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ai adoption engineer - m/f/d Jobs in Berlin

ai adoption engineer - m/f/d

ai engineer — genai & agentic solutions (m/w/d) amazon web services Jobs in Berlin

cloud engineer (all genders) Jobs in Berlin

cloud engineer (all genders)

ai engineer m f d

SmartBroker

<div><h4 class="jobSectionHeader"><b>Your mission</b></h4><p>
For our significantly growing Data, AI &amp; MarketingTech Department, we are looking for several AI Engineers. Our new data team is established to focus on GenAI use case development for client facing product features as well as for increasing efficiencies of internal processes among other data related topics.<br>
As AI Engineer you are playing a pivotal role in Smartbroker&rsquo;s data &amp; AI journey. You will work at the core of GenAI implementation at the intersection of business, data, and technology, drive innovation and data &amp; AI adoption throughout the organization. Our GenAI use cases are focused on generating significant business value through the usage of most modern AI technologies.<br>
<br>
<b>Job Description</b></p><br>
<ul><li>
Design and develop AI use cases for internal processes or client facing product features using up to date GenAI technologies based on LLMs &amp; RAG</li><li>
Develop and maintain the technical AI and machine learning infrastructure for deploying AI-enabled solutions in the cloud</li><li>
Build AI and data features in close collaboration with product engineering teams</li><li>
Implement end-to-end efficient data and AI pipelines according to our data consumers&lsquo; needs up to consumable data &amp; AI products</li><li>
Own the technical implementation and components of your team as well as their operation and maintenance</li><li>
Act as a consultant for other technical teams with regards to usage of GenAI models, tools, and agents</li></ul><p></p><h4 class="jobSectionHeader"><b>
Your profile</b></h4><p></p><ul><li>
University degree in a technical field: computer science, business informatics, natural sciences, or similar</li><li>
Expert knowledge on state-of-the-art AI use cases, agentic applications and best practices</li><li>
Expert knowledge in machine learning, generative AI, LLMs &amp; RAG, AI agents and related technical tools (OpenAI, LangChain , Langfuse &hellip;)</li><li>
Very good python &amp; SQL programming skills, Java is a plus</li><li>
Deep technical knowledge of modern cloud based AI platforms (GCP/AWS)</li><li>
Deep knowledge of software engineering best practices&mdash;from requirements specification, version control, CI/CD, and testing to deployment and monitoring of data pipelines and services</li><li>
Familiarity with data &amp; AI security, data regulations, data privacy requirements</li><li>
Proactive, solution-oriented mindset, strong sense of ownership</li><li>
Strong English communication and presentation skills, German is a plus</li><li>
Interest in finance and fintech industry and a sense of humor</li></ul><p></p><h4 class="jobSectionHeader"><b>
About us</b></h4><p>
Among other things, the Smartbroker Group operates Smartbroker+ - a multi-award-winning online broker that is the only provider in Germany to combine the extensive product range of traditional brokers with the extremely favourable conditions of neobrokers. The portfolio also includes the digital fund broker SMARTBROKER Finance (formerly: FondsDISCOUNT.de), while the Group also operates four high-reach stock market portals (wallstreet-online.de, boersenNews.de, FinanzNachrichten.de and ARIVA.de). With several hundred million monthly page impressions, the Group is the largest independent financial portal operator in the German-speaking world and also maintains the largest financial community.<br>
The company is one of the pioneers of digital investment. For more than 25 years, we have been committed to breaking down the barriers to investing and enabling user-friendly and cost-effective investment processing.<br>
<br>
Our employees are the key to this success. Due to our strong growth momentum, we have created numerous attractive jobs in recent years. Every day, we strive to build the best team and give our employees the space to develop themselves in the best possible way. A diverse team of top performers ensures that we all learn something new every day. From a small team of around 20 people, we have now grown into a company with around 260 employees (as of 31 December 2023), based in a modern office in Berlin-Kreuzberg.<br>
<br>
We see ourselves as an innovative fintech that is embedded in a successful group of companies and thus combines a personal working atmosphere with the advantages of a financially strong public limited company. We rely on flat hierarchies, individual development and agile processes in all parts of the company. We are proud of the personal cohesion within the team and the above-average length of service of many employees. We are committed to diversity and equal opportunities. We strive to build a team that represents a variety of backgrounds, perspectives and skills. The more inclusive we are, the better our work and our team will be.<br>
<br>
If you want to be part of this fast-growing organisation, apply now to join the Smartbroker Group.<br>
<br>
We encourage women, non-binary and transgender people as well as all members of the LGBTQI+ community, people from marginalised ethnic backgrounds and people with visible or non-visible disabilities to apply if they are looking for an inclusive, diverse and safe working environment.</p></div>

