member of technical staff, product (ai agents)

(senior) engineer, software ivv test & integration, iris2

(senior) software engineer - robotic applications

(junior) cloud site reliability engineer (network) (m/f/x)

(senior) fullstack engineer (typescript) - client success platform (m/f/x)

member of technical staff, product (ai agents) Jobs in Munich

(senior) engineer, software ivv test & integration, iris2 Jobs in Munich

(senior) software engineer - robotic applications Jobs in Munich

ai engineer (m/w/d)

ai software engineer (f/m/d) Jobs in Munich

ai software engineer (f/m/d)

member of technical staff product ai agents

Clera

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Join a well-funded, early-stage startup bringing AI agents to a highly specialised professional services industry. This is a hands-on, end-to-end engineering role: you will design, build, ship, and continuously improve production AI agents that automate repetitive, high-value workflows for real customers. You will work directly with those customers, translate what you observe into reliable automations, and own everything from prototype to production monitoring.
 <br/>
 <br/>
 The team moves fast, values measurable impact, and expects every engineer to take full ownership of the problems they pick up.
 <br/>
 <br/>
 What You'll Do
 <br/>
 <br/>
 <ul>
  <li>
   Convert observed customer workflows into autonomous AI agents that perform work end-to-end.
  </li>
  <li>
   Collaborate directly with customers to understand their operations, surface automation opportunities, and iterate on solutions.
  </li>
  <li>
   Ship automations that replace hours of manual, repetitive effort and demonstrably improve user efficiency.
  </li>
  <li>
   Own production AI agents across their full lifecycle: build, deploy, monitor, and improve.
  </li>
  <li>
   Run structured experiments with new models, prompting techniques, and use cases; benchmark results and ship what works.
  </li>
  <li>
   Design thoughtful AI &times; Human interfaces that make automation practical and trustworthy for professional users.
  </li>
  <li>
   Instrument systems with observability tooling &mdash; metrics, dashboards, and alerts &mdash; to ensure reliability at scale.
   <br/>
   <br/>
  </li>
 </ul>
 What We're Looking For
 <br/>
 <br/>
 <strong>
  Must-haves (dealbreakers):
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of experience in ML/AI product development, with a strong track record of building and delivering production-grade AI agents.
  </li>
  <li>
   Demonstrated experience shipping LLM-based systems in production (not just prototypes).
  </li>
  <li>
   Proven end-to-end ownership of production AI agents: build &rarr; deploy &rarr; monitor &rarr; improve.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required skills &amp; experience:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong Python programming skills; comfortable shipping production-quality Python code.
  </li>
  <li>
   Experience turning observed real-world workflows into deployable AI automations.
  </li>
  <li>
   Ability to gather requirements directly from customers and translate them into working software.
  </li>
  <li>
   Product-minded approach &mdash; you think about the user experience, not just the model performance.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience designing AI interfaces for human-AI collaboration.
  </li>
  <li>
   Systematic experimentation and benchmarking of models and techniques.
  </li>
  <li>
   Observability and monitoring experience for AI systems (metrics, dashboards, alerting).
  </li>
  <li>
   Background in or exposure to professional services, fintech, or compliance-heavy industries.
   <br/>
   <br/>
  </li>
 </ul>
 Location
 <br/>
 <br/>
 This role is
 <strong>
  on-site in Munich, Bavaria, Germany
 </strong>
 . Candidates must be willing and able to work from the Munich office.
 <strong>
  Visa sponsorship is not available
 </strong>
 &mdash; applicants must already have the right to work in Germany.
 <br/>
 <br/>
 <strong>
  Compensation &amp; Benefits
  <br/>
  <br/>
 </strong>
 Compensation details were not specified for this role. You will be joining an early-stage, seed-funded startup where equity upside and direct impact are significant parts of the overall package. Specifics will be discussed during the interview process.
 <br/>
 <br/>
</div>


Member of Technical Staff, Product (AI Agents)

