director, it engineering - end user support

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

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

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

senior devops engineer

director, it engineering - end user support Jobs in Munich

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

(senior) software engineer (f/m/x) Jobs in Munich

(senior) software engineer (f/m/x)

ai engineer (m/w/d)

engineering manager cloud security m f x

FINN

<div><div><h3 class="jobSectionHeader">Your Role</h3>
</div>
As an Engineering Manager in our Tooling &amp; Security department, you are directly responsible for maintaining and improving our internal tooling, cloud governance and security. You will lead an international, world-class team of engineers, and will help the rest of FINN work efficiently and securely in their day to day jobs.
<h3 class="jobSectionHeader">
Your Mission</h3><ul>
<li>
Hire and lead an incredible team: Be the technical role model and go the extra mile to build, develop, and coach the team members on a daily basis.
</li>
<li>Best software for FINN: Actively contribute to and lead the further development of our internal tooling for cloud governance, security detection and automation, IT management, and much more.
</li>
<li>Strive for excellence: Strive to deliver the best possible user experience and to follow engineering best practices.
</li>
<li>Build it, run it: Build features with a &lsquo;build it, run it&rsquo; mindset and be responsible for testing, deploying, and monitoring your code. We believe in Serverless!
</li>
</ul><h3 class="jobSectionHeader">Your Profile</h3><ul>
<li>
Graduated with a Bachelor&rsquo;s degree (or equivalent) in Computer Science or in a similar field.
</li>
<li>Proven track record with 5+ years of software engineering experience in larger projects.
</li>
<li>2+ years of experience building and leading a team of software engineers in a fast-pace development environment.
</li>
<li>Experience with platform or security engineering practices. Ideally, you have hands-on experience with leading disaster recovery and incident response efforts. (Those are not a daily reality at FINN, but you will be expected to own them if need be.)
</li>
<li>Ability to own and drive company-wide technical projects (e.g., migrations, patching, etc.) from the position of a coordinator.
</li>
<li>Solid knowledge of TS, Python, or Go, with ability to code and review code without AI if need be.
</li>
<li>Deep knowledge of AWS or GCP, and are willing to learn the other quickly.
</li>
<li>Fluent in English with excellent communication skills.
</li>
</ul><h3 class="jobSectionHeader">Why FINN?</h3><div>
<div><ul><li>Remote Work: You have the flexibility to work either in our Munich office or remotely &plusmn;3 hours of the Munich time zone (CET/ CEST) within the EU.</li>
<li>
Shared Success (VSOP Equity Program): We win together. Through our Virtual Stock Option Program, you benefit directly from the long-term growth and success of FINN.
</li>
<li>Fuel your Growth (3.000&euro; Development Budget): Standing still is not an option. With your annual development budget for further training and seminars, you decide how you want to grow personally and professionally.
</li>
<li>Family First (Childcare Subsidy &amp; Flexibility): We support you and your family. Benefit from a monthly childcare subsidy, exclusive access to daycare spots in Munich, and maximum flexibility to balance work and family life stress-free.
</li>
<li>Company Pension Scheme (bAV): We think about your future. FINN subsidizes your company pension plan with a strong employer contribution of 66%.
</li>
<li>Experience our Product (25% Car Subscription Discount): Become a FINN driver yourself! You will receive a generous employee discount or can alternatively take advantage of our attractive bike leasing scheme.
</li>
<li>Health &amp; Mindset (Sports &amp; Wellbeing): Your energy is our drive. Benefit from a subsidized EGYM Wellpass membership for fitness and sports, as well as professional mental health support.
</li>
<li>Munich Office Life: Barista-style coffee, matcha, and a luscious fruit basket await you at our modern headquarters in Munich. On top of that, there is a daily lunch subsidy for those in the office.
</li>
<li>Team Spirit &amp; Corporate Events: We are more than just colleagues. Whether it's summer events by the lake or simply a relaxed after-work drink, we celebrate our milestones together at regular team events.
</li>
</ul></div></div><div>This is the salary range for this position. Additionally, you will benefit from virtual company shares (VSOP - Virtual Stock Option Plan).</div>
<div></div>
<div>Your individual placement within this range will be determined during the application process and is based on your experience, qualifications, and specific expertise. The stated range reflects our current planning at the time of publication; we reserve the right to make future adjustments in line with market developments.</div><h3 class="jobSectionHeader">
About Us</h3>
<div>At FINN, we are building the future of mobility by making car subscriptions more seamless and sustainable than ever before. As Germany's leading platform and fastest-growing startup, we offer you the opportunity to take true ownership and scale a business that is changing how people move. You&rsquo;ll be joining a high-performing team of 350+ colleagues from 50+ nations and we&rsquo;re just getting started! 
More information: www.finn.com</div> 

