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ai adoption engineer - m/f/d

api developer

Almedia

<div>
 This isn&rsquo;t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We&rsquo;re aiming to become Germany&rsquo;s second bootstrapped unicorn. Almedia is already Europe&rsquo;s #3 fastest-growing company in 2025 (FT1000).
 <br/>
 <br/>
 We are building the future of marketing by rewarding our community of over 70 million users for engaging with our advertisers&rsquo; products. We are offering a new way to acquire users for the biggest companies in the world.
 <br/>
 <br/>
 <strong>
  Data Engineer
  <br/>
  <br/>
 </strong>
 You&rsquo;ll design, implement, scale, and maintain the code that powers our production environment. With real freedom to innovate, you&rsquo;ll shape the next generation of our data and backend platform&mdash;connecting APIs, pipelines, self-managed and cloud infrastructure to deliver fast, reliable, high-impact systems.
 <br/>
 <br/>
 <strong>
  A highly technical mindset and a drive to improve daily are essential.
  <br/>
  <br/>
 </strong>
 <strong>
  What You&rsquo;ll Do 🎯
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build Python APIs and backend services that power internal and third-party integrations
  </li>
  <li>
   Develop and operate end-to-end data pipelines, from ingestion to persistence across GCP services
  </li>
  <li>
   Build high-frequency, event-driven systems for real-time and asynchronous data processing
  </li>
  <li>
   Apply strong data modeling and database design principles for structured and semi-structured data
  </li>
  <li>
   Write clean, testable, production-grade code with strong coverage and CI/CD discipline
  </li>
  <li>
   Drive observability, performance, and reliability across backend and data systems
  </li>
  <li>
   Own services end-to-end &mdash; from schema and API design to deployment and monitoring
  </li>
  <li>
   Use modern cloud and automation practices (IaC tools like Terraform, containers, orchestration)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Bring 💡
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong experience in backend or data engineering
  </li>
  <li>
   Strong skills in Python and SQL
  </li>
  <li>
   Hands-on experience with cloud platforms (AWS or GCP) and data warehouse design (using BigQuery or Snowflake)
  </li>
  <li>
   Solid engineering discipline &mdash; CI/CD, testing, microservices, and end-to-end ownership
  </li>
  <li>
   Understanding of data modeling, schema design, and performance optimization
  </li>
  <li>
   Familiarity with orchestration tools (Airflow, Dagster) and observability practices
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with API integrations (CRM, attribution, or marketing systems)
  </li>
  <li>
   Exposure to containerization (Docker, Kubernetes)
  </li>
  <li>
   Knowledge of data testing frameworks or event-driven architectures
   <br/>
   <br/>
  </li>
 </ul>
 Why Almedia? 🎁
 <br/>
 <br/>
 <ul>
  <li>
   Own Our Growth: We offer all Berlin-based employees equity in Almedia to truly be a part of our success.
  </li>
  <li>
   Scale With Almedia: Grow alongside a startup that has been profitable from day one.
  </li>
  <li>
   Central Berlin Office: Work from a fully-stocked modern office built for collaboration, accessible from all around Berlin.
  </li>
  <li>
   Other Benefits: Transport subsidy, breakfasts and lunches, language learning, Urban Sports Club, and more.
   <br/>
   <br/>
  </li>
 </ul>
 We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.
</div>


Data Engineer

Speechify

<div><p>The mission of Speechify is to make sure that reading is never a barrier to learning.</p>
<p>
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
</p><p>Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.</p>
<p><b>
Overview</b></p>
<p>
The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.</p>
<p>
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.</p>
<p>
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.</p>
<p>
Our interview process involves several technical interviews and we aim to complete them within 1 week.</p>
<p><b>
What Yo</b><b>u'</b><b>ll Do</b></p>
<ul>
<li>Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements</li>
<li>Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability</li>
<li>Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients</li>
<li>Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience</li>
</ul>
<p><b>An Ideal Candidate Should Have</b></p>
<ul>
<li>Proven experience in backend development: TS/Node (required)</li>
<li>Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers</li>
<li>Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact</li>
<li>Preferred: Experience with Docker and containerized deployments</li>
<li>Preferred: Proficiency in deploying high availability applications on Kubernetes</li>
</ul>
<p><b>What We Offer
</b></p><ul><li>A dynamic environment where your contributions shape the company and its products</li>
<li>A team that values innovation, intuition, and drive</li>
<li>Autonomy, fostering focus and creativity</li>
<li>The opportunity to have a significant impact in a revolutionary industry</li>
<li>Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture</li>
<li>The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more</li>
<li>An active role at the intersection of artificial intelligence and audio &ndash; a rapidly evolving tech domain</li>
</ul>
<p><b>The Germany Based </b>Salary range for this role is: 30,000-120,000 USD/Year + Bonus + Stock depending on experience.</p>
<p><b>
Think you're a good fit for this job?</b></p>
<p>
Tell us more about yourself and why you're interested in the role when you apply.
<br>
And don't forget to include links to your portfolio and LinkedIn.</p>
<p><b>
Not looking but know someone who would make a great fit?</b></p>
<p>
Refer them!</p>
<p><b>
Speechify is committed to a diverse and inclusive workplace.</b></p>
<p>
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</p></div>

