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

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junior cloud site reliability engineer network m f x

Scalable

<div>Company Description 
Scalable Capital is a leading digital investment and banking platform with a full banking licence, empowering people across Europe to shape their own finances. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs, cryptocurrencies, and derivatives, as well as set up savings plans. Scalable Wealth, the digital wealth management service, offers clients professional investment in ETF portfolios, and is also adopted as a white-label solution by banks and other B2B partners. The company&rsquo;s offerings are rounded off by attractive interest rates, loans, and private equity. With the European Investor Exchange, Scalable Capital offers an exchange specifically for retail investors. Over one million clients have already entrusted more than &euro;30 billion to the platform. 
 
Founded in 2014, Scalable Capital now employs over 700 people across Munich, Berlin, Vienna, Milan, and London. Together with the founding and management team, including Erik Podzuweit and Florian Prucker, they are working on a new generation of financial services.
Visit our finance blog or check out our Social Media channels to find out what our Expert Teams have to say. 
 
Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values here (English). 
Job Description 
This role can be based in either Berlin or Munich.
Scalable Capital was built in the cloud from day one. Our services leverage a variety of serverless technologies, including Fargate and Lambda. We additionally use a multi account strategy for logical separation of workloads.
The Network Engineering team is part of the Core Tribe, which manages the cloud platform that underpins Scalable's entire infrastructure. The team delivers all core network services at scale, leveraging the latest cloud-native technologies and maintaining highly available connections to external partners. In addition, the Network Engineering team designs and maintains reusable infrastructure components and provides support to development teams. Together, these efforts provide a strong foundation for building innovative financial services.
As part of the Network Engineering team:<ul><li>
You will design, maintain, and operate multiple cloud networks on AWS, providing a secure and highly available environment for our internal development teams</li><li>
You will be responsible for improving Scalable's cloud infrastructure and automation using AWS, Terraform, and Python</li><li>
You will ensure high-availability connectivity for our most critical applications and partner integrations</li><li>
You will support, guide and empower our engineering teams to further strengthen our DevOps culture</li></ul> 

Qualifications 
<ul><li>
Experience with core AWS networking services, such as: VPC, ELB, PrivateLink, Route 53 is a must</li><li>
Proficient with Infrastructure as Code, ideally Terraform</li><li>
Proficient in at least one general-purpose programming language</li><li>
Nice to have: Experience with broader AWS services, network management, and network troubleshooting</li><li>
A passion for automating and improving processes while keeping security and reliability in mind</li><li>
A degree in a relevant field of study (e.g. computer science, engineering, sciences) or work experience in a role that typically requires a university degree</li><li>
Ability to communicate effectively and concisely in an international English-speaking environment</li></ul> 

Additional Information 
<ul><li>
Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers</li><li>
Work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients</li><li>
Work from our centrally located offices in the heart of Munich or Berlin, nestled in lively neighborhoods filled with vibrant restaurants, cozy caf&eacute;s, and a wide range of convenient amenities</li><li>
Be productive with the latest hardware and tools</li><li>
Learn and grow by joining our in-house knowledge sharing or career development sessions and spending your individual Education Budget</li><li>
Learn and experience German culture first hand by joining our free German language classes</li><li>
International relocation support is provided if required</li><li>
Opportunity to work from abroad</li><li>
Benefit from an attractive compensation package and from the company pension scheme</li><li>
Monthly contribution of 50% for the &lsquo;Deutschland Jobticket&rsquo;</li><li>
Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capital's PRIME+ Broker</li><li>
Enjoy flexible and discounted sports activities with Urban Sports Club</li></ul></div>

(Junior) Cloud Site Reliability Engineer (Network) (m/f/x)

osapiens

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

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

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)

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)

FAST LTA GmbH

<div><h4 class="jobSectionHeader">Kurzinfo</h4>
Als M&uuml;nchner Technologief&uuml;hrer f&uuml;r Zero-Loss-Storage und Off-Cloud-Appliances entwickelt FAST LTA hochsichere, vollst&auml;ndig lokale Infrastrukturl&ouml;sungen f&uuml;r anspruchsvolle Rechenzentrumsumgebungen. 100 % local, 100 % secure, 100 % yours. 
 
 Mit Silent AI gehen wir den n&auml;chsten Schritt: eine datenschutzkonforme Enterprise-KI-Appliance, die komplett on-premise auf dedizierter Hardware betrieben wird &ndash; ohne Cloud-Abh&auml;ngigkeit, ohne Kompromisse bei Sicherheit und Datensouver&auml;nit&auml;t. Entwickelt f&uuml;r Unternehmen und Organisationen mit hohen Sicherheitsanforderungen. 
 
