data software engineer

smartclip

<div>
 <p>
  <strong>
   Remote in our day-to-day work. On-site when it matters.
  </strong>
 </p>
 <p>
  We work remote by default &ndash; focused, efficient, and with full ownership. For larger features, architectural decisions, and real brainstorming sessions, we come together in Berlin &ndash; fast, hands-on, and without unnecessary meeting overhead.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   We use AI to accelerate &ndash; not to replace thinking.
  </strong>
 </p>
 <p>
  <strong>
   We design the system, steer the output, and take responsibility for what we ship.
  </strong>
 </p>
 <p>
  <strong>
   Fast where it makes sense. Careful where it matters.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your mission
  </strong>
 </p>
 <p>
  Join our team at smartclip as a
  <strong>
   Software Engineer, Data Platforms
  </strong>
  . You will design and build the engines that process, transform, and refine terabytes of TV and advertising data every single day. Your goal is to ensure our data platform is scalable, resilient, and cutting-edge.
 </p>
 <ul>
  <li>
   <strong>
    Engineer Scalable Platforms:
   </strong>
   Design and implement technical solutions for Big Data applications in an agile, high-performance environment.
  </li>
  <li>
   <strong>
    Optimize Data Flows:
   </strong>
   Continuously develop and refine our data aggregation pipelines (TV data, advertising, and forecasting) primarily based on Spark and Scala.
  </li>
  <li>
   <strong>
    Cloud-Native Deployment:
   </strong>
   Host, manage, and scale your solutions using Docker and Kubernetes within the AWS cloud.
  </li>
  <li>
   <strong>
    Champion Quality:
   </strong>
   Lead the way in test automation &ndash; from unit tests to complex integration tests. For us, Test Driven Development (TDD) is the only way to build reliable systems.
  </li>
  <li>
   <strong>
    Tech Exploration:
   </strong>
   Evaluate new frameworks and tools, share your findings with the team, and help us stay at the forefront of Big Data technology.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your skills
  </strong>
 </p>
 <p>
  <strong>
   You are a software engineer at heart
  </strong>
  who loves the challenge of massive scale &ndash; you turn the complexity of terabytes of data into elegant, efficient code.
 </p>
 <ul>
  <li>
   <strong>
    Engineering Background:
   </strong>
   You have a solid track record in software engineering, with a strong focus on JVM languages (Scala/Java) and/or Python.
  </li>
  <li>
   <strong>
    Big Data Expertise:
   </strong>
   You are experienced with Spark, Hadoop, or similar distributed systems. Experience with Trino, Flowman, or Delta Lake will make you stand out.
  </li>
  <li>
   <strong>
    Infrastructure Knowledge:
   </strong>
   You are comfortable with CI/CD, Docker, Kubernetes, and AWS.
  </li>
  <li>
   <strong>
    Quality Mindset:
   </strong>
   You don&rsquo;t ship without tests. You value efficiency, clean architecture, and pragmatic solutions.
  </li>
  <li>
   <strong>
    Open Source Advocate:
   </strong>
   You love the freedom and transparency of open-source software (you won't find any closed-source or Microsoft stacks here).
  </li>
  <li>
   <strong>
    Mindset:
   </strong>
   A "let's figure it out" attitude, a hands-on mentality, and fluency in German and English.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why you&rsquo;ll love working with us
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Ownership over tickets:
   </strong>
   You&rsquo;re trusted with real responsibility, not just tasks. No unnecessary bureaucracy, no micromanagement &ndash; we rely on you to take things forward.
  </li>
  <li>
   <strong>
    Build &gt; Talk:
   </strong>
   We test what works &ndash; not what sounds good. Fail fast, learn faster.
  </li>
  <li>
   <strong>
    High standards, low ego:
   </strong>
   We take our work seriously, but not ourselves. Direct feedback, honest collaboration, no drama.
  </li>
  <li>
   <strong>
    Stay sharp:
   </strong>
   Hackathons, conferences, community &ndash; we invest in your growth and keep you at the cutting edge.
  </li>
  <li>
   <strong>
    And yes &ndash; the fundamentals are covered too:
   </strong>
   30 days of vacation + Dec 24 &amp; 31 off, Smart Fridays (4 days week possible), mobility (Germany ticket &amp; JobRad), sports &amp; health offerings, mental health support, corporate benefits, RTL+ access, and more.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your CV is just the starting point.
  </strong>
 </p>
 <p>
  What matters more to us than your resume: a portfolio, a side project, a demo repo &ndash; anything that shows you don&rsquo;t just talk about code, you ship it. Production-ready. Thought through. Done.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Welcome to smartclip! We&rsquo;re just your average group of techies, you know, trying to keep the internet open and defend the European TV industry from Silicon Valley&rsquo;s giants. Join us!
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About smartclip
  </strong>
 </p>
 <p>
  smartclip is the adtech development unit of RTL Group &mdash; Europe&rsquo;s leading free-to-air broadcaster group. Our proprietary advertising technology is custom-built for the needs of European broadcasters and publishers &mdash; enabling media owners to implement smarter monetisation strategies. We are committed to delivering the most innovative ad experiences spanning in-stream, out-stream, addressable TV, connected TV, audio, and gaming &mdash; ultimately empowering brands with true cross-screen storytelling opportunities on all devices.
 </p>
 <p>
  <br/>
 </p>
 <p>
  For more information: Please visit www.smartclip.tv and follow us on LinkedIn.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Berlin or Hybrid (max. 3 hours travel time to Berlin)
 </p>
</div>