CLERA

<div><h3 class="jobSectionHeader"><b>About the Role</b></h3><p>
Join a well-funded, early-stage startup bringing AI agents to a highly specialised professional services industry. This is a hands-on, end-to-end engineering role: you will design, build, ship, and continuously improve production AI agents that automate repetitive, high-value workflows for real customers. You will work directly with those customers, translate what you observe into reliable automations, and own everything from prototype to production monitoring.</p><p>
The team moves fast, values measurable impact, and expects every engineer to take full ownership of the problems they pick up.</p><h3 class="jobSectionHeader"><b>
What You'll Do</b></h3><ul><li><p>
Convert observed customer workflows into autonomous AI agents that perform work end-to-end.</p></li><li><p>
Collaborate directly with customers to understand their operations, surface automation opportunities, and iterate on solutions.</p></li><li><p>
Ship automations that replace hours of manual, repetitive effort and demonstrably improve user efficiency.</p></li><li><p>
Own production AI agents across their full lifecycle: build, deploy, monitor, and improve.</p></li><li><p>
Run structured experiments with new models, prompting techniques, and use cases; benchmark results and ship what works.</p></li><li><p>
Design thoughtful AI &times; Human interfaces that make automation practical and trustworthy for professional users.</p></li><li><p>
Instrument systems with observability tooling &mdash; metrics, dashboards, and alerts &mdash; to ensure reliability at scale.</p></li></ul><h3 class="jobSectionHeader"><b>
What We're Looking For</b></h3><p><b>
Must-haves (dealbreakers):</b></p><ul><li><p>
5+ years of experience in ML/AI product development, with a strong track record of building and delivering production-grade AI agents.</p></li><li><p>
Demonstrated experience shipping LLM-based systems in production (not just prototypes).</p></li><li><p>
Proven end-to-end ownership of production AI agents: build deploy monitor improve.</p></li></ul><p><b>
Required skills &amp; experience:</b></p><ul><li><p>
Strong Python programming skills; comfortable shipping production-quality Python code.</p></li><li><p>
Experience turning observed real-world workflows into deployable AI automations.</p></li><li><p>
Ability to gather requirements directly from customers and translate them into working software.</p></li><li><p>
Product-minded approach &mdash; you think about the user experience, not just the model performance.</p></li></ul><p><b>
Nice to have:</b></p><ul><li><p>
Experience designing AI interfaces for human-AI collaboration.</p></li><li><p>
Systematic experimentation and benchmarking of models and techniques.</p></li><li><p>
Observability and monitoring experience for AI systems (metrics, dashboards, alerting).</p></li><li><p>
Background in or exposure to professional services, fintech, or compliance-heavy industries.</p></li></ul><h3 class="jobSectionHeader"><b>
Location</b></h3><p>
This role is <b>on-site in Munich, Bavaria, Germany</b>. Candidates must be willing and able to work from the Munich office. <b>Visa sponsorship is not available</b> &mdash; applicants must already have the right to work in Germany.</p><h3 class="jobSectionHeader"><b>
Compensation &amp; Benefits</b></h3><p>
Compensation details were not specified for this role. You will be joining an early-stage, seed-funded startup where equity upside and direct impact are significant parts of the overall package. Specifics will be discussed during the interview process.</p></div>

