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

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

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

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

(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)

ai engineer (m/w/d)

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

ml platform engineer m f 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)

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

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)

Devoteam

<div>Unternehmensbeschreibung 
Devoteam ist ein f&uuml;hrendes Beratungsunternehmen mit Fokus auf digitale Transformation. Wir unterst&uuml;tzen unsere Kundinnen und Kunden dabei, Technologie gezielt einzusetzen, um ihre Gesch&auml;ftsziele zu erreichen.
Unsere langj&auml;hrigen Partnerschaften mit f&uuml;hrenden Unternehmen wie Google Cloud, AWS, Microsoft und ServiceNow erweitern unsere M&ouml;glichkeiten und erm&ouml;glichen es uns, erstklassige Expertise und ausgezeichnete Services bereitzustellen. Erg&auml;nzt werden diese Partnerschaften durch tiefgehendes Know-how in den Bereichen Cyber, Data &amp; AI sowie Softwareentwicklung.
Seit drei Jahrzehnten begleiten wir unsere Kundinnen und Kunden als Navigator durch jede gro&szlig;e Technologiewelle &ndash; vom Aufstieg des Internets bis zur Cloud-Transformation. Die n&auml;chste Revolution ist bereits da: Wir sind bereit, Dich durch das KI-Zeitalter zu f&uuml;hren.
Mit einem Team von mehr als 11.000 technikaffinen Mitarbeitenden in &uuml;ber 25 L&auml;ndern setzen wir hochqualifizierte IT-Expertinnen und -Experten in ganz Europa ein.
Bei Devoteam sind wir &uuml;berzeugt, dass Technologie durch die Menschen definiert wird, die wir bef&auml;higen. Heute nutzen wir Responsible AI, um eine Zukunft zu erschlie&szlig;en, in der Technologie ein direkter Treiber f&uuml;r positiven Wandel und gesch&auml;ftliche Vorteile ist. 
Warum Devoteam G Cloud?
Werde Teil des ausgezeichneten Google Cloud Partner of the Year EMEA &ndash; f&uuml;nf Jahre in Folge. Bei Devoteam G Cloud innovieren wir nicht nur; wir geben das Tempo vor, bewegen uns gemeinsam und denken gro&szlig;. Wir sind eine dynamische Community, gepr&auml;gt von lebenslangem Lernen und dem unerm&uuml;dlichen Streben nach Innovation in Arbeitskulturen und Kundenerlebnissen.
Als zertifizierter Google Cloud Managed Services Partner entwickeln wir modernste, praxisnahe L&ouml;sungen mit AI, Machine Learning, Big Data und Google Workspace.
Du wirst Teil eines Teams, das skalierbare Gesch&auml;ftsl&ouml;sungen mit den neuesten Google-Technologien konzipiert und umsetzt. Dabei agierst Du als strategischer Partner f&uuml;r Unternehmen und treibst Innovation in mehreren Bereichen voran: Dazu geh&ouml;ren die Modernisierung komplexer Legacy-Systeme und die Migration gesch&auml;ftskritischer Workloads in die Cloud, die Implementierung fortschrittlicher AI-/ML-Funktionen einschlie&szlig;lich GenAI und Vertex AI, um neuen gesch&auml;ftlichen Mehrwert aus Daten zu gewinnen, die Entwicklung gro&szlig; angelegter Datenplattformen wie BigQuery f&uuml;r tiefgehende Analysen sowie der Aufbau zukunftstr&auml;chtiger, sicherer und resilienter cloudnativer Anwendungsarchitekturen. 
Stellenbeschreibung 
Deine Mission und Dein Einfluss
Als Sales Executive (m/w/d) f&uuml;r Google Cloud ist es Deine Mission, die strategische Kraft hinter der Einf&uuml;hrung und dem Gesch&auml;ftswachstum der Google Cloud Platform (GCP) bei gro&szlig;en Unternehmen zu sein. Du verkaufst nicht nur; Du bist strategische Beraterin beziehungsweise strategischer Berater und unterst&uuml;tzt Kundinnen und Kunden dabei, ihre komplexesten Herausforderungen in den Bereichen Datentransformation, AI-/ML-Implementierung und Integration modernster Foundation Models wie Gemini zu meistern. Diese Expertise erstreckt sich auch auf gro&szlig; angelegte Infrastrukturmodernisierung und stellt sicher, dass bestehende Implementierungen f&uuml;r das Zeitalter generativer KI zukunftssicher aufgestellt sind.<ul><li>