F&uuml;r unser Team in M&uuml;nchen suchen wir ab sofort einen Senior Full Stack Engineer &ndash; AI &amp; Backend Systems (m/w/x) in Vollzeit, der/die gemeinsam mit uns unser Produkt weiterentwickelt.<h4 class="jobSectionHeader"> 
Das sind deine Aufgaben:</h4><ul><li>
Design und Implementierung einer versionierten Public REST-API (v1) inkl. Authentifizierungskonzept (API Keys, OAuth2), Rate Limiting und standardisierter Fehlerformate nach OpenAPI 3 / SemVer</li><li>
Ausbau des agentic LLM-Frameworks (LangGraph / LlamaIndex) mit Safety Guardrails, Multi-Step Retrieval, Tool Use und Observability</li><li>
Erweiterung modularer Datenkonnektoren (MS Graph, SharePoint, Confluence, Slack u. a.) nach einheitlichem Architektur-Standard</li><li>
Performance-Optimierung von Datenbankabfragen, Vektor-Store-Abstraktionen und asynchronen Datenlast-Pipelines (Celery)</li><li>
End-to-End-Implementierung neuer Features &uuml;ber Backend-API und TypeScript-Frontend &ndash; inklusive Code Reviews, Coding Guidelines und technischer Dokumentation</li><li>
Fachliche Lead-Verantwortung f&uuml;r Subsysteme (z. B. Public API, Konnektoren): eigenst&auml;ndiges Arbeiten auf Epic-Ebene von der Anforderungsanalyse bis zum produktiven Release sowie aktive Mitgestaltung von Architekturentscheidungen und Codequalit&auml;ts-Standards</li></ul><h4 class="jobSectionHeader">
Das bringst du mit:</h4><ul><li>
Idealerweise 10 oder mehr Jahre Erfahrung in der Softwareentwicklung und ein abgeschlossenes Studium der Informatik oder eines verwandten Fachs (kein Muss)</li><li>
Sehr gute Python-Kenntnisse (FastAPI, async/await, Dependency Injection, pytest) sowie fundiertes Linux- und Docker-Know-how (Microservices, Netzwerk-Isolation)</li><li>
Praxiserprobtes API-Design: REST, OpenAPI/Swagger, Versionierungsstrategien und standardisierte Fehlerbehandlung &ndash; sowie Auth-Protokolle (OIDC, OAuth2, JWT) aus produktivem Einsatz</li><li>
Frontend-Erfahrung mit modernem TypeScript (SvelteKit, React oder Vue), relationales Datenbankdesign/-optimierung mit PostgreSQL sowie eine eigenst&auml;ndige, strukturierte Arbeitsweise</li><li>
Erfahrung mit LLMs, RAG-Systemen oder AI-Infrastruktur (vLLM, LangChain, Vektordatenbanken), asynchronen Task-Queues (Celery, Redis) sowie Monitoring &amp; Observability (Prometheus, Grafana) sind ein Plus, aber kein Muss</li><li>
Flie&szlig;ende Deutschkenntnisse auf muttersprachlichem Niveau sowie verhandlungssicheres Englisch</li></ul><h4 class="jobSectionHeader">
Das bieten wir:</h4><ul><li>
Attraktives Gehalt + betriebliche Altersvorsorge mit 30 % Arbeitgeberzuschuss (ETF-basiert)</li><li>
Flexibles Arbeiten - Gleitzeit und Home-Office Option nach der Einarbeitung</li><li>
Echtes Team - kurze Wege, wertsch&auml;tzende Kultur, regelm&auml;&szlig;ige Events (Wiesn, Weihnachtsfeier, Afterwork)</li><li>
EGYM Wellpass - Yoga, Pilates, Lauftraining im Park mit externem Coach</li><li>
JobRad + kostenlose Parkpl&auml;tze</li><li>
Familienfreundlich - Zusch&uuml;sse zu Geburt und Kinderbetreuung</li><li>
Frisches Obst und Getr&auml;nke im B&uuml;ro</li></ul><h4 class="jobSectionHeader">
Ansprechpartner*in</h4><h2 class="jobSectionHeader">
Deine Ansprechpartnerin: Catana Dispan</h2><h2 class="jobSectionHeader">
Lust, die Zukunft lokal zu machen?</h2>
Schick uns deine Bewerbung &uuml;ber das Bewerbungsformular &ndash; wir melden uns kurzfristig. 
 
FAST LTA steht f&uuml;r Chancengleichheit. Bewerbungen aller Hintergr&uuml;nde sind willkommen.<h4 class="jobSectionHeader">
&Uuml;ber uns</h4><h1 class="jobSectionHeader">
Hallo.</h1>
wir sind die FAST LTA GmbH aus M&uuml;nchen und wir entwickeln und vermarkten Technologien sowie Produkte zur sicheren Langzeitspeicherung digitaler Daten. Wir sind Marktf&uuml;hrer in Deutschland f&uuml;r revisionssicheren Speicher f&uuml;r Krankenh&auml;user und &ouml;ffentliche Verwaltungen. Zu unseren Kunden z&auml;hlen namhafte Unternehmen aus der Industrie.</div>

Senior Full Stack Engineer (w/m/x) – AI & Backend Systems

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

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> 
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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> 
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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> 
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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> 
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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)

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