape &mdash; piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.
</li><li>You thrive in the group chat that's building something, not just talking about it.
</li><li>You're excited to travel ~25% of the time, working directly alongside customers.
</li></ul>Nice-to-Haves
<ul><li>Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist)
</li><li>Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns
</li><li>Hands-on with cloud data platforms (Snowflake, Databricks, BigQuery)
</li><li>Experience across specialist AI delivery areas: data engineering, platform architecture, or headless deployments
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</div>

Forward Deployed Engineer - Netherlands

Convey

<div><div>Why p44LSP.ai?

At project44, we believe in better &mdash; and p44LSP.ai is what better looks like for the logistics service provider market.

For years, project44 focused on global shippers as our core customer. That focus worked. Our Shipper business is a category leader growing 20% year-over-year. That strength is what makes the next chapter possible.

Shippers and LSPs are fundamentally different businesses. Shippers buy logistics software to support their core operations. Logistics Service Providers &mdash; freight forwarders, brokers, and 3PLs &mdash; sell logistics as their product. Their software is their competitive edge. They buy fast, build on APIs and agents, and reward teams that ship in weeks, not quarters.

This is why we created p44LSP.ai: a dedicated, AI-native division built to serve the LSP market with the focus, speed, and resources it deserves. It's the scope and ownership of an AI startup, backed by the infrastructure of a $124M business &mdash; 259K carriers, billions of shipment outcomes, agents in production, and direct access to project44's data graph, carrier network, and enterprise relationships.

This is a small, hand-picked team operating across Chicago, San Francisco, Bangalore, and the EU. Flat org. Forward-deployed engineering. AI coding tools across the workflow. Agents as the product surface. Customers who pilot in weeks and tell you what they think directly.

The LSP market is moving fast. AI agent startups are growing 300%+ year-over-year, and seven of eight sell to LSPs. We have the data position, the platform, the customers, and now the team. We're hiring the engineers who will build it with us.

AI at project44

We expect every project44 team member, regardless of role or function, to actively leverage AI in their day-to-day work. Whether you're building product, serving customers, managing people, or running operations, AI is a tool you're expected to use with intent, curiosity, and judgment. We don't expect everyone to be a data scientist. We do expect everyone to be an intelligent user of AI: able to identify where it adds value, direct it effectively, evaluate outputs critically, and govern it responsibly. We invest in our team's AI fluency because we believe it's a competitive advantage for every person at project44, not just our engineers

If you&rsquo;re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team &ndash; we should talk.

The Role

Most engineers build for customers. FDEs build with them. You'll be embedded directly with high-value LSP accounts &mdash; owning integration architecture, customizing agent workflows, and serving as the ground truth between how LSPs actually operate and how our product team thinks they do. Your job is to transform logistics from a reactive service into a programmable network &mdash; replacing manual workflows with autonomous agent-to-agent coordination. What you learn in the field shapes the roadmap. You ship in weeks, not quarters.

What You'll Work On
<ul>
<li>Own end-to-end integration for dedicated LSP accounts &mdash; configure bi-directional webhooks and event-driven pipelines so AI agents can read, act, and write data into customer TMS, WMS, and ERP systems instantly</li>
<li>Unify disparate customer data into a single actionable signal &mdash; driving dynamic interoperability across core business systems</li>
<li>Customize interfaces and agent logic to fit existing LSP workflows across freight procurement, load tendering, and exception handling &mdash; reducing time-to-value and making adoption feel natural</li>
<li>Feed the right context to agents and debug decisions when they go wrong &mdash; tracing failures back to the specific data point, prompt, or tool use that caused them</li>
<li>Build event-driven pipelines (Kafka/PubSub) that carry agent intent at the scale of millions of logistics events per day</li>
<li>Serve as the ground truth &mdash; we can't build a world-class product in a silo. Your field observations directly inform what gets on the roadmap and when</li>
</ul>
What We're Looking For