<h3 class="jobSectionHeader">
Equal Opportunities for Everyone</h3>

FINN is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive environment for all employees. We are open to all groups of people without regard to age, color, national origin, race, religion, gender, sex, sexual orientation, gender identity and/or expression, marital status, or any other legally protected characteristics.<div> 
</div>
<div><h3 class="jobSectionHeader">Ready for the future of mobility? Apply now!</h3>

Come on board and become part of our Hyper-Growth Story! Your first point of contact is Anna - we keep things moving fast and guide you every step of the way. Everything you need to know about our hiring process and company culture is in our Recruiting Booklet.
</div>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

Engineering Manager - Cloud & Security (m/f/x)

BMW Group

<div>
 
 ARE YOU PREPARED FOR THE FUTURE? AI, AI SIR!
 
 
 
 Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good.
 
 
 We are an international team of experts shaping the future of intelligent mobility by developing privacy-first data and model solutions for BMW&rsquo;s next-generation edge AI products. Together, we enable fast iteration and innovation for the BMW Intelligent Personal Assistant.
 
 
 
 What awaits you?
 
 
 
 <ul>
 <li>
 You design data pipelines for ingestion, curation, pseudonymization, and versioning.
 </li>
 <li>
 Furthermore, you implement reproducible training and finetuning builds for GenAI edge device models.
 </li>
 <li>
 You set up experiment tracking and artifact registries for model variants.
 </li>
 <li>
 Additionally, you build evaluation suites covering relevant KPIs such as latency, memory, hallucination, safety, and harms.
 </li>
 <li>
 You optimize dataset construction for small LLMs, including instruction tuning, preference data, and synthetic data with controls.
 </li>
 <li>
 You build and operate the data pipelines and provide self-serve tools for the team.
 
 
 
 </li>
 </ul>
 
 What should you bring along?
 
 
 
 <ul>
 <li>
 University degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 Several years of experience in machine learning engineering with Python (PyTorch) and strong software fundamentals in testing, profiling, and CI/CD.
 </li>
 <li>
 Practical knowledge of evaluation at scale, including golden sets, online metrics, drift detection, and regression testing.
 </li>
 <li>
 Experience with A/B experimentation, basics of causal inference, and privacy-preserving learning patterns.
 </li>
 <li>
 Motivation to embrace customer problems and find innovative solutions using available technologies.
 </li>
 <li>
 You enjoy working on complex problems in an international in-house team of experts.
 </li>
 <li>
 Professional English proficiency; German is a plus.
 
 
 
 </li>
 </ul>
 Are you ready to take proactive action with a hands-on mentality, strong problem-solving skills, and excellent cross-functional communication? Apply now!
 
 
 Find out more about Artificial Intelligence at the BMW Group here.
 
 
 
 Note:
 
 Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.
 
 
 
 What do we offer?
 
 
 
 <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 bmw.jobs/benefits
 
 
 
 </li>
 </ul>
 
 Start date:
 
 from now on
 
 
 
 Type of employment:
 
 unlimited
 
 
 
 Working hours:
 
 Full-time
 
 
 If you apply, the next stages of the recruiting process include online testing and then technical interviews with the hiring manager (either virtual or in person).
 
 
 You can find helpful tips on your application and the application process here.
 
 
 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. Learn more here.
 
