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ai platform engineer – developer tools & llm operations (all gender) Jobs in Munich

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platform engineer

Agile Robots SE

<div>
 <p>
  <strong>
   The AI Research Division of Agile Robots
  </strong>
  is looking for an
  <strong>
   ML Platform Engineer (m/f/d)
  </strong>
  , who will build and operate the distributed training, deployment, and experimentation infrastructure that research, data, and robotics teams depend on to move models from prototype to production.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Training Infrastructure:
   </strong>
   Design and scale distributed training workflows for large models using tools such as PyTorch Distributed, DeepSpeed, and cluster schedulers like SLURM or Kubernetes.
  </li>
  <li>
   <strong>
    ML Platform:
   </strong>
   Build and maintain containerised ML environments that support reproducible experimentation and benchmarking.
  </li>
  <li>
   <strong>
    CI/CD Pipelines:
   </strong>
   Develop and maintain CI/CD pipelines for machine learning systems to enable reliable testing, training, and deployment of models.
  </li>
  <li>
   <strong>
    Lifecycle Management:
   </strong>
   Implement experiment tracking, model versioning, and reproducibility workflows using tools such as ClearML or Weights &amp; Biases.
  </li>
  <li>
   <strong>
    Observability:
   </strong>
   Set up monitoring systems such as Prometheus and Grafana to track model performance and system health and detect drift in production.
  </li>
  <li>
   <strong>
    Cross-Team Collaboration:
   </strong>
   Work with research, data, and robotics teams to connect new models to robust production systems.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Essential Skills
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Background and Experience:
   </strong>
   Degree in Computer Science, Software Engineering, or a related field, with professional experience building and operating ML or software infrastructure in production.
  </li>
  <li>
   <strong>
    Distributed Training:
   </strong>
   Experience designing and operating distributed training systems on Kubernetes and Docker, using PyTorch Distributed, DeepSpeed, and schedulers such as SLURM.
  </li>
  <li>
   <strong>
    CI/CD For ML:
   </strong>
   Experience building CI/CD pipelines that support reliable model testing, training, and deployment.
  </li>
  <li>
   <strong>
    Cloud Infrastructure:
   </strong>
   Experience operating ML workloads on cloud infrastructure, preferably AWS.
  </li>
  <li>
   <strong>
    Experiment Tracking:
   </strong>
   Hands-on experience with experiment tracking and model versioning using tools such as MLflow or Weights &amp; Biases.
  </li>
  <li>
   <strong>
    Observability:
   </strong>
   Experience with monitoring and drift detection using tools such as Prometheus and Grafana.
  </li>
  <li>
   <strong>
    Software Engineering:
   </strong>
   Python and system design skills, with experience building and operating ML systems beyond the prototype stage.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Beneficial Skills
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Multimodal Systems:
   </strong>
   Experience with large-scale or multimodal ML systems such as vision-language-action models.
  </li>
  <li>
   <strong>
    Infrastructure As Code:
   </strong>
   Familiarity with infrastructure-as-code tools such as Terraform.
  </li>
  <li>
   <strong>
    ML Orchestration:
   </strong>
   Experience with ML pipeline and orchestration tools.
  </li>
  <li>
   <strong>
    Distributed Compute:
   </strong>
   Exposure to high-performance or distributed compute environments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we offer
  </strong>
 </p>
 <ul>
  <li>
   Dynamic high-tech company combined with financial soundness and world class investors.
  </li>
  <li>
   Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.
  </li>
  <li>
   Lots of development opportunities in the context of our continued growth.
  </li>
  <li>
   Challenging tasks and impactful projects alongside experts that enable professional and personal growth.
  </li>
  <li>
   Corporate Benefits Program that covers health, mobility and learning with 100 &euro; net per month.
  </li>
  <li>
   Modern office facilites with a rooftop terrace overlooking Munich, free drinks &amp; fruits, and regular company events contribute to a good working environment.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Agile Robots SE
  </strong>
  is an international high-tech company based in Munich, Germany with a production site in Kaufbeuren and more than 2300 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state-of-the-art force-moment-sensing and world-leading image-processing technology. This unique combination of technologies allows us to provide user-friendly and affordable robotic solutions that enable intelligent precision assembly.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us!
 </p>
 <p>
  We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability.
 </p>
</div>