Strategisches Wachstum: Entwicklung und Umsetzung von Account-Pl&auml;nen, um eine robuste, hochwertige Sales Pipeline aufzubauen &ndash; mit Fokus auf die Gewinnung neuer Kundinnen und Kunden sowie den Ausbau wichtiger Corporate- und Enterprise-Accounts.</li><li>
Executive Partnership: Aufbau und Pflege von Beziehungen auf F&uuml;hrungsebene mit Kundinnen und Kunden, Partnern sowie Google auf h&ouml;chster Ebene; dabei agierst Du als vertrauensw&uuml;rdige Beraterin beziehungsweise vertrauensw&uuml;rdiger Berater auf dem Weg in die Google Cloud.</li><li>
L&ouml;sungsdarstellung: Qualifizierung komplexer Kundenanforderungen und klare Vermittlung des einzigartigen, messbaren gesch&auml;ftlichen Mehrwerts unserer GCP-L&ouml;sungen, mit Fokus auf Services wie Gemini, BigQuery, GKE und Vertex AI.</li><li>
Marktf&uuml;hrerschaft: F&ouml;rderung der Nachfragegenerierung durch aktive Zusammenarbeit mit unserem Marketingteam und &Uuml;bersetzung von Markteinblicken in umsetzbare Vertriebsstrategien.</li><li>
Bereichs&uuml;bergreifende Deal-F&uuml;hrung: Verantwortung f&uuml;r den gesamten Vertriebszyklus, professionelles Management mehrerer Opportunities parallel sowie enge funktions&uuml;bergreifende Zusammenarbeit mit Solution Architects und Engineers, um bedeutende Abschl&uuml;sse zu erzielen.</li></ul> 
Qualifikationen 
Was Du mitbringst
Wir suchen eine hochmotivierte, anpassungsf&auml;hige und ergebnisorientierte Vertriebspers&ouml;nlichkeit mit nachweislichen Erfolgen:<ul><li>
Mind. 3-5 Jahre Erfahrung im Vertrieb von Professional Services und Cloud-L&ouml;sungen, insbesondere in der Betreuung und dem Abschluss komplexer Deals mit Enterprise-Kundinnen und -Kunden.</li><li>
Nachgewiesene F&auml;higkeit, umfassende Account-Pl&auml;ne zu entwickeln und umzusetzen, die kontinuierlich zu einer starken Sales Pipeline f&uuml;hren.</li><li>
Erfahrung im Opportunity Management, in der Qualifizierung sowie in der &uuml;berzeugenden Darstellung einzigartiger Wertversprechen im Cloud-Umfeld, einschlie&szlig;lich IaaS, PaaS, Data und AI/ML.</li><li>
Flie&szlig;ende Deutsch- sowie Englischkenntnisse sind erforderlich, um eine reibungslose Kommunikation mit unserem Kundenstamm sicherzustellen.</li><li>
Wir suchen eine Person, die von Natur aus anpassungsf&auml;hig ist und in einem dynamischen Umfeld aufbl&uuml;ht &ndash; mit der F&auml;higkeit, neue technologische Durchbr&uuml;che und sich ver&auml;ndernde Marktbedingungen unmittelbar in die Kundenstrategie zu integrieren.</li></ul>
W&uuml;nschenswerte Zusatzqualifikationen: Erfahrung im Vertrieb in den Branchen Manufacturing, Retail und/oder Financial Services ist von Vorteil. 
Zus&auml;tzliche Informationen 
Was wir bieten
Benefits und Zusatzleistungen:<ul><li>
Ein wettbewerbsf&auml;higes Gehalt, passend zu Deinem Profil, das j&auml;hrlich neu bewertet wird.</li><li>
Ein flexibles Paket an Zusatzleistungen, darunter: hochwertiger Firmenwagen, Tankkarte, Essensgutscheine, Laptop, Direktversicherung, 30 Urlaubstage, flexibles Arbeiten im Homeoffice, Mobilfunktarif, Mobilit&auml;tsbudget, Jahresendbonus, Corporate Benefits, und mehr.</li><li>
Die M&ouml;glichkeit, zus&auml;tzliche freie Tage in Form von Sonderurlaub zu erhalten</li><li>
Kein Mikromanagement &ndash; Flexibilit&auml;t ist einer unserer zentralen Werte.</li><li>
Teilnahme an Trainings an verschiedenen Google-Standorten und Bootcamps sowie Weiterentwicklung Deiner Soft- und Hard Skills.</li><li>
Arbeit mit einem sehr vielf&auml;ltigen Kundenportfolio &ndash; von Scale-ups und Start-ups &uuml;ber KMU bis hin zu Gro&szlig;unternehmen.</li><li>
Fu&szlig;ball spielen, Tischtennis spielen oder sogar ein internes Fitness-Workout mit Kolleginnen und Kollegen organisieren &ndash; die Kosten werden &uuml;bernommen.</li></ul> 
Bereit, die Zukunft der digitalen Transformation mitzugestalten? Bewirb Dich jetzt und werde Teil von Devoteam!
Recruiting Team &ndash; Devoteam Germany 
de.recruiting@devoteam.com</div>

