full stack engineer

senior software engineer

backend engineer (m/f/x)

devops engineer

ai engineer

build and deployment engineer

Schwarz Digits KG

<p></p><div><div><div><div><ul><li><div><div><h2 class="jobSectionHeader"><b>Standort</b></h2><div><div>
Karl-Liebknecht-Stra&szlig;e 32<br>
10178 Berlin</div></div></div></div></li><li><div><div><p>
</p></div><div><h2 class="jobSectionHeader"><b>Abteilung / Bereich</b></h2><div><div>
IT - Software Engineering</div></div></div></div></li><li><div><div><p>
</p></div><div><h2 class="jobSectionHeader"><b>Einstiegslevel</b></h2><div><div>
Berufserfahrene</div></div></div></div></li><li><div><div><p>
</p></div><div><h2 class="jobSectionHeader"><b>Arbeitsmodell</b></h2><div><div>
Vollzeit/Teilzeit</div></div></div></div></li><li><div><div><p>
</p></div><div><h2 class="jobSectionHeader"><b>Referenznummer</b></h2><div><div>
2794</div></div></div></div></li></ul></div></div></div>
<div><div><div><p>
Schwarz Digits schafft das technologische Fundament f&uuml;r digitale Entscheidungsfreiheit in Europa. Als IT- und Digitalsparte der Schwarz Gruppe entwickeln und verantworten wir einerseits die IT-Infrastrukturen f&uuml;r die Handelssparten Lidl und Kaufland sowie die Schwarz Produktion und PreZero. Gleichzeitig agieren wir als unabh&auml;ngiger Anbieter am externen Markt, um Unternehmen in ganz Europa bei ihrer digitalen Transformation zu unterst&uuml;tzen. Unsere Kernleistungen b&uuml;ndeln wir in den Bereichen Cloud, Cyber Security, Data &amp; AI, Communication und Workspace. Trage auch du zur digitalen Entscheidungsfreiheit in Europa bei.<br>
<br>
Bei uns arbeitest du an der Schnittstelle zwischen Agilit&auml;t und Sicherheit: Du profitierst von den schnellen Entscheidungswegen, genie&szlig;t echte Gestaltungsspielr&auml;ume in deinen Projekten und baust dabei auf das stabile Fundament der Schwarz Gruppe.</p></div></div></div>
<div><div><h3 class="jobSectionHeader"><b>
Deine Aufgaben</b></h3><div><div><ul><li>
Du entwickelst robuste Daten-Pipelines (Python + SQL) f&uuml;r den Betrieb eines Data Warehouse und tr&auml;gst ma&szlig;geblich zur Definition und dem Aufbau eines passenden Datenmodells bei.</li><li>
Du verantwortest den Betrieb unserer Datenplattform, die vielf&auml;ltigen Nutzerkreisen das Treffen von Entscheidungen erm&ouml;glicht.</li><li>
Du &uuml;bernimmst die technische Leitung eines agilen Engineering Teams, das den gesamten Software-Entwicklungs-Lifecycle abdeckt: von Anforderungen, Architektur und Design &uuml;ber Implementierung und Testing bis hin zu Deployment, Operations und Support.</li><li>
Du verantwortest die Architektur, achtest auf Produktqualit&auml;t und identifizierst und reduzierst aktiv technische Schulden.</li><li>
Du hast Kosten, Zeit und Budget der Entwicklung im Blick und triffst datengetriebene und ganzheitliche Entscheidungen.</li><li>
Du leitest ein Core Engineering Team durch den Entwicklungsprozess, etablierst Standards und sorgst f&uuml;r kontinuierliche Prozessverbesserungen.</li><li>
Du bist der erste Ansprechpartner und Sparringspartner f&uuml;r den Product Owner, begleitest die Anforderungsanalyse und tauschst dich mit Key-Usern aus.</li><li>
Du &uuml;bernimmst Verantwortung f&uuml;r die pers&ouml;nliche und fachliche Weiterentwicklung der Software Engineers in deinem Team.</li></ul></div></div></div><div><h3 class="jobSectionHeader"><b>
Dein Profil</b></h3><div><div><ul><li><b>
Erfahrung</b>: Du hast <b>mindestens 4 Jahre professionelle Erfahrung im Data Engineering oder der Softwareentwicklung</b> (au&szlig;erhalb deines Studiums) und bist bereit f&uuml;r eine technische F&uuml;hrungsrolle (oder bringst bereits erste Erfahrungen mit).</li><li><b>
Tech Stack</b>: Du besitzt tiefgreifende, praxiserprobte Kenntnisse im Aufbau und der Verwaltung eines Data Warehouse und der Softwareentwicklung im Backend (Python, o.&auml;.) wie auch im Frontend (Vue, React o. &auml;.).</li><li><b>