ML Platform Engineer (m/f/d)

ProDIG GmbH

<div><div><div><p>With highly motivated people, we develop sophisticated software systems that efficiently create long-term added value for our customers &ndash; this is what ProDIG GmbH stands for. As a digital consulting and service company, ProDIG supports many customers from diverse industries such as banking &amp; FinTech, IT &amp; telecommunications, aerospace and automotive.</p>
<p>
We focus on trust and always have an open ear for our employees and customers. Our values such as humanity, solution orientation and a practical hands-on mentality form the foundation for the development of our young and dynamic company.</p>
<p>
Shape the digital future with us as!</p><br>
<p></p>
<p>
Salary: approx. &euro;65,000 &ndash; &euro;75,000 gross per annum</p>
<p><b>
Your tasks:</b></p>
<ul>
<li>Support the production deployment and operation of Kubernetes-based platforms across AWS and on-premises environments.</li>
<li>Design, implement, and continuously improve scalable, highly available cloud-native infrastructure.</li>
<li>Automate infrastructure provisioning, deployments, and operational workflows using GitOps, CI/CD, and Infrastructure as Code.</li>
<li>Develop and maintain monitoring, logging, and observability solutions to ensure platform reliability and performance.</li>
<li>Support the operation and optimization of MLOps platforms for production machine learning workloads.</li>
<li>Collaborate closely with software development and security teams to implement secure, resilient platform architectures.</li>
<li>Analyze, troubleshoot, and resolve complex infrastructure and platform issues while driving continuous improvements.</li>
<li>Contribute to the implementation of security, compliance, and operational best practices across the platform landscape.</li></ul><br>
<p></p>
<p><b>
Your profile:
</b></p><ul><li>Y Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, Engineering, or a comparable qualification.</li>
<li>Experience in Site Reliability Engineering, Platform Engineering, Infrastructure Engineering, DevOps, or MLOps within complex IT environments.</li>
<li>Strong expertise in operating production Kubernetes platforms across AWS and on-premises infrastructures.</li>
<li>Tech Stack: Kubernetes, AWS, Linux, GitOps, CI/CD, Terraform, Ansible, Helm, ArgoCD and/or Flux, Grafana, Prometheus, Infrastructure as Code; experience with MLOps platforms is advantageous.</li>
<li>Solid understanding of cloud-native architectures, distributed systems, networking, and platform automation.</li>
<li>Knowledge of the German BSI IT-Grundschutz framework is considered an advantage.</li>
<li><b>Professional proficiency in English and German (C1 or higher).</b></li>
<li><b>Employment is subject to the successful completion of a security screening in accordance with applicable national security regulations; eligibility depends on the relevant legal requirements, including nationality-related restrictions where applicable.</b></li></ul><br>
<p></p>
<p><b>
Our Benefits:</b></p>
<p>
It is important to us that you not only develop professionally as part of our team, but also feel good personally. That&rsquo;s why we offer individual benefits that are tailored to your needs &ndash; because with us, you count as a unique person.</p>
<p><b>
Contact:</b></p>
<p>
ProDIG offers you the opportunity of an exciting career in a highly innovative, digital-technological environment. We will be happy to assist and answer your questions at any time. We are looking forward to your application!</p>
<p><b>
Important note:</b></p>
<p>
Please be advised that a valid work permit for Germany is required for non-EU citizens. Unfortunately, applications without a valid work permit and sufficient German language skills may not be considered.</p></div></div></div>

