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devops/systems engineer, managed operations Jobs in Berlin

engineering manager

mission control engineer

ConstellR

<div><p><b>Our Mission</b></p><p>
At constellr, we're harnessing the power of space to solve one of Earth&rsquo;s greatest challenges: climate resilience &amp; security in a changing world. Our thermal satellite constellation delivers the most accurate land surface temperature data on the market, equipping commercial players, governments, defence agencies, and global institutions with the thermal intelligence they need to make strategic decisions&ndash; from national security and infrastructure to agriculture and climate resilience.<br>
<br>
As a fast-scaling company with offices in Brussels, Freiburg, Munich, Washington and Toulouse, our multidisciplinary team of engineers, scientists, and strategists is building the future of space-based Earth observation</p><p></p><p><b>
Location:</b> Remote - Germany
<br>
<b>Team &amp; Reporting Line:</b> Flight Operations - Reporting to Lead Satellite Systems
</p><p></p><p><b>Your Role</b></p><p>
As a <b>Mission Control Engineer</b>, you will be central to operating and scaling our Earth Observation satellite constellation. You will monitor, control, and optimise spacecraft performance while working closely with the Flight Operations team and collaborating with Flight Dynamics, Payload, Software, Data, and Product teams across the company.</p><p>
This role offers the opportunity to build and operate mission control systems from the ground up in a fast-paced startup environment, with direct impact on the reliability, availability, and quality of the data we deliver to customers.</p><p>
At constellr, you will help shape how our constellation and operations scale, owning critical operational capabilities, influencing system design, and seeing the immediate real-world impact of your work. The role also provides a clear growth path into hands-on satellite operations, with opportunities to take on real-time spacecraft commanding and monitoring responsibilities and contribute directly to mission success in orbit.</p><p></p><p><b><br>
Key responsibilities
</b></p><p></p><p><b>Core Role</b>
</p><ul><li>Build core mission planning services and algorithms that power mission planning applications for a growing satellite constellation
</li><li>Shape the architecture and design of mission planning systems to ensure scalability, reliability, and long-term operability
</li><li>Run, monitor, and maintain mission planning systems in live production environments
</li><li>Define engineering standards for reliability, CI/CD, infrastructure-as-code, observability, safety, and operational compliance
</li><li>Collaborate across Flight Operations, Flight Dynamics, Payload, Satellite Operations, and Product leadership to turn mission needs into technical direction and system design
</li><li>Drive adoption of CI/CD pipelines, infrastructure-as-code, and robust deployment practices across mission-critical systems
</li><li>Translate mission requests into executable satellite telecommands, including interaction with the telecommand database
</li><li>Align mission plans with onboard scheduling and execution constraints to ensure feasible satellite operations</li></ul><p></p><p><b>
Optional (If you have this experience) - Involvement in satellite operations, your role will also include:</b>
</p><ul><li>Monitor and control spacecraft operations, ensuring the nominal health, safety, and performance of the satellite constellation</li><li>
Execute real-time spacecraft commanding, telemetry monitoring, and analysis, responding promptly to off-nominal conditions.</li><li>
Develop, validate, and maintain operational procedures for both routine activities and contingency scenarios.</li><li>
Collaborate closely with Flight Dynamics and Mission Planning teams to execute mission timelines and scheduling activities.</li><li>
Support the commissioning and early operations phases of newly launched satellites.</li><li>
Investigate anomalies, perform root cause analysis, and implement corrective and preventive actions.</li><li>
Ensure high availability and smooth operation of the ground segment, participating in on-call rotations as required.</li><li>
Interface with Payload and Data teams to support successful data acquisition, downlink, and processing operations.</li><li>
Participate in simulations, rehearsals, and operational readiness reviews to ensure mission preparedness.</li></ul><p></p><p><b>
About You</b></p><p><i>
Essential Experience:</i></p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Aerospace Engineering, Computer Science, or a related technical field.</li><li>
2&ndash;3+ years of experience in satellite/spacecraft operations or in ground segment / Mission Control System development, either on the operations or software side.</li><li>
Solid understanding of spacecraft subsystems (e.g., AOCS, power, thermal, communications).</li><li>
Experience with telemetry analysis, command systems, and operational procedures.</li><li>
Proven ability to troubleshoot anomalies under time pressure using structured and methodical problem-solving approaches.</li><li>
Strong software engineering background, with experience in a systems programming language (ideally Rust, but C, C++, or similar are acceptable; support will be provided to develop Rust expertise).</li><li>
Experience developing reliable software for operational environments, with a strong focus on correctness, robustness, and safety.</li><li>
Familiarity with Linux systems and server administration.</li><li>
Knowledge of space industry standards such as CCSDS, ECSS, or PUS (deep expertise not required; familiarity with the ecosystem is sufficient).</li><li>
Strong communication skills and a collaborative mindset; ability to work closely with operations teams and the broader Mission Control organisation.</li><li>
Willingness to work in an operational environment, including shifts or on-call duties when required.</li><li>
Experience with monitoring and data infrastructure tools such as Grafana (including IRM), InfluxDB, and PostgreSQL.</li><li>
Genuine interest in working at the intersection of spacecraft operations and modern systems software, with a willingness to deepen expertise in either domain.</li><li>
Ability to develop reliable, production-grade software for 24/7 operational environments, with a strong focus on correctness, robustness, and safety.</li></ul><p></p><p><i>
Nice to have:</i></p><ul><li>
Experience with LEO Earth Observation missions.</li><li>
Knowledge of mission planning systems and ground station networks.</li><li>
Experience with SCOS-2000 and Mission Information Base (MIB) configuration.</li><li>
Background in Launch and Early Orbit Phase (LEOP) or in-orbit commissioning.</li><li>
Experience working in a startup or fast-scaling environment.</li><li>
Familiarity with cloud-based infrastructure, distributed systems, or data pipelines.</li><li>
Understanding of satellite systems engineering principles.</li><li>
Exposure to or experience with AI-assisted development tools or workflows.</li></ul><p></p><p><b>
Why Join constellr?</b></p><ul><li>
Be part of an ambitious mission to launch the world&rsquo;s first commercial thermal infrared constellation</li><li>
Play a defining role in scaling a company at the intersection of <b>space, climate, and security</b></li><li>
Flexible work setup with remote and hybrid options</li><li>
Competitive compensation, including <b>Virtual Share Option Plan (VSOP)</b> for permanent employees</li><li>
Join a team committed to <b>diversity, inclusion, scientific excellence, and real-world impact</b></li></ul></div><p></p>