Sales Executive – Google Cloud (m/w/d)

Conxai Technologies GmbH

<div>About CONXAI 
CONXAI has built a no-code, agentic AI platform for the Architecture, Engineering and Construction (AEC) and physical industries, focused on knowledge-automation. We automate high-stakes, knowledge-intensive workflows traditionally trapped in siloed data, fragmented tools and tacit (undocumented) human expertise. 
Our multi-agent systems perform complex reasoning in the physical world; and transform bespoke, service-heavy processes into scalable Service-as-a-Software automation. 
CONXAI is trusted by some of the leading AEC companies in Europe, US, LATAM and Japan. 
Your Role 
As a Senior Backend Engineer, you will play a key role in designing and evolving the backend architecture that powers a complex B2B AI platform. Our backend services process large volumes of structured and unstructured data, orchestrate AI workflows, and expose reliable APIs for both internal services and customer-facing applications. 
 
You will focus on building high-performance distributed systems that are reliable, scalable, and designed for long-term evolution. 
This role is ideal for someone who: 
<ul>
<li>
Takes ownership of backend architecture and system reliability 
</li>
<li>Thinks in terms of distributed systems, concurrency, and scalability 
</li>
<li>Designs clean service boundaries and well-structured APIs 
</li>
<li>Values maintainable, production-grade code 
</li>
<li>Enjoys collaborating with frontend, ML and platform teams</li></ul> 
Our Tech Stack 
<ul>
<li>
Golang (primary backend language for core services)</li>
<li>Python, TypeScript / NestJS (supporting services)</li>
<li>PostgreSQL, MongoDB (AWS DocumentDB)</li>
<li>REST APIs</li>
<li>Docker &amp; Kubernetes (EKS)</li>
<li>AWS Cloud (S3, Cognito, compute services)</li>
<li>CI/CD pipelines and automated deployments</li></ul> 


What You&rsquo;ll Do 
Architect &amp; Build Scalable Backend Systems 
<ul>
<li>Design and develop backend services primarily using Golang</li>
<li>Build scalable APIs and backend services that power AI-driven workflows</li>
<li>Design systems capable of processing large-scale datasets across multiple tenants</li>
<li>Develop high-performance services leveraging Go&rsquo;s concurrency model</li>
<li>Define clear service boundaries and maintain robust API contracts</li>
<li>Contribute to architectural decisions for distributed backend systems</li></ul> 


Deliver High-Quality Backend Code
<ul>
<li>Write production-grade backend services in Go</li>
<li>Design and implement RESTful APIs for internal and external integrations</li>
<li>Ensure reliability through testing, monitoring, and observability</li>
<li>Optimize system performance, latency, and resource usage</li>
<li>Debug and resolve complex production issues</li></ul> 


Work with Cloud Infrastructure
<ul><li>Develop and deploy services using AWS cloud infrastructure
</li><li>Work with Docker and Kubernetes (EKS) to run and manage distributed services
</li><li>Utilize AWS services for storage, authentication, and compute workloads
</li><li>Collaborate with DevOps and platform teams to maintain reliable CI/CD pipelines</li></ul> 


Collaborate Across Teams
<ul>
<li>Work closely with frontend engineers, ML engineers, and product teams</li>
<li>Support integration of AI capabilities into backend systems</li>
<li>Participate in architecture discussions and technical planning</li>
<li>Conduct thoughtful code reviews and mentor junior engineers</li></ul> 