Software Engineer, Platform - Berlin, Germany

ai-coustics

<div>
 <p>
  ai-coustics is building the
  <strong>
   reliability layer for Voice AI
  </strong>
  , the system that closes the gap between raw audio input and reliable machine understanding in production. By combining state-of-the-art speech and audio research with real-time, production-grade SDKs, we test, observe, and enable Voice AI systems to work in any environment. Our software is used by fast-growing Voice AI companies across Europe and the United States whose products require reliable performance at scale: call center agents, voice agents, telephony apps, and enterprise voice assistants. We believe
  <strong>
   voice will become the main interface for technology
  </strong>
  and ai-coustics is building the foundational infrastructure to make audio input reliable, measurable, and easy to deploy.
 </p>
 <br/>
 <p>
  We are backed by
  <strong>
   leading early-stage investors
  </strong>
  including
  <strong>
   Connect Ventures, Partech, Inovia Capital
  </strong>
  , as well as angel investors from
  <strong>
   HuggingFace
  </strong>
  ,
  <strong>
   DeepMind
  </strong>
  and
  <strong>
   Amazon
  </strong>
  with deep expertise in AI and developer infrastructure. These partners share our vision and are helping us build a world-class team operating with
  <strong>
   high levels of responsibility and velocity
  </strong>
  . We look for people who take ownership, think systemically, and want to solve challenging real-world problems in close collaboration with our customers. If you're motivated by developing technology that is used in practice, shaping an emerging category and setting a new standard for how voice AI works in the real world, you'll feel at home at ai-coustics.
 </p>
 <br/>
 <p>
  <strong>
   Role Overview
  </strong>
 </p>
 <br/>
 <p>
  ai-coustics is seeking a
  <strong>
   Systems Software Engineer
  </strong>
  to join our
  <strong>
   Systems team
  </strong>
  , working at the core of our real-time Audio AI SDK and inference infrastructure. In this role, you will help maintain, optimize, and expand the SDK that powers ai-coustics' speech enhancement and Voice AI products across a wide range of platforms, runtimes, and languages.
 </p>
 <br/>
 <p>
  You will work primarily on our
  <strong>
   Rust-based inference and systems codebase
  </strong>
  , which underpins the
  <strong>
   Airten real-time inference engine
  </strong>
  , DSP modules, telemetry, model execution pipeline, and public SDKs used by developers worldwide. Your work will directly impact model performance, runtime efficiency, reliability, developer experience, and our ability to deploy neural audio models in latency-critical production environments.
 </p>
 <br/>
 <p>
  This role sits at the intersection of
  <strong>
   systems programming, ML inference, real-time audio, and developer infrastructure
  </strong>
  . You do not need to be an ML researcher, but you should be excited about making neural networks run fast, safely, and predictably in real-world applications.
 </p>
 <br/>
 <p>
  <strong>
   Ideal starting date:
  </strong>
  August/September
 </p>
 <br/>
 Tasks
 <br/>
 <p>
  <strong>
   ML Inference Engine &amp; Runtime Development
  </strong>
 </p>
 <br/>
 <ul>
  <br/>
  <li>
   Design, implement, and optimize
   <strong>
    systems-level components
   </strong>
   of the ai-coustics SDK and inference runtime
  </li>
  <br/>
  <li>
   Improve the performance, memory usage, and stability of the
   <strong>
    Airten real-time inference engine
   </strong>
  </li>
  <br/>
  <li>
   Work on model execution, tensor operations, scheduling, streaming inference, and runtime abstractions
  </li>
  <br/>
  <li>