Mission Control Engineer

Stealth Startup (Deep Defense Tech)

<div>
 <p>
  <strong>
   Senior Computer Vision Engineer
  </strong>
 </p>
 <p>
  (Aerial Threat Detection, Classification &amp; Tracking)
 </p>
 <p>
  Location: Berlin (Onsite)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Us
  </strong>
 </p>
 <p>
  We are a defense technology startup based in Berlin, building the next generation defense layer against aerial threats. Our team develops mission-critical systems that combine hardware, software, sensing, and real-time AI to operate reliably in complex real-world environments.
 </p>
 <p>
  Operating in stealth mode, we place strong emphasis on engineering rigor, real-world performance, and defense-grade system reliability.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Overview
  </strong>
 </p>
 <p>
  We are seeking a Senior Computer Vision Engineer to design, train, deploy, and continuously improve computer vision models for aerial threat detection, classification, and tracking.
 </p>
 <p>
  This role focuses on real-world vision challenges: detecting small objects at long range, maintaining tracking stability under poor visibility and motion, classifying targets reliably, and deploying performant models on edge compute platforms such as NVIDIA Jetson / Tegra.
 </p>
 <p>
  You will own key parts of the vision model lifecycle, from dataset preparation and augmentation to model development, deployment optimization, field-data error analysis, and iterative improvement. You will work closely with robotics, tracking, and controls engineers to ensure visual perception outputs can be used reliably in real-time system behavior.
 </p>
 <p>
  This is a hands-on, production-oriented role for someone with deep experience building vision systems that work outside controlled lab conditions.
 </p>
 <p>
  This position requires onsite work in Berlin and candidates must be from a NATO member state.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Computer Vision Model Development
  </strong>
 </p>
 <ul>
  <li>
   Design, train, fine-tune, and deploy computer vision models for: Long-range small-object detection, Object classification and identification, Multi-object tracking, Target state estimation support
  </li>
  <li>
   Work with modern vision approaches, including real-time detectors, CNN-based architectures, vision transformers, tracking-by-detection pipelines, or custom models
  </li>
  <li>
   Evaluate trade-offs between detection accuracy, latency, robustness, and compute constraints
  </li>
  <li>
   Develop model pipelines that support continuous improvement from real-world field data
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Real-World Robustness
  </strong>
 </p>
 <ul>
  <li>
   Improve model performance under challenging operating conditions, including: Small targets at long range, Motion blur, Low light, glare, and changing illumination, Clouds, rain, fog, and atmospheric effects, Cluttered backgrounds, Camera movement and vibration, IR / thermal imagery artifacts
  </li>
  <li>
   Analyze failure cases and translate them into concrete model, data, and preprocessing improvements
  </li>
  <li>
   Improve classification confidence, tracking stability, and robustness against false positives#
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Dataset Lifecycle &amp; Synthetic Data
  </strong>
 </p>
 <ul>
  <li>
   Own key parts of the vision data pipeline, including: Data cleaning, Augmentation strategies, Label quality analysis, Error analysis, Continuous dataset improvement
  </li>
  <li>
   Use synthetic data to improve coverage of rare, difficult, or safety-critical scenarios
  </li>
  <li>
   Collaborate with simulation engineers to align synthetic data generation with real-world failure cases
  </li>
  <li>
   Define metrics and evaluation sets for long-range detection, classification, and tracking performance
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Tracking &amp; Sensor Fusion
  </strong>
 </p>
 <ul>
  <li>
   Develop and improve tracking-by-detection and multi-object tracking pipelines
  </li>
  <li>
   Integrate vision outputs into downstream tracking and control systems
  </li>
  <li>
   Work with sensor inputs including: IR / thermal cameras, Laser range finder data
  </li>
  <li>
   Contribute to sensor fusion approaches where visual detections must be combined with additional measurement sources
  </li>
  <li>
   Collaborate with robotics, tracking, and controls engineers to ensure perception outputs are stable, timely, and actionable
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Edge Deployment &amp; Optimization
  </strong>
 </p>
 <ul>
  <li>
   Deploy and optimize models on NVIDIA Jetson / Tegra platforms
  </li>
  <li>
   Optimize inference performance using: TensorRT, CUDA
  </li>
  <li>
   Efficient preprocessing pipelines
  </li>
  <li>
   Balance accuracy, latency, memory usage, and thermal constraints
  </li>
  <li>
   Support real-time perception pipelines running on embedded or edge compute hardware
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications
  </strong>
 </p>
 <ul>
  <li>
   6+ years of experience in computer vision, applied machine learning, or real-world perception systems
  </li>
  <li>
   Proven hands-on experience building, training, deploying, and maintaining computer vision models
  </li>
  <li>
   Strong experience with object detection, classification, and/or multi-object tracking
  </li>
  <li>
   Experience with real-world image data, including noisy labels, domain shift, sensor artifacts, and difficult edge cases
  </li>
  <li>
   Strong Python skills and experience with deep learning frameworks such as PyTorch or TensorFlow
  </li>
  <li>
   Experience optimizing and deploying models on edge platforms, ideally NVIDIA Jetson / Tegra
  </li>
  <li>
   Experience with inference optimization tools such as TensorRT and/or CUDA
  </li>
  <li>
   Strong analytical skills for error analysis, model evaluation, and performance debugging
  </li>
  <li>
   Ability to work closely with robotics, controls, and systems engineers
  </li>
  <li>
   Onsite availability in Berlin
  </li>
  <li>
   Citizenship of a NATO member state
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Background in defense, aerospace, robotics, autonomous systems, or industrial perception
  </li>
  <li>
   Experience with IR / thermal computer vision
  </li>
  <li>
   Experience with long-range small-object detection
  </li>
  <li>
   Experience with sensor fusion involving visual detections and range measurements
  </li>
  <li>
   Experience with synthetic data generation and simulation-driven dataset improvement
  </li>
  <li>
   Experience with tracking filters, tracking-by-detection, or real-time perception-to-control pipelines
  </li>
  <li>
   Strong C++ skills for production integration are a plus
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We Offer
  </strong>
 </p>
 <ul>
  <li>
   Competitive salary
  </li>
  <li>
   VSOP / equity participation
  </li>
  <li>
   Central Berlin office
  </li>
  <li>
   Extreme growth opportunity in a fast-scaling startup
  </li>
  <li>
   Holiday allowance
  </li>
  <li>
   Monthly voucher
  </li>
  <li>
   Public transportation subsidies
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who You Are
  </strong>
 </p>
 <ul>
  <li>
   Real-world focused: You care about models that work in the field, not just on benchmark datasets
  </li>
  <li>
   Data-driven: You analyze failures systematically and improve models through evidence
  </li>
  <li>
   Performance-aware: You understand latency, memory, and edge deployment constraints
  </li>
  <li>
   Robustness-oriented: You think deeply about edge cases, domain shift, and degraded conditions
  </li>
  <li>
   Collaborative: You work effectively with robotics, tracking, and controls engineers
  </li>
  <li>
   Mission-aligned: You understand the responsibility of building perception systems for defense applications
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Senior Computer Vision Engineer