Cloud &amp; Architektur</b>: Cloud-native Technologien (Docker, Kubernetes), analytische Datenbanken (BigQuery, Snowflake) und Data Warehousing sind dein t&auml;gliches Handwerkszeug. Du hast ein starkes architektonisches Verst&auml;ndnis (inkl. Design Patterns wie Strategy Pattern, Clean Code, modulare Architekturen).</li><li><b>
Qualit&auml;t &amp; Operations</b>: Automatisiertes Testing, CI/CD, IT-Sicherheit und Best Practices im Deployment sind f&uuml;r dich nicht verhandelbar. Erfahrung mit hoch skalierbaren, Daten-intensiven Systemen ist ein gro&szlig;es Plus.</li><li><b>
Agiles Mindset &amp; Leadership</b>: Du hast eine hohe Eigeninitiative, arbeitest stark datengetrieben und hast Freude daran, Wissen zu teilen und dein Team auf das n&auml;chste Level zu heben.</li><li><b>
Sprachen</b>: Sehr gute Englischkenntnisse; Deutschkenntnisse sind ein Plus (oder die Bereitschaft, diese auszubauen).</li><li><b>
Ausbildung</b>: Abgeschlossenes IT-Studium oder eine vergleichbare Ausbildung mit fundierter Praxiserfahrung.</li></ul></div></div></div></div>
<div><h2 class="jobSectionHeader"><b>Unsere Benefits</b></h2><p></p><div><div><div><p>
</p></div></div></div></div><p></p><div><h2 class="jobSectionHeader"><b>Dein Ansprechpartner</b></h2><div><div><h3 class="jobSectionHeader"><b>
Lara Schlimgen</b></h3><p>
Recruiterin</p><ul><li>
E-Mail:recruiting@mail.schwarz</li></ul></div></div></div>
<div><h2 class="jobSectionHeader"><b>Dein Bewerbungsprozess im &Uuml;berblick</b></h2><div><div><div><div>
1</div><h3 class="jobSectionHeader"><b>
Bewerbung</b></h3></div><div>
Wir lieben die Einfachheit. Bewirb dich schnell und unkompliziert digital, gerne auch ohne Registrierung.</div></div><div><div><div>
2</div><h3 class="jobSectionHeader"><b>
Checkup</b></h3></div><div>
Gemeinsam mit dem zust&auml;ndigen Fachbereich werfen wir einen Blick in deine Unterlagen.</div></div><div><div><div>
3</div><h3 class="jobSectionHeader"><b>
Kennenlernen</b></h3></div><div>
Bei einem ersten Kennenlernen liegt der Fokus sowohl auf deiner Pers&ouml;nlichkeit als auch auf deiner fachlichen Eignung.</div></div><div><div><div>
4</div><h3 class="jobSectionHeader"><b>
Vertragsangebot</b></h3></div><div>
Haben wir uns gegenseitig &uuml;berzeugt? Dann ist dein Arbeitsvertrag digital per Mail auf dem Weg zu dir.</div></div><div><div><div>
5</div><h3 class="jobSectionHeader"><b>
Willkommen</b></h3></div><div>
Dein erster Arbeitstag bei uns steht an und dein individuelles Onboarding im Team startet. Wir freuen uns auf dich!</div></div></div></div>
<div><div><div><h2 class="jobSectionHeader"><b>Diese Stellen k&ouml;nnten auch interessant sein</b></h2></div><p></p><div><p>
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</p><h3 class="jobSectionHeader"><b>Initiativbewerbung IT Entwicklung</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneBad Friedrichshall
</p><h3 class="jobSectionHeader"><b>SAP ABAP Developer - EWM (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
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</p><h3 class="jobSectionHeader"><b>SAP ABAP Developer (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
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</p><h3 class="jobSectionHeader"><b>(Senior) AI-Assisted Software Engineer (m/w/d) - Fokus Backend (Go / Kotlin)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
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</p><h3 class="jobSectionHeader"><b>SAP ALM Spezialist (m/w/d) - Schwerpunkt Focused Run und Cloud ALM</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
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</p><h3 class="jobSectionHeader"><b>Fullstack Engineer Health &amp; Performance (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
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</p><h3 class="jobSectionHeader"><b>SAP ABAP Developer - Gro&szlig;- und Au&szlig;enhandel (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
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</p><h3 class="jobSectionHeader"><b>Software Engineer - Fullstack (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div></div></div></div></div><p></p>

