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

(senior) cloud site reliability engineer (scalability) (m/f/x)

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

director, it engineering - end user support

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

senior devops engineer

senior software engineer

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

(senior) cloud site reliability engineer (scalability) (m/f/x) Jobs in Munich

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

junior cloud site reliability engineer network m f x

Capmont

<div>
 Search
 
 
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 Explore
 
 
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 Join talent network
 
 
 Talent
 
 
 AI Software Engineer (f/m/d)
 
 
 Manex AI
 
 
 Software Engineering, Data Science
 
 
 Munich, Germany
 
 
 Posted on Jun 30, 2026
 
 
 Apply now
 
 
 
 AI Software Engineer (f/m/d)
 
 
 
 
 About Us
 
 
 
 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.
 
 
 
 Your Role
 
 
 
 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 "Kosmos" 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.
 
 
 
 Your Responsibilities
 
 
 
 <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>
 
 Your Profile
 
 
 
 <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>
 
 What We Offer
 
 
 
 <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>
 Are you willing to start contributing to European autonomy at scale? Apply now!
 
 
 Apply now
 
 
 See more open positions at Manex AI
</div>

AI Software Engineer (f/m/d)

NVIDIA

<div>Site Reliability Operations (SRO) is NVIDIA IT's global enterprise support organization, serving as the first point of contact for enterprise IT services while engineering streamlined, scalable solutions that improve the employee experience. Rather than simply resolving tickets, SRO drives operational excellence by consolidating support functions, automating repetitive work, and returning engineering capacity while improving operational reliability across our global 24x5 support model spanning the Americas, EMEA, APAC, India, and Israel. This role uniquely combines enterprise site support with ownership of video conferencing and collaboration technologies, requiring expertise across both disciplines to deliver a seamless workplace technology experience. Working closely with Site Reliability Engineering (SRE), Unified Communications Engineering (UCE), Facilities, and other global IT teams, you'll help ensure NVIDIA employees and executives have reliable technology and exceptional collaboration experiences every day.
What You'll Be Doing
This role is responsible for delivering both enterprise site support and video conferencing operations. The work spans hands-on technical support, collaboration technology ownership, and continuous operational improvement, partnering with global engineering teams to enhance service reliability, automate repetitive work, and deliver an exceptional employee experience.<ul><li>
Serve as the primary on-site IT point of contact for Site Reliability Operations (SRO), providing break/fix support, new hire onboarding, hardware provisioning, and desk-side support.</li><li>
Resolve hardware, software, access, and peripheral incidents and service requests while meeting established service level objectives and operational response targets.</li><li>
Triage, investigate, and resolve complex technical issues, partnering with Site Reliability Engineering (SRE) teams to perform root cause analysis and address operational challenges impacting service efficiency.</li><li>
Identify recurring incident trends and implement automation, self-service capabilities, and process improvements that reduce support volume and improve the employee experience.</li><li>
Maintain operational readiness of local IT infrastructure, including network equipment rooms (NER/IDF), IT vending machines (ITVM), local lab environments, and other site technology assets.</li><li>
Support office build-outs, site expansions, lifecycle management (LCM) initiatives, and participate in after-hours and weekend support for critical incidents as required.</li><li>
Lead the operational health of enterprise video conferencing and audiovisual (AV) systems across assigned sites, including Cisco and Poly collaboration endpoints.</li><li>
Install, configure, maintain, and troubleshoot collaboration hardware including codecs, touch panels, cameras, microphones, speakers, amplifiers, digital signal processors (DSPs), displays, and AV control processors.</li><li>
Ensure conference rooms meet NVIDIA collaboration standards by validating audio and video quality, verifying cabling and signal integrity, and proactively maintaining room readiness.</li><li>
Provide real-time AV and video conferencing support for executive meetings, live events, all-hands meetings, and other high-visibility presentations.</li><li>
Partner with Unified Communications Engineering (UCE) on firmware upgrades, platform migrations, and new room deployments.</li><li>
Maintain accurate collaboration asset inventory and lifecycle information in Nautobot, including device status, serial numbers, firmware versions, and lifecycle data.</li><li>
Troubleshoot interoperability across Microsoft Teams, Zoom, Webex, Pexip CVI, SIP, and H.323 platforms to deliver seamless cross-platform meeting experiences.</li></ul>
What We Need to See
We're looking for a customer-focused IT professional with experience across enterprise endpoint support and collaboration technologies. The ideal candidate is comfortable working independently at a site while partnering with globally distributed engineering teams to solve complex technical challenges and continuously improve operational excellence.<ul><li>
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.</li><li>
3&ndash;5 years of experience in IT operations, site support, enterprise endpoint support, audiovisual technologies, or a related technical support role.</li><li>
Hands-on experience supporting enterprise video conferencing platforms, including Microsoft Teams Rooms, Zoom Rooms, and/or Cisco Webex Room systems.</li><li>
Familiarity with AV signal flow, including HDMI, USB, network-based audio/video, DSP configuration, and display technologies.</li><li>
Strong troubleshooting and engineering skills across Windows, macOS, and Linux environments.</li><li>
Experience working with enterprise IT service management (ITSM) platforms, preferably ServiceNow.</li><li>
Ability to work independently while collaborating effectively with globally distributed teams.</li><li>
Excellent communication and interpersonal skills, including experience supporting executives, managing vendor relationships, and documenting technical procedures.</li></ul>
Ways to Stand Out from the Crowd<ul><li>
Experience with enterprise AV monitoring and management platforms such as Vyopta, Crestron XiO Cloud, or Q-SYS.</li><li>
Understanding of networking fundamentals, including VLANs, Power over Ethernet (PoE), and Quality of Service (QoS) for real-time media.</li><li>
CTS (Certified Technology Specialist) or other relevant AV or collaboration certifications.</li><li>
Experience using Python, PowerShell, or Bash to automate operational workflows and improve operational efficiency.</li><li>
Experience supporting large-scale live events or broadcast-quality AV environments.</li><li>
Experience working within Site Reliability Engineering (SRE) or Site Reliability Operations (SRO) organizations with exposure to shift-left methodologies, self-service, and automation practices.</li></ul></div>