LimeFlight

<div><p>Join our fully remote, mission-driven team dedicated to pioneering <b>sustainable inflight service management</b>. Work on innovative technology solutions with global impact, collaborate within a diverse, international environment, and continuously enhance your skills through ongoing learning opportunities.</p><p></p><p>
Headquartered in Zurich, Switzerland with team members across 11 countries, we offer a dynamic and engaging company culture that celebrates creativity, collaboration, and inclusion.
</p><h4 class="jobSectionHeader"><b>About the role</b></h4><p>
We are hiring a <b>Senior Data &amp; Analytics Engineer</b> to take <b>end-to-end ownership of our data platform and BI layer</b>.</p><p></p><p>
We are on a mission to contribute to a <b>zero-waste future</b> by drastically reducing food waste, fuel consumption, costs, and most importantly, <b>CO₂ emissions</b> in the airline industry. Every role in our company is a direct contributor to this vision - and as a <b>Senior Data &amp; Analytics Engineer</b> you will be at the forefront of turning data into meaningful insights, empowering our customers to effectively use them and drive real impact.</p><p></p><p>
You will evolve a vendor-built BI solution into a <b>modern, product-grade data platform</b> and ensure that data is transformed into <b>scalable, trusted, and actionable insights</b> for both our customers and internal teams. You&rsquo;re not just building dashboards, you&rsquo;re enabling better decisions and measurable impact.</p><p></p><p>
This role combines:</p><ul><li><b>
Data Engineering</b> (pipelines, processing, customer facing exports, platform)</li><li><b>
Analytics Engineering</b> (modeling, KPIs, semantic layer)</li><li><b>
Data Product Ownership</b> (customer impact, insight generation)</li></ul><h4 class="jobSectionHeader"><b>
What You&rsquo;ll Own</b></h4><p><b>
Platform, Architecture &amp; Pipelines</b></p><p>
Own the end-to-end data platform (<b>Databricks </b>and <b>Microsoft Fabric</b>)</p><ul><li>
Design and operate scalable pipelines and lakehouse architecture</li><li>
Build scalable ETL/ELT workflows and manage batch/near real-time processing</li><li>
Ensure data quality, reliability, observability, and performance</li><li>
Define standards, data contracts, and architecture principles (clean, modular, scalable data platform)</li><li>
Optimize cost (e.g. Databricks jobs) and workload distribution across platforms</li></ul><p><b>
Data Modeling &amp; Semantic Layer</b></p><ul><li>
Own <b>Power BI </b>semantic models and KPIs</li><li>
Build clean, scalable dimensional models (star schema)</li><li>
Ensure performance and consistency of DAX, aggregations, and dataset refresh</li></ul><p><b>
Customer-Facing Analytics</b></p><ul><li>
Build and maintain customer-facing dashboards and embedded analytics</li><li>
Ensure consistent and trusted metrics across all outputs</li><li>
Enable self-service analytics with governance</li><li>
Maintain and monitor customer facing exports</li></ul><p><b>
Data as Product</b></p><ul><li>
Translate business and customer needs into scalable data solutions</li><li>
Define KPIs and reporting standards with Product</li><li>
Proactively build insights and identify opportunities to create additional customer value</li><li>
Drive measurable customer and business impact</li></ul><p><b>
Platform Quality, Operations, Security &amp; Governance</b></p><ul><li>
Build necessary validation scripts, unit tests, data quality checks</li><li>
Implement CI/CD, testing, and versioning for pipelines and BI</li><li>
