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

(senior) software engineer - robotic applications

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

member of technical staff, product (ai agents)

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

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(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

(senior) software engineer - robotic applications Jobs in Munich

ai engineer (m/w/d)

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

ai software engineer f m 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)

Tabit GmbH

<div><div><div><div><div><div><div>Gestalte die Qualit&auml;t von morgen &ndash; mit KI, modernen Testmethoden und echten Projekten<div>
Bei Tabit testest du nicht einfach nur Software &ndash; du sorgst daf&uuml;r, dass moderne digitale L&ouml;sungen zuverl&auml;ssig, benutzerfreundlich und von h&ouml;chster Qualit&auml;t sind. Gemeinsam mit erfahrenen Entwicklerinnen und Entwicklern, Product Ownern und KI-Spezialisten begleitest du spannende Softwareprojekte von der Anforderungsanalyse bis zum Go-Live. 
</div><div>
Dabei setzen wir auf moderne Testmethoden, intelligente Automatisierung und den gezielten Einsatz von K&uuml;nstlicher Intelligenz, um Softwarequalit&auml;t auf das n&auml;chste Level zu heben.</div> 
Einsatzort: M&uuml;nchen 
Vertragsart: Vollzeit
&Uuml;ber uns
Die Tabit GmbH ist ein innovatives IT-Unternehmen mit Fokus auf K&uuml;nstliche Intelligenz, Softwareentwicklung, Systemintegration und digitale Transformation.
Mit rund 30 Kolleginnen und Kollegen an zwei Standorten unterst&uuml;tzen wir Unternehmen und Beh&ouml;rden bei der Entwicklung moderner Softwarel&ouml;sungen &ndash; von individuellen Fachanwendungen &uuml;ber KI-gest&uuml;tzte Systeme bis hin zu komplexen Digitalisierungsprojekten.
Aufgaben und Verantwortlichkeiten:<ul><li>
Planung, Erstellung und Durchf&uuml;hrung von manuellen und automatisierten Softwaretests</li><li>
Entwicklung und Pflege von Testf&auml;llen, Testszenarien und Testdaten</li><li>
Durchf&uuml;hrung von Funktions-, Integrations-, System- und Regressionstests</li><li>
Analyse, Dokumentation und Nachverfolgung von Fehlern und Verbesserungspotenzialen</li><li>
Mitarbeit in spannenden AI- und Digitalisierungsprojekten f&uuml;r nationale und internationale Kunden</li><li>
Aufbau und Weiterentwicklung automatisierter Testframeworks und Testprozesse</li><li>
Nutzung moderner Testwerkzeuge und Technologien wie Selenium, Cypress, Playwright oder vergleichbarer L&ouml;sungen</li><li>
Integration von Tests in CI/CD-Pipelines und moderne Entwicklungsprozesse</li><li>
Unterst&uuml;tzung bei der Definition und Sicherstellung von Qualit&auml;tsstandards</li><li>
Zusammenarbeit mit Entwicklern, Product Ownern und Kunden in agilen Projektteams</li><li>
Einsatz von KI-gest&uuml;tzten Testmethoden und modernen Qualit&auml;tssicherungsans&auml;tzen</li><li>
Durchf&uuml;hrung von Exploratory Testing sowie Usability- und Akzeptanztests</li></ul> 
Dein Profil:
Wir suchen nach einem engagierten und erfahrenen Software Quality Engineer (w/m/d) mit den folgenden Qualifikationen:<ul><li>
Abgeschlossenes Studium oder Ausbildung im IT-Umfeld oder vergleichbare Qualifikation</li><li>
Erfahrung im Bereich Software Testing und Qualit&auml;tssicherung</li><li>
Kenntnisse in der Erstellung und Durchf&uuml;hrung von Testf&auml;llen und Testkonzepten</li><li>
Erfahrung mit Testmanagement- und Bug-Tracking-Tools (z. B. Jira, Xray, TestRail oder vergleichbar)</li><li>
Grundlegendes Verst&auml;ndnis von Softwareentwicklung, APIs und Datenbanken</li><li>
Idealerweise Erfahrung im Bereich Testautomatisierung</li><li>
Interesse an K&uuml;nstlicher Intelligenz und modernen Technologien im Software-Umfeld</li><li>
Analytische, strukturierte und sorgf&auml;ltige Arbeitsweise</li><li>
Ausgepr&auml;gtes Qualit&auml;tsbewusstsein und Blick f&uuml;r Details</li><li>
Kommunikationsst&auml;rke und Freude an der Zusammenarbeit mit Kunden und Teams</li><li>
Sehr gute Englischkenntnisse (C1/C2)</li><li>
Gute Deutschkenntnisse (mindestens B2)</li><li>
Wohnsitz in M&uuml;nchen oder Bereitschaft zum Umzug</li></ul> 
Was wir bieten:<ul><li>
Mitarbeit an innovativen AI- und Softwareprojekten mit echtem Mehrwert</li><li>
Moderne Technologien, aktuelle Frameworks und AI-gest&uuml;tzte Entwicklungswerkzeuge</li><li>
Hohe Eigenverantwortung und kurze Entscheidungswege</li><li>
Fachliche und pers&ouml;nliche Weiterentwicklung sowie individuelle Weiterbildungsm&ouml;glichkeiten</li><li>
Flexible Arbeitszeiten und hybrides Arbeiten</li><li>
30 Urlaubstage</li><li>
&Uuml;berstundenkonto mit Freizeitausgleich</li><li>
Modernes Loft-Office in M&uuml;nchen</li><li>
Neueste Hardware und moderne Arbeitsausstattung</li><li>
Zuschuss zum Deutschlandticket Job sowie JobRad</li><li>
Betriebliche Altersvorsorge</li><li>
Kostenlose Getr&auml;nke im B&uuml;ro</li><li>
Regelm&auml;&szlig;ige Team-Events, Ausfl&uuml;ge und gemeinsame Aktivit&auml;ten</li><li>
Hundefreundliches B&uuml;ro</li><li>
Internationales und offenes Team mit starkem Zusammenhalt</li></ul> 
Haben wir Dein Interesse geweckt? Dann bewerbe dich bei uns!
(Hinweis: Nach Eingang deiner Bewerbung erh&auml;ltst du in der Regel innerhalb von f&uuml;nf Werktagen eine R&uuml;ckmeldung von uns)</div></div></div></div></div></div><div><div><div><div><div>
Jetzt bewerben</div></div></div></div></div></div>