Engineering Lead - Supply Chain Data Platform (m/w/d)

Xenon7

<div><p><b>About us:</b></p><p>
Where elite tech talent meets world-class opportunities!</p><p>
At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today&rsquo;s most complex challenges.</p><p>
We are building a community of top-tier experts and we&rsquo;re opening the doors to an exclusive group of exceptional <b>AI &amp; ML Professionals </b>ready to solve real-world problems and shape the future of intelligent systems.</p><p></p><p><b>
Location:</b> Remote (Europe - CET)<br>
<b>Experience:</b> 5+ Years</p><p><b>
Project Duration:</b> ~ 2 months (B2B contract)<br>
<b>Availability:</b> Immediate Joiner</p><p></p><p><b>
Role Overview</b></p><p>
We are seeking a visionary and highly skilled <b>Senior Data Scientist</b> to lead the development of a cutting-edge document intelligence and discovery platform. This unique role sits at the intersection of advanced Generative AI, Machine Learning, and Cheminformatics. Your primary mission will be to solve a highly complex unstructured data challenge: transforming scanned PDF documents containing intricate chemical structures into highly searchable, interpretable, and actionable knowledge bases.</p><p></p><ul><li><b>
Architect Document Intelligence Solutions:</b> Design and implement advanced Machine Learning and Deep Learning models to parse, extract, and interpret text and complex chemical structures from unstructured, scanned PDF documents.</li><li><b>
Develop LLM &amp; Retrieval Systems:</b> Build and optimize Large Language Model (LLM) applications, leveraging vector databases to enable semantic search, advanced data interpretation, and retrieval-augmented generation (RAG).</li><li><b>
End-to-End ML Pipelines:</b> Own the entire machine learning lifecycle, including data preprocessing (specifically for chemical data and OCR outputs), model training, evaluation, deployment, and post-deployment monitoring.</li><li><b>
Bridge Chemistry &amp; AI:</b> Apply your chemistry domain knowledge to translate molecular structures, diagrams, and chemical data into machine-readable formats, embeddings, and actionable insights.</li><li><b>
Cloud Architecture &amp; Deployment:</b> Deploy scalable, secure, and production-ready AI/ML pipelines within the AWS ecosystem, ensuring high availability and performance.</li><li><b>
Cross-Functional Collaboration:</b> Partner closely with software engineers, data engineers, and domain experts to integrate ML models into the core product architecture and align with business goals.</li></ul><p></p><b><br>
Requirements</b><br>
<ul><li><b>
Professional Experience:</b> 5+ years of proven experience working as a Data Scientist, with a track record of delivering production-grade machine learning models.</li><li><b>
Domain Expertise:</b> A strong background in Chemistry, Cheminformatics, or a highly related scientific field, with a demonstrated ability to interpret and manipulate complex chemical structures and data types.</li><li><b>
Core Technical Stack:</b> Advanced proficiency in <b>Python</b> and deep hands-on experience with the <b>AWS cloud stack</b> (e.g., SageMaker, Lambda, S3, EC2).</li><li><b>
Generative AI &amp; Search:</b> Practical, hands-on experience working with LLMs (fine-tuning, prompt engineering, or API integration) and <b>vector databases</b> (e.g., Pinecone, Milvus, Weaviate, or Qdrant).</li><li><b>
ML/DL Mastery:</b> Robust experience in model development, validation, deployment, and evaluation framework tools (e.g., PyTorch, TensorFlow, Scikit-Learn).</li><li><b>
Document Processing (Plus):</b> Prior experience with Computer Vision, Optical Character Recognition (OCR), or Document AI systems is highly desirable given the scanned PDF focus.</li><li><b>
Soft Skills:</b> Strong analytical problem-solving skills, excellent communication, and the ability to thrive in a highly collaborative, cross-disciplinary project environment.</li></ul><br>
<b>
Benefits</b><p><br>
At Xenon7, we're not just building AI systems&mdash;we're building a community of talent with the mindset to lead, collaborate, and innovate together.</p><ul><li>
<b>Ecosystem of Opportunity:</b> You'll be part of a growing network where client engagements, thought leadership, research collaborations, and mentorship paths are interconnected. Whether you're building solutions or nurturing the next generation of talent, this is a place to scale your influence.</li><li>
<b>Collaborative Environment: </b>Our culture thrives on openness, continuous learning, and engineering excellence. You'll work alongside seasoned practitioners who value smart execution and shared growth.</li><li>
<b>Flexible &amp; Impact-Driven Work: </b>Whether you're contributing from a client project, innovation sprint, or open-source initiative, we focus on outcomes&mdash;not hours. Autonomy, ownership, and curiosity are encouraged here.</li><li>
<b>Talent-Led Innovation: </b>We believe communities are strongest when built around real practitioners. Our Innovation Community isn&rsquo;t just a knowledge-sharing forum&mdash;it&rsquo;s a launchpad for members to lead new projects, co-develop tools, and shape the direction of AI itself.</li></ul></div>