Qualifications
<ul>
<li>5+ years in software engineering, solutions engineering, or technical implementation in a customer-facing role</li>
<li>Mastery of API-first design and bi-directional webhook configuration</li>
<li>Experience with event-driven architecture and stream processing (Kafka, PubSub, or similar)</li>
<li>Hands-on integration experience with TMS, WMS, or ERP systems</li>
<li>Strong debugging skills across distributed, agent-driven workflows</li>
<li>Deep domain knowledge in logistics &mdash; freight procurement, load tendering, carrier management, and exception handling. LSP customers don't trust engineers who don't understand their world. You need to speak their language to earn the right to change how they work.</li>
</ul>
Nice to Have
<ul>
<li>Experience with agentic AI systems &mdash; context feeding, prompt engineering, tool invocation, stateful agents</li>
<li>Prior experience in a forward-deployed or field engineering role</li>
<li>Containerization and orchestration (Docker, Kubernetes)</li>
</ul>
How You Work
<ul>
<li>You take ownership of outcomes, not just deliverables</li>
<li>You bring back what you see in the field and use it to make the product better</li>
<li>You move fast, iterate in the open, and don't wait for perfect conditions</li>
<li>You can translate technical complexity to both engineers and LSP operators without losing either audience</li>
</ul>
Work Authorization: Candidates must be authorised to work in the EU/Netherlands without current or future employer-sponsored visa support.

In-office Commitment: Our office is where ideas spark, connections thrive, and innovation comes alive. We are looking for candidates who are enthusiastic and committed to joining our team on-site, in our beautiful headquarters 3 days a week. Together, we&rsquo;re building something extraordinary&mdash;learn, grow, and thrive in our fast-paced, transformative environment.

Diversity &amp; Inclusion

At project44, we're designing the future of how the world moves. As we work to deliver a truly world-class product, we're intentionally building teams that reflect the unique communities we serve. We're focused on creating a company where all team members can bring their authentic selves to work every day.

project44 is an equal opportunity employer. If you share our values and passion for the future of logistics, we'd love to review your application. Even if you don't meet 100% of the requirements, please consider applying &mdash; studies show you can still be a strong candidate at 50%.

For any accommodation needed during the hiring process, please email recruiting@project44.com.</div></div>

Databricks

<div>REQ ID: CSQ427R209
 
 
Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further.
As Manager, Forward Deployed Engineering, you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks' most strategic enterprise customers, you will shape how leading organizations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments.
As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernization programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact.
<h2 class="jobSectionHeader">The impact you will have:</h2>
<ul><li>Oversee regional performance targets including billable utilization, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio.</li>
<li>Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics.</li>
<li>Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification.</li>
<li>Synthesize field insights from your team&rsquo;s engagements to provide direct feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks.</li>
<li>Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution.</li>
<li>Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth.</li>
</ul><h2 class="jobSectionHeader">What we look for:</h2>
<ul><li>4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organizations with a proven track record of building excellence-driven cultures.</li>
<li>5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners.</li>
<li>Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Manufacturing, Finance, Healthcare, Retail, Telco, or Energy.</li>
<li>Strong understanding of technical project delivery, including managing scope, timelines, statements of work (SOWs), and professional services delivery metrics.</li>
<li>Strong stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level.</li>
<li>Familiarity with Databricks, Apache Spark&trade;, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued.</li>
<li>Ability to travel to customer sites and Databricks offices approximately 20% of the time.</li>
</ul><div>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. 
 