AI Engineer (m/f/d)

Raisin

<div>
 Raisin is the world&rsquo;s leading platform for savings and investment products. Founded in 2012, the
 <strong>
  FinTech
 </strong>
 connects consumers with banks in the EU, the UK and the US. This gives consumers
 <strong>
  better interest rates
 </strong>
 and banks a
 <strong>
  diversified form of refinancing
 </strong>
 . Our vision is to offer savings and investments without barriers and thus open up the global 160 trillion euro market.
 <br/>
 <br/>
 Raisin currently employs more than 800 people from over 75 countries worldwide. Today, the platform holds over 80 billion euros in assets from
 <strong>
  more than one million investors
 </strong>
 which have accrued over 5 billion euros in returns.
 <br/>
 <br/>
 <strong>
  Team
  <br/>
  <br/>
 </strong>
 The AI Enablement team supports the adoption of AI capabilities across Raisin&rsquo;s products and internal systems.
 <br/>
 <br/>
 The team focuses on establishing a consistent and reliable approach to using AI in production by providing shared foundations, guidance, and reusable solutions. This includes working with engineering teams to integrate AI into existing systems, ensuring solutions are scalable, maintainable, and aligned with security and regulatory requirements.
 <br/>
 <br/>
 The scope ranges from improving internal workflows to enabling new product capabilities, depending on where AI can deliver measurable value.
 <br/>
 <br/>
 <strong>
  Your Responsibilities
  <br/>
  <br/>
 </strong>
 As an AI Engineer, you will help shape how AI is applied across the organization by combining hands-on engineering with enablement and guidance.
 <br/>
 <br/>
 <strong>
  Enable teams to adopt AI effectively
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work with product and engineering teams to identify and refine AI use cases
  </li>
  <li>
   Support teams in integrating AI capabilities into their systems and workflows by providing clear guidance on patterns, trade-offs, and practical implementation approaches
  </li>
  <li>
   Promote consistent and reusable solutions to reduce fragmentation across teams
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Contribute To Shared Capabilities Where Needed
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop or extend shared components, integrations, or services when required to unblock teams
  </li>
  <li>
   Define and implement patterns for integrating LLM capabilities into the platform
  </li>
  <li>
   Contribute to shared components or lightweight services that simplify access to AI capabilities across teams
  </li>
  <li>
   Manage AI costs and budget usage when providing shared model access and services to other teams.
  </li>
  <li>
   Support teams in developing retrieval-based approaches that make internal knowledge accessible to AI-driven use cases
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Guide technical decisions
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Evaluate tools, platforms, and approaches with consideration for scalability, security, and maintainability
  </li>
  <li>
   Help teams choose appropriate solutions based on context rather than applying AI by default
  </li>
  <li>
   Contribute to establishing a pragmatic and consistent approach to AI usage
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ensure robustness and responsible usage
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Optimize AI system efficiency by making principled model selections based on cost-performance trade-offs, inference latency, and token usage optimization
  </li>
  <li>
   Support the implementation of safeguards such as access controls, validation, and monitoring
  </li>
  <li>
   Collaborate with Security, Legal, and other stakeholders on requirements related to AI usage
  </li>
  <li>
   Contribute to practices that ensure solutions are reliable and aligned with internal standards
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Profile
  <br/>
  <br/>
 </strong>
 <strong>
  Background
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong experience as a Software Engineer (5+ years), with focus on backend or platform development
  </li>
  <li>
   Strong generalist mindset, comfortable working across technical domains
  </li>
  <li>
   Experience working on production systems and collaborating across teams
  </li>
  <li>
   Comfortable operating in environments with evolving scope and priorities
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in at least one programming language (Python preferred; JVM languages also relevant)
  </li>
  <li>
   Experience with cloud environments (AWS preferred)
  </li>
  <li>
   Solid understanding of APIs, system integration, and distributed systems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  AI Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Practical experience working with AI tools or platforms (e.g. LLM APIs or similar technologies)
  </li>
  <li>
   Familiarity with concepts such as prompt design, context engineering, retrieval-based approaches, or AI-driven workflows
  </li>
  <li>
   Ability to assess where AI adds value and where it does not
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Join our mission, join our team &ndash; and grow with us!
  <br/>
  <br/>
 </strong>
 At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.
 <br/>
 <br/>
 As part of our team, you will benefit from:
 <br/>
 <br/>
 <ul>
  <li>
   Employee Development Budget of &euro;2,000 and four full training days per year.
  </li>
  <li>
   Flexible working hours, home office and 30 vacation days.
  </li>
  <li>
   A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%.
  </li>
  <li>
   Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than &euro;20 per month.
  </li>
  <li>
   Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with &euro;25 per month.
  </li>
  <li>
   Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs.
  </li>
  <li>
   Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office.
  </li>
  <li>
   You are moving from another country or city to join us? We may support your relocation.
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Raisin Applicant Privacy Policy
  <br/>
  <br/>
 </em>
 We value diversity and the unique experiences each individual brings. If you&rsquo;re excited about this role but don&rsquo;t meet every requirement, we still encourage you to apply.
 <br/>
 <br/>
 We are an equal opportunity employer and are committed to creating an inclusive environment for everyone, regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
</div>