Senior Data Scientist - Europe

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

Alignerr

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in Berlin to evaluate AI-generated machine learning solutions &mdash; catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
 <br/>
 <br/>
 This is a fully remote, flexible contract role. Work asynchronously on your own schedule. No fixed hours, no meetings &mdash; just high-impact, expert work that matters.
 <br/>
 <br/>
 <ul>
  <li>
   Organization: Alignerr
  </li>
  <li>
   Type: Hourly Contract
  </li>
  <li>
   Location: Remote (Germany-based)
  </li>
  <li>
   Commitment: Flexible, project-based
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Review and evaluate AI-generated machine learning code &mdash; including Python, TensorFlow, PyTorch, and scikit-learn &mdash; for correctness, efficiency, scalability, and clarity
  </li>
  <li>
   Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
  </li>
  <li>
   Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
  </li>
  <li>
   Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
  </li>
  <li>
   Help set the quality bar for how AI understands and produces machine learning code
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deeply fluent in machine learning &mdash; you know your way around model development, data preprocessing, training pipelines, and deployment
  </li>
  <li>
   Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  </li>
  <li>
   Strong written communicator &mdash; able to explain complex ML concepts clearly and precisely in English
  </li>
  <li>
   Detail-oriented and rigorous &mdash; you catch what others miss and care about getting things right
  </li>
  <li>
   Self-motivated and comfortable working independently in an async environment
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;5+ years working on machine learning projects, pipelines, or MLOps
  </li>
  <li>
   Experience with model evaluation, cloud deployment, or production ML systems
  </li>
  <li>
   Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
  </li>
  <li>
   Background in data labeling, RLHF, or other AI training workflows
  </li>
  <li>
   Prior experience with code review or technical writing
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work on cutting-edge AI projects alongside leading research labs and top AI teams
  </li>
  <li>
   Fully remote and async &mdash; work when and where it suits you, with no minimum hour commitments beyond project needs
  </li>
  <li>
   Freelance autonomy with the structure of meaningful, task-based work
  </li>
  <li>
   Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
  </li>
  <li>
   High-performing contributors take on expanded responsibilities and lead new programs
  </li>
  <li>
   Potential for ongoing work and contract extension as new projects launch
  </li>
 </ul>
</div>


Software Engineer – Machine Learning (AI Training)