DevOps Platform Engineer (m/f/d) Munich

BMW Group

<div><div><p><b>NEW SOLUTIONS EMERGE WHEN THINKING ISN&rsquo;T HARD-WIRED.</b></p><p>
More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly new solutions. Naturally, this includes flexible working models, so that our IT specialists are free to go in unconventional directions.</p><br>
</div><p></p><div><p>We drive the Data &amp; AI transformation of the BMW Group with innovative platforms, state-of-the-art cloud architecture, and excellent engineering. Together, we create the technical foundation for scalable, secure, and efficient AI solutions across the entire company.</p><p><b>
What awaits you?</b></p><ul><li>
You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.</li><li>
Additionally, you support the entire AI lifecycle &ndash; from data preparation through development and training to the productive operation of machine learning and generative AI solutions.</li><li>
You automate infrastructure, deployments, and workflows using modern DevOps and MLOps approaches (e.g., Terraform, GitHub Actions, SonarQube).</li><li>
Furthermore, you work closely with data scientists, software engineers, and architects to design and implement APIs, services, and platform functionalities.</li><li>
You also ensure the quality, stability, and security of the platform &ndash; including monitoring, observability, logging, compliance, and documentation.</li><li>
Moreover, you engage in the BMW AI Community, share best practices, and promote a positive developer experience.</li><li>
Last but not least, you evaluate new technological trends (e.g., Generative AI, LLMs, RAG, LangChain) and actively contribute your expertise to the further development of our AI landscape.</li></ul><p><b>
What should you bring along?</b></p><ul><li>
University degree in (business) computer science, mathematics, or a comparable qualification with a strong IT focus.</li><li>
At least 5 years of experience in software or platform engineering, ideally in a cloud environment (AWS or Azure).</li><li>
Solid knowledge of CI/CD, automation, and infrastructure as code, ideally with Terraform, Docker, Kubernetes, or similar tools.</li><li>
Experience in building and operating enterprise-wide AI or data platforms with a focus on scalability, performance, and user experience.</li><li>
Practical experience in machine learning or generative AI (e.g., Jupyter, PyTorch, TensorFlow, SageMaker, LangChain, Haystack) together with knowledge in modern programming languages (Python, Java, or Go) and API technologies.</li><li>
Deep understanding of IT security, data protection, and compliance requirements.</li><li>
Very good English skills; German skills are an advantage.</li></ul><p>
Would you like to help drive the Data &amp; AI transformation at BMW Group? 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 through other channels (especially e-mail) cannot be considered.</p><p><b>
What do we offer?</b></p><ul><li>
Challenging projects with which we jointly shape the mobility of tomorrow.</li><li>
Diverse personal and professional development opportunities.</li><li>
Attractive, fair, and performance-based compensation.</li><li>
High job security.</li><li>
Annual special payments such as holiday pay, Christmas bonus, and profit sharing.</li><li>
Flexible working hours including six weeks of annual leave and overtime compensation.</li><li>
Discounted BMW &amp; MINI conditions.</li><li>
Many other benefits at bmw.jobs/benefits</li></ul><p></p><p><b><br>
Earliest starting date: </b>from now on<br>
<b>Type of employment: </b>unlimited<br>
<b>Working hours: </b>full-time</p><p></p><p><br>
When you apply, the next steps in the selection process include an online test followed by interviews with the hiring manager (either virtually or in person).</p><p>
You can find helpful tips on your application and the application process.</p><p>
At 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. More information here.</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>Software Development
</div><div>Job Id:</div>
<div>173222</div>
<div>Publication Date:</div>
<div>21.11.2025</div></div>

Senior AI & Data Platform Engineer (f/m/x)