Software Engineer (f/m/d) – Data Platforms

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>
</p><div><div><div><p>BerufserfahreneBad Friedrichshall
</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>
BerufserfahreneBad Friedrichshall
</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>
BerufserfahreneBad Friedrichshall
</p><h3 class="jobSectionHeader"><b>Solution Architect ServiceNow (Risk Assessment) (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneBad Friedrichshall
</p><h3 class="jobSectionHeader"><b>ServiceNow Developer - ITSM / CSM (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneBad Friedrichshall
</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>
BerufserfahreneBad Friedrichshall
</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>
BerufserfahreneBad Friedrichshall
</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>
BerufserfahreneBad Friedrichshall
</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>
BerufserfahreneBad Friedrichshall
</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)

CLERA

<div><h3 class="jobSectionHeader"><b>About the Role</b></h3><p>
We're an early-stage, AI-native startup building a procurement intelligence platform that connects category managers to real-time supplier data and enterprise systems. We're hiring a <b>Founding Engineer</b> to join our small product team on-site in <b>Berlin</b>.</p><p>
This is a high-ownership role: you'll shape core product areas end-to-end, influence architecture and engineering culture, and ship iteratively with direct customer feedback. As one of the first engineers, you'll work closely with the founding team on major technical and product decisions &mdash; and help define what great engineering looks like as the team grows.</p><h3 class="jobSectionHeader"><b>
What You'll Do</b></h3><ul><li><p>
Own core product areas end-to-end, from AI agent orchestration to the UI that category managers use daily.</p></li><li><p>
Design reliable LLM workflows with evaluation loops, guardrails, and observability that work robustly in production.</p></li><li><p>
Build real-time supplier data pipelines, normalization layers, and integrations with enterprise ERP systems.</p></li><li><p>
Ship to production regularly and collaborate directly with customers to iterate on real feedback.</p></li><li><p>
Make full-stack architectural decisions focused on performance, security, and developer experience.</p></li><li><p>
Define engineering culture, tooling, and processes as the team scales.</p></li><li><p>
Contribute to the product roadmap alongside the founding team.</p></li><li><p>
Mentor teammates and grow toward an engineering leadership path.</p></li></ul><h3 class="jobSectionHeader"><b>
What We're Looking For</b></h3><p><b>
Required:</b></p><ul><li><p>
Strong full-stack foundation with equal comfort across interfaces, back-ends, and the seam between them.</p></li><li><p>
Proficiency in <b>TypeScript</b> (front-end and back-end) and <b>Python</b>; experience with Next.js and modern API patterns.</p></li><li><p>
Hands-on experience designing and operating <b>AI/LLM infrastructure</b> &mdash; retrieval, embeddings, latency/cost/quality trade-offs, monitoring, and safety guardrails.</p></li><li><p>
Proven ability to build and ship <b>SaaS products end-to-end</b> in a startup environment.</p></li><li><p>
Experience building data pipelines, normalization, and integrations with enterprise systems.</p></li><li><p>
Domain knowledge in <b>ERP, procurement, or related enterprise software</b>.</p></li><li><p>
Builder mindset: you default to shipping, learning from users, and iterating fast.</p></li><li><p>
Comfortable with ambiguity &mdash; able to define <i>what</i> to build as well as <i>how</i> to build it.</p></li><li><p>
Strong written and verbal communication skills; ability to work directly with customers and cross-functional teammates.</p></li></ul><p><b>
Nice to Have:</b></p><ul><li><p>
Prior experience in a founding or first-engineer role.</p></li><li><p>
Background in procurement, supply chain, or ERP/procurement software specifically.</p></li></ul><p><b>
Important:</b> Candidates must be eligible to work in Germany without employer visa sponsorship. No visa sponsorship is available for this role.</p><h3 class="jobSectionHeader"><b>
Location</b></h3><p>
This is an <b>on-site role in Berlin, Germany</b>. You'll be working alongside the founding team in person day-to-day.</p><h3 class="jobSectionHeader"><b>
Compensation &amp; Benefits</b></h3><p>
Compensation details will be discussed during the interview process. As a founding team member, you can expect a competitive package including meaningful early-stage equity.</p></div>