 
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></div>

Manager, Forward Deployed Engineering

myTomorrows

<div>About myTomorrows
myTomorrows is a global health tech company dedicated to breaking down barriers for patients seeking treatment options.
We strive to enable earlier and better treatment access by bridging the gap between those searching for possible options, and the companies who develop them. We work closely with patients, healthcare professionals, trial sites, patient advocacy groups, and BioPharma &ndash; connecting key stakeholders in the drug development ecosystem.
We&rsquo;ve developed a cutting-edge AI-powered technology platform that simplifies and streamlines access to drugs in development. To support our users and clients, we have a range of industry-expert specialized teams ready to help. Our services include clinical trial patient recruitment, Expanded Access Program management and Real-World Data collection.
With a global footprint spanning 134 countries, to date we&rsquo;ve supported over 17,000 patients, 3,000 physicians and 350 sites, earning the trust of 60+ BioPharma companies. In October 2025, we closed a &euro;25M investment with Avego Healthcare Capital to fuel our global ambitions and scale the business.
Join us in shaping the future of treatment access - making tomorrow&rsquo;s therapies accessible for people who need them today.<h2 class="jobSectionHeader">
The opportunity: Applied AI Engineer</h2>
As Applied AI Engineer at myTomorrows, you will help us become more AI-native in how we work, build, and deliver value to patients, physicians, trial sites and (bio-)pharma partners. Your primary focus is internal: the teams, workflows, and operational processes inside myTomorrows.
This is not a pure research role, and it is not a &ldquo;prompt engineer&rdquo; role. You are an experienced software engineer who knows how to build reliable systems, and who is experienced with the possibilities created by LLMs, agents, AI-assisted coding, retrieval, workflow automation, and internal tooling.
You will work as part of our AI Acceleration initiative: a small, high-leverage team focused on safely applying AI across the organization. You embed with internal teams, e.g. Operations, Regulatory, Commercial, Marketing, to find the highest-leverage points of intervention, build production-ready solutions, and leave behind systems that teams can own and operate without you.
A key part of the role is not just building things yourself, but helping myTomorrows learn how to build with AI. You will help define reusable patterns, guardrails, evaluation approaches, and engineering practices so that AI-assisted work becomes reliable, secure, maintainable, and scalable.
Given that most of our team is located in the Netherlands, we only consider candidates for this position who live within commuting distance of our office in Amsterdam.<h2 class="jobSectionHeader">
How you work</h2>
Each engagement follows the model of a &ldquo;Forward Deployed Engineer&rdquo;:
Insertion. When you start a mission, you sit with the people who do the actual work: not the people who manage them. You watch, you ask questions, and you map what's really happening: the tools, the manual steps, the tribal knowledge, the workarounds that nobody questions anymore. Your first deliverable is not code. It is a situational awareness map.
Discovery. From that map, you identify the highest-leverage intervention point: not the most technically interesting problem, but the one that, if solved, would make the most visible difference to the most people in the shortest time.
Delivery. You build production-capable solutions on real data with measurable success criteria defined upfront. You identify an internal champion in week one who will own the system after you leave, and you embed them in the work from the start.
Handoff. You leave behind a running system, not a prototype. You leave behind an eval framework and runbook so the system doesn't rot. And you leave behind an AI substrate &mdash; connectors, pipelines, and workflow patterns &mdash; that makes the next mission faster.<h2 class="jobSectionHeader">
What you&rsquo;ll do in this role</h2><ul><li>
Build production-capable AI-enabled internal tools, workflow automations, agents, and integrations that solve real business problems by embedding with internal teams.</li><li>
Use modern LLM capabilities such as structured outputs, tool calling, retrieval-augmented generation, agentic workflows, prompt/context engineering and creating evals.</li><li>
Help teams translate ambiguous business problems into clear, testable, AI-assisted delivery plans.</li><li>
Build backend services, APIs, integrations, and internal applications using modern software engineering practices.</li><li>
Work closely with Product, Engineering, QA, DevOps, Data, Legal, Privacy, and Security to ensure AI-built software is safe, secure, observable, and maintainable.</li><li>
Design and implement evaluation approaches for AI systems, including test sets, human review loops, quality criteria, failure mode analysis, and monitoring.</li><li>
Create reusable playbooks, templates, prompts, Skills, MCPs and examples that help other teams adopt AI effectively.</li><li>
Help assess whether a solution should remain a lightweight internal tool, be transferred to a business owner, be hardened by Product &amp; Engineering, or be stopped.</li><li>
Stay up to date with the rapidly evolving AI engineering landscape and translate relevant developments into practical opportunities for myTomorrows.</li></ul><h2 class="jobSectionHeader">
What you bring to the table</h2><ul><li>