JetBrains

<div>
 At JetBrains, code is our passion. Ever since we started, back in 2000, we&rsquo;ve been striving to make the strongest, most effective developer tools on earth. Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs.
 <br/>
 <br/>
 We&rsquo;re building multi-step coding agents that can understand large codebases, plan changes, call tools, and iterate with the user. As a Research Engineer in the Agentic Models team, you&rsquo;ll be responsible for the models, training loops, and evaluation pipelines that power these agents.
 <br/>
 <br/>
 You&rsquo;ll work at the intersection of SFT and RL-style post-training, and product-driven evaluation, using our distributed GPU and MapReduce clusters to ship models into JetBrains products.
 <br/>
 <br/>
 <strong>
  As Part Of Our Team, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and maintain SFT and RL post-training pipelines for multi-step coding agents.
  </li>
  <li>
   Train and adapt LLMs for agent workflows, including planning, tool use, and multi-step interactions inside JetBrains IDEs.
  </li>
  <li>
   Build and develop evaluation and simulation environments where coding agents can act, be measured, and compared on realistic developer tasks.
  </li>
  <li>
   Design evaluation frameworks and metrics for agent behavior, analyze traces and logs, and close the loop from evaluation back into training, data, and reward design.
  </li>
  <li>
   Analyze training and evaluation results to propose and implement improvements to model architectures, training recipes, and datasets.
  </li>
  <li>
   Work with large-scale infrastructure, including distributed training on GPU clusters and large MapReduce-style data processing for pre-training and fine-tuning datasets.
  </li>
  <li>
   Collaborate closely with research, product, and infrastructure teams to turn high-level product visions into concrete models, experiments, and shipped features.
   <br/>
   <br/>
  </li>
 </ul>
 We&rsquo;ll be happy to bring you on board if you have:
 <br/>
 <br/>
 <ul>
  <li>
   Extensive hands-on experience training LLMs (pre-training, fine-tuning, or post-training) in a research or production setting.
  </li>
  <li>
   Deep expertise in modern deep learning frameworks such as PyTorch, and specialized LLM training stacks (e.g. Megatron, NeMo, verl, or similar).
  </li>
  <li>
   Strong theoretical and practical understanding of LLM fundamentals: architectures, tokenization, data pipelines, batching, mixed precision, distributed training, and debugging unstable runs.
  </li>
  <li>
   The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
  </li>
  <li>
   A product-aware mindset &ndash; you care about how developers actually use agents and can translate product needs and failure modes into modeling and evaluation work.
  </li>
  <li>
   At least 3 years of Python experience writing clean, maintainable code in modern ML codebases.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our Ideal Candidate Would Have Experience With
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   ML orchestrators and workflow tools such as Kubeflow, Dagster, Airflow, ZenML, and/or job schedulers like Kubernetes or SLURM.
  </li>
  <li>
   Large-scale data and training pipelines, e.g. MapReduce-style clusters, multi-node GPU training, or workloads on the order of 1M+ CPU/GPU hours.
  </li>
  <li>
   Designing and maintaining evaluation pipelines for LLMs or agents, including metrics, dashboards, experiment tracking, and automated regression checks.
  </li>
  <li>
   AI agent development, such as tool-using agents, planners, or multi-step coding workflows, and familiarity with agentic frameworks or patterns.
  </li>
  <li>
   Experiment tracking and observability using tools like Weights &amp; Biases, MLflow, Langfuse, or similar.
  </li>
  <li>
   Inference optimization and serving optimized models in production.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We are an equal opportunity employer
  <br/>
  <br/>
 </strong>
 We know great ideas can come from anyone, anywhere. That&rsquo;s why we do our best to create an open and inclusive workplace &ndash; one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
 <br/>
 <br/>
 <em>
  We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
  <br/>
  <br/>
 </em>
</div>


Research Engineer (Agentic Models)

