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<div>
 
 
 Software Engineer | Java, AWS | Berlin | &euro;70k - &euro;85k | German B2+
 
 
 
 
 
 
 We're looking for a talented Software Engineer with a strong background in Java and AWS to join a fast growing team in Berlin.
 
 
 
 
 
 In this role, you'll develop and maintain scalable backend applications, contribute to the design of new features, and work closely with product managers, QA, and fellow engineers to deliver high-quality software. We're looking for someone who enjoys solving technical challenges, writing clean, maintainable code, and collaborating in an agile environment.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and maintain high-quality Java applications and backend services
 </li>
 <li>
 Build and enhance RESTful APIs and integrate with internal and external systems
 </li>
 <li>
 Collaborate with cross-functional teams to deliver new features from concept through to production
 </li>
 <li>
 Write clean, maintainable, and well-tested code following engineering best practices
 </li>
 <li>
 Participate in code reviews and contribute to technical discussions and architectural decisions
 </li>
 <li>
 Troubleshoot, debug, and optimise applications to ensure performance and reliability
 </li>
 <li>
 Support continuous improvement of development processes and engineering standards
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Strong commercial experience developing applications with Java
 </li>
 <li>
 Experience building RESTful APIs and backend services
 </li>
 <li>
 Strong cloud experience with AWS
 </li>
 <li>
 Familiarity with relational databases and modern software development practices
 </li>
 <li>
 Experience working in Agile/Scrum teams
 </li>
 <li>
 German language skills at B2 level or above (required)
 </li>
 <li>
 Strong communication skills and a collaborative mindset
 </li>
 </ul>
 
 
 
 
 If you're interested please get in touch ASAP!
 
 
 
 
</div>

Senior Software Engineer

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

Senior DevOps Engineer

<div>
 
 
 Senior DevOps Engineer | Berlin | FinTech | German (B2+)
 
 
 
 &euro;85,000 - &euro;100,000 per annum
 
 
 
 
 
 We're partnering with an innovative FinTech company in Berlin to hire a DevOps Engineer who is passionate about building scalable, secure, and reliable cloud infrastructure.
 
 
 
 
 
 
 What you'll do:
 
 
 
 
 
 <ul>
 <li>
 Build and maintain CI/CD pipelines
 </li>
 <li>
 Automate infrastructure using Infrastructure as Code
 </li>
 <li>
 Manage and optimise cloud environments (AWS/Azure/GCP)
 </li>
 <li>
 Collaborate with development teams to improve deployment and reliability
 </li>
 <li>
 Monitor systems and drive performance and security improvements
 </li>
 </ul>
 
 
 
 
 
 What we're looking for:
 
 
 
 
 
 <ul>
 <li>
 Experience in DevOps, SRE, or Cloud Engineering
 </li>
 <li>
 Hands-on knowledge of Docker, Kubernetes, Terraform, and CI/CD tools
 </li>
 <li>
 Experience with cloud platforms (AWS, Azure, or GCP)
 </li>
 <li>
 German language skills at B2 level or above and good English
 </li>
 <li>
 EU work authorisation is preferred
 </li>
 </ul>
 
 
 
 
 
 What's on offer:
 
 
 
 
 
 <ul>
 <li>
 Competitive salary and benefits
 </li>
 <li>
 Hybrid working in Berlin
 </li>
 <li>
 Opportunity to work on cutting-edge FinTech products
 </li>
 <li>
 Collaborative, international team with excellent career growth
 </li>
 </ul>
 
 
 
 
 Interested? Send me a message on LinkedIn or apply directly to learn more about this opportunity.
 
</div>

<div>
 
 
 AI/ML Engineer | B2 German + English | AI Transformation | Global Scale-Up
 
 
 
 
 
 
 I am working with an incredibly well-funded, establishing global company that is reinventing the future of work by acquiring services businesses and transforming them from the inside out using frontier AI.
 
 
 
 
 
 My client are expanding their team globally and looking for a Senior ML/AI Engineer to design, deploy, and scale real-world AI systems that turn complex, legacy workflows into production-grade business value.
 
 
 
 
 
 
 
 Skills:
 
 
 
 <ul>
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 AI/ML System Design
 </li>
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 Production-grade Python
 </li>
 <li>
 LLMs &amp; Agentic AI
 </li>
 <li>
 Retrieval-Augmented Generation (RAG)
 </li>
 <li>
 Computer Vision
 </li>
 <li>
 Cloud &amp; ML Ops
 </li>
 <li>
 Reinforcement Learning
 </li>
 <li>
 Data Engineering (Messy/Legacy Data)
 </li>
 <li>
 Commercial and Product Mindset
 </li>
 </ul>
 
 
 
 
 
 
 Information:
 
 
 
 
 4/5 stage interview process
 
 
 Berlin based ideal (Hybrid) &ndash; 2 days on-site ideal,
 
 
 B2 German &amp; English speaking
 
 
 Salary: &euro;100,000 &ndash; &euro;150,000
 
 
 
 
 
 If this sounds interesting and you would like to learn more, please apply and or reach out to me on LinkedIn and we can set up a call!
 
