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principal applied scientist (f/m/d) Jobs in Munich

principal applied scientist (f/m/d)

senior applied ai / ml application engineer (f/m/x) Jobs in Munich

senior applied ai / ml data engineer (f/m/x) Jobs in Munich

senior data scientist (m/f/d) Jobs in Munich

senior data scientist (m/f/d)

senior data scientist with focus biomarker research (f/m/d - part/full-time) Jobs in Munich

principal applied scientist f m d

Siemens

<div><div><p><b>Transform the everyday</b></p></div><div><div><div><div><p>
Siemens builds the systems the physical world runs on: factories, power grids, buildings, trains, hospitals. Industrial and physical AI is a major opportunity in applied AI, and one of the harder ones to get right. There is a generation of AI-powered products to build.</p><p>
We are an applied science organization building the science behind them. The work sits at the intersection of machine learning research, real world data, and production systems running in industrial environments.</p><p>
As Principal Applied Scientist, you lead the science on a major capability area inside the pod. You take ambiguous problems through hypothesis, method selection, experimentation, and into models that run in production. You are hands on with the modeling, and you are accountable for the rigor and the outcome.</p><p>
This is a senior individual contributor role. You will work in close partnership with engineers and product managers who turn your work into product.</p><div><b>
As part of our team, you will have</b></div></div></div><p></p><ul><li>
An attractive remuneration package</li><li>
Appealing Siemens pension benefits</li><li>
Access to employee share plans</li><li>
30 days of paid vacation and a variety of flexible work schedules that allow time off for you and your family</li><li>
2 to 3 days of mobile working per week as a global standard</li><li>
Up tp 30 days workation per year in certain countries</li></ul>
Since each of over 300,000 team members feels that other benefits are particularly important, and we cannot list our entire benefit portfolio here, you can find more information here.<br>
<br>
<p>The individual benefits are subject to regulatory, contractual, or corporate conditions.</p><p>
Y<b>ou&rsquo;ll make an impact by</b></p><ul><li>
Own one or more scientific capability areas end to end, for example perception, computer vision, language and agents, time series, control, planning, or evaluation</li><li>
Take problems from ambiguous product or system requirements through clear research questions, hypotheses, and success metrics</li><li>
Lead applied research projects: literature review, method selection, experimentation, ablation, error analysis, and productization</li><li>
Build and run the evaluation pipelines for the work you own: offline metrics, online experiments, robustness testing in industrial conditions</li><li>
Work with engineers to take models into production grade pipelines: data readiness, training infrastructure, inference, observability</li><li>
Make scientific tradeoffs in front of engineers and product managers, with evidence, and translate them into decisions the team can act on</li><li>
Identify and de-risk scaling challenges in your area: data quality, model drift, latency, throughput, cost, safety</li><li>
Raise the bar on experimentation rigor, reproducibility, and documentation across the team</li><li>
Apply responsible AI practices in your work: bias detection, model risk management, human in the loop controls</li></ul></div></div><div><div><p><b>
This how you'll win us over</b></p><ul><li>
Education</li><li><ul><li>
Master&acute;s degree or an equivalent qualification in Computer Science, Machine Learning, or a related field</li></ul></li><li>
Experience &amp; Skills</li><li><ul><li>
8+ years in applied machine learning, AI research, or data science, with models that shipped to production and made an impact</li><li>
Strong foundation in machine learning theory and practice across training, evaluation, and deployment</li><li>
Demonstrated experience taking research from a paper or prototype into a model that runs reliably in production</li><li>
Proficiency in Python and modern ML frameworks and toolchains</li><li>
Strong partnership track record with engineering teams on data, training infrastructure, and inference</li><li>
Clear written and verbal communication with engineers, product managers, and senior leaders</li></ul></li><li>
Preferred Qualifications:</li><li><ul><li>
Experience applying ML in industrial or physical domains: manufacturing, automation, robotics, energy, mobility, infrastructure, healthcare</li><li>
Deep expertise in one of: multimodal ML, generative AI, retrieval augmented generation, agentic workflows, time series, control, or planning</li><li>
Scientific ML for physical systems: surrogate modeling, operator learning, physics-informed ML, geometry-aware ML, differentiable simulation, AI for semiconductor/EDA</li><li>
Hands-on experience building evaluation pipelines, running online experiments, or instrumenting production monitoring for a model you owned</li><li>
Publications, patents, open source contributions, or significant internal technology transfers</li><li>
Experience mentoring more junior scientists and engineers</li><li>
Experience working with globally distributed research, product, or engineering organizations</li></ul></li><li>
Ways of working: You operate with high autonomy, lead scientific excellence, and collaborate closely across engineering and product teams</li><li>
Languages: business proficiency in English</li></ul><div>
You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!</div></div></div><p></p><div><div><p><br>
Your individual personality and perspective are important to us. We create a working environment that reflects the diversity of the society and support you in your personal and professional development. Let&rsquo;s get to know your authentic personality and create a better future together with us. As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.</p><p><b>
About us</b></p><p>
To transform the everyday, you need to think outside the box. That&rsquo;s why we at Siemens are looking for innovators who aren&rsquo;t afraid to push boundaries to join our diverse team of tech experts. Got what it takes? Then help us create lasting, positive change!</p><p>
www.siemens.de/careers &ndash; if you would like to find out more about jobs &amp; careers at Siemens.
</p><p>FAQ &ndash; if you need further information on the application process.</p></div></div></div><div></div>