IT Support Engineer

Airbus

<div>Job Description:
In order to support us, Airbus Defence and Space is looking for an 
<h1 class="jobSectionHeader"> 
AI Solutions Engineer (d/f/m)
</h1>At Airbus Defence and Space, AI and data are our most strategic assets. As a forward deployed AI (artificial intelligence) implementation lead, you are the technical expert who turns our AI capabilities and platforms into mission-critical AI solutions. Working closely with business lines and internal teams, you will be bridging the gap between mission-critical requirements, AI capabilities and operational needs. 
 
In your job, you will work closely with business teams, managing an end-to-end lifecycle of AI use cases from initial technical assessments and evaluation of possible solutions to deployment into production. You will be an integral part of the team responsible for the delivery of a wide range of AI solutions, incl. GenAI (generative AI) and autonomous agentic systems for complex workflows.
Your location
 
Our site is just a stone's throw away from Munich, the beautiful capital of Bavaria. You are into sports and other outdoor activities? The Alps and Lake Starnberg are within an hour&rsquo;s reach, offering a multitude of recreational options.
The other possible locations for this role are:
Madrid / Getafe
 
Toulouse
Our Benefits for You
<ul><li>Fair Compensation &amp; Extras: Attractive remuneration and individual additional benefits, such as company pension schemes, mobility offers (e.g., bike leasing), or corporate discounts with partner companies in accordance with our current guidelines.
</li><li>Time for You (and Your Loved Ones): 30 days of annual leave based on our collective agreement (35-hour week); work-life balance through flexible working hours (flextime), mobile working, part-time options, job sharing, and sabbatical opportunities.
</li><li>Growth Made Easy: Excellent professional development opportunities and international, group-wide career perspectives.
</li><li>Feel Good at Work: On-site company doctor; comprehensive health programs (sports courses, preventive care, etc.), canteen and cafeteria, and local childcare facilities at selected locations.
</li><li>Diversity Connects: Work in a diverse environment with more than 140 nationalities, where exchange, mutual support, and inclusion are part of our DNA. 
</li></ul> 
Your tasks and responsibilities
<ul><li>Problem Discovery &amp; Feasibility: Partner with business leads, technical teams to review feasibility of AI use cases, identify technical bottlenecks and lead development of the required AI solutions from GenAI prompt engineering requests, to implementing RAG (retrieval augmented generation) pipeline, and end-to-end orchestrating of a full agentic solution.
</li><li>Tactical Implementation: Evaluate implementation requirements of AI use cases across various Airbus networks / deployment environments and available technology to make critical decisions to minimize end-user / operations impacts and individual AI use cases on the business. This may involve revision of API services, data connectors with tech. teams, optimization of prompts with end-users, and fine-tuning of available LLM (large language models) for optimal fit-for-purpose.
</li><li>Implementation of Agentic Systems: Where appropriate, drive key decisions on the design / implementation of Agentic AI workflows, enabling the GenAI platform to act as an orchestrator of multi-staging tasks, internal platforms, systems and tools while ensuring adherence to ethical guidelines of AI use.