ALTEN

<p></p><div><div><div><p>Die ALTEN Consulting Services GmbH bietet mit &uuml;ber 20 Jahren Branchenerfahrung ihren namhaften Kunden aus Industrie und Wirtschaft hochspezialisierte Engineering- und IT-Dienstleistungen zur gemeinsamen Realisierung von branchen- und technologie&uuml;bergreifenden L&ouml;sungen an.
<br>
<br>
Kompetenz, Engagement und Leidenschaft verbinden alle unsere Mitarbeiter der ALTEN Consulting Services GmbH. Dabei stehen ein partnerschaftliches Miteinander, ein starkes WIR-Gef&uuml;hl, der pers&ouml;nliche Kontakt zu unseren Kunden und die Kreativit&auml;t jedes Einzelnen stets im Fokus. Werde auch Du Teil unserer Erfolgsgeschichte.</p>
</div></div><p></p><div><div><div><h1 class="jobSectionHeader"><b>AI Platform Engineer &ndash; Developer Tools &amp; LLM Operations (all gender)</b></h1>
<div><p><b>Gehalt: 60.000 - 80.000 Euro, Wochenstunden: 40 Stunden
</b></p><p><b>Standort: 80469 M&uuml;nchen</b>
<br>
Referenznummer: #506289</p>
</div></div></div></div><p></p><div><div><p><b>Make it happen</b></p>
<p><b>DU...</b></p>
<ul><li>administrierst und betreust moderne AI-Cloud-Services wie Cursor und GitHub Copilot</li>
<li>verantwortest den Betrieb und die Weiterentwicklung von Entwicklungsumgebungen wie VS Code, JetBrains und Visual Studio</li>
<li>administrierst und unterst&uuml;tzt AI- und LLM-Inferenzdienste auf Kubernetes-basierten Plattformen wie OpenShift und Linux</li>
<li>arbeitest mit Technologien wie LiteLLM, vLLM, LLM-D und verschiedenen Open-Source-LLMs</li>
<li>testest, bewertest und implementierst neue Softwareversionen und Releases</li>
<li>analysierst Systemfehler, koordinierst die Fehlerbehebung und f&uuml;hrst Troubleshooting-Ma&szlig;nahmen durch</li>
<li>fungierst als zentrale Ansprechperson f&uuml;r externe Software- und Tool-Lieferanten</li>
<li>unterst&uuml;tzt Softwareentwickler bei der Nutzung und Optimierung ihrer Entwicklungswerkzeuge</li>
<li>tr&auml;gst zur kontinuierlichen Verbesserung der Entwicklungs- und AI-Plattformen bei</li>
</ul><p></p><p><b>A home where people learn and thrive</b></p>
<ul><li>Zukunftsorientierter Arbeitsplatz mit unbefristetem Arbeitsvertrag</li>
<li>Attraktive Verg&uuml;tung</li>
<li>Mobiles Arbeiten nach Absprache</li>
<li>Individuelle interne und externe Weiterbildungen</li>
<li>Flexible Arbeitszeitgestaltung mit Gleitzeitkontenregelung</li>
</ul></div><p></p><div><p><b>Be our forward thinker</b></p>
<p><b>DU...</b></p>
<ul><li>hast ein abgeschlossenes Studium der Informatik oder eine vergleichbare Qualifikation</li>
<li>bringst Erfahrung im Umfeld von Softwareentwicklung und Entwicklungswerkzeugen mit</li>
<li>verf&uuml;gst &uuml;ber Kenntnisse im Scripting mit Python</li>
<li>hast Erfahrung in der Administration von Linux- oder Windows-Systemen</li>
<li>interessierst dich f&uuml;r moderne AI-Technologien, Large Language Models und Cloud-Plattformen</li>
<li>kommunizierst sicher auf Deutsch und verf&uuml;gst &uuml;ber Englischkenntnisse f&uuml;r die Zusammenarbeit in einem internationalen Umfeld</li>
<li>arbeitest gerne im Team und &uuml;bernimmst Verantwortung f&uuml;r stabile und zukunftsorientierte Plattformen</li>
</ul></div></div><p></p><div><div><p>Weitere Informationen findest Du unter: <b>www.alten-consulting.de</b><br>
<br>
</p><p></p><br>
<p>Wir wertsch&auml;tzen Vielfalt und begr&uuml;&szlig;en daher alle Bewerbungen - unabh&auml;ngig von Geschlecht, Nationalit&auml;t, ethnischer und sozialer Herkunft, Religion / Weltanschauung, Behinderung, Alter sowie sexueller Orientierung und Identit&auml;t.<br>
<br>
</p><p></p><br>
<p>Schwerbehinderte werden bei gleicher Eignung bevorzugt ber&uuml;cksichtigt.<br>
<br>
</p><p></p><br>
<p>Bewirb dich jetzt &uuml;ber unser Online-Bewerbungsformular.</p>
</div></div><p></p><div><div><h3 class="jobSectionHeader"><b>ALTEN Consulting Services</b></h3>
</div></div><div><div>Frau Anja Manglkammer
<br>
HR Talent Scout Specialist
</div><div>Frankfurter Ring 81
<br>
80807 M&uuml;nchen<br>
<br>
<br>
</div><p>0151 11 44 77 57
<br>
anja.manglkammer@alten-consulting.de</p></div></div><div></div>