BMW Group

<div><div><p><b>INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN.</b></p><p></p><p><br>
At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every opinion is valued. It is only when expertise, highly professional processes and enjoyment of work unite that we can shape the future together.</p><br>
</div><p></p><div><p>Our platform teams build AI-based toolchains that simulate, reprocess and train models on petabyte-scale automotive data &ndash; and we increasingly rely on agentic AI to operate, maintain and improve these toolchains. The glue that makes agents effective is context: the right knowledge, delivered at the right time, in the right shape. We are looking for an engineer who can design and evolve the knowledge-management and context-engineering backbone that powers both our product (an inter-domain multi-agent vehicle system) and our internal development toolchain.</p><p><b>
What awaits you?</b></p><ul><li>
You design and operate knowledge graphs and graph databases that capture domain knowledge, toolchain topology, operational incidents, root-cause analyses and lessons learned &ndash; enabling graph-based retrieval across the organization.</li><li>
Further, you build context-engineering pipelines that dynamically assemble, rank and budget the information supplied to LLM-based agents.</li><li>
Also, you implement feedback loops: coding agents and skills that interact with our toolchain log outcomes, diagnose failures and write findings back into the knowledge graph, making the system progressively more capable.</li><li>
It is your responsibility to develop and maintain ontologies and semantic models for the automotive AI domain &ndash; sensor configurations, simulation scenarios, data-pipeline topology, model lineage &ndash; ensuring consistent vocabulary across teams and tools.</li><li>
You architect agent memory systems (working, episodic, semantic) with appropriate consolidation and retention mechanisms so that long-running agent sessions retain useful experience without context-window bloat.</li><li>
In addition, you evaluate and optimise retrieval quality using relevance, coverage, freshness and redundancy metrics, and run experiments comparing retrieval strategies (dense, sparse, graph, hybrid).</li><li>
You contribute to cost-efficient model selection and context-compression strategies (prompt compression, semantic caching, model routing) to keep latency low and budgets sustainable at scale.</li></ul><p><b>
What should you bring along?</b></p><ul><li>
University degree in Computer Science, Information Science, AI/ML, or a related field.</li><li>
1-3 years of professional experience in knowledge management, knowledge-graph engineering or context engineering for AI/LLM systems.</li><li>
Expert-level programming skills in at least one high-level language (C++, Java, Kotlin or Python).</li><li>
Proficiency in AI-assisted development using coding agents such as Claude Code, GitHub Copilot or OpenCode.</li><li>
Hands-on experience building and querying knowledge graphs (RDF/SPARQL or property graphs) and integrating them with LLM-based retrieval (e.g. GraphRAG, hybrid search).</li><li>
Experience with systems design, particularly for knowledge-intensive or retrieval-heavy architectures.</li><li>
Familiarity with agent memory architectures, ontology design, semantic modelling, graph-based analytics, entity resolution or knowledge-graph embeddings.</li></ul><p>
You enjoy working in an international team and are passionate about software quality? Apply now!</p><p>
Find out more about Artificial Intelligence at the BMW Group here.</p><p><b>
Note: </b>Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.</p><p><b>
What do we offer?</b></p><ul><li>
Challenging projects with which we are shaping the mobility of tomorrow together.</li><li>
Wide range of personal and professional development opportunities.</li><li>
Attractive, fair and performance-related remuneration.</li><li>
High level of job security.</li><li>
Annual special payments such as vacation pay, Christmas bonus, and profit sharing.</li><li>
Flexible working hours including 6 weeks annual leave and overtime compensation.</li><li>
Discounted BMW &amp; MINI conditions.</li><li>
Many other benefits at <b>bmw.jobs/benefits</b></li></ul><p></p><p><b><br>
Start date:</b> from now on
</p><p><b>Type of employment:</b> unlimited<br>
<b>Working hours:</b> Full-time</p><p><br>
If you apply, the next stages of the recruiting process include an online test followed by technical interviews with the hiring manager (either virtual or in person).</p><p><br>
</p><p>You can find helpful tips on your application and the application process.</p><p>
At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.</p></div></div>
<br><div><div>Legal Entity:</div>
<div><div>BMW AG
</div></div><div>Location:</div>
<div>Munich
</div><div>Job Field:</div>
<div>Autonomous Driving
</div><div>Job Id:</div>
<div>185161</div>
<div>Publication Date:</div>
<div>17.04.2026</div></div>

Validation Engineer - Context, Semantics & Memory (f/m/x)