Langdock

<div>
 <strong>
  About Langdock
  <br/>
  <br/>
 </strong>
 We help organizations drive internal AI adoption through our enterprise-ready AI platform. Our product suite includes AI Chat, Assistants, Search, API, and Workflows - enabling companies to roll out AI internally and build custom AI use cases. We serve over 7,000 customers, from DAX companies to startups, including enterprise clients like Merck KGaA, Der Spiegel, GetYourGuide, Babbel, and Personio.
 <br/>
 <br/>
 We are model-agnostic, fully GDPR-compliant, and ISO 27001 &amp; SOC-2 Type 2 certified. Made in Germany, backed by Y Combinator.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 AI is the biggest transformation of our lifetime. Most companies know they need to move. Few know how. This is where you come in.
 <br/>
 <br/>
 As an
 <strong>
  AI Adoption Engineer
 </strong>
 in Langdock's Customer Success team, you turn ambition into working solutions. You sit at the intersection of customer, product, and engineering:
 <strong>
  discovering high-value use cases, scoping them, building them, and making sure they stick
 </strong>
 . You understand a customer's workflows, identify where AI creates real leverage, and deliver solutions they can maintain and scale on their own.
 <br/>
 <br/>
 This is a
 <strong>
  technical role
 </strong>
 . You write code. You build MCP servers and custom integrations. You work with agentic coding tools daily. You understand our platform at the code level and you're comfortable operating at the boundary between product and engineering. Everyone at Langdock builds AI agents and workflows to automate their own work. As a AI Adoption Engineer, you set the standard for what that looks like.
 <br/>
 <br/>
 You work project-based with our most relevant customers: running use case workshops, leading on-site hackathons, building complex agents and integrations, and handing over production-ready solutions. You also serve as the technical expert during Sales conversations, helping prospects understand what's possible and how Langdock fits into their architecture.
 <br/>
 <br/>
 You work closely with Customer Success to drive adoption, with Product and Engineering to push the platform forward, and with Marketing to create reusable resources that help customers build independently. When you hit a platform limitation, you articulate what needs to change and why, and work with the team to make it happen.
 <br/>
 <br/>
 <strong>
  What You Will Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Discover and scope high-value use cases: run AI Use Case Workshops, Department Deep-Dives, and Scoping Sessions to identify where AI creates the most impact for each customer.
  </li>
  <li>
   Build and deploy solutions: lead On-Site Hackathons, Implementation Sprints, and Architecture Reviews; deliver working agents, integrations, and workflows that customers can own and maintain.
  </li>
  <li>
   Serve as a technical expert during the Sales process: join sales conversations to answer technical questions, build tailored demos and proof-of-concept environments, evaluate integration architectures, and help prospects understand what Langdock can do for them. You are the person in the room who makes the product feel real for a technical buyer.
  </li>
  <li>
   Drive use case adoption: make sure customers actually adopt what you build; create documentation, run Office Hours, provide hands-on support, and enable power users to build independently.
  </li>
  <li>
   Create reusable resources: build templates, documentation, and reference architectures that Account Management and Marketing can share with customers and prospects.
  </li>
  <li>
   Push the platform forward: identify product limitations blocking high-value use cases, articulate requirements clearly, and work directly with Product and Engineering to close the gaps.
  </li>
  <li>