AI Platform Engineer – Developer Tools & LLM Operations (all gender)

Autonomous Teaming Solutions

<div><h4 class="jobSectionHeader"><b>What we offer</b></h4><p></p><ul><li>
Work in an international, agile team creating the future of autonomous systems</li><li>
Grow your career in a expanding and ambitious engineering team</li><li>
Build innovative products using state-of-the-art technologies in AI, robotics, and autonomy</li><li>
Benefit from a steep learning curve and continuous development</li><li>
Enjoy team events and a strong, collaborative culture</li></ul><p></p><h4 class="jobSectionHeader"><b><br>
Your mission</b></h4><p>
Build and maintain the systems that allow our robotics software to be reliably developed, tested, and deployed.<br>
<br>
You&rsquo;ll work across CI/CD, build systems, and deployment, helping ensure our autonomy stack runs smoothly from development to real-world operation.<br>
<br>
You will:</p><ul><li>
Design and maintain CI/CD pipelines</li><li>
Improve build systems (CMake, Nix, toolchains, caching)</li><li>
Support deployment across environments (local, cloud, embedded)</li><li>
Work with embedded Linux systems (e.g., Yocto)</li><li>
Develop scripts and automation tools</li><li>
Debug build, integration, and deployment issues</li><li>
Collaborate with robotics, ML, and embedded engineers</li></ul><p></p><h4 class="jobSectionHeader"><b>
Your profile</b></h4><p></p><ul><li>
Strong fundamentals in software engineering (data structures, systems, debugging)</li><li>
Experience with at least one programming language (Python, C++, or Bash)</li><li>
Familiarity with Linux-based systems and development environments</li><li>
Basic understanding of CI/CD concepts and version control workflows (Git)</li><li>
Interest in build systems, automation, and infrastructure</li><li>
Strong problem-solving skills and willingness to learn quickly</li><li>
Structured and reliable working style with attention to detail</li><li><b>
Interest in robotics, embedded systems, or real-world deployment challenges is a strong plus</b></li></ul><p></p><h4 class="jobSectionHeader"><b><br>
Nice to have</b></h4><p></p><ul><li>
Experience with CMake or modern build systems</li><li>
Exposure to Nix or reproducible build environments</li><li>
Familiarity with Yocto or embedded Linux systems</li><li>
Experience with CI/CD tools (GitLab, GitHub, Bitbucket pipelines)</li><li>
Docker or containerization experience</li><li>
Experience packaging applications (e.g., Debian, Snap, AppImage)</li><li>
Basic understanding of toolchains, cross-compilation, or caching strategies</li></ul><p></p><h4 class="jobSectionHeader"><b><br>
What else</b></h4><p></p><ul><li>
Outside-the-box creativity with a blend of conceptual and systematic design thinking.</li><li>
High intrinsic motivation, attention to detail, and strong problem-solving mindset.</li><li>
Structured, methodical, and reliable execution, even under uncertainty.</li><li>
Humble, collaborative, and mission-driven &mdash; values collective success over ego.</li><li>
High ethical standards and disciplined work ethic.</li><li>
Extra-curricular achievements, leadership, or unique projects are a plus.</li><li>
NATO-aligned nationality or close ally citizenship is required.</li></ul><p></p><h4 class="jobSectionHeader"><b>
About us</b></h4><p></p><p>
The world is changing. Exponential technologies are enabling new types of security threats. ATS is committed to staying ahead by building nimble, scalable, and cost-effective defences. We are looking for passionate team members who are eager to create exceptional products, safeguard our freedom, and strengthen the resilience of democracies.</p><p><b><br>
Who we are: </b>Autonomous Teaming is a defence-tech start-up specializing in machine vision solutions. Driven by cutting-edge innovation, our team works on next-generation technologies designed to meet rapidly evolving security challenges.</p><p><b><br>
What we do:</b> We develop systems that enable computers and sensors to operate as coordinated teams, collaborating in real time to counter AI-powered asymmetric threats at scale &mdash; including drone swarms and other UXVs. Our mission is to build resilient, intelligent defence capabilities that perform reliably in the most demanding environments.</p><p><b><br>
How we work: </b>We value close, in-person collaboration as the foundation for building complex, high-impact technology, while maintaining flexibility aligned to role and team needs. Our culture is built on ownership, responsibility, and trust &mdash; with a shared commitment to growing and building together.</p><p><b><br>
Where we are:</b> Based in Munich, Berlin, and Toulouse, we are expanding rapidly across Europe with plans to open additional office hubs.</p></div><p></p>