Principal Applied Scientist (f/m/d)

ARX Robotics GmbH

<div><div><h2 class="jobSectionHeader"><b>About the Role</b></h2>
</div>
<div></div><div><p>As a Field Robotics Software &amp; Communications Engineer (m/f/d), you are the crucial link between our advanced robotics and the real world. You will be the on-site software and communications expert during military exercises, customer demonstrations, and complex integration projects, ensuring our autonomous systems perform flawlessly under the most demanding conditions.</p>
<p>
This role is for a hands-on problem-solver who thrives at the intersection of software, networking, and hardware. You will configure controllers, master tactical communication links, and troubleshoot complex systems directly in the field. Your work ensures our platforms stay connected, intelligent, and mission-ready when it matters most.</p>
</div>
<div><h2 class="jobSectionHeader"><b>What You'll Build</b></h2>
</div><ul><li>Deploy, configure, and validate our robotic platforms at customer sites and during live field exercises.</li>
<li>Master our diverse communication stack, from tactical radios and satellite terminals to secure LTE/5G networks.</li>
<li>Configure mission software and control interfaces to ensure stable and reliable field operations.</li>
<li>Integrate cutting-edge sensors, payloads, and third-party systems using modern APIs and SDKs.</li>
<li>Become the go-to expert for diagnosing and resolving complex software and networking issues under operational pressure.</li>
<li>Empower end-users by providing expert on-site training, scenario support, and technical assistance.</li>
<li>Translate field learnings into actionable feedback for our engineering teams, directly shaping the future of our products.</li>
</ul><div><h2 class="jobSectionHeader"><b>What You Bring</b></h2>
</div><ul><li>A strong technical background in computer science, robotics, or engineering, gained through a degree or equivalent hands-on experience.</li>
<li>Deep knowledge of software and communication systems, ideally applied to robotics or unmanned platforms.</li>
<li>Hands-on experience with embedded Linux, networking fundamentals (TCP/UDP, routing), and scripting (C++/Python).</li>
<li>Practical experience with advanced communication hardware, such as tactical radios, LTE/5G modems, or satellite systems.</li>
<li>The ability to troubleshoot complex, system-level issues that span software, communications, and hardware.</li>
<li>A proactive, hands-on mindset and a genuine passion for solving operational problems in the field.</li>
<li>Clear communication skills in English; proficiency in German is a plus.</li>
<li>Willingness to travel frequently to support missions across Germany and the EU - ideally based in or around Munich.</li>
</ul>
<p></p> <h2 class="jobSectionHeader"><b>Nice To Have</b></h2>
<p></p>
<ul><li>Experience with defense communication systems or mesh networking (MANET).</li>
<li>Knowledge of cybersecurity principles for communication and unmanned systems.</li>
<li>Familiarity with deploying software updates in mobile or field environments.</li>
<li>An understanding of ruggedized hardware and outdoor operational constraints</li>
</ul>
<p>Please note: You do not need to meet every single requirement to apply. We welcome motivated candidates who are eager to grow into the role and develop their expertise further.</p>
<h2 class="jobSectionHeader"><b>
 What We Offer</b></h2>
<p>
Join a mission-driven European defense tech company at a pivotal stage of growth, where you can help shape meaningful technology, take ownership early, and grow with the business!</p>
<ul>
<li>Competitive compensation package including a bonus opportunity</li>
<li>27 vacation days to start, increasing with tenure up to 30 days</li>
<li>Employer-supported pension contribution</li>
<li>Learning &amp; development support and team events budget</li>
<li>Employee discounts and flexible benefits budget via Probonio</li>
<li>Hybrid working setup depending on role and team needs</li>
<li>Structured salary bands, levelling framework, and bi-annual development conversations</li>
<li>Referral bonus program, dog-friendly office, and relocation support where applicable</li></ul><p></p><div><h2 class="jobSectionHeader"><b><br>
About Us</b></h2>
<p>
ARX is a dual-use technology company that specializes in developing autonomous unmanned systems and sensors for the European defence sector. Our dual-use unmanned ground systems and sensors assist NATO Armies and civilian first responders in tackling their most challenging problems by providing them with training and information to make better decisions and take effective actions in life-or-death situations.<br>
<br>
As our team continues to expand rapidly, we are seeking motivated candidates who are excited to work in a highly energetic, creative, and innovative team dedicated to developing autonomous systems for challenging environments. We operate in a dynamic sector where collaboration, sharing innovative ideas, and developing novel problem-solving strategies are ingrained in our work culture.<br>
<br>
If you are passionate about overcoming challenges that have a real impact on the security of our democracies, apply here to join ARX and help shape the future of dual-use technology!<br>
<br>
ARX is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply.</p>
<p>
You can find ARX Robotics Applicant Privacy Policy here.</p></div></div>