   Support deployment of neural audio models across CPU, WASM, and other constrained runtime environments
  </li>
  <br/>
  <li>
   Explore and integrate ideas from modern inference engines and ML runtimes such as
   <strong>
    Burn, ONNX Runtime, tract, TensorRT, or similar systems
   </strong>
  </li>
  <br/>
  <li>
   Help bridge the gap between research models and production-ready, low-latency inference
  </li>
  <br/>
 </ul>
 <br/>
 <p>
  <strong>
   Audio, DSP &amp; Real-Time ML Systems
  </strong>
 </p>
 <br/>
 <ul>
  <br/>
  <li>
   Develop and maintain
   <strong>
    DSP modules
   </strong>
   and supporting audio-processing infrastructure
  </li>
  <br/>
  <li>
   Optimize streaming workloads under strict latency, jitter, and memory constraints
  </li>
  <br/>
  <li>
   Build tooling to validate numerical correctness, real-time behavior, and model quality across platforms
  </li>
  <br/>
  <li>
   Collaborate with ML researchers to make models easier to export, test, benchmark, and deploy
  </li>
  <br/>
  <li>
   Contribute to model conversion and deployment workflows, including formats such as
   <strong>
    ONNX
   </strong>
   , internal model formats, or Rust-native representations
  </li>
  <br/>
 </ul>
 <br/>
 <p>
  <strong>
   Language Bindings &amp; Platform Support
  </strong>
 </p>
 <br/>
 <ul>
  <br/>
  <li>
   Maintain and expand our
   <strong>
    C API
   </strong>
   and public C library generated from our internal Rust codebase
  </li>
  <br/>
  <li>
   Improve and support SDK
   <strong>
    wrappers and bindings
   </strong>
   for C++, Python, and Rust via the public C API
  </li>
  <br/>
  <li>
   Maintain
   <strong>
    WASM and Node.js
   </strong>
   SDKs built directly from the internal Rust source
  </li>
  <br/>
  <li>
   Ensure consistent behavior, performance, and API guarantees across Linux, macOS, Windows, WASM, and embedded-adjacent environments
  </li>
  <br/>
 </ul>
 <br/>
 <p>
  <strong>
   Testing, Reliability &amp; Tooling
  </strong>
 </p>
 <br/>
 <ul>
  <br/>
  <li>
   Design, implement, and extend our
   <strong>
    testing pipeline
   </strong>
   , including unit tests, integration tests, numerical tests, and performance benchmarks
  </li>
  <br/>
  <li>
   Build tooling to validate
   <strong>
    real-time constraints
   </strong>
   , memory usage, model outputs, and cross-language consistency
  </li>
  <br/>
  <li>
   Improve CI workflows to ensure safe and fast iteration on a closed-source core with public-facing SDKs
  </li>
  <br/>
  <li>
   Create benchmarks and profiling workflows that help us understand runtime bottlenecks and performance regressions
  </li>
  <br/>
  <li>
   Improve observability and diagnostics for SDK integrations in customer environments
  </li>
  <br/>
 </ul>
 <br/>
 <p>
  <strong>
   Documentation &amp; Developer Experience
  </strong>
 </p>
 <br/>
 <ul>
  <br/>
  <li>
   Write and maintain
   <strong>
    technical documentation
   </strong>
   for SDK APIs, runtime internals, model deployment, and integration guides
  </li>
  <br/>
  <li>
   Collaborate with product and developer-facing teams to improve
   <strong>
    onboarding and usability
   </strong>
  </li>
  <br/>
  <li>
   Support internal teams and external developers by diagnosing SDK and inference issues and proposing robust fixes
  </li>
  <br/>
  <li>
   Contribute to API design with a focus on
   <strong>
    ergonomics, safety, portability, and long-term maintainability
   </strong>
  </li>
  <br/>
 </ul>
 <br/>
 Requirements
 <br/>
 <p>
  <strong>
   Technical Skills
  </strong>
 </p>
 <br/>
 <ul>
  <br/>
  <li>
   Strong experience in
   <strong>
    systems programming
   </strong>
   , ideally with
   <strong>
    Rust
   </strong>
  </li>
  <br/>
  <li>