Support multi-tenant architecture, security, and governance</li><li>
Implement monitoring and alerting (pipelines, refreshes)</li></ul><p><b>
Migration &amp; Insourcing (Initial Focus)</b></p><ul><li>
Take ownership of a vendor-built BI solution</li><li>
Reverse-engineer pipelines, logic, and reports</li><li>
Reduce technical debt and rebuild toward a clean architecture</li></ul><h4 class="jobSectionHeader"><b>
What We&rsquo;re Looking For</b></h4><p><b>
Experience</b></p><ul><li>
5+ years in data engineering / analytics engineering for customer-facing BI products</li><li>
Experience in SaaS or product-driven environments</li><li>
Proven track record building scalable data platforms and customer-facing analytics</li></ul><p><b>
Technical &amp; Platform Skills</b></p><ul><li>
Strong experience with:<ul><li>
Databricks (Spark / PySpark, Delta Lake)</li><li>
Microsoft Fabric or Azure data stack</li><li>
Power BI (data modeling, DAX, performance)</li></ul></li><li>
Advanced SQL and dimensional modeling (Kimball) expertise</li><li>
Lakehouse architecture &amp; ETL/ELT design</li><li>
Multi-tenant data models &amp; embedded analytics</li></ul><p><b>
Engineering Practices</b></p><ul><li>
CI/CD for data pipelines and BI assets</li><li>
Write reusable, modular, maintainable and testable code.</li><li>
Monitoring and data quality practices</li><li>
Version control (e.g., Git)</li></ul><p><b>
Nice-to-have</b></p><ul><li>
Azure infrastructure knowledge (IAM, networking)</li><li>
Data quality/testing frameworks (e.g., Great Expectations)</li></ul><p><b>
Mindset</b></p><ul><li>
Strong ownership and autonomy: You take full ownership of outcomes, not just tasks</li><li>
Impact-driven: You focus on real-world results and have strong intuition for identifying patterns, anomalies, and optimization opportunities</li><li>
Product thinker: You connect data to user value and turn raw data into clear, actionable insights</li><li>
Proactive: You proactively identify opportunities, validate ideas, and build reports, dashboards, and analyses without waiting for requirements.</li></ul><ul><li>
Domain expert: You understand business contexts quickly and translate problems into effective data solutions.</li><li>
Pragmatic: You prioritize simplicity and avoid overengineering, focusing on what delivers value.</li><li>
Clear communicator: You communicate effectively across technical and business stakeholders, making complex topics easy to understand.</li></ul><h4 class="jobSectionHeader"><b>
Language</b></h4><p>
Min. English C1</p><h4 class="jobSectionHeader"><b>
Expected travel needs</b></h4><p>
2 annual one-week team events</p><h4 class="jobSectionHeader"><b>
Our Tech Stack</b></h4><ul><li>
C# (.NET 8&ndash;10), ASP.NET Core, Entity Framework Core</li><li>
Microsoft SQL Server, Azure Blob Storage</li><li>
Azure App Services &amp; Functions, Docker</li><li>
Azure Service Bus, Terraform</li><li>
GitHub Actions, SonarQube, extensive unit &amp; integration tests</li><li>
Angular Latest Version</li><li>
Databricks and Azure Fabric</li></ul><h4 class="jobSectionHeader"><b>
Hiring Process</b></h4><ul><li>
Recruiter Screen (45 mins)</li><li>
Interview with the Hiring Manager (1 hour)</li><li>
Technical interview (1 hour)</li><li>
Discussion with founder(s) and peer(s) (1 hour)</li></ul><p><b><br>
LimeFlight is proud to be an equal opportunity employer.</b></p><p>
We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work.</p><p></p><p>
Join us and be part of a team committed to shaping a zero-waste future for aviation, where your ideas and passion truly matter.</p><p></p><p>
Let&rsquo;s talk!</p></div>