Field Robotics Software & Communications Engineer (m/f/d)

Manex AI

<div><h1 class="jobSectionHeader"><b>AI Software Engineer - Internship (f/m/d)</b></h1><div></div><p><b><br>
About Us</b><br>
Manex AI is on a mission to enable autonomy for the world's leading organizations, currently building the production system for the era of autonomous manufacturing. With our Seed Round raised from Lightspeed and BlueYard and leading manufacturing enterprises relying on our systems, we are now scaling fast. For our world-class team, we are looking for exceptionally driven students who want real ownership early.</p><p><b>
Your Role</b><br>
You will build the software and AI applications that power autonomous manufacturing. You work on our platform &quot;Kosmos&quot; alongside our engineers, shipping features and AI-driven solutions that go straight into live production environments at industry leaders including BMW, Audi, BSH, Stellantis, Still, TDK Electronics, and Co.</p><p>
From your first week, you own pieces of real problems. You write code that goes into production, you see your work run inside real factories, and you learn exactly how technical decisions create measurable impact for some of the most demanding manufacturers in the world.</p><p>
For interns who deliver, this is the fastest path into a full-time engineering role.</p><p><b>
Your Responsibilities</b></p><ul><li><p>
Build software and AI application features within real customer projects</p></li><li><p>
Work alongside senior engineers to troubleshoot, document, and ship solutions</p></li><li><p>
Support the technical integration of our platform into customer environments</p></li><li><p>
Turn concrete customer requirements into working technical solutions</p></li><li><p>
Learn how production processes, IT infrastructure, and AI products come together</p></li></ul><p><b>
Your Profile</b></p><ul><li><p>
Currently studying Computer Science, Information Systems, or similar, towards the end of your Bachelor's or the start of your Master's</p></li><li><p>
Strong hands-on coding ability, proven through your own projects, ventures, or open-source work</p></li><li><p>
An ownership mindset: you take initiative, move fast, and finish what you start</p></li><li><p>
Ideally strong experience in Python, TypeScript and Docker</p></li><li><p>
Fluent in English and ideally in German as well</p></li><li><p>
Based in Munich or willing to relocate for the duration of the internship</p></li></ul><p>
We appreciate your application even if you don't tick all the boxes.</p><p><b>
What We Offer</b></p><ul><li><p>
Real ownership from day one</p></li><li><p>
A fast-track into a full-time role
</p></li><li><p>Direct mentorship from senior engineers and direct access to founders</p></li><li><p>
Hands-on experience onsite with real customers, real production systems, and frontier AI</p></li><li><p>
A fast-paced environment backed by the world's best investors, with the world's leading organizations as customers</p></li></ul><p><br>
Want to build real things at the edge of industrial AI? Apply now.</p></div>