   Solid understanding of
   <strong>
    C/C++ interoperability
   </strong>
   , ABIs, and FFI design
  </li>
  <br/>
  <li>
   Experience building or maintaining
   <strong>
    SDKs, libraries, inference runtimes, or developer-facing systems
   </strong>
  </li>
  <br/>
  <li>
   Familiarity with
   <strong>
    real-time systems
   </strong>
   , performance optimization, memory management, and profiling
  </li>
  <br/>
  <li>
   Experience writing
   <strong>
    tests and benchmarks
   </strong>
   for low-level or performance-critical code
  </li>
  <br/>
  <li>
   Comfortable working across multiple platforms such as Linux, macOS, Windows, and WASM
  </li>
  <br/>
  <li>
   Ability to reason about API design, unsafe boundaries, ownership, error handling, and long-term maintainability
  </li>
  <br/>
 </ul>
 <br/>
 <p>
  <strong>
   ML Inference &amp; Audio Systems
  </strong>
 </p>
 <br/>
 <ul>
  <br/>
  <li>
   Familiarity with
   <strong>
    ML inference runtimes
   </strong>
   or deploying neural networks in production
  </li>
  <br/>
  <li>
   Experience with model formats or inference engines such as
   <strong>
    ONNX, Burn, tract, TensorRT, TFLite, Core ML, or similar systems
   </strong>
  </li>
  <br/>
  <li>
   Understanding of how neural networks are represented, executed, optimized, and benchmarked
  </li>
  <br/>
  <li>
   Exposure to real-time audio constraints such as latency, jitter, buffering, streaming workloads, and deterministic processing
  </li>
  <br/>
  <li>
   Interest in making ML models portable, efficient, and reliable outside of Python research environments
  </li>
  <br/>
 </ul>
 <br/>
 <p>
  <strong>
   Mindset &amp; Collaboration
  </strong>
 </p>
 <br/>
 <ul>
  <br/>
  <li>
   Strong ownership mentality and attention to detail
  </li>
  <br/>
  <li>
   Comfortable working in a
   <strong>
    closed-source core with open SDK surfaces
   </strong>
  </li>
  <br/>
  <li>
   Ability to reason about trade-offs between performance, safety, portability, and developer experience
  </li>
  <br/>
  <li>
   Clear written communication skills for documentation and technical design discussions
  </li>
  <br/>
  <li>
   Enjoys working in a fast-moving startup environment with real-world production impact
  </li>
  <br/>
  <li>
   Excited about building infrastructure that helps Voice AI systems work reliably in messy, real-world audio conditions
  </li>
  <br/>
 </ul>
 <br/>
 Benefits
 <br/>
 <ul>
  <br/>
  <li>
   Opportunity to work at a
   <strong>
    rapidly growing Voice AI startup
   </strong>
   , backed by top investors.
  </li>
  <br/>
  <li>
   <strong>
    Compensation and equity:
   </strong>
   Competitive salary package, additional benefits and stock options, enabling you to take part in the company&rsquo;s success.
  </li>
  <br/>
  <li>
   <strong>
    Startup Culture:
   </strong>
   Dynamic, fast-paced environment with passionate and collaborative colleagues.
  </li>
  <br/>
  <li>
   <strong>
    High Impact:
   </strong>
   Groundbreaking startup at a pivotal growth stage, making a real difference in how people experience audio.
  </li>
  <br/>
  <li>
   <strong>
    Ownership &amp; Autonomy:
   </strong>
   Take full ownership of projects and ship fast.
  </li>
  <br/>
  <li>
   <strong>
    Work With the Best:
   </strong>
   World-class team of engineers and builders with ample room for professional growth.
  </li>
  <br/>
  <li>
   <strong>
    Contribute to the Future:
   </strong>
   Define the landscape of Voice AI technology.
  </li>
  <br/>
 </ul>
 <br/>
 <p>
  If you are ready to lead the charge in revolutionizing Voice AI and drive our startup to new heights, we would love to hear from you. Apply today to join the ai-coustics team!
 </p>
</div>