 
 Senior Applied AI / ML Data Engineer (f/m/x)
</div>

Senior Applied AI / ML Data Engineer (f/m/x)

osapiens

<div>
 
 Department:
 
 osapiens Terra
 
 
 
 Location:
 
 M&uuml;nchen
 
 
 
 Description
 
 
 
 
 About the role
 
 
 
 As a Machine Learning Engineer (m/f/x), you will work on the machine learning systems powering our geospatial analytics platform. You will contribute to the development, deployment, and improvement of production ML models that analyze satellite imagery and detect environmental risks at scale. You will collaborate closely with product managers, software engineers, and geospatial experts to build scalable ML solutions that support real-world sustainability and compliance use cases. Your work may include improving existing deforestation detection models, developing new deep learning approaches for remote sensing data, and building reliable tooling and infrastructure for model training and deployment.
 
 
 
 Your Responsibilities
 
 
 
 <ul>
 <li>
 Develop, train, and improve machine learning models for geospatial and satellite imagery analysis
 </li>
 <li>
 Contribute to the full ML lifecycle, including experimentation, evaluation, deployment, monitoring, and maintenance
 </li>
 <li>
 Work on production systems that process large-scale satellite and geospatial datasets
 </li>
 <li>
 Collaborate with ML engineers, backend engineers, product teams, and geospatial analysts to deliver reliable analytics products
 </li>
 <li>
 Improve model performance, scalability, and robustness across different geographies and datasets
 </li>
 <li>
 Build and optimize data pipelines, tooling, and workflows for efficient ML development
 </li>
 <li>
 Apply modern deep learning and statistical techniques to remote sensing and environmental data
 </li>
 <li>
 Support rapid experimentation while maintaining production reliability
 </li>
 <li>
 Contribute to technical discussions, code reviews, and engineering best practices
 
 
 </li>
 </ul>
 
 You May Be a Good Fit If You
 
 
 
 <ul>
 <li>
 Have a strong quantitative background in computer science, engineering, mathematics, remote sensing, or a related field
 </li>
 <li>
 Have strong programming skills in Python and hands-on experience with modern deep learning frameworks such as PyTorch or TensorFlow
 </li>
 <li>
 Hands-on experience with MLOps tools such as Weights &amp; Biases, cloud infrastructure including Amazon Web Services, and/or high-performance computing environments
 </li>
 <li>
 Feeling comfortable developing, training, and optimizing machine learning models in production environments
 </li>
 <li>
 Communicate clearly and collaborate effectively across technical and non-technical teams
 </li>
 <li>
 Have experience working with large datasets and distributed data processing workflows
 </li>
 <li>
 Work effectively with AI-assisted development and coding tools
 </li>
 <li>
 Are fluent in English (C1+). German skills are a plus
 
 
 </li>
 </ul>
 Nice to have
 
 
 <ul>
 <li>
 Experience with computer vision tasks such as segmentation, classification, change detection, or time-series analysis
 </li>
 <li>
 Experience working with remote sensing or satellite data (SAR, optical, LIDAR)
 </li>
 <li>
 Familiarity with geospatial data processing libraries and tools
 </li>
 <li>
 Experience deploying ML systems into production environments
 </li>
 <li>
 Understanding of environmental, climate, or sustainability-related use cases
 </li>
 <li>
 Experience translating complex business or regulatory requirements into data-driven solutions
 
 
 </li>
 </ul>
 
 Join us for this and more...
 
 
 
 <ul>
 <li>
 The opportunity to work on meaningful technology with real-world environmental impact
 </li>
 <li>
 A highly technical and collaborative team environment
 </li>
 <li>
 Modern ML infrastructure and large-scale geospatial datasets
 </li>
 <li>
 Ownership and growth opportunities based on your experience and interests
 </li>
 <li>
 Flexible working environment in our Munich office near Sendlinger Tor
 </li>
 <li>
 Competitive compensation and benefits
 </li>
 </ul>
</div>