Skalar

<div><p>Build our core AI capabilities from v1 -&gt; v10. Join the early core team of experienced entrepreneurs (scaled to millions of users, $100m+ exits). Build the future of tax &amp; accounting with AI. Build our internal AI agents, influence the AI stack, and lay the foundations for scale. Grow into leadership as we expand across countries. Above-market pay + meaningful equity.</p>
<p><b>
The opportunity</b></p>
<p>
How taxation, accounting and payroll work today is a pain for everyone. Still every business must do it continuously. It is the backbone that our economy runs on.</p>
<p>
Enabled through AI, we are turning this often-painful process into a radically simple experience for our customers, so they can focus on what matters to them: growing their business.</p>
<p><b>
About us</b></p>
<p>
We are a team of experienced entrepreneurs who have scaled businesses to 10s of millions of users, 10s of millions in revenue, multiple countries, and 9-digit exits - and we are just getting started. We are backed by leading venture investors and expanding rapidly.</p>
<p><b>
The role</b></p>
<p>
As our first Senior Data Scientist, you&rsquo;ll be a core part of building the intelligence behind Skalar. We are past the initial founding phase, but we are still very, very early - meaning pretty much everything you touch will involve greenfield building. While we provide a world-class professional service to our customers, automation and AI are at our core. Your work will be the driving force behind automating complex internal tax operations (TaxOps) and building intelligent agents that offer radical simplicity to our team and our customers.</p>
<h2 class="jobSectionHeader"><b>
Aufgaben</b></h2>
<ul><li><b>0 </b><b> 1 and Beyond:</b> Take major AI features and intelligent agents end-to-end (spec  ship  measure), working closely with our Business Automation Managers and Tax experts.</li>
<li><b>Core AI Architecture:</b> Implement robust LLM integrations, RAG pipelines, data models, and prompt management systems; make pragmatic architecture choices with high autonomy.</li>
<li><b>Iterate Fast:</b> Ship AI features fast and iterate quickly based on real user feedback from our internal operations team.</li>
<li><b>Leadership:</b> Hire and mentor junior engineers (if interested); gain leadership experience as we grow.</li>
</ul>
<p><b>Our tech stack (greenfield)</b></p>
<ul>
<li>Prefer boring tech where it matters; innovate where it differentiates (especially in AI).</li>
<li>Current product tech stack (to evolve): TypeScript, Next.js (React), PostgreSQL. You will heavily influence our AI stack (e.g., LangChain/Vercel AI SDK, Vector DBs).</li>
<li>You&rsquo;ll have a strong influence on tech, cloud, and product choices, specifically regarding LLM integration.</li>
<li>Tooling budget for whatever makes you fast. No legacy, no yak‑shaving.</li>
</ul><h2 class="jobSectionHeader"><b>Qualifikation</b></h2>
<ul><li>5+ years of software engineering experience, with a standout, recent focus on applied generative AI.</li>
<li>A bachelor&rsquo;s or master&rsquo;s degree in computer science or a related field</li>
<li>Deep hands-on experience with LLM APIs (such as OpenAI, Anthropic, Gemini), agentic frameworks, and building robust RAG pipelines.</li>
<li>Strong programming skills in Python and curiosity to learn across the stack.</li>
<li>Solid understanding of vector databases (e.g., pgvector, Pinecone) and comfort with cloud basics (AWS/GCP, Docker).</li>
<li>Very good written and verbal communication skills in English and German (min. C1)</li>
<li>You have a valid work permit to work in Germany</li>
</ul><h2 class="jobSectionHeader"><b>Benefits</b></h2>
<ul><li>Unique opportunity to join a company very early which you can shape</li>
<li>Rapid growth path: Grow your career with the growing, AI-first company</li>
<li>Perfect environment to develop relevant skills in a world of AI</li>
<li>Above-market compensation + Equity package, that has the potential to drastically gain in value</li>
</ul><div><ul><li>Jump on an intro call with a recruiter</li></ul>
<ul><li>Get to know a fellow engineer, virtually or in person (up to you)</li></ul>
<ul><li>Meet our whole founding team during a final interview (in-person, ~3h, incl. live coding)</li></ul></div></div>