</li><li>Platform Evolution: Act as forward deployed technical liaison and subject matter expert positioned between AI development teams and business teams, actively capturing issues, incidents, failures of individually deployed AI use cases and feed to development teams for future platform evolution.
</li><li>Sovereignty &amp; Compliance: Leverage understanding of applicable EU AI compliance policies, security standards and data sovereignty regulations for secure deployment and operations of AI use cases in Airbus environment.
</li><li>AI solutions delivery: Manage the end-to-end data science lifecycle for integrating GenAI features into existing solutions, focusing on data preparation, LLM fine-tuning, RAG implementation, and defining rigorous evaluation metrics to enhance the performance of the internal solution.
</li></ul>Desired skills and qualifications
<ul><li>Bachelor's Degree in computer science, software engineering, data science or other related technical discipline or preferably a Master&rsquo;s Degree in Artificial Intelligence (AI), Data Science, or Computer Science with specialization in cloud computing, DevOps and/or AI is preferred, reflecting the advanced nature of the role.
</li><li>A strong understanding of standard AI / GenAI/ Agentic AI development and implementation approaches into cloud platforms (AWS/GCP) and into containerized solutions (via Docker, Kubernetes, OpenShift).
</li><li>Expertise in development and implementation of LLMs, RAG pipelines, and Agentic AI across distributed environments and networks.
</li><li>Expertise in Agile, DevOps methodologies, and CI/CD (Continuous Integration / Continuous Deployment) practices, essential for the end-to-end delivery focus.
</li><li>Experience with scripting languages (e.g. Python , JavaScript, etc.) for automation and ML/DevOps libraries.
</li><li>At least 5+ years continuous working experience in a multinational company in software engineering, data science, and forward-deployed technical roles.
</li><li>Previous experience as a liaison between tech development and business teams
</li><li>Python / C++ expert level and experience working across the full stack applications to develop / integrate AI solutions into technology platforms, systems, network environments, etc.
</li><li>Mastery of vector databases, graph databases, and experience with basic data ingestion / data quality principles and workflows for evaluation of data sets for AI consumption.
</li><li>Experience with implementing rigorous scientific evaluation frameworks for optimal AI outputs.
</li><li>Recommended additional industry-recognized certifications (e.g. cloud platform certification, DevOps / Container certification, MLOps-specific certifications, etc.)
</li><li>Excellent problem-solving and analytical skills, with the ability to work independently in a fast-paced environment.
</li><li>Strong communication and collaboration abilities, and comprehensive end-user support and stakeholder management skills and ability to work independently and as part of a team in a fast-paced environment.
</li><li>Fluent English, German and English is a plus 
</li></ul> 
Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions.
Take your career to a new level and apply online now! 
 
#MYCYM
This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company&rsquo;s success, reputation and sustainable growth.
Company:
Airbus Defence and Space GmbH
Employment Type:
Permanent
-
Experience Level:
Professional
Job Family:
Digital &lt;JF-IM-DI&gt;
By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
 
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com .
At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.</div>

AI Solutions Engineer (d/f/m)

BMW Group

<div>
 
 Innovation Is Imagining What No One Else Can.
 