Founding Engineer

ENWAY a Bucher Company

<div>
 <p>
  Autonomous street cleaning is no longer a concept - it's on the road. At ENWAY, a Bucher Municipal company based in Berlin, we turn conventional street sweepers into self-driving machines through advanced robotics and software engineering. We've just launched our first product: the Bucher CityCat VR17ae, a fully autonomous compact sweeper.
 </p>
 <br/>
 <p>
  As our Full Stack Web Engineer, you'll build the web applications and tools that bring our vehicles to life for the people who operate them - fleet dashboards, customer and operator portals, and the internal tools our engineering and operations teams rely on every day. You'll own features end to end, from UI to API to data.
 </p>
 <br/>
 <p>
  This is a role for a versatile engineer who's comfortable across the stack, cares about building things people actually use, and enjoys turning complex data - live vehicle telemetry, fleet status, mission data - into clear, reliable interfaces. You'll work closely with our product, design, robotics, and operations teams.
 </p>
 <br/>
 <p>
  Backed by Bucher Municipal, a world-leading manufacturer of municipal cleaning vehicles (sweepers, sewer cleaning, winter maintenance, refuse collection, and digital services), you get startup pace with industrial-scale impact.
 </p>
 <br/>
 Tasks
 <br/>
 <ul>
  <br/>
  <li>
   Build and maintain web applications across the full stack - frontend, backend, and APIs - for fleet monitoring, operations, and customer-facing products.
  </li>
  <br/>
  <li>
   Turn live vehicle and fleet data into clear, responsive dashboards and visualisations (status, telemetry, maps, reports).
  </li>
  <br/>
  <li>
   Design and build robust APIs and data models, and integrate with our vehicle, telematics, and backend systems.
  </li>
  <br/>
  <li>
   Build internal tools that make our engineering, service, and operations teams faster.
  </li>
  <br/>
  <li>
   Own features end to end: design, implement, test, deploy, and iterate based on real user feedback.
  </li>
  <br/>
  <li>
   Collaborate closely with product, design, robotics/software, and operations to ship the right things.
  </li>
  <br/>
  <li>
   Help shape our frontend/backend architecture, standards, and best practices as our digital products grow.
  </li>
  <br/>
 </ul>
 <br/>
 Requirements
 <br/>
 <p>
  <strong>
   Must have:
  </strong>
 </p>
 <br/>
 <ul>
  <br/>
  <li>
   Experience building and shipping production web applications end to end (frontend and backend).
  </li>
  <br/>
  <li>
   Proficiency with a modern frontend framework (e.g. React, Vue, or Angular) and TypeScript/JavaScript.
  </li>
  <br/>
  <li>
   Solid backend experience (e.g. Node.js) building and maintaining REST and/or GraphQL APIs.
  </li>
  <br/>
  <li>
   Good command of relational databases (e.g. PostgreSQL) and sound data modelling.
  </li>
  <br/>
  <li>
   Comfortable with Git, automated testing, and CI/CD.
  </li>
  <br/>
  <li>
   Solid grasp of web fundamentals, API design, and security basics.
  </li>
  <br/>
  <li>
   Ownership mindset - you take features from idea to production and care about quality.
  </li>
  <br/>
  <li>
   Able to work independently and collaboratively in a cross-functional team.
  </li>
  <br/>
  <li>
   3+ years of professional full-time experience.
  </li>
  <br/>
  <li>
   Fluent English.
  </li>
  <br/>
 </ul>
 <br/>
 <p>
  <strong>
   Nice to have:
  </strong>
 </p>
 <br/>
 <ul>
  <br/>
  <li>
   German language skills.
  </li>
  <br/>
  <li>
   Real-time data (WebSockets, streaming) and event-driven systems.
  </li>
  <br/>
  <li>
   Maps and geospatial data (e.g. Mapbox, Leaflet, PostGIS).
  </li>
  <br/>
  <li>
   Cloud (AWS/GCP/Azure) and containers (Docker).
  </li>
  <br/>
  <li>
   Data-visualisation / dashboard experience.
  </li>
  <br/>
  <li>
   A good eye for UI/UX and working closely with designers.
  </li>
  <br/>
  <li>
   Interest in robotics, IoT, telematics, or hardware-connected products.
  </li>
  <br/>
 </ul>
 <br/>
 Benefits
 <br/>
 <ul>
  <br/>
  <li>
   Build digital products that put autonomous and connected vehicles into real-world operation.
  </li>
  <br/>
  <li>
   High ownership and direct impact - your work is used every day by operators, customers, and colleagues.
  </li>
  <br/>
  <li>
   30 days of vacation per year.
  </li>
  <br/>
  <li>
   Flexible working times &amp; Hybrid working (achievement of goals matters, not "face time").
  </li>
  <br/>
  <li>
   Flat hierarchies and the freedom to develop and implement your own ideas.
  </li>
  <br/>
  <li>
   High-performance company laptop.
  </li>
  <br/>
  <li>
   Lunch &amp; fitness-studio subsidies.
  </li>
  <br/>
  <li>
   Cool and vibrant working environment at the center of groundbreaking innovation.
  </li>
  <br/>
  <li>
   Exciting team events.
  </li>
 </ul>
</div>


Full Stack Web Engineer (f/m/d)