Machine Learning Engineer (m/f/x) - Geospatial AI

ENTRIX

<div><h4 class="jobSectionHeader">Short Facts</h4>
Join us on our journey: To drive the smart and sustainable energy future, we are looking for a Software Engineering Manager (d/f/m) to oversee strategic tech initiatives from development through to successful execution.<ul><li>
Location: Munich, Germany</li><li>
Employment Type: Full-Time, indefinite term</li><li>
Salary Range: &euro; 115.000 - 135.000 per year gross depending on the seniority level</li><li>
Office-first work setup</li><li>
Language Requirement: C1 Level English</li></ul><h4 class="jobSectionHeader"> 
Your Responsibilities</h4>
Technical leadership<ul><li>
Set direction and strategy for your team while ensuring individual contributors own the design and delivery of their work.</li><li>
Be a technically deep sounding board: engage directly in design discussions, review proposals, and give specific, high quality feedback that sharpens your engineers' decisions.</li><li>
Establish a culture of engineering excellence and ownership with a high bar for quality, reliability, and speed.</li></ul>
AI<ul><li>
Champion AI assisted engineering and set the standard for how tools like Claude are used in daily development.</li><li>
Define and drive the team's AI strategy: identify where AI creates real leverage in our products and workflows, and turn that into measurable outcomes.</li></ul>
People<ul><li>
Coach and grow your engineers, owning their technical development, performance, and career progression.</li><li>
Work closely with recruiters and the leadership team to attract and hire high potential candidates.</li></ul>
Organization and delivery<ul><li>
Find knowledge and skill gaps on the team and actively close them through coaching, hiring, and structural changes.</li><li>
Improve processes to increase speed and effectiveness of delivery, without adding bureaucracy.</li><li>
Partner with executives and leads on decision making, program management, and execution.</li><li>
Track complex dependencies across internal and external teams and keep delivery on course.</li><li>
Shape the company's culture</li></ul><h4 class="jobSectionHeader"> 
Your Profile</h4>
Mandatory Requirements 
<ul><li>
Bachelor's or advanced degree in Computer Science, Software Engineering, or a related tech field</li><li>
5+ years working experience in software development and 2+ years of leadership experience, ideally in backend development and cloud platforms</li><li>
Extensive experience in leading, mentoring, and developing high-performing engineering teams</li><li>
Strong proficiency in backend development: object-oriented programming (e.g. Python), cloud (e.g. AWS), virtualization and containerization (e.g. Docker, Kubernetes), IaC (e.g. CDK), workflow orchestration (e.g. WS step functions), Observability (e.g. Datadog, Loki, Prometheus, Tempo, Grafana)</li><li>
A leadership style built on ownership: you enable engineers to own design and delivery rather than owning it for them.</li><li>
Hands on experience with AI coding tools such as Claude, and a clear point of view on integrating them into engineering workflows.</li><li>
Experience in strategic technical cross team coordination and leadership</li><li>
Ability to identify and track complex dependencies across multiple internal and external teams</li></ul>
Skills to Set You Apart 
<ul><li>
Energy Trading Experience</li><li>
A track record of defining and rolling out an AI adoption strategy for an engineering team.</li></ul>
This role may not be a fit for you if&hellip; 
<ul><li>
You haven&rsquo;t worked in a start-up environment</li><li>
You believe the manager should own the architecture and make the technical calls. Here, that is the engineers' job.</li></ul>
At Entrix, we are committed to diversity - of backgrounds and experiences. You don&rsquo;t need 100% of the preferred qualifications to add incredible value to our team. If you&rsquo;re passionate about what you could accomplish here, we&rsquo;d love to hear from you.<h4 class="jobSectionHeader"> 
Your Benefits</h4><ul><li>
Competitive Compensation Package: Including salary, benefits and options</li><li>
Professional Development: Annual development budget of 3,000 &euro; for coachings, trainings, books, etc.</li><li>
Health &amp; Sport Subsidy: Company subsidised sports facilities membership</li><li>
Public Transportation Subsidy: Monthly subsidy to your public transport ticket</li><li>
Lunch/Dinner Allowance Vouchers: Allowance for meals on working days as digital meal vouchers</li><li>
Work Equipment: Mac Book or Windows Laptop and ergonomic workplace</li><li>
Regular Team Events: Knowledge Sessions, Afterwork, Sports, Offsites, Halloween, Pride Month, etc.</li></ul><h4 class="jobSectionHeader">
A Short Note from Your Future Lead</h4>
Dr. Christian Buckl 
CTO 
 