   Build your own tools: build MCP servers, develop custom integrations, and use agentic coding tools to build on top of the platform and automate your own workflows.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We're Looking For
  <br/>
  <br/>
 </strong>
 You have
 <strong>
  3+ years of experience in a technical, customer-facing role
 </strong>
 - Solutions Engineering, Technical Customer Success, Technical Consulting, or similar - where you both built things and worked directly with customers on a real technical product.
 <br/>
 <br/>
 You have
 <strong>
  experience working with enterprise customers on high-impact use cases
 </strong>
 : scoping projects, managing stakeholders, and delivering outcomes in large organizations where things move slowly, people change roles, and requirements shift. You've also supported the sales side:
 <strong>
  building demos
 </strong>
 that close deals, translating a product's capabilities into a prospect's language, and making complex technical products feel tangible.
 <br/>
 <br/>
 You are
 <strong>
  comfortable running workshops
 </strong>
 with senior stakeholders and following up with a sharp scoping document that aligns everyone afterwards. You know how to listen for the real problem behind a feature request. You translate complex technical concepts into language non-technical stakeholders understand, and turn customer needs into concrete, buildable specifications.
 <br/>
 <br/>
 You
 <strong>
  understand AI deeply
 </strong>
 and know how to turn it into working systems. You can judge when an LLM-based approach is the right tool and when it isn't, and you can hold your own in technical conversations with engineering teams. You
 <strong>
  write production-quality code
 </strong>
 in JavaScript and Python, and are comfortable with HTML/CSS, APIs, and integration architectures. You can build an MCP server, design a multi-step agent workflow, or debug a customer's integration setup.
 <strong>
  Agentic coding tools are a core part of how you operate
 </strong>
 .
 <br/>
 <br/>
 You are fluent in
 <strong>
  English (C1+)
 </strong>
 .
 <strong>
  German is a strong plus
 </strong>
 , since many of our customers are German-speaking enterprises.
 <br/>
 <br/>
 <strong>
  Bonus
 </strong>
 : you come from a technical consulting background, an AI-native company, or an early-stage startup. Experience with enterprise software, developer tools, or platform products is a plus.
 <br/>
 <br/>
 <strong>
  How We Work
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   100% on-site in our Berlin office (Greifswalder Strasse 212)
  </li>
  <li>
   Small team, high ownership - we expect everyone to manage themselves, find valuable work, and pull others in when needed
  </li>
  <li>
   We value calm urgency: things break, we stay calm and fix them. No drama, no firefighting culture
  </li>
  <li>
   We value ambitious execution: learning, shipping, and providing value are big drivers of happiness here
  </li>
  <li>
   We value caring ownership: we are kind, we care about our customers and each other, and we have fun at work
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary with equity participation
  </li>
  <li>
   Free lunch and dinner, every day in the office
  </li>
  <li>
   Premium gym access (right around the corner)
  </li>
  <li>
   Relocation support for those moving to Berlin
  </li>
  <li>
   A front-row seat to the enterprise AI transformation - working with some of the most ambitious companies in Europe
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  How To Apply
  <br/>
  <br/>
 </strong>
 Apply through our application form. We will ask you a few short questions - take your time with them, they matter more than your CV.
 <br/>
 <br/>
 Our process: Application - CV Review - Hiring Manager Interview (30 min, video) - Case Study - On-site Day (team meeting, founder interview) - Reference Call - Offer.
</div>