ALMETRA

<div><p>We&rsquo;re looking for a Computer Vision Engineer focused on bringing advanced vision models into production. You&rsquo;ll own the full lifecycle of CV systems &mdash; from model integration and orchestration to deployment on cloud and edge environments.</p><h2 class="jobSectionHeader"><b><br>
Your role</b></h2><ul><li><p>
Develop and deploy computer vision models for real-world video and sensor applications</p></li><li><p>
Build reliable training, evaluation and inference pipelines for large-scale data</p></li><li><p>
Operate and optimise GPU clusters, Docker/Kubernetes environments and cloud workloads</p></li><li><p>
Implement CI/CD, versioning and orchestration for ML pipelines</p></li><li><p>
Collaborate with research engineers to transition prototypes into scalable, production-grade systems</p></li><li><p>
Work with robotics and platform teams to ensure robust deployment at the edge</p></li></ul><h2 class="jobSectionHeader"><b>
You are</b></h2><ul><li><p>
5&ndash;7 years experience in computer vision, ML engineering or production AI systems</p></li><li><p>
Strong in Python, PyTorch and modern CV architectures (e.g. temporal transformers, detection, tracking)</p></li><li><p>
Experienced with containerisation and orchestration (Docker, Kubernetes, MLFlow, Airflow, etc.)</p></li><li><p>
Familiar with distributed training, GPU management and inference optimisation</p></li><li><p>
Solid understanding of cloud infrastructure (AWS or similar) and MLOps tooling</p></li><li><p>
Pragmatic engineer &mdash; focused on reliability, reproducibility and maintainability</p></li></ul><h2 class="jobSectionHeader"><b>
Nice to have</b></h2><ul><li><p>
Experience deploying CV models on edge devices or embedded systems</p></li><li><p>
Familiarity with TensorRT, quantisation, and real-time inference optimisation</p></li><li><p>
Background in video analytics, action recognition or multi-modal perception</p></li><li><p>
Understanding of model orchestration frameworks and large data pipelines</p></li></ul><h2 class="jobSectionHeader"><b><br>
Why this role matters</b></h2><p><br>
You bridge research and production &mdash; turning cutting-edge computer vision models into robust, real-time systems that power intelligent industrial automation.</p><p><b>
What we offer</b></p><p>
Employee Share Options Program for all permanent employees*</p><p>
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.</p><p>
Be on the forefront in defining what artificial intelligence means in manufacturing</p><p>
Gain hands-on experience in working in an AI-first software company
</p><p>Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company</p><p>
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact</p><p>
Network with professionals and leaders in the field, opening doors to potential future career opportunities</p><p>
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours</p><p>
Ethics: We are committed to developing ethical AI software<br>
<br>
<b>Don't meet all the requirements?</b></p><p><i>
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.</i></p><ul><li><br>
<i>Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</i></li></ul><p>
Compensation Range: &euro;80K - &euro;120K</p></div>

Senior Computer Vision Engineer (m/f/d)

Sony Interactive Entertainment

<div>
 <strong>
  Why Sony Interactive Entertainment?
  <br/>
  <br/>
 </strong>