Senior Data Scientist (m/w/d) mit Fokus AI

recup

<div><h4 class="jobSectionHeader"><b>DEINE MISSION</b></h4><p>
We're building the<b> next-generation backend that powers Germany's largest reusable-packaging network - a circular-economy deposit-return system live across 17,000+ locations. </b>It's a two-track hybrid modernisation (brown and greenfield), cloud-native, event-driven TypeScript platform that runs real-world operational logistics: partners, point-of-sale, returns, billing, and fulfillment at national scale, expanding internationally.<br>
<br>
You'll join as a <b>(senior) engineer (all genders) with real ownership:</b> <b>designing, building and own core services and working directly with our technical lead and peers on architecture. </b>This is not a ticket-taking role - you'll shape the system, not just implement against it.<br>
<br>
<b>What you'll do:</b></p><br>
<ul><li>
Design, build and own core platform services: partner management, point-of-sale, billing and invoicing, returns, fulfillment, and contract management</li><li>
Build event-driven, async-heavy integrations between services and external systems -outbox patterns, queues, retries, dead-letter handling</li><li>
Help drive our international expansion</li><li>
Partner with the technical lead on architectural decisions, data modelling, and the incremental extraction of capabilities from our existing platform into the new one</li><li>
Set the engineering bar-testing, observability, and operational readiness baked in from day one</li></ul><p><b><br>
Our stack:</b></p><ul><li>
Language: PHP (7.1) (current),TypeScript (Nextdirection)</li><li>
Framework: Shopware 5.3 and NestJS</li><li>
Data: Mariadb, PostgreSQL + Prisma</li><li>
Cloud: Google CloudPlatform - Cloud Run, Pub/Sub, Cloud Tasks</li><li>
AI: Claude (Code, Chat and Cowork)</li><li>
APIs: REST</li><li>
Platform: GCP</li><li>
Existing platform (you'll learn its domain): PHP / Shopware the current production system we're incrementally extracting from.</li></ul><p></p><h4 class="jobSectionHeader"><b>
WAS DU MITBRINGST</b></h4><p></p><ul><li>
7&ndash;10 years of backend engineering, with deep production experience in Node.js, TypeScript and substantial hands-on NestJS in production plus ability to work with legacy PP2 (PHP) code</li><li>
Strong system design and execution - you've designed distributed, async/queue-heavy systems and shipped them, not just white-boarded them</li><li>
Solid relational data modelling and SQL (MySQL, PostgreSQL ideally)</li><li>
Comfortable owning a problem end-to-end: design, build, test, ship, operate</li>
Munich-based. This is a hybrid role: 2 days/week in our Munich office, rest remote<br>
<li>
</li></ul><b>
Working with AI coding agents (a real part of this role)</b><br>
<br>
We use AI coding agents (Claude Code) every day as a core part of how we build. We expect you to as well. Concretely, we're looking for someone who:<br>
<ul><li>
has shipped production code with an AI coding agent,</li><li>
can describe their workflow - how they spec, prompt, review, and integrate agent output,</li><li>
has informed opinions on where agents fail and how they guard against it (review discipline, tests, architectural guardrails)</li></ul>
This isn't a buzzword for us - it's how the team works, and our hiring process reflects it (below).<p><b><br>