Offene Position: Software Quality Engineer (w/m/d)

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

SciPro

<div>
 
 Senior Software Engineer
 
 
 We are seeking a Senior Software Engineer to join a cross-functional R&amp;D team developing high-performance software for advanced visualization and imaging platforms. The role involves designing, developing, and maintaining application software using modern C++, with a focus on performance, reliability, and user experience.
 
 
 
 
 
 Responsibilities
 
 <ul>
 <li>
 Design, develop, and maintain application software using modern C++ (C++17 or newer)
 </li>
 <li>
 Develop user interfaces using Qt and QML
 </li>
 <li>
 Build and maintain automated tests using tools such as Squish
 </li>
 <li>
 Collaborate with hardware, systems, and product teams in an Agile Scrum environment
 </li>
 <li>
 Participate in sprint planning, reviews, retrospectives, and daily stand-ups
 </li>
 <li>
 Contribute to CI/CD pipelines and software delivery processes
 </li>
 </ul>
 
 
 
 
 Requirements
 
 <ul>
 <li>
 Strong experience with modern C++ software development
 </li>
 <li>
 Experience with Linux-based systems
 </li>
 <li>
 Proficiency with Git and CI/CD workflows
 </li>
 <li>
 Experience with Qt/QML development
 </li>
 <li>
 Strong understanding of software architecture, testing, and debugging
 </li>
 <li>
 Ability to work effectively within distributed, cross-functional teams
 </li>
 </ul>
 
 
 
 
 Nice to Have
 
 <ul>
 <li>
 Experience with AI-assisted software development tools
 </li>
 <li>
 Knowledge of video streaming, image processing, or multimedia pipelines
 </li>
 <li>
 Experience with NVIDIA GPU technologies and CUDA development
 </li>
 <li>
 Python programming skills
 </li>
 <li>
 Experience in regulated or safety-critical industries
 </li>
 </ul>
 
 
 
</div>

Software 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)

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