Hi there! 
I'm Christian Buckl, CTO at Entrix. My professional journey has been deeply rooted in the intersection of technology and industry spanning areas such as autonomous driving and cloud-based systems that serve millions of users. Over the years, I've had the privilege of contributing to various innovative projects and leading teams dedicated to pushing the boundaries of what's possible in our field.<ul><li>
At Lyft (2018&ndash;2024), I initially built the in-car middleware system for autonomous driving. Later, my team and I developed the in-house mapping stack&mdash;including the routing engine and estimated-time-of-arrival (ETA) system&mdash;powering millions of rides.</li><li>
At Apple (2016&ndash;2018), I led a team in the Special Projects Group focused on autonomous systems.</li><li>
At Siemens (2015&ndash;2016), I spearheaded software development for a startup within Siemens, creating a hardware/software platform for autonomous electric vehicles.</li></ul>
Before that, I was a founding member of fortiss, a non-profit research organization in Munich. 
At Entrix, we believe that our success is built on the strength of our team. We foster a collaborative, forward-thinking environment where everyone can thrive and make a meaningful impact. Having spent over eight years working for Silicon Valley companies, I bring that experience to help shape our innovative culture. 
If you're passionate about pioneering technological solutions and eager to be part of a dynamic and international team, I encourage you to explore the opportunities we offer. Together, we can drive innovation and achieve remarkable milestones. 
Thank you for considering a future with us. I look forward to the possibility of working together to shape the future of technology, 
Christian<h4 class="jobSectionHeader">
Your Contact in our People Team</h4>
Your contact person is Carolin Starke (carolin.starke.ext@entrixenergy.com) 
 
We are looking forward to receiving your application!<h4 class="jobSectionHeader">
About us</h4><h4 class="jobSectionHeader">
We are an energy trader and market leader for trading flexible energy systems in Europe.</h4> 
Beyond AI-powered trading, Entrix provides innovative solutions for long-term revenue security and grid-supportive battery operation. With our full-service package, we support customers throughout every project phase &ndash; from technical design and integration, to continuous optimization, all the way to 24/7 operational support. That includes adapting to changing market conditions and unlocking new revenue opportunities. 
 
With more than 2.3 GW and 38 battery storage assets under contract, Entrix is active in Germany, Poland, Italy, Spain, and Portugal, with offices in Munich, Warsaw, Milan, and Madrid. Since 2022, Entrix has been pioneering battery optimization in Germany by managing one of the country&rsquo;s first large-scale storage projects &ndash; and is now the trusted partner of leading infrastructure players such as Encavis, MEAG (Munich Re), as well as a wide range of local utilities.</div>

Software Engineering Manager (d/f/m)

Tangany GmbH

<div>Tangany, based in Munich, is a highly innovative technology company with a market-leading B2B solution for the custody of digital assets on the blockchain (e.g. cryptocurrencies, tokenized assets, NFTs). Our solution is already used by more than 40 institutional customers. Tangany is regulated by the German federal financial supervisory authority, BaFin.