Capgemini

<div><div><div><div><p>Wenn du dich f&uuml;r Capgemini entscheidest, w&auml;hlst du ein Unternehmen, in dem du die M&ouml;glichkeit hast, deinen Karriereweg selbst zu gestalten. Du wirst von einem kollaborativen Netzwerk von Kolleg*innen auf der ganzen Welt unterst&uuml;tzt und inspiriert und kannst neu definieren, was m&ouml;glich ist. Schlie&szlig;e dich uns an und unterst&uuml;tze die f&uuml;hrenden Organisationen der Welt, den Wert von Technologie zu erschlie&szlig;en und eine nachhaltigere, inklusivere Welt zu gestalten.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Deine Rolle</b></h2>
</div><div><p>Im Umfeld Financial Services (Banking &amp; Insurance) bauen wir unsere Kompetenzen im Bereich Generative AI, Agentic AI und moderne Cloud-Plattformen weiter aus. Daf&uuml;r suchen wir technologische Expert*innen, die Freude daran haben, neue AI-L&ouml;sungen von der Idee bis in den produktiven Betrieb umzusetzen - eingebettet in bestehende Plattformen, Cloud- und Integrationslandschaften.</p>
<p>Diese Stelle ist in Vollzeit sowie in Teilzeit zu besetzen.</p>
<p>Als AI Solution Architect / Senior Engineer (w/m/d) entwickelst und betreibst du moderne AI-L&ouml;sungen entlang des gesamten Lifecycles:</p>
<ul><li>Du definierst und implementierst technische Best Practices f&uuml;r sichere, performante und kosteneffiziente AI-Architekturen entlang des SDLC.</li>
<li>Du konzipierst, entwickelst und betreibst GenAI- und Agentic-AI-L&ouml;sungen und integrierst diese in Cloud- und Plattformlandschaften.</li>
<li>Du arbeitest hands-on in der Umsetzung: AI Engineering, Backend / API-Entwicklung sowie Cloud- / Platform Engineering.</li>
<li>Du unterst&uuml;tzt Presales‑ und Angebotsphasen (z. B. L&ouml;sungsarchitekturen, technische Konzepte, Demos, Storytelling).</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Dein Profil</b></h2>
</div><div><ul><li>Fundierte Erfahrung in GenAI-Technologien (LLM APIs, Embeddings, RAG, Prompt Engineering, Evaluierung)</li>
<li>Starker Hintergrund in Software Engineering mit Fokus auf Backend, APIs, Microservices oder verteilte Systeme</li>
<li>Praxiserfahrung mit Cloud-Plattformen (AWS, Azure oder GCP) sowie modernen DevOps-Stacks (CI/CD, IaC, Container, Kubernetes)</li>
<li>Know-how in LLMOps (Deployment-Patterns, Versionierung, Testing, Monitoring) f&uuml;r produktive AI-Systeme sowie gutes Verst&auml;ndnis von Security, Skalierbarkeit und Architekturdesign in komplexen, regulierten Umgebungen</li>
<li>Projektabh&auml;ngige Reisebereitschaft sowie sehr gute Deutsch- und Englischkenntnisse</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Was du bei uns sch&auml;tzen wirst</b></h2>
</div><div><ul><li>Wir legen gro&szlig;en Wert auf die Vereinbarkeit von Arbeit und Privatleben. Deshalb hast du bei uns die M&ouml;glichkeit, <b>hybrid</b> aus dem Office, von zu Hause oder an anderen Capgemini Standorten in Deutschland zu arbeiten. Gleichzeitig bietet Capgemini dir<b> </b>flexible Arbeitszeitmodelle.</li>
<li>Wir bieten dir vielf&auml;ltige M&ouml;glichkeiten zur Weiterentwicklung: Unser Karrieremodell erm&ouml;glicht es dir, deine Karriere so zu lenken, wie es f&uuml;r dich am besten ist und unsere Leadership Programme unterst&uuml;tzen dich dabei. Mit zahlreichen Angeboten auf unserer Lernplattform hast du zudem jederzeit die M&ouml;glichkeit, deine Skills auszubauen oder dir neue anzueignen.</li>
<li>Unsere Communitys: Wir bieten dir aktive Mitarbeiternetzwerke, in denen du dich sowohl fachlich als auch pers&ouml;nlich mit Kolleg*innen aus aller Welt austauschen kannst. Zudem f&ouml;rdern unsere Communitys Vielfalt, Diversit&auml;t und Inklusion am Arbeitsplatz.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Deine Benefits</b></h2>