 
 
 At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every opinion is valued. It is only when expertise, highly professional processes and enjoyment of work unite that we can shape the future together.
 
 
 With our team you collaborate with experienced AI architects and engineers to build and evolve AI platform architecture, powering Android-based infotainment and large-scale vehicle software systems.
 
 
 
 What awaits you?
 
 
 
 <ul>
 <li>
 You design and own end-to-end AI and data architectures &ndash; from data ingestion and feature pipelines to model deployment and monitoring &ndash; with a strong focus on production-grade edge AI inside the vehicle.
 </li>
 <li>
 Furthermore, you build scalable platform architectures that serve multiple feature teams across the Android ecosystem (e.g. digital cockpits, infotainment features), enabling them to deliver AI-powered customer experiences reliably and at scale.
 </li>
 <li>
 You provide technical leadership for Android Automotive and its ecosystem, ensuring that AI platform decisions align with Android evolution, AOSP constraints, and long-term platform scalability.
 </li>
 <li>
 In addition, you define and evolve clear interfaces between AI platforms, Android infotainment, and application development &ndash; staying compatible with new Android versions while keeping the AI infrastructure adaptable and future-proof.
 </li>
 <li>
 You translate emerging AI requirements into production-ready platform capabilities, bridging applied research, platform engineering, and product needs.
 </li>
 <li>
 You continuously drive the AI strategy for infotainment platforms, tracking key technology trends (e.g. on-device LLMs/VLMs, multimodal interaction, agentic AI) and collaborating with leading external technology partners.
 
 
 
 </li>
 </ul>
 
 What should you bring along?
 
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in Computer Science, AI, Machine Learning, Data Science, or a related field, with hands-on experience in AI and data architecture beyond prototypes.
 </li>
 <li>
 In-depth knowledge of Android (AOSP / Android Automotive) as a production platform, including its constraints and evolution.
 </li>
 <li>
 Strong experience with AI architecture onboard and offboard, as well as implementation of Small Language Models, Vision Language Models, or autonomous driving models.
 </li>
 <li>
 Knowledge of multi-agent systems orchestration, multi-turn dialogues, and related open standards (e.g., A2A, MCP).
 </li>
 <li>
 Experience with AI training toolchains and workflows including pruning, fine-tuning, and multimodal encoding.
 </li>
 <li>
 Proficiency in Rust, C++, Kotlin, and modern, API-driven system architectures.
 </li>
 <li>
 Proven technical leadership experience in agile, cross-functional teams.
 
 
 
 </li>
 </ul>
 If you are passionate about scalable AI platforms, edge computing, and real-world impact? 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>
 
 Earliest starting date:
 
 from now on
 
 
 
 Type of employment:
 
 unlimited
 
 
 
 Working hours
 
 : full-time
 
 
 When you apply, the next steps in the selection process include an online test followed by 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 AI Engineer for the Infotainment Platform (f/m/x)
</div>

Senior AI Engineer for the Infotainment Platform (f/m/x)