Using our modern blockchain API, we enable our customers to easily and securely integrate blockchain functionalities into their systems. This white-label solution saves high development costs and time, enabling fast market access and easy usability for end users. Regulatory requirements can be covered for appropriate assets via Tangany's crypto custody license if required. For our continued growth, we are looking for a Lead Engineer - Service Platform (f/m/d) to join our team.
<h2 class="jobSectionHeader">
Tasks</h2>
<ul><li>Lead a small but highly effective team of Cloud Platform Engineers, providing technical direction, mentorship, and hands-on leadership.</li>
<li>Design, manage, and continuously improve Tangany's cloud-native platform on Microsoft Azure, ensuring high availability, scalability, and security.</li>
<li>Take ownership of Azure Kubernetes Service (AKS) environments, including cluster architecture, lifecycle management, upgrades, security hardening, capacity planning, and operational excellence.</li>
<li>Administer and optimize GitHub Enterprise and Azure DevOps services, including repository governance, CI/CD platform capabilities, access management, automation, and developer workflows.</li>
<li>Establish and evolve comprehensive observability capabilities using Grafana, Prometheus, Azure Monitor, and related tooling, ensuring actionable monitoring, alerting, logging, and performance insights across the platform.</li>
<li>Collaborate closely with product development teams to improve developer productivity, platform reliability, and overall developer experience through Internal Development Platform (IDP) capabilities.</li>
<li>Support second-line and ISO teams in meeting IT compliance requirements related to security, risk management, business continuity, incident management, ICT outsourcing, and governance.</li>
<li>Drive platform reliability and operational excellence through infrastructure-as-code, automation, standardization, and continuous improvement initiatives.</li>
<li>Take technical ownership of cloud-based platforms and services, ensuring technical quality, maintainability, scalability, and long-term strategic evolution.</li>
</ul><h2 class="jobSectionHeader">Requirements</h2>
<ul><li>10+ years of experience in software development, development operations, and release management.</li>
<li>3+ years of experience in team leadership.</li>
<li>Deep understanding of Microsoft Azure cloud architecture best practices: security, reliability, performance efficiency, operational excellence, and costs management.</li>
<li>Proven experience in building cloud solutions in highly regulated environments.</li>
<li>Hands-on experience in Terraform, Shell scripting, Git-based workflows, CI/CD pipelines implementation.</li>
<li>Enthusiasm for blockchain technologies; blockchain knowledge is a plus.</li>
<li>Excellent communication skills and a collaborative mindset.</li>
<li>Fluent in English (&gt;B2); German is a plus.</li>
</ul><h2 class="jobSectionHeader">Benefits</h2>

Flexibility &amp; Work-Life-Balance:
<ul>
<li>30 days of vacation plus &frac12; day off December 24th and December 31st and additional unpaid leave if needed to recharge your battery.</li>
<li>Two weeks of extra paid vacation for new parents.</li>
<li>Possibility to work from home or any other place within Germany (depending on the role) or in our beautiful and fun office located in the heart of Munich.</li>
<li>Possibility to go on a workation for up to 40 days per year.</li>
<li>Flexible working hours, you work when you are most productive.</li>
</ul>
Your development:
<ul>
<li>It starts from day one: With our onboarding that is tailored to your needs, you will receive a structured onboarding plan and feedback talks within the probation period (and of course after).</li>
<li>We grow and we want you to grow with us. Learning on the job, becoming a blockchain expert, exchanging knowledge with our highly motivated, well-rehearsed team with diverse skill sets, as well as taking part in individual training - our learning culture enables you to bring you personal and professional development to the next level.</li>
<li>Regular feedback meetings: Twice a year we evaluate your career pathway and take the next steps in the right direction.</li>
<li>German language courses: Want to improve your German? Join our in-house language class, offered twice a week on Tuesdays and Thursdays at 6:00 pm.</li>
</ul>
Wellbeing:
<ul>
<li>We offer free yoga classes on Thursdays.</li>
<li>Fun at work: A match with a colleague at our ping pong table, enjoy an after-work drink with your colleagues on our amazing rooftop terrace, take part in our team events.</li>
</ul>
Remuneration and additional benefits:
<ul>
<li>An attractive annual salary in line with the market standards.</li>
<li>Your choice of hardware: Mac or Windows.</li>
</ul>
Attractive benefits? Check!

We believe that motivated employees are the key to success. That&acute;s why we offer flexible, digital benefits through Hrmony to support you in your everyday life.