Nice to have</b></p><ul><li>
Event-driven/ CQRS /outboxexperience</li><li>
Google CloudPlatform</li><li>
Migrationorlegacy-extractionexperience(incrementallyreplacinganoldersystem)</li><li>
Comfortablereadingunfamiliarorlegacycodebases</li></ul><p><b><br>
How we hire</b></p><ul><li>
First Interview with People &amp; Organisation (~25 minutes) - We want to get to know you better in a first meeting and you will get to know RECUP's culture, values and vision and understand yourself better for a mutual fit</li><li>
Meet Hiring Manager (Tech Leader) (~25 minutes) - Understand the RECUP platform from a technical perspective</li><li>
Our take-home case (~55 minutes) is AI-agent-assisted by design - use your preferred agent, as you would on the job. We don't test memorized syntax; we assess engineering judgment: how you specify work, catch and correct the agent, and make architectural decisions. Expect a brief take-home plus a live pairing and design session</li><li>
Meet the Team (Tech Lead and Engineer) + live AI coding session (extension of our take-home test) (~55 minutes) - Experience working with your new team.</li><li>
Meet our Co-CEO (~25 minutes) - Gain insight into our product and business</li></ul><p></p><h4 class="jobSectionHeader"><b>
WAS WIR BIETEN</b></h4><p></p><div><div><div><div><div><div><ul><li>
The opportunity to make an impact at a company that combines economic growth with real, sustainable impact</li><li>
Flexible working models (flexible hours, remote work)</li><li>
Room for development and ownership: you actively shape your area</li><li>
A personal, professional culture and open feedback culture</li><li>
A dynamic, growth-oriented environment in a scale-up phase</li><li>
Partnerships with Wellpass, Urban Sports Club, Open Up and Future Bens</li></ul><p>
You can find all our benefits on our jobs page.</p><p><b>
Want to help us write reusable packaging history?</b><br>
Then we look forward to your application: send us a short, punchy cover letter and your CV via the application form. What matters to us are your skills, your experience and above all whether you identify with our values and company culture. Since we too are not entirely free from unconscious biases, we kindly ask you not to include a photo.</p><p><b>
Where can we still improve?</b><br>
We want to become more diverse because we believe that we can only achieve our vision through diversity, and that innovation can only emerge through diversity. We therefore welcome applications from people with international backgrounds, people of all gender identities, all age groups, people of color, and people with disabilities or chronic illness.</p></div></div></div></div></div></div><p></p><h4 class="jobSectionHeader"><b>
&Uuml;ber uns</b></h4><p><b>
Wozu gibt es RECUP?</b><br>
Wir setzen uns it aller Kraft f&uuml;r eine Zukunft ohne Einwegverpackungen ein und wollen so viele wie m&ouml;glich f&uuml;r Mehrweg begeistern. Mit ca. 20.000 Partnern sind wir Deutschlands f&uuml;hrendes Mehrwegsystem f&uuml;r die Gastronomie &ndash; und wir expandieren weiter in ganz Europa. Denn es liegt jetzt in unser aller Hand, dass unsere Umwelt und unser &Ouml;kosystem zuk&uuml;nftigen Generationen erhalten bleiben.<br>
<br>
<b>Unsere Vision</b><br>
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Senior Backend Engineer (all genders)