Systems Software Engineer (Rust, ML Inference)

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)

Trust In SODA

<div>
 <p>
  <strong>
   DevOps Engineer
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   HQ in Berlin / Hybrid)
  </strong>
 </p>
 <p>
  <strong>
   Permanent Role
  </strong>
 </p>
 <p>
  <strong>
   Fintech Infrastructure
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Trust in SODA are partnered with a rapidly growing European fintech redefining how investment products are launched across the continent.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The business has built an API-first investment infrastructure platform that enables banks, fintechs and wealth managers to offer trading and investing products far faster and more efficiently than traditional brokerage providers.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Their technology simplifies the complexity of capital markets and regulatory infrastructure, helping partners launch modern investment experiences in weeks instead of months.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Now operating with the backing of a major financial institution while maintaining a strong engineering-led startup culture, they are continuing to scale their cloud and platform engineering capabilities across Germany.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is an opportunity to join a highly collaborative DevOps / Platform Engineering team where you will have genuine ownership over cloud infrastructure, platform reliability, security and developer enablement in a modern AWS-native environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why this opportunity stands out
  </strong>
 </p>
 <ul>
  <li>
   Modern engineering environment with strong technical leadership
  </li>
  <li>
   API-first fintech platform used by leading financial organisations across Europe
  </li>
  <li>
   Strong product and engineering culture with real autonomy and ownership
  </li>
  <li>
   Hybrid working model with flexibility across Germany
  </li>
  <li>
   Backed by significant financial stability while still operating with startup agility
  </li>
  <li>
   Excellent progression opportunities as the engineering organisation scales further
  </li>
  <li>
   Collaborative and international team with English as the working language
  </li>
  <li>
   Meaningful engineering challenges across scalability, compliance, cloud security and platform reliability
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you&rsquo;ll be working on
  </strong>
 </p>
 <ul>
  <li>
   Building and evolving secure cloud infrastructure on AWS
  </li>
  <li>
   Managing and improving Kubernetes/EKS environments
  </li>
  <li>
   Developing and maintaining Infrastructure-as-Code using Terraform/OpenTofu
  </li>
  <li>
   Enhancing CI/CD pipelines and deployment automation
  </li>
  <li>
   Improving platform observability, monitoring and reliability
  </li>
  <li>
   Supporting engineering teams with scalable internal tooling and developer platforms
  </li>
  <li>
   Driving cloud security, IAM best practices and compliance standards within a regulated fintech environment
  </li>
  <li>
   Contributing to architectural decisions and long-term platform strategy
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Tech stack / environment
  </strong>
 </p>
 <ul>
  <li>
   AWS (EKS, IAM, RDS, S3, networking)
  </li>
  <li>
   Kubernetes / EKS
  </li>
  <li>
   Terraform or OpenTofu
  </li>
  <li>
   ArgoCD / Argo Workflows
  </li>
  <li>
   GitHub Actions
  </li>
  <li>
   OpenTelemetry
  </li>
  <li>
   DataDog
  </li>
  <li>
   Cloud-native architecture &amp; observability tooling
  </li>
  <li>
   CI/CD &amp; Infrastructure Automation
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Ideal background
  </strong>
 </p>
 <ul>
  <li>
   Strong DevOps, Platform Engineering or Cloud Infrastructure experience
  </li>
  <li>
   Experience operating production AWS environments at scale
  </li>
  <li>
   Strong Kubernetes knowledge in enterprise or cloud-native environments
  </li>
  <li>
   Experience within fintech, SaaS, regulated environments or fast-growth startups is highly beneficial
  </li>
  <li>
   Comfortable working cross-functionally within lean engineering teams
  </li>
  <li>
   Engineers who enjoy ownership, autonomy and solving complex infrastructure challenges
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Package &amp; benefits
  </strong>
 </p>
 <ul>
  <li>
   Competitive salary + strong overall package
  </li>
  <li>
   Flexible working hours
  </li>
  <li>
   Hybrid working across Germany
  </li>
  <li>
   Workation policy across the EU
  </li>
  <li>
   Learning &amp; development support
  </li>
  <li>
   Collaborative engineering culture with genuine progression opportunities
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  If this sounds of interest, feel free to reach out confidentially for further information.
 </p>
</div>