AI Software Engineer - Internship (f/m/d)

<div><h1 class="jobSectionHeader"><b>AI Software Engineer (f/m/d)</b></h1><div>
</div><h2 class="jobSectionHeader"><b>
About Us</b></h2><p>
Manex AI is on a mission to enable autonomy for the world&rsquo;s leading organizations and is currently building autonomous factories. After raising our Seed Round from Lightspeed and BlueYard and winning leading enterprise manufacturing customers, we are now focused on scaling operations across all departments. With our world-class team, we are looking for the key individuals who will help take us to the next level and build a truly outstanding organization.</p><div><br>
</div><h2 class="jobSectionHeader"><b>
Your Role</b></h2><p>
As an AI Software Engineer, you build the applications that make autonomy real on the factory floor. You work embedded inside the production environments of our customers - industry leaders including BMW, Audi, BSH, Stellantis, Still, TDK Electronics, and Co. - where our platform &quot;Kosmos&quot; meets the messy reality of manufacturing. You take the hardest technical problems our customers have and turn them into working software, powered by data and AI, inside their most critical, high-stakes processes.</p><p>
Most of your time goes into building: developing AI-driven applications, designing the integration architectures around them, and shipping solutions that create measurable impact - while becoming a trusted technical contact for our customers along the way.</p><div><br>
</div><h2 class="jobSectionHeader"><b>
Your Responsibilities</b></h2><ul><li><p>
Direct software and AI application development within customer projects</p></li><li><p>
Troubleshoot, document, co-create solutions alongside senior software engineers, and drive product development</p></li><li><p>
Support technical integration of our platform into customer IT landscapes</p></li><li><p>
Learn how production processes, IT infrastructure and AI products intersect</p></li><li><p>
Translate customer requirements into technical solutions and specifications</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Your Profile</b></h2><ul><li><p>
Degree in Computer Science, Information Systems, or similar</p></li><li><p>
0 to 4 years professional experience or internships in software engineering or similar</p></li><li><p>
Hands-on experience through projects, ventures, or product development</p></li><li><p>
Curiosity for manufacturing, how factories actually run, newest tech, product development, and beyond</p></li><li><p>
Business-fluent in German and English</p></li><li><p>
Based in Munich or willing to relocate, ready to go all-in with us</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
What We Offer</b></h2><ul><li><p>
Unique opportunity to become part of a top-tier team with hands-on responsibility and learn how to build lasting collaborations with leading customers</p></li><li><p>
Mentorship &amp; fast learning curve in a high-impact AI-Startup environment, incl. flat hierarchy, direct access to founders, and fast decisions</p></li><li><p>
Top-of-market compensation with equity package</p></li><li><p>
Develop a best-in-class network (funding, industry, and talent) in Europe and the US</p></li><li><p>
A fast-paced environment backed by the world's best investors with the world's leading organizations as customers</p></li></ul><div></div><p><br>
Are you willing to start contributing to European autonomy at scale? Apply now!</p></div>