Luma Vision

<div>LUMA Vision is a start-up based in Dublin (Ireland) and Munich (Germany) developing innovative imaging technologies to advance healthcare and solve global unmet clinical needs. We apply rigorous engineering and design to create new hardware, software and data-science technologies towards clinical procedures. Our focus is on developing sophisticated ultrasound cardiac imaging and navigation systems that provide essential real-time visualisation for advanced electrophysiology and structural heart procedures, leveraging diverse technologies to transform patient care.
To drive our platform development, we are looking for a Medical Deep Learning Computer Vision Engineer to join our growing team in our quest to produce high-quality medical device software. You will become part of a dynamic group of innovators, shaping the future of imaging in healthcare. 
Your role with us:
As a Medical Deep Learning Computer Vision Engineer, you will be responsible for working across research, technology development, and clinical application development. Your expertise makes you ready to own technical modules and processes end-to-end, working collaboratively within the team on both classical computer vision and artificial intelligence (AI) towards shipping production-quality code in Python and, where performance demands it, C++ and CUDA.
Your technical work will span from low-level signal processing to advanced deep learning and contribute to large-scale dataset preparation and curation. You will engage across research, hardware, clinical, and regulatory teams and help guide junior engineers through code reviews and technical design. You are comfortable using GIT and CI/CD to collaborate on and deliver code that is tested, documented, and ready for a regulated medical device environment. 
What you offer:<ul><li>
BSc or MSc degree in computer science, biomedical engineering or a related field.</li><li>
3+ years of professional experience in image processing, computer vision or deep learning for real-world applications</li><li>
Strong proficiency in Python with demonstrated ability to write production-grade code.</li><li>
Professional experience in deep learning development for computer vision.</li><li>
Proven ability to read, implement and critically evaluate state-of-the-art approaches from literature.</li><li>
Expertise with 3D (and ideally 4D) data. Familiarity with medical imaging is highly preferred.</li><li>
Experience working in a regulated environment or a strong appreciation for software quality practices including testing, documentation and validation.</li><li>
Hands-on, collaborative problem-solving mindset and excellent communication skills in English.</li></ul> 
Nice-to-Have:<ul><li>
Experience with C++ and/or CUDA.</li><li>
Experience with medical imaging (cardiac focus and/or ultrasound a plus)</li><li>
Exposure to MLOps and model deployment.</li><li>
Secure data handling with GDPR compliance for sensitive (healthcare) data.</li></ul> 
What we offer:<ul><li>
Ownership of meaningful work, your code will directly impact patient care and clinical outcomes.</li><li>
A growing and collaborative multinational team with a strong focus on team culture and individual development.</li><li>
Access to global network of clinical, technical and business innovators.</li><li>
Competitive salary with participation in employee participation scheme</li><li>
Flexible hybrid working with ergonomic offices in Dublin and Munich, both easily reachable by public transport.</li></ul>
LUMA Vision is an equal opportunity employer and welcomes applications from all qualified individuals regardless of ethnicity, sex, disability, religion/belief, sexual orientation or age.
Would you like to become part of our team?
We would love to hear from you!</div>

Medical Deep Learning Computer Vision Engineer (m/w/d)

NEURA Robotics

<div>Your mission &amp; challenges<ul><li>
Act as AI consultant for NeuraGym users: scope feasibility, choose algorithms, plan data collection</li><li>
Onboard users to the full NeuraGym pipeline: teleoperation, annotation, training, simulation, deployment and validation</li><li>
Collaborate closely with the on-site Robotics Engineer during data capture and experiments to ensure that the desired behavior and safety standards are achieved</li><li>
Advise users while they debug: review training scripts, point out data issues, help reproduce model bugs; step in hands-on when a blocker persists</li><li>
Serve as a valuable interface to our cloud team and AI team, facilitating collaboration and support where needed</li><li>
Feed lessons learned back into both the NeuraGym product roadmap and the Neura core AI roadmap</li></ul>
What we can look forward to<ul><li>
Master&rsquo;s degree in Computer Science, Robotics, Electrical Engineering or related field</li><li>
3+ years hands-on machine-learning experience in robotics - strong in at least one of: vision-based manipulation, reinforcement/imitation learning, or multimodal models - and keen to learn the rest</li><li>
Solid Python skills (C++ a plus); practical experience with PyTorch or TensorFlow 
Comfortable working directly with real robot hardware and associated middleware</li><li>
Cloud experience (AWS, Azure, or GCP) and experience with robotic simulation tools (IsaacSim, MuJoCo, etc.) is a plus</li><li>
Proven problem-solving abilities and ability to handle multiple projects in parallel</li><li>
Clear communicator who can translate between researchers, engineers and end-users. You have a good command of English and German language (B2 - C1 level)</li></ul></div>

Robotic Foundation Model Engineer – RoboGym (Human)

Collaboration Betters the World

<div>Willkommen bei CBTW! Wir sind ein innovatives Team mit &uuml;ber 3.000 Mitarbeitern in 21 L&auml;ndern und f&uuml;hrend in den Bereichen Strategie &amp; Governance, Software-Engineering, Datenanalyse &amp; KI und mehr.