Senior Data & Analytics Engineer (Europe, 100% remote)

mediaire GmbH

<div><h4 class="jobSectionHeader"><b>ABOUT THE ROLE</b></h4><p>
As our second QA Engineer, you will take real ownership of quality across our products and help shape how QA is built in our team from the ground up. Working closely with our QA Lead, you will independently drive test planning, build automation, and improve quality standards across the entire development lifecycle - from frontend to cloud infrastructure. You&rsquo;ll work with cutting-edge technologies including AI-based computer vision, browser-based 3D visualization, and modern cloud systems - all contributing to software that helps clinicians make faster and more accurate diagnoses.</p><h4 class="jobSectionHeader"><b><br>
YOUR RESPONSIBILITIES</b></h4><p></p><ul><li>
Take ownership of test planning for releases - from defining scope to keeping documentation up to date.</li><li>
Build and maintain automated tests using Playwright across our frontend and backend systems.</li><li>
Test and validate our cloud-based infrastructure (AWS), making sure everything runs reliably in production.</li><li>
Work closely with engineers, product managers, and regulatory stakeholders to ensure smooth and high-quality releases.</li><li>
Investigate bugs, identify root causes, and help improve overall product stability.</li><li>
Track and improve quality over time by looking at metrics like bugs per release or test coverage.</li><li>
Continuously challenge and improve how we approach testing as a team.</li></ul><p></p><h4 class="jobSectionHeader"><b>
YOUR BACKGROUND</b></h4><p>
We are looking for a hands-on QA Engineer who enjoys ownership and building scalable testing systems.<br>
<br>
<b>Must-have</b><br>
 &bull; 3+ years of experience in software quality assurance.<br>
 &bull; Strong experience with test automation (ideally Playwright).<br>
 &bull; Solid programming skills (Python and/or TypeScript).<br>
 &bull; Experience with testing frameworks (e.g. pytest or similar).<br>
 &bull; Familiarity with CI/CD pipelines, version control, and Docker.<br>
 &bull; Comfortable working in Linux environments.<br>
 &bull; Ability to work independently and take ownership of test planning.<br>
<br>
<b>Nice to have</b><br>
 &bull; Experience with AWS or cloud-based systems.<br>
 &bull; Exposure to medical software or regulated environments (FDA, CE).<br>
 &bull; Experience with performance or load testing.<br>
 &bull; Basic understanding of security testing.</p><h4 class="jobSectionHeader"><b>
WHAT YOU CAN EXPECT</b></h4><p></p><ul><li><b>
Focus on what matters:</b> At our company, competence, personality, and commitment are more important than formalities or the study program you chose.</li><li><b>
Your Impact:</b> Your work helps make disease diagnosis faster, more precise, and more manageable.</li><li><b>
Your Team: </b>Join a highly motivated, interdisciplinary team with fast decision-making processes and a collaborative atmosphere.</li><li><b>
Freedom to choose:</b> Work remotely or from our office in Berlin-Kreuzberg - whatever suits you best.</li><li><b>
Benefits:</b> Use your personal benefits budget flexibly and choose the perks that suit you best!</li></ul><p></p><h4 class="jobSectionHeader"><b>
About us</b></h4><p>
At <b>medi</b><b>ai</b><b>re</b>, we are redefining healthcare with AI. Founded in 2018, we develop clinically integrated software that helps radiologists assess medical imaging data faster, more precisely, and more objectively - making a real difference in everyday clinical practice. Today, our solutions are trusted by hospitals and practices across Europe, where they save time, increase confidence, and improve outcomes for patients.<br>
<br>
<b>Our Vision:</b> A healthier world with universal access to accurate diagnoses.<br>
<b>Our Mission:</b> AI power in every scan. Confidence in every diagnosis. Efficiency that reaches every patient.<br>
<br>
At mediaire, we live by our values: <b>Innovation, Integrity, Dedication, Customer-Centricity and Teamwork.</b><br>
<br>
What truly sets us apart is our team: radiologists working side by side with engineers, data scientists, and experts from medicine, technology, and beyond. This unique collaboration ensures our AI is not just innovative, but impactful in routine clinical workflows.
<br>
<br>
If you&rsquo;re ready to shape the future of medical AI and make a real difference in healthcare - join us!</p></div>

QA Engineer (all)