What We&rsquo;re Looking For 
Must Haves
<ul>
<li>5+ years of professional backend development experience</li>
<li>Strong experience with Golang
</li><li>Experience in designing scalable backend systems and APIs</li>
<li>Strong understanding of distributed systems and microservice architecture</li>
<li>Experience in working with AWS cloud infrastructure</li>
<li>Experience in working with relational databases and SQL
</li><li>Strong debugging, system design, and problem-solving skills</li>
<li>Strong written and verbal English communication skills</li></ul> 


Highly Valued
<ul><li>Experience in building complex B2B SaaS platforms</li>
<li>Experience with Kubernetes and container orchestration</li>
<li>Experience in designing systems for large-scale data processing</li>
<li>Experience working on AI or data-intensive platforms</li></ul> 


Nice to Have
<ul><li>Experience with Python or TypeScript (NestJS)</li>
<li>Experience with event-driven architectures</li>
<li>Experience integrating AI/ML services into backend systems</li>
<li>Experience in AEC, construction, or infrastructure domains</li></ul> 


Why CONXAI 
<ul>
<li>
Edge of Innovation: Be at the absolute forefront of AI in the construction tech space</li>
<li>High Impact: Build core infrastructure powering real-world AI automation used by global companies</li>
<li>Top-Tier Peer Group: Work with a global team of ML engineers, software engineers and industry practitioners</li>
<li>Growth Opportunities: Join a fast-growing company where engineering decisions directly shape the future of the platform</li></ul></div>

Senior Backend Engineer (Golang) - Munich

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:
 
 
 
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 Infrastructure &amp; On-Premises Management:
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 Design, deploy, and maintain scalable on-premise infrastructure,
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 Implement Infrastructure as Code (IaC) using Terraform, Ansible, or similar tools,
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 Ensure high availability, resilience, and security of on-premise environments.
 
 
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 CI/CD Pipeline Implementation:
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 Develop and maintain automated CI/CD pipelines for application deployment,
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 Integrate automated testing, security scans, and monitoring tools into CI/CD workflows.
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 Optimize deployment strategies for minimal downtime and rollback capabilities.
 
 
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 Automation &amp; Configuration Management:
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 Automate deployment, scaling, and recovery processes using scripting languages such as Bash, Python, or PowerShell,
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 Implement containerization and orchestration solutions using Docker and Kubernetes,
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 Ensure seamless integration of DevOps tools into development and operational workflows,
 
 
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 Monitoring, Logging &amp; Performance Optimization:
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 Implement monitoring and logging solutions using Prometheus, Grafana, ELK Stack, or equivalent tools,
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 Analyze system performance metrics and optimize resource utilization,
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 Develop and maintain alerts and dashboards for real-time visibility.
 
 
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 Security &amp; Compliance:
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 Ensure security best practices, including identity and access management (IAM), encryption, and network, security,
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 Implement compliance controls for GDPR, ISO/IEC 27001, and other industry standards,
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 Conduct regular security audits and vulnerability assessments.
 
 
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 Collaboration &amp; Agile Development:
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 Work closely with development, QA, and operations teams to streamline workflows,
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 Participate in sprint planning, retrospectives, and technical discussions,
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 Provide guidance and mentoring to junior DevOps engineers.
 
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 Requirements
 
 
 
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 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, or a related field,
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 Minimum of 7 years of experience in DevOps, infrastructure engineering, or on-premise environment management,
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 Extensive experience with on-premises infrastructure design and maintenance,
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 Strong proficiency in Infrastructure as Code (Terraform, Ansible, etc.),
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 Experience with containerization (Docker, Kubernetes) and microservices architecture,
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 Knowledge of CI/CD tools such as Jenkins, GitLab CI/CD, or GitHub Actions,
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 Expertise in system monitoring, logging, and observability solutions,
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 Strong scripting skills in Bash, Python, or PowerShell,
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 Familiarity with security best practices in on-premises environments,
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 Excellent problem-solving and analytical skills,
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 Strong collaboration and communication abilities.
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 Fluency in English; knowledge of Portuguese, French, or German is a plus.
 
 
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 Benefits
 
 
 
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 A responsible position with room for creativity and development,
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 An international working environment characterized by team spirit and mutual appreciation,
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 An extraordinary and exciting product portfolio,
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 Flat hierarchies,
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 Flexible working hours,
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 Modern office environment,
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 Company Health Insurance
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</div>

DevOps Engineer (m/f/d)

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