</div><div><ul><li>Flexible Arbeitszeit- und Auszeitmodelle</li>
<li>Mobiles Arbeiten &ndash; auch hybrid von Zuhause aus</li>
<li>Jobfahrrad-Programm</li>
<li>Mobilit&auml;tsbudget</li>
<li>Vielf&auml;ltiges Weiterbildungsangebot</li>
<li>Internationales Netzwerk</li>
<li>Kooperation mit dem pme Familienservice</li>
<li>Deferred Compensation &ndash; im Alter gut abgesichert</li>
<li>Verl&auml;ngerte Entgeltfortzahlung im Krankheitsfall</li>
<li>Gesundheitsangebote</li>
<li>Attraktiver Arbeitsplatz f&uuml;r Menschen mit Handicap</li>
<li>Kontakthalteprogramm fareWelcome!</li>
<li>Work-life-balance</li>
<li>Mitarbeiterrabatte</li>
<li>Team- und Sportevents</li>
</ul><p><i>S&auml;mtliche in der Anzeige genannten Nebenleistungen geben lediglich einen ersten &Uuml;berblick ohne Anerkennung einer Rechtspflicht. Sie richten sich nach den jeweils g&uuml;ltigen Betriebsvereinbarungen, Policies, betrieblichen Regelungen und Anspruchsvoraussetzungen zum Zeitpunkt des Eintritts in das Unternehmen.</i></p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Bewirb dich jetzt</b></h2>
</div><div><p>F&uuml;r den ersten Schritt in Richtung Zukunft brauchst du nur drei Minuten Zeit und deinen aktuellen Lebenslauf.</p>
<p>Bitte sende keine Bewerbungen per E‑Mail. Bewerbungen werden ausschlie&szlig;lich &uuml;ber unser Online‑Bewerbungssystem entgegengenommen. Eingehende Bewerbungen per E‑Mail werden aus Datenschutzgr&uuml;nden ungelesen gel&ouml;scht. Bei Fragen steht dir <b>Alissa T&uuml;rck</b> unter <b>fs.career.de@capgemini.com</b> zur Seite.</p>
<p>Diese Anzeige ist online, solange die Stelle verf&uuml;gbar ist.</p>
<p>Capgemini lebt<b> </b>Vielfalt am Arbeitsplatz. Diversit&auml;t sorgt in unserem Unternehmen f&uuml;r Inspiration und Innovation. Wir freuen uns besonders &uuml;ber Bewerbungen von qualifizierten Talenten, unabh&auml;ngig von Herkunft, Nationalit&auml;t, Geschlecht, Hautfarbe, ethnischer und sozialer Herkunft, Religion, Alter, Behinderung, sexueller Orientierung und Lebensphase.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Mehr Infos</b></h2>
</div><div><p>Erfahre hier mehr zu unserem <b>Bewerbungsprozess</b> und erhalte Tipps f&uuml;r deine Bewerbung. Steig jetzt bei Capgemini ein und profitiere von unseren <b>zahlreichen Benefits</b>. Mehr Informationen zu den <b>IT-Berufsfeldern</b> bei Capgemini und unseren <b>Standorten in Deutschland</b> findest du auf unserer Karriereseite: <b>capgemini.de/karriere</b></p>
<p>Informiere dich auf <b>glassdoor</b> und <b>kununu</b><b>, </b>wie unsere Mitarbeiter*innen Capgemini als Arbeitgeber bewerten.</p>
</div></div></div><p>Capgemini ist ein globaler Partner f&uuml;r die KI-gest&uuml;tzte Gesch&auml;fts- sowie Technologietransformation. Das Unternehmen schafft messbaren Mehrwert f&uuml;r seine Kunden, indem es die Zukunft von Organisationen gestaltet und im Zusammenspiel von KI, Technologie sowie dem Mensch Realit&auml;t werden l&auml;sst. Seit fast 60 Jahren steht Capgemini f&uuml;r Verantwortung wie auch Vielfalt und besch&auml;ftigt &uuml;ber 420.000 Mitarbeitende in mehr als 50 L&auml;ndern. Das End-to-End-Leistungsspektrum gr&uuml;ndet auf einer umfangreichen Branchenexpertise, einem starken Partner-&Ouml;kosystem sowie Kompetenzen in den Bereichen Strategie, Technologie, Design, Engineering und Operations. Die Gruppe erzielte 2025 einen weltweiten Umsatz von 22,5 Milliarden Euro.</p></div></div></div></div>