You&acute;ll receive a monthly budget that you can allocate to your individual needs:
<ul>
<li>Meal allowance: whether for groceries, restaurants, or food delivery</li>
<li>Mobility budget: e.g., for the Jobticket</li>
<li>Non-Cash Benefits: flexible use for streaming, fitness, shopping &amp; more</li></ul></div>

Lead Engineer - Service Platform (f/m/d)

Agile Robots SE

<div>
 
 
 The AI Research Division of Agile Robots
 
 is looking for an
 
 ML Platform Engineer (m/f/d)
 
 , 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.
 
 
 
 
 
 
 Your Responsibilities
 
 
 <ul>
 <li>
 
 Training Infrastructure:
 
 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>
 
 ML Platform:
 
 Build and maintain containerised ML environments that support reproducible experimentation and benchmarking.
 </li>
 <li>
 
 CI/CD Pipelines:
 
 Develop and maintain CI/CD pipelines for machine learning systems to enable reliable testing, training, and deployment of models.
 </li>
 <li>
 
 Lifecycle Management:
 
 Implement experiment tracking, model versioning, and reproducibility workflows using tools such as ClearML or Weights &amp; Biases.
 </li>
 <li>
 
 Observability:
 
 Set up monitoring systems such as Prometheus and Grafana to track model performance and system health and detect drift in production.
 </li>
 <li>
 
 Cross-Team Collaboration:
 
 Work with research, data, and robotics teams to connect new models to robust production systems.
 </li>
 </ul>
 
 
 
 
 
 Essential Skills
 
 
 <ul>
 <li>
 
 Background and Experience:
 
 Degree in Computer Science, Software Engineering, or a related field, with professional experience building and operating ML or software infrastructure in production.
 </li>
 <li>
 
 Distributed Training:
 
 Experience designing and operating distributed training systems on Kubernetes and Docker, using PyTorch Distributed, DeepSpeed, and schedulers such as SLURM.
 </li>
 <li>
 
 CI/CD For ML:
 
 Experience building CI/CD pipelines that support reliable model testing, training, and deployment.
 </li>
 <li>
 
 Cloud Infrastructure:
 
 Experience operating ML workloads on cloud infrastructure, preferably AWS.
 </li>
 <li>
 
 Experiment Tracking:
 
 Hands-on experience with experiment tracking and model versioning using tools such as MLflow or Weights &amp; Biases.
 </li>
 <li>
 
 Observability:
 
 Experience with monitoring and drift detection using tools such as Prometheus and Grafana.
 </li>
 <li>
 
 Software Engineering:
 
 Python and system design skills, with experience building and operating ML systems beyond the prototype stage.
 </li>
 </ul>
 
 
 
 
 
 Beneficial Skills
 
 
 <ul>
 <li>
 
 Multimodal Systems:
 
 Experience with large-scale or multimodal ML systems such as vision-language-action models.
 </li>
 <li>
 
 Infrastructure As Code:
 
 Familiarity with infrastructure-as-code tools such as Terraform.
 </li>
 <li>
 
 ML Orchestration:
 
 Experience with ML pipeline and orchestration tools.
 </li>
 <li>
 
 Distributed Compute:
 
 Exposure to high-performance or distributed compute environments.
 </li>
 </ul>
 
 
 
 
 
 What we offer
 
 
 <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>
 
 
 
 
 
 Agile Robots SE
 
 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.
 
 
 
 
 
 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!
 
 
 We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability.
 
</div>

ML Platform Engineer (m/f/d)

AUGENTIC

<div>
 
 Job Description
 
 
 
 
 AUGENTIC - Driven by Technology
 
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 
 BE AUGENTIC!
 
 
 
 We are currently looking for a
 
 
 
 DevOps Engineer (m/f/d)
 
 
 
 
 for our headquarters in Munich:
 
 
 
 
 Role Overview:
 
 
 
 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.
 
 
 This position is based in Munich, with frequent coordination with international teams and project stakeholders.
 
 
 
 Key Responsibilities:
 
 
 
 <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.
 
 
 </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.
 
 
 </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,
 
 
 </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.
 
 
 </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.
 
 
 </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.
 
 </li>
 </ul>
 </ul>
 
 Requirements
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <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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