Staffbase

<div><div><h3 class="jobSectionHeader"><b>About Staffbase</b></h3>
<p>
We inspire people to achieve great things together. Our mission is to help organizations unlock the power of inspirational communication with the first <b>AI-native Employee Experience Platform</b>. Our<b> industry-leading and award-winning agentic AI communications channels</b> - intranet, employee app and email solutions - create engaging experiences that connect and empower employees.</p>
<p>
Headquartered in Chemnitz, Germany and New York City, with offices in Berlin, London, Sydney, Tokyo, Prague, and Minneapolis&ndash;St. Paul, our diverse team of 750+ employees supports 2,000+ customers&mdash;reaching over 16.4 million employees&mdash;in transforming their employee experience.<br>
We are proud to be a <b>Unicorn</b> company&mdash;privately valued at over $1 billion&mdash;demonstrating strong growth, innovation, and lasting impact in our industry. Together, we're shaping the future of workplace communication.</p></div><p>
As a Staff Engineer in our Data &amp; Analytics team, you will drive the technical direction of our data platform and analytics capabilities. This is a hybrid role combining hands-on technical leadership with people leadership. You will work closely with the Director of Engineering and cross-functional stakeholders to advance our data infrastructure and lay the foundations for AI-powered product features.</p>
<h2 class="jobSectionHeader"><b>
Our environment</b></h2>
<ul><li>Work alongside skilled, data-passionate engineers in a team that values collaboration</li>
<li>A flexible, agile environment with a strong focus on work-life balance</li>
<li>You will have real ownership and influence over data architecture</li>
<li>We are building toward a distributed, self-service data platform model &ndash; you will help shape how that evolves.</li>
<li>Data is a strategic asset at Staffbase: valued, actively growing, and directly enabling our AI product roadmap.</li>
</ul><h2 class="jobSectionHeader"><b>What you'll be doing</b></h2>
<ul><li>Drive the technical direction of our data platform &ndash; leading architecture decisions, sequencing, and delivery in collaboration with Engineering, Product, and Design stakeholders</li>
<li>Support and develop a team of 4&ndash;5 engineers: providing technical mentorship, unblocking delivery, and helping build a product-minded engineering culture.</li>
<li>Own and evolve the data infrastructure: data lake, data foundations, semantic layer, and data governance &ndash; building a solid base for AI and analytics features</li>
<li>Lead streaming adoption across the team, bringing hands-on expertise to an area the team is actively developing</li>
<li>Apply and advance strong data modeling practices across the platform.</li>
<li>Prioritize and mediate effectively with product stakeholders &ndash; advocating for the right technical decisions and sequencing of work</li>
<li>Contribute to the evolution of our self-service data platform approach, driving the cultural and technical shift toward distributed data ownership</li>
<li>Collaborate across the broader staff engineering community on cross-cutting architectural decisions</li>
</ul><h2 class="jobSectionHeader"><b>What you need to be successful</b></h2>
<ul><li>Proven experience at Staff Engineer level or equivalent in a data engineering context</li>
<li>Strong architectural understanding of data platforms: data lakes, data foundations, data governance, and orchestration.</li>
<li>Experience with streaming technologies (e.g. Kafka) &ndash; hands-on exposure is a strong plus</li>
<li>Solid data modeling skills and the ability to raise this as a team-wide standard.</li>
<li>Experience working with large-scale datasets commensurate with a sizeable B2B SaaS customer base.</li>
<li>Python proficiency and comfortable working across a modern data stack</li>
<li>Strong stakeholder management and communication skills &ndash; you are comfortable pushing back, negotiating roadmaps, and finding constructive compromises with product teams</li>
<li>A product-minded engineering mindset: able to balance technical rigour with pragmatic prioritization.</li>
<li>Leadership experience or ambition: you are comfortable guiding engineers and driving delivery</li>
</ul><h2 class="jobSectionHeader"><b>Nice to have</b></h2>
<ul><li>Experience with data governance for AI agents &ndash; understanding guardrails, access control, and safety considerations for agentic analytics.</li>
<li>Prior exposure to self-service data platform models and distributed data ownership strategies.</li>
<li>Experience in a product-led SaaS environment.</li>
</ul>
<p><b>What you'll get</b></p>
<ul>
<li><i>Competitive Compensation</i> - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan)</li>
<li><i>Flexibility </i>- we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of &euro;1560</li>
<li><i>Recharge</i> - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August</li>
<li><i>Support</i><b> </b>-<b> </b>we offer offering a company pension scheme</li>
<li><i>Volunteers Day</i><b> </b>- you'll get one day off per year for supporting a social project</li></ul></div><div></div>