3+ years of professional software engineering experience, ideally in a product, platform, backend, fullstack, startup, or scale-up environment.</li><li>
Strong software engineering fundamentals. You have built and maintained real systems before (and before vibe-coding was thing), and you know that shipping reliable software is about more than generating code.</li><li>
Experience with backend development, ideally with Python and modern API development.</li><li>
Experience with relational databases such as MySQL, PostgreSQL, or Oracle.</li><li>
Experience with cloud platforms such as AWS, Azure, or GCP.</li><li>
Strong understanding of testing, code review, observability, security, documentation, and maintainability.</li><li>
Hands-on experience with the modern essentials of AI agents, agentic engineering and AI coding tools: LLM APIs, agents, RAG, MCPs, Skills, workflow automation and AI-enabled product development.</li><li>
Ability to work independently in ambiguous environments, while communicating clearly with technical and non-technical stakeholders.</li><li>
Strong product sense: you care about solving the actual problem, not just using the newest tool.</li><li>
A pragmatic startup mentality: you can move fast, make sensible trade-offs, and know when to prototype, when to harden, and when to stop.</li><li>
Excellent English communication skills.</li></ul><h2 class="jobSectionHeader">
Nice to have</h2><ul><li>
Experience with FastAPI, Pydantic, SQLAlchemy, uv, ruff, pre-commit, GitHub Actions, or similar tools.</li><li>
Experience with AWS-native architectures, infrastructure as code, Terraform, serverless, Kubernetes, or cloud-native platform work.</li><li>
Experience with frontend development, especially Angular, React, TypeScript, or fullstack personal projects.</li><li>
Experience building internal tools, developer tools, workflow automation, or operations tooling.</li><li>
Experience with AI evaluation frameworks, model monitoring, prompt/version management, or human-in-the-loop review systems.</li><li>
Experience with healthcare, pharma, clinical research, regulated environments, privacy-sensitive data, or compliance-heavy workflows.</li><li>
Experience with tools such as Claude Code, Codex, Cursor, GitHub Copilot, LangChain/LangGraph, LlamaIndex, n8n, or similar AI/workflow platforms.</li></ul><h2 class="jobSectionHeader">
What success in the first 6 months looks like</h2><ul><li>
You have built trust with Product, Engineering, DevOps, Data, and business stakeholders by delivering useful AI-enabled solutions without creating unmanaged technical debt.</li><li>
You have delivered 2-3 high-impact AI Acceleration missions, such as an internal tool, workflow automation, agentic engineering improvement, or AI-assisted product delivery pilot.</li><li>
You have shipped production-capable software with clear ownership, tests, documentation, observability, and security considerations.</li><li>
You have created reusable templates, prompts, scripts, or examples that other teams can use.</li><li>
You have helped teams understand where AI is genuinely useful, where it is not ready yet, and what guardrails are needed.</li><li>
You have contributed to a culture where AI-assisted engineering is judged by objective production outcomes: correctness, security, maintainability, observability, and business value.</li></ul><h2 class="jobSectionHeader">
Current tech stack</h2>
We are fully cloud-native, leveraging AWS and adopting a lean, API-first product development approach driven by modern cloud technologies and thoughtful design practices. Our current Backend Engineer posting describes a stack including Python, FastAPI, Pydantic, SQLAlchemy, MySQL/PostgreSQL, Angular, GitHub Actions, Renovate, ruff, uv, pre-commit, Docker, Docker Compose, Kubernetes, Terraform, DynamoDB, and Neo4j.
As Applied AI Engineer focused on internal use cases, you will often work in lighter-weight stacks like scripts, Skills, MCPs, APIs, workflow tools, internal dashboards rather than full product infrastructure. Familiarity with the product stack is useful context, but your day-to-day tooling will be shaped by the mission.<h2 class="jobSectionHeader">
What we offer</h2><ul><li>
Impactful work that helps patients gain access to potentially lifesaving treatments.</li><li>
A unique opportunity to help define how a HealthTech scale-up becomes AI-native.</li><li>
International work environment, scale-up energy, and a flat organizational structure that encourages creativity and accountability.</li><li>
Competitive salary, annual performance bonus, and an Employee Stock Option Plan.</li><li>
Great career development opportunities in a fast-growing company.</li><li>
Learning and development budget alongside internal knowledge-sharing sessions.</li><li>
Attractive pension plan, full premium covered by myTomorrows.</li><li>
Hybrid working model.</li><li>
Policies to support working parents.</li><li>
Healthy lunch at the thriving Amsterdam office.</li><li>
Unlimited access to professional guidance by certified psychologists via OpenUp.</li><li>
Monthly events hosted by our vibrant Culture Club as well as an annual myTomorrowland company-wide celebration.</li></ul>
Equal opportunities
myTomorrows is an Equal Opportunity Employer and, beyond upholding discrimination-free practices, we are committed to cultivating a workplace where difference and diversity are protected and celebrated. The best work comes from our best selves, and we go to great lengths in supporting our team members to be just that.</div>

Applied AI 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

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

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