Als Mitglied unseres Teams bei CBTW arbeitest Du in einem inspirierenden Umfeld an anspruchsvollen Projekten. Wir f&ouml;rdern die Entwicklung der Experten von morgen und sch&auml;tzen Deine Ideen. Wenn Du bereit bist, die Zukunft der datengetriebenen Transformation mit einem hochmotivierten Team zu gestalten, bewirb Dich jetzt bei CBTW! Zusammen schaffen wir Gro&szlig;artiges.
<h2 class="jobSectionHeader">
Aufgaben</h2>

Cloud &amp; Infrastructure Automation
<ul>
<li>Du konzipierst, entwickelst und automatisierst moderne Cloud-Infrastrukturen mit Terraform sowie Configuration-Management-Tools wie Ansible, Chef oder Puppet.</li>
<li>Du entwickelst skalierbare Infrastructure-as-Code-L&ouml;sungen und etablierst Best Practices f&uuml;r den Betrieb moderner Plattformen.</li>
</ul>
CI/CD &amp; Plattform Engineering
<ul>
<li>Du entwickelst, optimierst und betreibst moderne CI/CD-Pipelines mit Tools wie GitLab CI, Jenkins, Azure DevOps oder GitHub Actions.</li>
<li>Du unterst&uuml;tzt unsere Kunden bei der Einf&uuml;hrung effizienter DevOps-Prozesse und einer hohen Automatisierung.</li>
</ul>
Container &amp; Kubernetes
<ul>
<li>Du administrierst und optimierst Kubernetes-Cluster (AKS, EKS, GKE oder On-Premises).</li>
<li>Du implementierst moderne Deployment-Strategien, GitOps-Ans&auml;tze und sorgst f&uuml;r Skalierbarkeit, Hochverf&uuml;gbarkeit und Sicherheit der Plattformen.</li>
</ul>
Monitoring, Security &amp; Beratung
<ul>
<li>Du etablierst Monitoring- und Observability-L&ouml;sungen mit Tools wie Datadog, Dynatrace, Prometheus oder Grafana.</li>
<li>Du implementierst Sicherheits- und Compliance-Anforderungen (IAM, Zertifikatsmanagement, Vulnerability Management).</li>
<li>Du ber&auml;tst unsere Kunden bei Multi-Cloud- und Hybrid-Cloud-Strategien und unterst&uuml;tzt sie auf ihrem Weg zu einer modernen DevOps-Organisation.</li>
<li>Du begleitest technische Architekturentscheidungen und unterst&uuml;tzt weniger erfahrene Kolleg:innen als Mentor:in.</li>
</ul><h2 class="jobSectionHeader">Qualifikation</h2>
<ul><li>Erfolgreich abgeschlossenes Studium der Informatik, Wirtschaftsinformatik oder eine vergleichbare Qualifikation. 
Mindestens 6 Jahre Erfahrung im Bereich DevOps, Site Reliability Engineering (SRE) oder Cloud Engineering.</li>
<li>Sehr gute Kenntnisse in Infrastructure as Code mit Terraform, einschlie&szlig;lich modularer Architekturen.</li>
<li>Umfangreiche Erfahrung mit CI/CD-Pipelines und modernen Automatisierungsprozessen.</li>
<li>Fundierte Kenntnisse im Betrieb und der Administration von Kubernetes.</li>
<li>Erfahrung mit mindestens einem Hyperscaler (AWS, Microsoft Azure oder Google Cloud Platform).</li>
<li>Sehr gute Kenntnisse in mindestens einer Skript- oder Programmiersprache wie Python oder Go.</li>
<li>Erfahrung mit OpenShift oder Rancher ist von Vorteil.</li>
<li>Verhandlungssichere Deutsch (C1)- und Englischkenntnisse.</li>
<li>Bereitschaft, gelegentlich zu Kund:innen zu reisen.</li>
<li>Gehaltsspanne f&uuml;r diese Position (Senior-Level): 75.000 &euro; &ndash; 95.000 &euro; brutto/Jahr. Die finale Einstufung erfolgt abh&auml;ngig von Erfahrung und Skillset</li>
</ul>
Es ist unwahrscheinlich, dass jede:r Kandidat:in all diese Anforderungen erf&uuml;llt. Wenn Deine Erfahrungen anders sind und Du glaubst, dass Du einen Mehrwert f&uuml;r die Position bieten kannst, lass uns gerne dar&uuml;ber sprechen!
<h2 class="jobSectionHeader">
Benefits</h2>