SAP Fioneer

<div><p>We are looking for a Senior Endpoint Management Engineer to own, maintain, and evolve the platforms that manage our entire device fleet. You will be the technical authority for two complementary MDM ecosystems &mdash; Microsoft Intune (Windows laptops, iPhones, and iPads) and Kandji / IRU (Apple MacBooks) &mdash; making sure every device is secure, compliant, and effortless to use from day one.</p><p>
This is a hands-on engineering role for someone who treats endpoint management as a product: automated, measurable, and built around the end-user experience. As a financial-services technology (fintech) company operating in a highly regulated industry, we adopt cutting-edge technology to support rapid business growth without compromising on security. You will sit at the center of that mission &mdash; helping shift IT from a reactive, manual support model toward a proactive, automation-driven platform.</p><p></p><b>
Key Responsibilities</b><p><b>
Endpoint &amp; MDM platform ownership</b></p><ul><li>
Administer, maintain, and continuously improve Microsoft Intune (Windows laptops, iPhones, iPads) and Kandji / IRU (Apple MacBooks).</li><li>
Own the full device lifecycle: zero-touch enrollment via Apple Business Manager (ADE) and Windows Autopilot, configuration, app deployment, patching, and retirement.</li><li>
Define and enforce configuration profiles, compliance policies, and baseline standards across all platforms and OS versions.</li><li>
Maintain integrations across the wider stack: Microsoft 365, Microsoft Azure / Entra ID, Microsoft Defender, Cisco Meraki, and Zscaler.</li></ul><p><b>
Automation &amp; AI</b></p><ul><li>
Identify repetitive, manual, and error-prone tasks and replace them with automation (e.g., Intune Proactive Remediations, scripting, Microsoft Graph API, Kandji automation).</li><li>
Champion and implement AI-driven automations &mdash; self-service, self-healing, automated remediation, and assisted support &mdash; to improve the end-user experience and reduce service desk workload.</li><li>
Deliver measurable impact: fewer tickets, faster resolution, and less manual intervention.</li></ul><p><b>
Security &amp; compliance (fintech-grade)</b></p><ul><li>
Implement and maintain Zero Trust controls: Conditional Access, device compliance gating, encryption (BitLocker / FileVault), and least-privilege access.</li><li>
Manage endpoint threat protection through Microsoft Defender and ensure secure connectivity via Zscaler.</li><li>
Align endpoint configuration and evidence with regulatory and audit requirements &mdash; ISO 27001, SOC 2, DORA, and GDPR &mdash; and support internal and external audits.</li></ul><p><b>
End-user experience</b></p><ul><li>
Deliver fast, reliable, zero-touch onboarding so new joiners are productive on day one.</li><li>
Proactively monitor device health and performance; resolve issues before users notice them.</li><li>
Act as the senior escalation point for complex endpoint issues raised by the service desk.</li></ul><p><b>
Collaboration &amp; continuous improvement</b></p><ul><li>
Partner with IT Support, IT Operations, Security, and Infrastructure teams, keeping ownership boundaries and escalation paths clear.</li><li>
Document standards, runbooks, and knowledge-base articles to enable the wider team.</li><li>
Track and report on endpoint KPIs (compliance rate, patch coverage, enrollment success, ticket deflection) and drive continual improvement.</li></ul><br>
<b>
Requirements</b><p><b><br>
Must Have</b></p><ul><li>
3&ndash;5 years of hands-on experience administering MDM / endpoint management platforms in an enterprise environment.</li><li>
Proven expertise with Microsoft Intune across Windows and iOS / iPadOS, and with macOS management via Kandji (or a comparable Apple MDM such as Jamf).</li><li>
Strong working knowledge of Apple Business Manager, Automated Device Enrollment (ADE), and Windows Autopilot.</li><li>
Solid grounding in Microsoft 365 and Microsoft Entra ID (Azure AD), including Conditional Access and compliance policies.</li><li>
Scripting and automation skills (PowerShell, Bash, and/or Microsoft Graph API).</li><li>
Practical understanding of endpoint security and compliance in a regulated environment.</li></ul><p><b>
Preferred / Nice to Have</b></p><ul><li>
Relevant certifications: Microsoft 365 Certified: Endpoint Administrator Associate (MD-102), Apple, or Kandji certifications.</li><li>
Hands-on experience with Microsoft Defender, Cisco Meraki, and Zscaler.</li><li>
Experience applying AI tooling (e.g., Copilot, AI-assisted scripting or support agents) to IT operations.</li><li>
Prior experience in fintech, financial services, or another regulated industry (ISO 27001 / SOC 2 / DORA / GDPR).</li></ul><p><b>
Who You Are</b></p><ul><li>
Proactive &mdash; you anticipate problems and fix root causes instead of reacting to tickets.</li><li>
A team player &mdash; you collaborate openly, share knowledge, and make the whole team better.</li><li>
Forward-looking &mdash; genuinely excited about automation and AI as tools to make IT faster and simpler.</li><li>
Security-minded &mdash; secure by default, with the judgment to balance protection and usability.</li><li>
A clear communicator &mdash; comfortable with technical peers and non-technical end users alike.</li></ul><br>
<b>
Benefits</b><p><br>
Join forces with some of the industry's most brilliant minds in a thrilling venture to shape the ever-evolving financial landscape.</p><p>
Picture an environment that offers the best of both worlds: the agility, enthusiasm, and dynamism of a startup, seamlessly blended with the tried-and-true expertise, robust market presence, and vast customer network of a well-established organization.</p><p>
At SAP Fioneer, you'll thrive in a flexible work setting that not only fosters creativity but also empowers you to think beyond conventional boundaries, bringing fresh concepts to the forefront and challenging the status quo. Here, you'll become an integral part of a diverse and globally connected team that we take immense pride in &ndash; a team that's perpetually expanding and innovating.</p><p>
As a member of our workforce, you'll have the opportunity to carve your own career path, all while enjoying competitive compensation packages and advancement prospects based solely on your achievements.</p></div>

Senior Endpoint Management Engineer

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