DevOps Engineer

REPLY

<div><div><p>Aufgaben</p><div><ul><li>
Als Teil unseres innovativen und internationalen Teams &uuml;bernimmst du Verantwortung bei der <b>Beratung und Realisierung</b> von <b>Cloud-Anwendungen</b> und -<b>infrastrukturen </b>(z.B. im Bereich AI, Agentischen Systemen, IoT, Analytics &amp; BI) f&uuml;r unsere Kunden</li><li>
Du verantwortest <b>Entwurf</b>, <b>Entwicklung</b>, <b>Integration </b>und <b>Blueprinting </b>auf Basis von Amazon Web Services - Microservices mit <b>AWS Lambda </b>und <b>Amazon API Gateway</b> sowie Container (Docker, K8s, EKS, Fargate) -, &uuml;berf&uuml;hrst Projekte mit <b>DevOps-Prinzipien / Infrastructure as Code</b> (AWS CDK, Terraform, CloudFormation) in den reibungslosen Betrieb und entwickelst die Systemlandschaft stetig weiter</li><li>
Du baust <b>Pipelines f&uuml;r AI-Workloads</b> auf - vom Deployment von GenAI-Anwendungen mit<b> Amazon Bedrock</b> und <b>Amazon SageMaker </b>&uuml;ber Monitoring und Evaluierung bis zur Kostensteuerung im laufenden Betrieb</li><li>
Du entwickelst bestehende <b>Best Practices</b> zur Automatisierung der Infrastruktur und der Deployment Pipeline kontinuierlich weiter und tauschst dich dabei aktiv mit unseren erfahrenen Engineers aus</li></ul></div></div><div><p>
Benefits</p><ul><div><div><div>
SPORTZUSCHUSS</div></div></div><div><div><div>
COMPANY EVENTS</div></div></div><div><div><div>
HYBRIDES ARBEITEN</div></div></div><div><div><div>
MENTORING PROGRAMM</div></div></div></ul><div><ul><li>
Bei uns kannst du <b>deine Ideen einbringen</b> und die Weiterentwicklung der Firma mitgestalten</li><li>
Wir bieten dir einen<b> modernen Arbeitsplatz </b>mit super Hardware (nach Wahl) und eine internationale und famili&auml;re Arbeitsumgebung mit <b>flachen Hierarchien</b>. Bei uns l&auml;sst sich der Job gut mit der Familie verbinden</li><li>
Bei uns kannst du ein <b>JobRad </b>bekommen, wir beteiligen uns an deinen<b> sportlichen Aktivit&auml;ten </b>und &uuml;ber die Reply Gruppe bekommst du Zugriff auf zahlreiche weitere Benefits</li><li><b>
Team Building</b> ist bei uns ein wichtiger Faktor: Im Jahr finden diverse <b>Events </b>statt</li></ul></div></div><div><p>
Qualifikationen</p><div><ul><li><b>
Erfolgreich abgeschlossenes Hochschulstudium</b> in Informatik, Ingenieurwesen, Mathematik, Physik oder einem vergleichbaren technischem Studiengang und <b>erste Berufserfahrung</b> (bis zu 3 Jahre) als DevOps Engineer (m/w/d), Software Developer (m/w/d( oder System Administrator (m/w/d)</li><li><b>
Sehr gute Kenntnisse der AWS</b> - AWS Zertifizierungen (Associate-Level oder h&ouml;her) sind ein Plus - und <b>gute Erfahrung mit Linux- </b>und <b>Windowsumgebungen</b>, Netzwerken und IT-Sicherheit, sowie ausgepr&auml;gte Kenntnisse in <b>Containertechnologien</b></li><li>
Du kennst dich in g&auml;ngigen <b>Skriptsprachen </b>(z.B. Typescript, Bash und Python) und Infrastructure as Code (z.B. Terraform, CloudFormation oder Amazon CDK) aus und besitzt <b>Monitoring Skills</b> (z.B. mit Prometheus / Grafana, DataDog, OpsView, Nagios, Amazon CloudWatch)</li><li>
Au&szlig;erdem verf&uuml;gst du &uuml;ber <b>sehr gute Kenntnisse in IT-Infrastrukturen</b> sowie Spa&szlig; an <b>agilen Projekten</b></li><li>
Kenntnisse im <b>Einsatz von AWS AI-Services</b> (z.B. Amazon Bedrock, Amazon SageMaker) sowie Erfahrung mit AI-gest&uuml;tzten Entwicklungswerkzeugen und Agentic Coding (z.B. Amazon Q Developer, Claude Code)</li><li>
Sehr<b> gute Kommunikationsf&auml;higkeit</b> in <b>deutscher </b>und <b>englischer Sprache </b>sowie Bereitschaft zu <b>gelegentlichen Reisen </b>runden dein Profil ab</li></ul></div></div><div><p>
Develop yourself and the digital future &ndash; at Reply!</p><div><p>
Reply ist spezialisiert auf die Konzeption und Implementierung von L&ouml;sungen, die auf neuen Kommunikationskan&auml;len und digitalen Medien basieren. Mit einem Netzwerk hoch spezialisierter Unternehmen definiert und entwickelt Reply Gesch&auml;ftsmodelle, die durch KI, Big Data, Cloud Computing, digitale Medien und dem Internet der Dinge erm&ouml;glicht werden. Reply bietet Beratung, Systemintegration und Digital Services f&uuml;r Unternehmen aus den Bereichen Telekommunikation und Medien, Industrie und Dienstleistungen, Banken und Versicherungen sowie &ouml;ffentliche Verwaltung.</p></div></div></div>