AI Software Engineer (f/m/d)

techtree

<p>About the Role</p><p>A leading frontier AI company is looking for an <b>Applied AI Engineer</b> to join their Solutions team in Munich.</p><p>This is a customer-facing technical role, but the balance is heavily technical: roughly 20% involves presales support, onboarding, and client guidance - the other 80% is designing, developing, and deploying AI solutions for B2B enterprise clients.</p><p>Your stakeholders are technical. You won't be simplifying things for non-technical audiences - you'll be working directly with data scientists, software engineers, and CTOs on complex, high-impact implementations.</p><p>This is not a consultancy role. You'll operate with the mindset of a startup CTO embedded in a world-class AI team: owning projects end-to-end, shipping working solutions, and collaborating closely with researchers and product engineers on the company's most challenging customer problems.</p><p>What You'll Do</p><ul><li>Deploy AI solutions into production across various industries, delivering measurable business impact</li><li>Build state-of-the-art GenAI applications - from consumer products to industrial use cases</li><li>Develop complex implementations involving fine-tuning, advanced RAG pipelines, agentic workflows, and custom LLM applications</li><li>Participate in presales calls to understand client needs and provide technical guidance</li><li>Collaborate with researchers and product engineers on the team's most demanding customer projects</li><li>Feed customer insights back into product and model development</li></ul><p>How the Team Works</p><ul><li>What matters is what you ship, not the time you spend on it</li><li>No bureaucracy - you talk to whoever you need to, the best idea wins</li><li>Low ego, high standards; direct, honest feedback</li><li>Unstructured environment where people find joy in ambiguity</li></ul><p>About You</p><ul><li>Fluent in English and <b>German</b> (required for this Munich-based role)</li><li>2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products</li><li>Proven experience implementing AI/ML products with APIs, back-end and front-end interfaces</li><li>Hands-on experience with fine-tuning LLMs, advanced RAG, or agentic use cases</li><li>Deep understanding of machine learning concepts and the algorithms underlying LLMs</li><li>Strong Python coding skills</li><li>Able to explain complex technical concepts clearly to technical audiences</li></ul><p>Nice to Have</p><ul><li>Open-source contributions, especially in the LLM space</li><li>Prior experience as a Customer Engineer, Forward Deployed Engineer, Solutions Architect, or Technical PM</li><li>Experience with PyTorch and deep learning</li></ul><p>Compensation</p><ul><li>Base salary + equity</li></ul><p>Job Type: Full-time</p><p>Pay: 61.504,42&euro; per year</p><p>Application Question(s):</p><ul><li>Cover letter</li><li>Expected Salary</li></ul><p>Work Location: In person</p>

Applied AI 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)