AI Adoption Engineer - m/f/d

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 - Security</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</div></div></div></div></li><li><div><div><p>
</p></div><div><h2 class="jobSectionHeader"><b>Referenznummer</b></h2><div><div>
3940</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 verifizierst Schwachstellen aus automatisierten Web Application Scans mit deinem tiefen Verst&auml;ndnis f&uuml;r Angriffsvektoren, identifizierst False Positives und optimierst kontinuierlich die Scan-Policies.</li><li>
Du nutzt gezielt KI-gest&uuml;tzte Tools sowie Automatisierungsl&ouml;sungen, um Analyseprozesse zu beschleunigen und die Service-Qualit&auml;t stetig zu verbessern.</li><li>
Du stellst sicher, dass moderne Schnittstellen wie REST, GraphQL und SOAP nicht nur oberfl&auml;chlich, sondern tiefgehend und automatisiert auf Schwachstellen gepr&uuml;ft werden.</li><li>
Du gew&auml;hrleistest den stabilen Betrieb von Scans in hybriden Netzwerken (On-Prem &amp; Cloud) ohne Impact auf das Core Business und l&ouml;st technische H&uuml;rden bei Routing oder Firewalls souver&auml;n.</li><li>
Du agierst als Wissens-Multiplikator und Mentor f&uuml;r deine Kollegen, dokumentierst Prozesse nachhaltig und unterst&uuml;tzt so den perspektivischen Ausbau des Teams.</li><li>
Du bewertest bestehende Systeme sowie Abl&auml;ufe hinsichtlich ihrer Aktualit&auml;t und priorisierst deine Aufgaben im Team flexibel nach ihrer Wirkung und Relevanz f&uuml;r das Unternehmen.</li></ul></div></div></div><div><h3 class="jobSectionHeader"><b>
Dein Profil</b></h3><div><div><ul><li>
Du hast eine erfolgreich abgeschlossenes Studium mit Informatik Schwerpunkt und bringst mindesten 3 Jahre Berufserfahrung im Web Application Pentesting mit.</li><li>
Du kommunizierst sicher auf Deutsch (B2-Level) und Englisch (B2/C1-Level).</li><li>
Du &uuml;berzeugst mit tiefem Web-App Scanner &amp; API-Know-how, bist Power-User einschl&auml;giger DAST-Tools und verstehst genau, wie man komplexe Webanwendungen sowie APIs durchleuchtet &ndash; inklusive dem Setup von automatisierten Scans mit Logins/Credentials.</li><li>
Du besitzt tiefgehendes Know-how in der automatisierten Absicherung moderner Schnittstellen (REST, GraphQL, SOAP) und deren tiefgreifender Pr&uuml;fung.</li><li>
Du bringst idealerweise Programmier- und Script-Kenntnisse mit, um manuelle Routinen zu automatisieren und effiziente KI-Workflows zu entwickeln.</li><li>
Du bringst ein grundlegendes Verst&auml;ndnis f&uuml;r (hybride) Infrastruktur, Cloud-Technologien oder Kubernetes mit, um Scanner-Anbindungen und Troubleshooting eigenst&auml;ndig im Team zu l&ouml;sen.</li><li>
Du zeichnest dich durch eine proaktive, serviceorientierte Arbeitsweise aus und hast den Anspruch, dich sowie den Service im Team kontinuierlich weiterzuentwickeln.</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>
Diana Wei&szlig;</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>BerufserfahreneBerlin</p><h3 class="jobSectionHeader"><b>
(Senior-) Professional Cyber Security Consulting (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneBerlin</p><h3 class="jobSectionHeader"><b>
(Senior-) Consultant Cyber Security Asset Management (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneNeckarsulm</p><h3 class="jobSectionHeader"><b>
Spezialist SAP Berechtigungs- &amp; Prozessmanagement (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneNeckarsulm</p><h3 class="jobSectionHeader"><b>
(Senior) Professional Cyber Security Engineer (w/m/d) - Backup &amp; Archiving</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneNeckarsulm</p><h3 class="jobSectionHeader"><b>
(Senior) Professional Cyber Security Engineer (w/m/d) - Identity &amp; Access Management</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneNeckarsulm</p><h3 class="jobSectionHeader"><b>
Experte Cyber Security Governance &amp; ISO (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneNeckarsulm</p><h3 class="jobSectionHeader"><b>
(Senior) Professional Cyber Security Engineer (w/m/d) - Netzwerksicherheit &amp; Kryptographie</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneNeckarsulm</p><h3 class="jobSectionHeader"><b>
(Senior) Professional Cyber Security Engineer (m/w/d) - Security Patch Management</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneNeckarsulm</p><h3 class="jobSectionHeader"><b>
Cyber Offensive Security Engineer / Red Team Engineer (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div><div><div><div><p>
BerufserfahreneNeckarsulm</p><h3 class="jobSectionHeader"><b>
Senior Professional Cyber Security Consulting (m/w/d)</b><b>(m/w/d)</b></h3></div></div></div></div></div></div></div><p></p>