 Sony Interactive Entertainment isn&rsquo;t just the Best Place to Play &mdash; it&rsquo;s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we&rsquo;re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
 <br/>
 <br/>
 <strong>
  Site Reliability Engineer
  <br/>
  <br/>
 </strong>
 As a part of Sony Computer Entertainment, the Gaming, Developer &amp; Future Technology Group (GDFT) is leading the cloud gaming revolution, putting console-quality video games on any device, from TVs to consoles to mobile devices and beyond.
 <br/>
 <br/>
 Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers. We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels.
 <br/>
 <br/>
 We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring the operational readiness and stability.
 <br/>
 <br/>
 <strong>
  What you'll be doing:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead team technical discussions, especially around ongoing improvements in Reliability and Scalability
  </li>
  <li>
   Be involved in creating High Level Designs (HLDs) for new products and platforms
  </li>
  <li>
   Mentor junior SRE staff and enable them for success
  </li>
  <li>
   Lead incident response and post-mortem activities within your assigned service team
  </li>
  <li>
   Work with other Engineers in a cross-functional team to prioritise reliability improvements to address technical debt and toil
  </li>
  <li>
   Contribute to code to improve reliability
  </li>
  <li>
   Implement automation to reduce ongoing toil
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What we're looking for:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Minimum of 5+ years working experience in Software Development and/or Linux Systems Administration role.
  </li>
  <li>
   Strong interpersonal, written and verbal communication skills.
  </li>
  <li>
   Available to be scheduled in on-call rotation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills &amp; Knowledge:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure.
  </li>
  <li>
   Development experience in one or more of the following programming languages:
  </li>
  <li>
   Python (preferred)
  </li>
  <li>
   Bash, Go, Java, C++, or Rust
  </li>
  <li>
   In addition, experience with at least 3 of the following topics:
  </li>
  <li>
   Distributed data storage at scale (Hadoop, Ceph)
  </li>
  <li>
   NoSQL at scale (MongoDB, Redis, Cassandra)
  </li>
  <li>
   Data Aggregation technologies. (ElasticSearch, Kafka)
  </li>
  <li>
   Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability
  </li>
  <li>
   Monitoring &amp; Alerting (Prometheus, Grafana), and Incident Management toolsets
  </li>
  <li>
   Kubernetes and/or AWS (deployment and management)
  </li>
  <li>
   Software Distribution (Package management and distribution at scale)
  </li>
  <li>
   Configuration Management (ansible, saltstack, puppet, chef)
  </li>
  <li>
   S/W Performance analysis and load testing (QA or SDET experience: a plus)
   <br/>
   <br/>
  </li>
 </ul>
 Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
 <br/>
 <br/>
 Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
 <br/>
 <br/>
 <strong>
  Equal Opportunity Statement:
  <br/>
  <br/>
 </strong>
 <em>
  Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
  <br/>
  <br/>
 </em>
 <em>
  We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
  <br/>
  <br/>
 </em>
 <em>
  Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
 </em>
</div>