Staff Engineer, Data & Analytics

SKD SE

<div><div><div><div>Munich, Berlin</div><div>
Full-time</div><div>
Permanent employee</div></div></div>
<p></p>
<div><div><h2 class="jobSectionHeader"><b>About Us</b></h2><div><div>
STARK is a new kind of defence technology company revolutionizing the way autonomous systems are deployed across multiple domains. We design, develop and manufacture high performance unmanned systems that are software-defined, mass-scalable, and cost effective. This provides our operators with a decisive edge in highly contested environments.</div><div><br>
We&rsquo;re focused on delivering deployable, high-performance systems&mdash;not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe&mdash;today.</div></div></div><div><h2 class="jobSectionHeader"><b>
About the team</b></h2><div>
Minerva is STARK's command and control software &mdash; the brain that connects operators to autonomous systems across multiple domains in real time. The Minerva team is a small, senior software group based in Berlin and Munich, working directly with our systems and hardware teams to build mission-critical C2 capabilities deployed in active operational environments.<br>
We move fast, ship real software, and operate under constraints most engineers never encounter &mdash; low-bandwidth networks, air-gapped devices, high-stakes decision loops. There is no room for abstraction for its own sake. Everything we build ends up in the hands of real operators in the field.</div></div><div><h2 class="jobSectionHeader"><b>
Your mission</b></h2><div><p>
To ensure that technical changes across our products are planned, tested, documented, and released in a controlled and reliable way.</p><p>
As a Systems Engineer &ndash; Engineering Change &amp; Release Management, you will own and support the technical change process across everything related to our ground control station (GCS). You will make sure that Engineering Change Requests (ECR) are properly prepared, reviewed, validated, and documented before they become part of a product release.</p><p>
This role is ideal for someone who understands engineering, enjoys structured processes, and can connect technical teams with production, testing, configuration management, and supply chain. You will help ensure that every product configuration is clear, every test result is meaningful, and every release has a solid technical basis.</p></div></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><div><ul><li>Engineering Change Management: Support and coordinate Engineering Change Requests regarding the GCS. This involves the communication to hardware, software, systems, production, and supply chain teams, ensuring changes are technically sound and properly documented.</li><li>Configuration &amp; Release Control: Ensure that product configurations, version statuses, BOMs / EBOMs, test setups, and release documentation are complete, accurate, and maintained in the relevant tools, including 3DEXPERIENCE.</li><li>Test Planning &amp; Validation: Plan, coordinate, and review required tests for engineering changes, ensuring that test scope, success criteria, required material, configuration baselines, and expected results are clearly defined before execution.</li><li>Flight Test &amp; Field Coordination: Work closely with our flight test teams, engineering, and operations to prepare, execute, and document validation activities for product changes and release candidates.</li><li>Process Compliance: Ensure that engineering change and release processes are followed consistently, especially when products move from development into serial production or operational deployment.</li><li>Cross-Functional Alignment: Act as a technical interface between engineering, software, production, supply chain, quality, and testing teams to ensure all stakeholders work from the same configuration and understand the impact of changes.</li><li>Documentation &amp; Traceability: Maintain clear technical records, test evidence, decision logs, configuration baselines, and release documentation to support safe, auditable, and reliable product development.</li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><ul><li>Experience: Around 5 years of professional experience in systems engineering, product engineering, configuration management, change management, test engineering, or a similar technical role.</li><li>Educational Background: Degree in Systems Engineering, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Mechatronics, Automotive Engineering, or a related technical field.</li><li>Engineering Understanding: Strong technical understanding of complex products involving hardware, software, electronics, mechanical components, and system-level integration.</li><li>Change &amp; Release Process Experience: Practical experience with Engineering Change Requests, change control boards, configuration management, release processes, or product lifecycle management in a technical environment.</li><li>Tool Experience: Experience working with PLM, configuration management, or engineering data management tools. Experience with 3DEXPERIENCE is highly desirable.</li><li>Test &amp; Validation Mindset: Ability to define meaningful test requirements, review test results critically, and ensure that changes are only released based on valid technical evidence.</li><li>Software Affinity: Basic understanding of software-related topics such as IP networking, protocols, HTTPS, authentication, versioning, software configuration, and system integration.</li><li>Organizational Strength: Strong ability to structure work, coordinate stakeholders, track open actions, prepare material and test plans, and drive topics to completion.</li><li>Communication: Strong communication skills and the ability to work confidently with engineering, software, production, supply chain, and test teams.</li><li>Clearance: Ability to obtain appropriate security clearance required for the position.</li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Nice to have</b></h2><div><ul><li>Experience in defence, aerospace, automotive, UAVs, robotics, marine systems, aviation, or other vehicle-based engineering environments.</li><li>Familiarity with V-model development processes, verification and validation, technical documentation, or quality-relevant engineering workflows.</li><li>Experience with flight testing, field testing, test ranges, prototype validation, or operational product testing.</li><li>Understanding of BOM structures, EBOM flows, production handover, supply chain dependencies, and release readiness.</li></ul><p><b><br>
Why STARK?</b></p><p>
At STARK, you will help ensure that advanced autonomous systems are not only developed quickly, but released safely, reliably, and with full technical traceability. You will work at the center of engineering, testing, production, software, and supply chain, making sure that every product change is understood, validated, and ready for real-world use.</p><p>
This is a role for someone who combines engineering judgement with process discipline, practical coordination skills, and a strong sense of responsibility for product safety and release quality.</p><p>
If you're interested in building the future of European Defence with us, and you see yourself reflected in the description above, please send us your CV in English. We&rsquo;re looking forward to meeting you!</p><p><b>
Legal Disclaimer</b></p><p>
We are an equal-opportunity employer committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to</p></div></div></div>
<p></p>
<div><h2 class="jobSectionHeader"><b>About us</b></h2><div><b>
SECURITY CLEARANCE</b><br>
Due to the nature of our work in the defence sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for this position. Details will be provided during the recruitment process.<br>
<br>
<b>EQUAL OPPORTUNITY</b><br>
We are an equal-opportunity employer committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability, or any other characteristic protected by applicable law.</div></div></div><p></p>

