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

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

(senior) software engineer (m/f/d) bess tech team

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

senior devops engineer

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

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

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

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

(senior) software engineer (m/f/d) bess tech team Jobs in Munich

devops platform engineer m f d munich

ProDIG GmbH

<div><div><div>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.

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.

Shape the digital future with us as! 


Salary: approx. &euro;65,000 &ndash; &euro;75,000 gross per annum

Your tasks:
<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> 


Your profile:
<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>Professional proficiency in English and German (C1 or higher).</li>
<li>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.</li></ul> 


Our Benefits:

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.

Contact:

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!

Important note:

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.</div></div></div>

DevOps Platform Engineer (m/f/d) Munich

develop

<div>
 
 
 Senior DevOps Engineer | Munich | IT Consultancy | German (B2+)
 
 
 
 &euro;80,000 - &euro;100,000 per annum
 
 
 
 
 
 
 We're working with a leading IT consultancy in Munich that's looking for a Senior DevOps Engineer to deliver cloud and DevOps solutions across a portfolio of exciting digital transformation projects
 
 
 
 
 
 
 .
 
 What you'll d
 
 
 
 
 
 <ul>
 <li>
 o:
 
 Design and implement scalable cloud and DevOps soluti
 </li>
 <li>
 onsBuild and optimise CI/CD pipelines and Infrastructure as C
 </li>
 <li>
 odeLead DevOps best practices across multiple client engageme
 </li>
 <li>
 ntsWork closely with development, cloud, and platform te
 </li>
 </ul>
 
 
 
 
 
 ams
 
 What we're looking
 
 
 
 
 
 <ul>
 <li>
 for:
 
 Proven experience as a Senior DevOps Eng
 </li>
 <li>
 ineerStrong skills in Kubernetes, Docker, Terraform, and
 </li>
 <li>
 CI/CDExperience with AWS, Azure, o
 </li>
 <li>
 r GCPExcellent stakeholder and consulting s
 </li>
 <li>
 killsGerman language skills at B2 level or above and strong En
 </li>
 </ul>
 
 
 
 
 
 glish
 
 What's on
 
 
 
 
 
 <ul>
 <li>
 offer:
 
 Work on a diverse portfolio of enterprise transformation p
 </li>
 <li>
 rojectsHybrid working in
 </li>
 <li>
 MunichCompetitive salary, benefits, and clear career prog
 </li>
 <li>
 ressionAccess to the latest cloud technologies and certifi
 </li>
 </ul>
 
 
 
 
 cations
 
 Interested? Send me a message on LinkedIn or apply directly to learn more about this oppo
 
 
 
 
 rtunity.
</div>

Senior DevOps Engineer

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)

Manex AI

<div><h1 class="jobSectionHeader">AI Software Engineer (f/m/d)</h1><div>
</div><h2 class="jobSectionHeader">
About Us</h2>
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.<div> 
</div><h2 class="jobSectionHeader">
Your Role</h2>
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.
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.<div> 
</div><h2 class="jobSectionHeader">
Your Responsibilities</h2><ul><li>
Direct software and AI application development within customer projects</li><li>
Troubleshoot, document, co-create solutions alongside senior software engineers, and drive product development</li><li>
Support technical integration of our platform into customer IT landscapes</li><li>
Learn how production processes, IT infrastructure and AI products intersect</li><li>
Translate customer requirements into technical solutions and specifications</li></ul><div> 
</div><h2 class="jobSectionHeader">
Your Profile</h2><ul><li>
Degree in Computer Science, Information Systems, or similar</li><li>
0 to 4 years professional experience or internships in software engineering or similar</li><li>
Hands-on experience through projects, ventures, or product development</li><li>
Curiosity for manufacturing, how factories actually run, newest tech, product development, and beyond</li><li>
Business-fluent in German and English</li><li>
Based in Munich or willing to relocate, ready to go all-in with us</li></ul><div> 
</div><h2 class="jobSectionHeader">
What We Offer</h2><ul><li>
Unique opportunity to become part of a top-tier team with hands-on responsibility and learn how to build lasting collaborations with leading customers</li><li>
Mentorship &amp; fast learning curve in a high-impact AI-Startup environment, incl. flat hierarchy, direct access to founders, and fast decisions</li><li>
Top-of-market compensation with equity package</li><li>
Develop a best-in-class network (funding, industry, and talent) in Europe and the US</li><li>
A fast-paced environment backed by the world's best investors with the world's leading organizations as customers</li></ul><div></div> 
Are you willing to start contributing to European autonomy at scale? Apply now!</div>

AI Software Engineer (f/m/d)

<div><h1 class="jobSectionHeader">AI Software Engineer - Internship (f/m/d)</h1><div></div> 
About Us 
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.
Your Role 
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.
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.
For interns who deliver, this is the fastest path into a full-time engineering role.
Your Responsibilities<ul><li>
Build software and AI application features within real customer projects</li><li>
Work alongside senior engineers to troubleshoot, document, and ship solutions</li><li>
Support the technical integration of our platform into customer environments</li><li>
Turn concrete customer requirements into working technical solutions</li><li>
Learn how production processes, IT infrastructure, and AI products come together</li></ul>
Your Profile<ul><li>
Currently studying Computer Science, Information Systems, or similar, towards the end of your Bachelor's or the start of your Master's</li><li>
Strong hands-on coding ability, proven through your own projects, ventures, or open-source work</li><li>
An ownership mindset: you take initiative, move fast, and finish what you start</li><li>
Ideally strong experience in Python, TypeScript and Docker</li><li>
Fluent in English and ideally in German as well</li><li>
Based in Munich or willing to relocate for the duration of the internship</li></ul>
We appreciate your application even if you don't tick all the boxes.
What We Offer<ul><li>
Real ownership from day one</li><li>
A fast-track into a full-time role
</li><li>Direct mentorship from senior engineers and direct access to founders</li><li>
Hands-on experience onsite with real customers, real production systems, and frontier AI</li><li>
A fast-paced environment backed by the world's best investors, with the world's leading organizations as customers</li></ul> 
Want to build real things at the edge of industrial AI? Apply now.</div>

AI Software Engineer - Internship (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)

Apex.AI

<div>
 
 Want to work on Software-Defined Defense?
 