AI Solution Architect / Senior Engineer Financial Services (w/m/d)

GRID esports

<div>
 <ul>
  <li>
   Are you passionate about building event-driven systems?
  </li>
  <li>
   Do you have a strong grasp of Kotlin or Go?
  </li>
  <li>
   Do you enjoy finding solutions for significantly impactful challenges?
   <br/>
   <br/>
  </li>
 </ul>
 If the answers to the above questions are yes, then this role could be ideal for you!
 <br/>
 <br/>
 What you will do
 <br/>
 <br/>
 <ul>
  <li>
   Build greenfield mission-critical services and expand the reliability of existing ones
  </li>
  <li>
   Help to shape GRID's technological landscape together with experienced colleagues
  </li>
  <li>
   Participate in architectural discussions, providing feedback to coworkers and ensuring good practices
  </li>
  <li>
   Work closely together with product stakeholders to communicate progress and considerations effectively
   <br/>
   <br/>
  </li>
 </ul>
 Your skills will include (must have)
 <br/>
 <br/>
 <ul>
  <li>
   Minimum of 3 years of commercial experience
  </li>
  <li>
   Deep knowledge of a strongly typed language (preferably Kotlin / Go)
  </li>
  <ul>
   <li>
    Explicit (nullable) types
   </li>
   <li>
    Strong, minimal contracts
   </li>
   <li>
    Helpful abstractions and class hierarchies / compositions (introduced at an appropriate time)
   </li>
  </ul>
  <li>
   Ambition to build robust, high-quality mission-critical systems, leveraging the power of:
  </li>
  <ul>
   <li>
    Automated testing
   </li>
   <li>
    Automated monitoring and alerting
   </li>
   <li>
    CI/CD infrastructure
   </li>
  </ul>
  <li>
   Know-how of good API design (preferably REST / GraphQL), paying attention to:
  </li>
  <ul>
   <li>
    Documentation
   </li>
   <li>
    Self-documenting naming and structures
   </li>
   <li>
    Minimal and extendable contracts (while minimizing breaking changes)
   </li>
  </ul>
  <li>
   Experience with GraphQL/REST APIs, micro-service architecture and container / orchestration systems (preferably Docker / Kubernetes), while bearing in mind:
  </li>
  <ul>
   <li>
    Complexity trade-offs
   </li>
   <li>
    Fault-tolerance design
   </li>
  </ul>
  <li>
   Knowledge of JIRA, Agile and Scrum
  </li>
  <li>
   Good communication skills, especially when working with remote teams
  </li>
  <li>
   Good attention to detail
  </li>
  <li>
   Being able to work CET time zone
  </li>
 </ul>
 Nice to have
 <br/>
 <br/>
 <ul>
  <li>
   Production experience with designing and maintaining GraphQL APIs.
  </li>
  <li>
   Knowledge of eSports and gaming.
  </li>
  <li>
   The ability to thrive in a fast-paced software startup that has incredible potential
  </li>
  <li>
   A passion for software engineering while writing clean, well-tested code
  </li>
  <li>
   Enthusiasm for working in a Lean, fully Agile environment
  </li>
  <li>
   Comfortable using AI tooling where necessary (ex. open code, github copilot, claude code)
  </li>
  <li>
   Knowledge of modern AI workflows
   <br/>
   <br/>
  </li>
 </ul>
 What you can expect from GRID&rsquo;s Engineering Team
 <br/>
 <br/>
 <ul>
  <li>
   Impactful: With a robust CI/CD process, and a full suite of automated tests our engineers ship daily, allowing you to make impact on the product from day one with peace of mind
  </li>
  <li>
   Agile &amp; Inclusively: We&rsquo;ve developed our own kanban-based way of working that is constantly being improved and adapted by the self-organizing product-engineering teams. Opinions and ideas are valued from all
  </li>
  <li>
   Quality: Achieved by ensuring detailed stories and epics, high test coverage, a thorough code-review process, consciously taking on technical debt and an open culture of sharing opinions
  </li>
  <li>
   Organized: We strive for considered decisions, creating software that lasts. We document them in decision records, which any engineer in any team can drive
  </li>
 </ul>
</div>