Platform / DevOps Engineer (m/f/d) — CI/CD & Developer Environments

Scalable

<div><b>Company Description</b><p><br>
Scalable Capital is a leading digital investment and banking platform with a full banking licence, empowering people across Europe to shape their own finances. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs, cryptocurrencies, and derivatives, as well as set up savings plans. Scalable Wealth, the digital wealth management service, offers clients professional investment in ETF portfolios, and is also adopted as a white-label solution by banks and other B2B partners. The company&rsquo;s offerings are rounded off by attractive interest rates, loans, and private equity. With the European Investor Exchange, Scalable Capital offers an exchange specifically for retail investors. Over one million clients have already entrusted more than &euro;30 billion to the platform.<br>
<br>
Founded in 2014, Scalable Capital now employs over 700 people across Munich, Berlin, Vienna, Milan, and London. Together with the founding and management team, including Erik Podzuweit and Florian Prucker, they are working on a new generation of financial services.</p><p>
Visit our finance blog or check out our Social Media channels to find out what our Expert Teams have to say.<br>
<br>
Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values here (English).</p><b><br>
Job Description</b><p><br>
You will join the Client Technology Tribe and become part of our Client Success Platform team.</p><p>
The team&rsquo;s mission is: to provide the technology for an outstanding customer support experience to millions of Scalable clients. Our foremost strategy is to proactively prevent support cases where feasible by empowering our clients to find solutions independently. We also provide tools and analytics that enable everyone within Scalable to effectively minimise support cases in their areas of expertise.</p><p>
In this role, you will work on client-facing support journeys as well as internal platforms and services. You will help build and improve support workflows, document and case handling, chatbot and capability integrations, and the technical foundations needed to operate these systems securely and reliably in a regulated environment.</p><p>
A big part of this role requires a strong product mindset: you will move fast to ship high-impact, client-facing experiences while maintaining a rigorous platform standard. Instead of choosing between quick one-off fixes or endless over-engineering, you will strike the right balance delivering immediate value to our Customers while designing the reusable capabilities, extensible workflows, and robust integration patterns that ensure long-term architectural quality.</p><p>
AI is a core part of how we work and what we build: from internal engineering workflows to support automation and new client-facing capabilities, you will work hands-on with modern AI tooling and help deliver AI-powered features with real impact.</p><p>
You will collaborate closely with Product, Operations, Support, Design, Data Science, and other engineering teams to deliver measurable improvements in support quality, case prevention, deflection, and operational efficiency.</p><p><b>
Your Responsibilities</b></p><ul><li>
Build and improve high-quality client-facing experiences and internal tooling that support self-service, case prevention, and efficient support operations.</li><li>
Work across the stack on frontend applications, backend services, APIs, integrations, event-driven workflows, and cloud infrastructure.</li><li>
Design and implement scalable solutions for support workflows, document handling, automation, and cross-service orchestration.</li><li>
Partner closely with Product, Operations, Support, and other engineering teams to deliver solutions with clear business and client impact.</li><li>
Contribute to observability, analytics, experimentation where relevant, and operational excellence across support-related systems.</li><li>
Write clean, testable, maintainable, and well-documented code while treating security, privacy, and reliability as first-class concerns.</li><li>
Take ownership from idea to production, helping the team ship pragmatic solutions without compromising engineering quality.</li><li>
Contribute to continuous improvement in architecture, testing, monitoring, and developer experience.</li><li>
Help shape technical direction, mentor teammates, and raise the engineering bar within the team.</li></ul><br>
<b>
Qualifications</b><br>
<ul><li>
A university degree in Computer Science, Engineering, or a related field, or comparable practical experience.</li><li>
Strong hands-on experience with TypeScript, React, Next.js and NestJS, building polished, production-grade customer-facing applications across frontend and backend systems.</li><li>
Solid frontend experience with modern web application development.</li><li>
Practical backend experience building and integrating production services experience with Java and/or Kotlin is a plus.</li><li>
Good understanding of REST APIs, GraphQL, authentication and authorisation patterns including JWT, and service-to-service integrations.</li><li>
Experience working with distributed systems, asynchronous workflows, queues, or event-driven architectures is a strong plus.</li><li>
Good working knowledge of AWS, Docker, Git, CI/CD, and observability/debugging in production.</li><li>
Experience delivering complex software with end-to-end ownership, ideally across internal tooling, platforms, or customer-facing products.</li><li>
Strong analytical thinking in both technical and product contexts, with the ability to make pragmatic trade-offs.</li><li>
Clear, open, and concise communication skills, with professional fluency in English.</li><li>
Experience in regulated environments, support tooling, workflow automation, or operationally critical systems</li></ul><br>
<b>
Additional Information</b><br>
<ul><li>
Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers</li><li>
Work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients</li><li>
Be productive with the latest hardware and tools</li><li>
Learn and grow by joining our in-house knowledge sharing or career development sessions and spending your individual Education Budget</li><li>
Learn and experience German culture first hand by joining our free German language classes</li><li>
International relocation support is provided if required</li><li>
Opportunity to work from abroad</li><li>
Benefit from an attractive compensation package and from the company pension scheme</li><li>
Monthly contribution of 50% for the &lsquo;Deutschland Jobticket&rsquo;</li><li>
Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capital's PRIME+ Broker</li><li>
Enjoy flexible and discounted sports activities with Urban Sports Club</li></ul></div>