Application Security Engineer (m/w/d)

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

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

ALMETRA

<div><p>Join us in reshaping manufacturing with advanced tech like computer vision and AI!</p><p>
As a <b>Senior/Staff Robotics Engineer (m/f/d)</b>, you will be integral in driving our company's next phase of innovation - automating industrial processes to address the scarcity of skilled labor. We have already proven our ability to optimize processes and increase efficiency, and now we are determined to automate tasks within industrial environments. Your main focus will be on R&amp;D and will involve building and showcasing a demonstrator that utilizes industrial robot arms to automate currently manual tasks.</p><p>
You have a strong background in state of the art in robotic manipulation, extensive experience in modeling, planning, and controlling robotic systems, as well as applying machine learning techniques to enhance robotic manipulation capabilities.</p><p></p><p><b>
Your role</b></p><ul><li><p>
Lead R&amp;D efforts to prototype a new robotic manipulator, conducting rigorous testing to validate design specifications and performance criteria.</p></li><li><p>
Work with industry-standard hardware platforms (e.g., ROS-compatible robots, specific sensor suites) to develop and deploy robotic manipulators for real world testing.</p></li><li><p>
Develop and implement models for hybrid dynamical systems exhibiting both continuous and discrete dynamic behaviors, specifically in robotic manipulators.</p></li><li><p>
Design advanced planning algorithms to optimize manipulation tasks such as pick-and-place operations.</p></li><li><p>
Experience with supervised learning, unsupervised learning, and reinforcement learning techniques to improve manipulation performance in robots.</p></li><li><p>
Previously trained RL models in both simulated and real-world environments with continuous action and state spaces.</p></li><li><p>
Design and develop middleware and software solutions tailored for robotic manipulation applications.</p></li><li><p>
Optimize software architecture for efficient communication between sensors, processors, and actuators in robotic manipulators.</p></li><li><p>
Develop perception algorithms for object pose estimation, matching, and instance segmentation to aid in manipulation tasks.</p></li><li><p>
Utilize deep learning techniques for end-to-end and self-supervised grasping, enhancing the robot's autonomous manipulation capabilities.</p></li><li><p>
Experience with integration between hardware components, including tactile sensors, force sensors, vision systems (e.g., RGB-D cameras), and depth sensors to optimize communication protocols and data flow for efficient robotic operations.</p></li></ul><p></p><p><b>
Your profile</b></p><ul><li><p>
Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related field, with a strong emphasis on robotics.</p></li><li><p>
Minimum of 1-2 years of experience in robotics research or development.</p></li><li><p>
Proven experience in modeling, planning, and controlling hybrid dynamical systems for robotic manipulation.</p></li><li><p>
Hands-on experience with machine learning techniques applied to robotic manipulation tasks.</p></li><li><p>
Experience with robotic perception technologies and deep learning frameworks as applied to manipulation.</p></li><li><p>
Strong programming skills in C++, Python, and familiarity with ROS (Robot Operating System).</p></li><li><p>
Experience with simulation tools such as Nvidia Isaac SIM, Gazebo, V-REP, CUDA for robotic manipulation.</p></li><li><p>
Proficiency with machine learning libraries like TensorFlow or PyTorch.</p></li><li><p>
Fluency in English is mandatory.</p></li></ul><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></div>

Senior/Staff Robotics Engineer (m/f/d)

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

Senior/Staff Robotics Engineer (m/f/d)