Backend Engineer (m/f/x)

GRID eSports GmbH

<div><ul><li>Are you passionate about building event-driven systems?</li><li>
Do you have a strong grasp of Kotlin or Go?</li><li>
Do you enjoy finding solutions for significantly impactful challenges?</li></ul><p></p><p>
If the answers to the above questions are yes, then this role could be ideal for you!</p><h4 class="jobSectionHeader"><b><br>
What you will do</b></h4><ul><li>
Build greenfield mission-critical services and expand the reliability of existing ones</li><li>
Help to shape GRID's technological landscape together with experienced colleagues</li><li>
Participate in architectural discussions, providing feedback to coworkers and ensuring good practices</li><li>
Work closely together with product stakeholders to communicate progress and considerations effectively</li></ul><h4 class="jobSectionHeader"><b>
Your skills will include (must have)</b></h4><ul><li>
Minimum of 3 years of commercial experience</li><li>
Deep knowledge of a strongly typed language (preferably Kotlin / Go)<ul><li>
Explicit (nullable) types</li><li>
Strong, minimal contracts</li><li>
Helpful abstractions and class hierarchies / compositions (introduced at an appropriate time)</li></ul></li><li>
Ambition to build robust, high-quality mission-critical systems, leveraging the power of:<ul><li>
Automated testing</li><li>
Automated monitoring and alerting</li><li>
CI/CD infrastructure</li></ul></li><li>
Know-how of good API design (preferably REST / GraphQL), paying attention to:<ul><li>
Documentation</li><li>
Self-documenting naming and structures</li><li>
Minimal and extendable contracts (while minimizing breaking changes)</li></ul></li><li>
Experience with GraphQL/REST APIs, micro-service architecture and container / orchestration systems (preferably Docker / Kubernetes), while bearing in mind:<ul><li>
Complexity trade-offs</li><li>
Fault-tolerance design</li></ul></li><li>
Knowledge of JIRA, Agile and Scrum</li><li>
Good communication skills, especially when working with remote teams</li><li>
Good attention to detail</li><li>
Being able to work CET time zone</li></ul><h4 class="jobSectionHeader"><b>
Nice to have</b></h4><ul><li>
Production experience with designing and maintaining GraphQL APIs.</li><li>
Knowledge of eSports and gaming.</li><li>
The ability to thrive in a fast-paced software startup that has incredible potential</li><li>
A passion for software engineering while writing clean, well-tested code</li><li>
Enthusiasm for working in a Lean, fully Agile environment</li><li>
Comfortable using AI tooling where necessary (ex. open code, github copilot, claude code)</li><li>
Knowledge of modern AI workflows</li></ul><p></p><h4 class="jobSectionHeader"><b>
What you can expect from GRID&rsquo;s Engineering Team</b></h4><ul><li>
Impactful: With a robust CI/CD process, and a full suite of automated tests our engineers ship daily, allowing you to make impact on the product from day one with peace of mind</li><li>
Agile &amp; Inclusively: We&rsquo;ve developed our own kanban-based way of working that is constantly being improved and adapted by the self-organizing product-engineering teams. Opinions and ideas are valued from all</li><li>
Quality: Achieved by ensuring detailed stories and epics, high test coverage, a thorough code-review process, consciously taking on technical debt and an open culture of sharing opinions</li><li>
Organized: We strive for considered decisions, creating software that lasts. We document them in decision records, which any engineer in any team can drive</li></ul></div><p></p>

Explore 43+ Build and deployment engineer in Berlin this July. Find roles across top companies and apply now to boost your career.

43 build and deployment engineer jobs In Berlin

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AI Solution Architect / Senior Engineer Financial Services (w/m/d)

Backend Engineer (m/f/x)

Backend Engineer (m/f/x)