(Senior) Fullstack Engineer (TypeScript) - Client Success Platform (m/f/x)

NavVis

<div>
 <strong>
  OUR VISION
  <br/>
  <br/>
 </strong>
 When people use our technology to "bridge the gap" between the physical and digital worlds, they don't just capture reality - they create a new one. In this new reality, they are smarter, more productive, more streamlined, and more creative - because they have the digital foundation to build the world they want to live in.
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 That's what NavVis offers in all our products and services: the tools to not just map the world as it is, but to pave the way to a better future. To forge something new. Physical or digital, there is only one reality. And it's the reality NavVis empowers people to build better.
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 <br/>
 <strong>
  THE OPPORTUNITY
  <br/>
  <br/>
 </strong>
 As a DevOps Engineer on our Cloud Infrastructure team, you'll help shape the future of our delivery platform in a modern AWS and Kubernetes environment. You'll take ownership of our CI/CD ecosystem, champion GitOps practices, and partner closely with engineering teams to streamline and modernize how software is delivered &mdash; including driving our migration from TeamCity to GitHub Actions. This is a hands-on, high-impact role where you'll reduce friction, enable self-service, and accelerate engineering velocity across the organization.
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 <strong>
  How You Will Make An Impact
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  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain scalable CI/CD pipelines using GitHub Actions across multiple development teams
  </li>
  <li>
   Support migration from TeamCity to GitHub Actions, providing best practices and hands-on implementation guidance
  </li>
  <li>
   Own and evolve GitOps workflows using Argo CD to improve deployment reliability and consistency
  </li>
  <li>
   Partner with engineering teams to optimize pipelines, reduce operational toil, and enable self-service delivery
  </li>
  <li>
   Work with Kubernetes workloads on EKS, deploying, troubleshooting, and maintaining services in a containerized environment
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Will Help You Succeed In The Role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong hands-on experience with GitHub Actions and TeamCity
  </li>
  <li>
   Experience with pipeline-as-code and version-controlled CI/CD configurations
  </li>
  <li>
   Solid understanding of GitOps principles and hands-on experience with Argo CD
  </li>
  <li>
   Working knowledge of AWS (IAM, EC2, S3, VPC, EKS) and Terraform
  </li>
  <li>
   Practical Kubernetes experience in a cloud-managed environment and scripting skills (Python, Go, or Bash)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  NICE TO HAVE
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with observability and logging tools (Elastic Stack, Grafana, Prometheus, Datadog)
  </li>
  <li>
   Familiarity with distributed tracing concepts (e.g., OpenTelemetry)
  </li>
  <li>
   Experience working with Helm charts for Kubernetes deployments
  </li>
  <li>
   Exposure to internal developer portals (e.g., Backstage)
  </li>
  <li>
   Experience working in a Platform or DevOps team supporting multiple engineering teams
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  How We Will Know We Are a Perfect Match
  <br/>
  <br/>
 </strong>
 Your recruiting partner for this role is Sylvie (she/her). You can expect to go through a screening call, and up to 4 rounds of interviews, where we would love to discover your passion and interests, introduce you to who we are and what drives us, and finally understand how we can potentially add value to each other's growth.