AUGENTIC

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  AUGENTIC - Driven by Technology
  <br/>
  <br/>
 </strong>
 AUGENTIC GmbH having its headquarters in Munich, Germany is a globally operating company in the business of digital identities and the related identity management solutions.
 <br/>
 <br/>
 Our projects range from the supply of components all the way through to turnkey solution projects. Using AUGENTIC&rsquo;s competencies and talents our worldwide government customers have a responsible, trustworthy and competent partner for the secure handling of the identity of their citizens.
 <br/>
 <br/>
 Founded by a team of well-known industry experts, AUGENTIC GmbH combines innovative power with many years of expertise enabling customers to benefit from tailor made solutions of exceptional and lasting quality.
 <br/>
 <br/>
 Our talents are a key asset to the company. Therefore, we put great efforts in individual development plans. So, are you interested in shaping the future and make this world a safer place together with us? You can expect exciting, varied tasks with the opportunity to actively shape the further development of the company.
 <br/>
 <br/>
 <strong>
  BE AUGENTIC!
  <br/>
  <br/>
 </strong>
 We are currently looking for a
 <br/>
 <br/>
 <strong>
  DevOps Engineer (m/f/d)
  <br/>
  <br/>
 </strong>
 <strong>
  for our headquarters in Munich:
  <br/>
  <br/>
 </strong>
 <strong>
  Role Overview:
  <br/>
  <br/>
 </strong>
 We are looking for an experienced DevOps Engineer to design, implement, and maintain the CI/CD pipelines, infrastructure, and automation processes for our on-premises identity management solutions. The ideal candidate will have extensive experience with on-premises environments, infrastructure as code, and security best practices. This role requires a proactive and innovative mindset to optimize system performance and reliability.
 <br/>
 <br/>
 This position is based in Munich, with frequent coordination with international teams and project stakeholders.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Infrastructure &amp; On-Premises Management:
  </li>
  <ul>
   <li>
    Design, deploy, and maintain scalable on-premise infrastructure,
   </li>
   <li>
    Implement Infrastructure as Code (IaC) using Terraform, Ansible, or similar tools,
   </li>
   <li>
    Ensure high availability, resilience, and security of on-premise environments.
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <ul>
  <li>
   CI/CD Pipeline Implementation:
  </li>
  <ul>
   <li>
    Develop and maintain automated CI/CD pipelines for application deployment,
   </li>
   <li>
    Integrate automated testing, security scans, and monitoring tools into CI/CD workflows.
   </li>
   <li>
    Optimize deployment strategies for minimal downtime and rollback capabilities.
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <ul>
  <li>
   Automation &amp; Configuration Management:
  </li>
  <ul>
   <li>
    Automate deployment, scaling, and recovery processes using scripting languages such as Bash, Python, or PowerShell,
   </li>
   <li>
    Implement containerization and orchestration solutions using Docker and Kubernetes,
   </li>
   <li>
    Ensure seamless integration of DevOps tools into development and operational workflows,
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <ul>
  <li>
   Monitoring, Logging &amp; Performance Optimization:
  </li>
  <ul>
   <li>
    Implement monitoring and logging solutions using Prometheus, Grafana, ELK Stack, or equivalent tools,
   </li>
   <li>
    Analyze system performance metrics and optimize resource utilization,
   </li>
   <li>
    Develop and maintain alerts and dashboards for real-time visibility.
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <ul>
  <li>
   Security &amp; Compliance:
  </li>
  <ul>
   <li>
    Ensure security best practices, including identity and access management (IAM), encryption, and network, security,
   </li>
   <li>
    Implement compliance controls for GDPR, ISO/IEC 27001, and other industry standards,
   </li>
   <li>
    Conduct regular security audits and vulnerability assessments.
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <ul>
  <li>
   Collaboration &amp; Agile Development:
  </li>
  <ul>
   <li>
    Work closely with development, QA, and operations teams to streamline workflows,
   </li>
   <li>
    Participate in sprint planning, retrospectives, and technical discussions,
   </li>
   <li>
    Provide guidance and mentoring to junior DevOps engineers.
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, or a related field,
  </li>
  <li>
   Minimum of 7 years of experience in DevOps, infrastructure engineering, or on-premise environment management,
  </li>
  <li>
   Extensive experience with on-premises infrastructure design and maintenance,
  </li>
  <li>
   Strong proficiency in Infrastructure as Code (Terraform, Ansible, etc.),
  </li>
  <li>
   Experience with containerization (Docker, Kubernetes) and microservices architecture,
  </li>
  <li>
   Knowledge of CI/CD tools such as Jenkins, GitLab CI/CD, or GitHub Actions,
  </li>
  <li>
   Expertise in system monitoring, logging, and observability solutions,
  </li>
  <li>
   Strong scripting skills in Bash, Python, or PowerShell,
  </li>
  <li>
   Familiarity with security best practices in on-premises environments,
  </li>
  <li>
   Excellent problem-solving and analytical skills,
  </li>
  <li>
   Strong collaboration and communication abilities.
  </li>
  <li>
   Fluency in English; knowledge of Portuguese, French, or German is a plus.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A responsible position with room for creativity and development,
  </li>
  <li>
   An international working environment characterized by team spirit and mutual appreciation,
  </li>
  <li>
   An extraordinary and exciting product portfolio,
  </li>
  <li>
   Flat hierarchies,
  </li>
  <li>
   Flexible working hours,
  </li>
  <li>
   Modern office environment,
  </li>
  <li>
   Company Health Insurance
  </li>
 </ul>
</div>


DevOps Engineer (m/f/d)

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