Site Reliability Engineer

<div><p><b>Platform Engineer</b></p><p>
We're looking for a (Senior) Platform Engineer to own and evolve our infrastructure &mdash; with a focus on developer experience and the chance to get hands-on with AI systems.</p><p></p><p><b>
What you'll do</b></p><ul><li><p>
Design and maintain cloud infrastructure on AWS using Terraform</p></li><li><p>
Own and improve CI/CD pipelines for fast, safe deployments</p></li><li><p>
Manage and scale Kubernetes clusters</p></li><li><p>
Improve developer experience &mdash; making it easy for teams to ship and debug</p></li><li><p>
Implement monitoring, logging and alerting for full observability</p></li><li><p>
Configure and optimise CDN infrastructure</p></li></ul><p></p><p><b>
You are</b></p><ul><li><p>
8-10 years of experience in DevOps, SRE or platform engineering roles</p></li><li><p>
Expertise in AWS</p></li><li><p>
Proficient with Terraform and infrastructure-as-code workflows</p></li><li><p>
Experienced in building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins or similar)</p></li><li><p>
Solid understanding of Kubernetes &mdash; deployment, networking, scaling and troubleshooting</p></li><li><p>
Strong sysadmin fundamentals &mdash; Linux, networking, storage and configuration management</p></li><li><p>
Comfortable working with relational databases (PostgreSQL, MySQL) and time series databases (TimescaleDB, Prometheus)</p></li><li><p>
A clear communicator who works well across engineering and data science teams</p></li><li><p>
Pragmatic and reliable &mdash; you know when to move fast and when to be careful</p></li></ul><p></p><p><b>
Nice to have</b></p><ul><li><p>
Experience supporting ML infrastructure &mdash; model deployment, GPU workloads or training pipelines</p></li><li><p>
Background in CDN configuration (CloudFront, Fastly, Cloudflare)</p></li><li><p>
Familiarity with streaming data or video processing systems</p></li><li><p>
Interest in MLOps and bridging the gap between ML research and production</p></li></ul><p></p><p><b>
Why this role matters</b></p><p>
You'll keep our systems running smoothly and help the team ship with confidence. And if you're curious about ML, you'll get real exposure to production AI systems.</p><p></p><p>
#LI-SP1 #LI-Hybrid</p><p><b>
What we offer</b></p><p>
Employee Share Options Program for all permanent employees*</p><p>
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.</p><p>
Be on the forefront in defining what artificial intelligence means in manufacturing</p><p>
Gain hands-on experience in working in an AI-first software company
</p><p>Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company</p><p>
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact</p><p>
Network with professionals and leaders in the field, opening doors to potential future career opportunities</p><p>
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours</p><p>
Ethics: We are committed to developing ethical AI software<br>
<br>
<b>Don't meet all the requirements?</b></p><p><i>
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.</i></p><ul><li><br>
<i>Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</i></li></ul><p>
Compensation Range: &euro;70K - &euro;85K</p></div>

Platform Engineer (m/f/d) (AI Startup)

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