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 <br/>
 <strong>
  How We Will Keep You Smiling
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   It's important to take a break from work! We offer 30 days of paid time off per year
  </li>
  <li>
   Affordable access to a vast network of fitness and wellness facilities through EGYM Wellpass subsidy
  </li>
  <li>
   Deutschlandticket subsidy to support sustainable travel using public transport
  </li>
  <li>
   We offer flexible working hours and a hybrid work setup, enabling you to plan your work around your life, and not your life around work!
  </li>
  <li>
   We offer full visa and relocation support for international candidates
  </li>
  <li>
   An attractive bike leasing model through JobRad, in line with our commitment towards sustainable mobility
  </li>
  <li>
   A competitive compensation package that values the skills and experience you bring
  </li>
  <li>
   Up to 4000 EUR employee referral bonus
  </li>
  <li>
   Financial support for local language classes to help you in your journey of integrating into the culture!
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 NavVis is a technologically-focused, global leader in reality capture and digital factory solutions. Prominent manufacturers and laser scanning professionals around the world trust our ground-breaking technology, designed to capture and share the built environment as photorealistic digital twins. By bridging the physical and digital worlds, we're helping organizations make smarter decisions and build more efficient, connected operations.
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 With over 300 people from around 60 nationalities and offices around the globe, we're proud to be a truly international and diverse place to work. As a scaling company, we bring together the agility, innovation, and entrepreneurial mindset of a startup with the professionalism and reliability of an established enterprise &mdash; offering our team the best of both worlds.
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 You'll be part of an open culture that values trust, collaboration, and transparency. We are proud of our environment where diverse talent can thrive and where feedback fosters individual growth and development. Do you share our passion for disruptive technology and want to be part of our dynamic journey? At NavVis, you'll own your projects, bring innovative ideas to life, and have real opportunities to grow your career and be recognized for your impact.
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 <br/>
 <strong>
  We derive our strength from our diversity.
  <br/>
  <br/>
 </strong>
 NavVis' unwavering commitment to fostering an inclusive and diverse workplace has laid the foundation for our incredible growth. We thrive on the collective strength of our people who come from diverse backgrounds. We respect and value every experience associated with race, gender identity, sexual orientation, nationality, religion and disability. We do not discriminate on the basis of any of these, or other identities, and strongly encourage everyone to apply.
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 <br/>
 <strong>
  Together with you, we build NavVis!
  <br/>
  <br/>
 </strong>
 If you need assistance at any stage of the recruiting process due to a disability, please reach out to your recruiting partner(s) for this position.
</div>


DevOps Engineer (f/m/d)

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