System Engineer - Engineering Change / Releasemanagement

Helsing

<div>
 <strong>
  Who We Are
  <br/>
  <br/>
 </strong>
 Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
 <br/>
 <br/>
 As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
 <br/>
 <br/>
 We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams &ndash; and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
 <br/>
 <br/>
 The Role
 <br/>
 <br/>
 Much of our work takes place in high-security on-premise environments, and we are looking for Site Reliability Engineer to support our high security environments.
 <br/>
 <br/>
 Your role as a Site Reliability Engineer will be to design, implement, and manage our on-premise Kubernetes infrastructure.
 <br/>
 <br/>
 We are looking for engineers with a strong work ethic and prioritisation skills. We value team players who communicate clearly, share knowledge generously, and collaborate effectively to move their team &mdash; and our mission&mdash;forward.
 <br/>
 <br/>
 The day-to-day
 <br/>
 <br/>
 <ul>
  <li>
   As a SRE, you will design and build cloud-native infrastructure platforms on-premises, focusing on Kubernetes-based solutions that enable our development teams to operate services at scale.
  </li>
  <li>
   You will create robust observability frameworks using Grafana, Prometheus, and distributed tracing to ensure system reliability and performance
  </li>
  <li>
   You will architect and implement secure, multi-tenant Kubernetes clusters with strong access controls, policy-as-code governance, and zero-trust networking between red and black network domains. You will develop operators and controllers to automate infrastructure provisioning and compliance
  </li>
  <li>
   You will build and maintain MLOps platforms enabling AI researchers to deploy, monitor, and scale machine learning models in production.
  </li>
  <li>
   You will collaborate closely with our Security teams to implement supply chain security, container scanning, and runtime protection across our cloud-native stack
   <br/>
   <br/>
  </li>
 </ul>
 Key Skills
 <br/>
 <br/>
 <ul>
  <li>
   Scripting: experience in either Python, Go, Rust or Bash/ Shell for automation and tooling
  </li>
  <li>
   Experience with GitOps workflows and CI/CD automation
  </li>
  <li>
   Kubernetes Expertise: deep experience operating production Kubernetes clusters, writing custom controllers/operators, and implementing service mesh architectures (Istio/Linkerd)
  </li>
  <li>
   Cloud-Native Technologies: hands-on experience with CNCF ecosystem, e.g. including Helm, ArgoCD, Flux and container runtime security tools like Falco
  </li>
  <li>
   Observability Stack: expert-level knowledge of Grafana, Prometheus, Loki, Tempo, and OpenTelemetry. Experience building custom dashboards, alerts, and SLI/SLO frameworks
  </li>
  <li>
   Networking: Expert understanding of networking concepts, protocols and security
  </li>
  <li>
   MLOps Platforms: experience with Kubeflow, MLflow, or similar platforms
  </li>
  <li>
   Infrastructure as Code: proficiency with Terraform, Ansible, and Kubernetes manifest templating. Experience with policy-as-code tools like OPA/Gatekeeper
  </li>
  <li>
   System Administration: deep understanding of Linux/Unix system administration and highly available, distributed systems
  </li>
  <li>
   Comfortable building out data and telemetry pipelines for debugging and future-proofing solutions
   <br/>
   <br/>
  </li>
 </ul>
 You should apply if you
 <br/>
 <br/>
 <ul>
  <li>
   Have a high level of personal integrity, reliability, and attention to detail
  </li>
  <li>
   Have a software engineering mindset with a passion for building platforms and tools that multiply developer productivity
  </li>
  <li>
   Have experience running cloud-native workloads in on-premises or air-gapped environments
  </li>
  <li>
   Are willing to be based to Munich, Berlin London or Paris and work in a hybrid environment.
   <br/>
   <br/>
  </li>
 </ul>
 We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams &ndash; and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
 <br/>
 <br/>
 <em>
  Note: We operate at an intersection where women, as well as other minority groups, are systemically under-represented. We encourage you to apply even if you don&rsquo;t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
  <br/>
  <br/>
 </em>
 Join Helsing and work with world-leading experts in their fields
 <br/>
 <br/>
 <ul>
  <li>
   Helsing&rsquo;s work is important. You&rsquo;ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
  </li>
  <li>
   The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
  </li>
  <li>
   Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
  </li>
  <li>
   In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
  </li>
  <li>
   We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn&rsquo;t work, and to take ownership of aspects of our culture that you care deeply about.
   <br/>
   <br/>
  </li>
 </ul>
 What we offer
 <br/>
 <br/>
 <ul>
  <li>
   A focus on outcomes, not time-tracking
  </li>
  <li>
   Competitive compensation and VSOP options
  </li>
  <li>
   Relocation support
  </li>
  <li>
   Social and education allowances
  </li>
  <li>
   Regular company events and all-hands to bring together employees as one team across Europe
  </li>
  <li>
   A hands-on onboarding program (affectionately labelled &ldquo;Infraduction&rdquo;), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
  <br/>
  <br/>
 </em>
 Helsing's Candidate Privacy and Confidentiality Regime can be found here.
</div>


Site Reliability Engineer

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