</div>

Senior Machine Learning Engineer

<div>
 
 
 
 About the Company
 
 
 
 
 My client is a highly innovative, venture-backed robotics pioneer based in Munich's thriving deep-tech hub. They bridge the gap between advanced artificial intelligence and the physical world by building state-of-the-art robotic platforms designed to automate complex tasks in dynamic, real-world environments. By integrating next-generation hardware with advanced Computer Vision, Spatial Intelligence, and Embodied AI, they empower industries to run more fluidly, efficiently, and safely.
 
 
 
 
 
 
 
 Role Overview
 
 
 
 
 The company is seeking an engineering-focused
 
 MLOps Engineer
 
 with a foundational background in Applied AI to take ownership of the machine learning lifecycle pipeline. This is not a typical cloud-SaaS or FinTech MLOps role; the engineer will solve the unique challenges of
 
 Edge MLOps
 
 - taking complex perception and vision models from cloud-based experimentation and deploying them directly onto resource-constrained physical robotic hardware.
 
 
 The ideal candidate sits at the intersection of Machine Learning, Infrastructure Engineering, and Hardware-Software Integration. They will collaborate heavily with AI Researchers, Core Robotics Software Engineers, and Cloud Infrastructure teams to ensure that the company&rsquo;s moving fleet of robots can reliably see, reason, and act.
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 
 Pipeline Automation:
 
 Design, build, and maintain robust, end-to-end ML orchestration pipelines (from data ingestion and synthetic data generation to distributed multi-GPU training and model testing).
 </li>
 <li>
 
 Hardware Optimization &amp; Edge Deployment:
 
 Develop automated compilation, quantization, and pruning workflows to optimize deep learning models (e.g., Computer Vision, Transformer-based architectures) targeting edge-compute accelerators like NVIDIA Jetson or custom automotive/robotic SoCs.
 </li>
 <li>
 
 Data Fleet Infrastructure:
 
 Engineer high-throughput, multi-modal data loops capable of handling massive streams of sensory data (camera frames, point clouds, telemetry) and establish smart data-curation methods to upload edge-edge failures for retraining.
 </li>
 <li>
 
 Lifecycle &amp; Experiment Management:
 
 Set up and enforce rigorous experiment tracking, model registry, versioning, and approval gates using tools like MLflow or Weights &amp; Biases to guarantee absolute reproducibility.
 </li>
 <li>
 
 Continuous Monitoring &amp; Drift Detection:
 
 Build observability stacks and dashboards (e.g., Prometheus, Grafana) to track real-time model inference degradation, sensor drift, and physical environment anomalies out in the field.
 </li>
 <li>
 
 CI/CD Integration:
 
 Construct reliable infrastructure-as-code (IaC) and containerization frameworks to push seamless Over-the-Air (OTA) model and firmware updates securely to a fleet of physical robots.
 </li>
 </ul>
 
 
 
 
 
 
 Profile &amp; Requirements
 
 
 
 <ul>
 <li>
 
 Education:
 
 University degree (B.Sc., M.Sc., or Ph.D.) in Computer Science, Robotics, Electrical Engineering, Data Infrastructure, or a comparable technical field.
 </li>
 <li>
 
 Experience:
 
 2 to 5 years of professional experience in MLOps, DevOps, or Machine Learning Infrastructure engineering roles.
 </li>
 <li>
 
 Software Skills:
 
 Production-grade
 
 Python
 
 skills are mandatory. Comfort working in Linux environments and a familiarity with C++ or hermetic build systems (e.g., Bazel) is highly beneficial.
 </li>
 <li>
 
 AI/ML Foundations:
 
 Solid baseline understanding of Machine Learning and Deep Learning concepts, specifically with hands-on exposure to frameworks like
 
 PyTorch
 
 , OpenCV, or Hugging Face Transformers.
 </li>
 <li>
 
 Cloud &amp; Infrastructure:
 
 Proven experience managing production workloads in containerized environments via
 
 Docker
 
 and
 
 Kubernetes
 
 (including experience configuring accelerator node pools/GPUs). Strong familiarity with AWS, GCP, or Azure infrastructure and Terraform.
 </li>
 <li>
 
 Nice-to-Haves:
 
 Exposure to the Robot Operating System (
 
 ROS/ROS2
 
 ), robotics data serialization/logging tools (like MCAP or Foxglove), or model optimization runtimes (TensorRT, ONNX Runtime).
 </li>
 </ul>
 
 
 
 
 
 
 What the Company Offers
 
 
 
 <ul>
 <li>
 
 Deep Tech Impact:
 
 The chance to work directly on physical robotic platforms and watch code directly translate into hardware mechanics.
 </li>
 <li>
 
 Highly Competitive Compensation:
 
 Attractive base salary paired with equity package structures and performance-driven bonuses.
 </li>
 <li>
 
 Modern Work Culture:
 
 Flexible hybrid working arrangements, 30 days of annual paid vacation, and access to state-of-the-art laboratory and testing spaces in Munich.
 </li>
 <li>
 
 Relocation Support:
 
 Comprehensive assistance with visa processing, bureaucratic onboarding, and relocation expenses for international talent moving to Munich.
 </li>
 </ul>
</div>

MLOps Engineer (m/f/d) – Embodied AI & Robotics Platform

Join develop and explore 5   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

develop

About Company

Senior Software Engineer

Senior DevOps Engineer

Senior DevOps Engineer

Senior Machine Learning Engineer

MLOps Engineer (m/f/d) – Embodied AI & Robotics Platform