 
 At Apex.AI, we develop safety-certified software for mobility systems and intelligent machines. Our products power applications in automotive, trucking, robotics, aerospace, agriculture, industrial automation, and defense systems.
 
 
 We are hiring a Senior DevOps Engineer to design and scale Apex.AI's build and release systems. You will architect and implement our build and release system solutions, which impact developer productivity company-wide and ensure that customers receive high-quality products in a timely manner.
 
 
 In this role, you will work directly with European defense customers and internal product teams to design, build, deploy, and Apex.Alan. You will help customers bring real-world systems to production while contributing improvements and features back into our core platform. Find out more about Apex.Alan here and here.
 
 
 This role is located in our Munich office. Authorization to work in Germany and German language skills are required.
 
 
 
 What You Bring
 
 
 
 <ul>
 <li>
 B.S. or higher degree in a technical field with 5+ years of relevant work experience
 </li>
 <li>
 Proven experience working with cloud infrastructure on AWS, Azure, or GCP
 </li>
 <li>
 Proven experience maintaining a cross-platform build system
 </li>
 <li>
 Proven experience managing CI/CD pipelines
 </li>
 <li>
 Proven ability to script in Python and Starlark
 </li>
 <li>
 Proven experience developing Bazel infrastructure
 </li>
 <li>
 Proven experience building C/C++ projects with Bazel
 </li>
 <li>
 Familiarity with GitLab or GitHub
 </li>
 <li>
 Experience navigating Linux-based systems and tools in a terminal
 </li>
 <li>
 Excellent troubleshooting skills
 </li>
 <li>
 Excellent communication skills
 </li>
 <li>
 German language skills
 
 
 
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Experience with infrastructure management tools such as Terraform
 </li>
 <li>
 Experience with Bazel internals
 </li>
 <li>
 Familiarity with releasing code and binaries to customers
 </li>
 <li>
 Familiarity with cross-compilation
 </li>
 <li>
 Experience with the usage of CMake
 
 
 
 
 
 </li>
 </ul>
 Apex.AI is an international software company specializing in the development of safety-certified, developer-friendly, and scalable software for mobility systems, aiming to accelerate the transition to software-defined vehicles and mobility. Founded in 2017 by Jan Becker and Dejan Pangercic, the company is headquartered in Palo Alto, California, with additional offices in Munich, Stuttgart, Gothenburg, Tokyo, and Pangyo. To date, Apex.AI has raised over $75 million USD from world-class venture, financial and strategic investors including AGCO, Airbus Ventures, Canaan, Continental AG, Daimler Truck, HELLA Ventures, Jaguar Land Rover&rsquo;s InMotion Ventures, LG Electronics, Lightspeed, Orillion, Toyota Ventures, Volvo Group Venture Capital and ZF.
 
 
 The company&rsquo;s flagship product, Apex.OS, consists of two core components: Apex.Grace and Apex.Ida.
 
 
 
 <ul>
 <li>
 Apex.Grace is an application runtime framework in the form of a software development kit (SDK). It provides a robust framework for developing real-time, reliable, and safe applications. Core APIs are based on ROS 2 APIs with numerous extensions enabling real-time execution, reliable performance, deployment into large fleets, system state management, safety, security, and much more. It is safety-certified to ISO 26262 ASIL D
 </li>
 <li>
 Apex.Ida is a communication middleware delivering optimal high-performance data transport across use cases. These use cases range from fully autonomous vehicles with dozens of high-resolution cameras to small signals with ultra-high frequencies in safety-critical domains. Its core is based on a shared memory data transport with connectors into DDS, SOME/IP, MQTT, CAN, and many more protocols, all abstracted into a single application-facing API
 
 
 
 
 
 </li>
 </ul>
 Additionally, Apex.AI offers:
 
 
 
 <ul>
 <li>
 Apex.Alan provides customers with a highly optimized and efficient software integration, development environment, build, test, and delivery process
 </li>
 <li>
 Apex.OS for V&amp;V enables record and playback of very large and diverse data streams, both time- and data-deterministically, which is crucial for replay, analysis, and performance evaluation of complex autonomous systems
 
 
 
 
 
 </li>
 </ul>
 Apex.AI&rsquo;s software solutions are utilized across a diverse range of industries, including automotive, agriculture, medical, and defense sectors. The products enable developers to efficiently create and deploy safe, reliable, and high-performance applications, thereby accelerating the adoption of software-defined mobility systems. Through its innovative software solutions and strategic partnerships, Apex.AI is at the forefront of transforming the mobility industry, facilitating the development of next-generation vehicles and systems.
 
 
 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>

Explore 93+ Devops platform engineer m f d munich in Munich this July. Find roles across top companies and apply now to boost your career.

93 devops platform engineer m f d munich jobs In Munich

DevOps Platform Engineer (m/f/d) Munich

Senior DevOps Engineer

DevOps Engineer (m/f/d)

AI Software Engineer (f/m/d)

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

ML Platform Engineer (m/f/d)

Senior DevOps Engineer