DEVOPS ENGINEER — CLOUD & AI OPERATIONS (M/W/D) AMAZON WEB SERVICES

Bundesdruckerei-Gruppe

<div><div><div><h2 class="jobSectionHeader"><b>Ihr Aufgabenbereich</b></h2></div><div><ul>
<li>Verst&auml;rkung des Developer-Experience-Teams beim weiteren Ausbau der Application-Operations-Platform der Bundesdruckerei-Gruppe</li>
<li>Automatisierung von IT-Prozessen (Continuous Integration, Continuous Delivery, Testautomation) und eigenst&auml;ndige Durchf&uuml;hrung von Administrations- und Konfigurationst&auml;tigkeiten</li>
<li>Evaluierung neuer Technologien und stetige Weiterbildung im entsprechenden Bereich</li>
<li>Entwicklung von Managed Services zur Vereinfachung der Entwicklungs- und Betriebsprozesse</li>
<li>Fachliche und technologische Beratung der Product-Owner- und Software-Engineering-Teams bei Produkt- und Projektanforderungen</li>
<li>Planung und Entwicklung von Microservice-Architekturen</li>
<li>Dokumentation von Arbeitsergebnissen und Systemen in Ticketing- und Wissensplattformen</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Ihr Profil</b></h2></div><div><ul>
<li>Erfolgreich abgeschlossenes Studium der Informatik bzw. einer vergleichbaren Studienrichtung oder IT-technische Berufsausbildung mit einschl&auml;giger Berufserfahrung in vergleichbarer Position</li>
<li>Grundverst&auml;ndnis f&uuml;r DevOps-Prinzipien und Interesse an deren Umsetzung in der Praxis</li>
<li>Berufspraxis in der Implementierung von CI-/CD-Pipelines sowie im Deployment von gro&szlig;en Softwareanwendungen vorteilhaft</li>
<li>Expertise im Umgang mit Docker/Kubernetes; idealerweise Erfahrung mit Red Hat Openshift und Istio</li>
<li>Grundkenntnisse in Java, Microservices-Architekturen und API-Design (REST, Messaging)</li>
<li>Idealerweise Erfahrung mit Logging (Elasticsearch, Fluentd, Kibana) und Monitoring (Prometheus/Alertmanager, Grafana)</li>
<li>analytische, serviceorientierte Arbeitsweise und Freude an der Arbeit in agilen Teams (Scrum, Kanban)</li></ul></div></div></div>
<br><div><div><h2 class="jobSectionHeader"><b>Ihre Vorteile</b></h2>
</div><div><ul><li><b>Gemeinsam mehr erreichen: </b>toller Teamspirit in einem kompetenten und zukunftssicheren Arbeitsumfeld mit einzigartigen Projekten</li>
<li><b>Attraktive Arbeitsbedingungen: </b>ausgewogene Balance zwischen Beruf und Privatleben dank flexibler Arbeitsmodelle und -zeiten und 30 Tagen Urlaub im Jahr</li>
<li><b>Moderne Arbeitsausstattung: </b>top Equipment, agile Entwicklungsmethoden mit modernem Tech Stack und innovativen Kollaborationstools</li>
<li><b>Pers&ouml;nliche Entwicklung: </b>individuelle Weiterbildungsm&ouml;glichkeiten sowie Fach- und F&uuml;hrungskr&auml;fteprogramme</li>
<li><b>Optimale Verkehrsanbindung: </b>attraktiver Standort mit sehr guter Anbindung an den &ouml;ffentlichen Nahverkehr</li>
<li><b>Angebote zum Gesundbleiben: </b>Sportkooperationen, Pr&auml;ventionskurse und Laufevents</li>
<li><b>Weitere Extras: </b>betriebliche Altersvorsorge, verm&ouml;genswirksame Leistungen, unterst&uuml;tzende Ma&szlig;nahmen bei der Kinderbetreuung und der Pflege von Angeh&ouml;rigen</li></ul></div></div>

DevOps Engineer (m/w/d) Platform Services

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