Bei CBTW erwartet Dich mehr als nur ein Job &ndash; wir bieten Dir ein Umfeld, in dem Du wachsen, mitgestalten und ganz Du selbst sein kannst. Unsere Kultur lebt von Vertrauen, Eigenverantwortung und echter Zusammenarbeit &ndash; egal ob remote oder vor Ort. Wir treiben Innovation gemeinsam voran, feiern Erfolge und leben Vielfalt. Dass wir bereits f&uuml;nf Jahre in Folge als &bdquo;Top Company&ldquo; von kununu ausgezeichnet wurden, best&auml;tigt uns in unserem Weg.

Das erwartet Dich bei uns:

Onboarding &amp; Teamspirit
<ul>
<li>Willkommenstag, Hello Drink &amp; Newbie Lunch</li>
<li>Mentoring-Programm f&uuml;r Deinen idealen Einstieg</li>
<li>Afterwork-Events, Summer-Tech-Event &amp; festliche Weihnachtsfeier</li>
<li>Gemeinsames soziales Engagement bei Spendenaktionen</li>
</ul>
Entwicklung &amp; Karriere
<ul>
<li>Individuelle Karrierepfade &amp; regelm&auml;&szlig;ige Feedbackgespr&auml;che</li>
<li>Vielf&auml;ltige Inhouse-Trainings, Online-Kurse &amp; externe Weiterbildungen</li>
<li>Internationale Zusammenarbeit mit Kolleg:innen aus ganz Europa</li>
</ul>
️ Work-Life-Balance &amp; Flexibilit&auml;t
<ul>
<li>Remote Work &amp; Workation &ndash; innerhalb der EU und dar&uuml;ber hinaus</li>
<li>Sabbatical-M&ouml;glichkeiten &amp; flexible Arbeitszeitmodelle</li>
<li>Feiertagskalender Baden-W&uuml;rttemberg plus die Feiertage Deines Bundeslands &ndash; doppelter Benefit</li>
<li>30 Urlaubstage im Jahr</li>
</ul>
Ausstattung &amp; Mobilit&auml;t
<ul>
<li>Guthaben zur Ausstattung Deines mobilen Arbeitsplatzes</li>
<li>Deutschlandticket oder Fahrradleasing &ndash; Du hast die Wahl</li>
<li>Optional: BahnCard f&uuml;r noch mehr Reise-Flexibilit&auml;t</li>
</ul>
️ Sicherheit &amp; Vorsorge
<ul>
<li>Unterst&uuml;tzung bei Altersvorsorge &amp; Verm&ouml;gensaufbau</li>
<li>Vielf&auml;ltige Optionen zur finanziellen Absicherung</li>
</ul>
Wellbeing &amp; Gesundheit
<ul>
<li>Zugang zum Employee Assistance Program (EAP) &ndash; auch f&uuml;r Angeh&ouml;rige</li>
</ul>
Weitere Goodies
<ul>
<li>Pr&auml;mien f&uuml;r besonderes Engagement</li>
<li>Exklusive Vorteile &uuml;ber unsere Corporate Benefits-Plattform</li>
<li>Unsere CBTW-Spotify-Playlist f&uuml;r einen musikalischen Eindruck vom Team
</li></ul>Jetzt fehlst nur noch Du &ndash; wir freuen uns darauf, Dich kennenzulernen!

Schau Dir unsere CBTW-Spotify-Playlist an: CBTW auf Spotify h&ouml;ren</div>

Senior DevOps Engineer (m/w/d)

Explore 29+ Junior cloud site reliability engineer network m f x in Munich this July. Find roles across top companies and apply now to boost your career.