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senior sre - cloud network engineering Jobs in Berlin

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(senior) cloud site reliability engineer (scalability) (m/f/x) Jobs in Berlin

ai solution architect / senior engineer financial services (w/m/d) Jobs in Berlin

senior solutions engineer

UP42

<div>
 <p>
  UP42 was founded in 2019 with a clear purpose: to transform how organizations order, access, and analyze Earth observation data. Our platform brings together the world&rsquo;s leading geospatial providers, and offers a single touchpoint to access, manage, and process data at scale. From vegetation management and infrastructure monitoring to disaster response, UP42 helps organizations across industries find solutions to complex problems through Earth observation. Our expert support team and detailed documentation guide our users through every step. Since July 2025, UP42 has been a part of Neo Space Group.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a
  <strong>
   Senior Cloud Engineer (m/f/x)
  </strong>
  to join our motivated SRE team in Berlin to help scale and maintain our cloud infrastructure while ensuring the reliability and performance of our geospatial processing platform.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you will do:
  </strong>
 </p>
 <ul>
  <li>
   Design and implement scalable, reliable infrastructure solutions using cloud-native technologies.
  </li>
  <li>
   Lead and contribute to the development of our infrastructure-as-code practices using Terraform and other modern IaC tools.
  </li>
  <li>
   Manage and optimize Kubernetes clusters and workloads in Google Cloud Platform.
  </li>
  <li>
   Implement and enhance observability solutions across our platform using tools like Prometheus and other monitoring systems.
  </li>
  <li>
   Drive improvements in system reliability through automation, monitoring, and incident response.
  </li>
  <li>
   Collaborate with development teams to establish and maintain SLOs/SLIs.
  </li>
  <li>
   Participate in the on-call rotation (office hours only) and lead incident response efforts.
  </li>
  <li>
   Mentor other team members and contribute to establishing best practices for infrastructure and reliability.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Here is a good summary of what we are looking for:
  </strong>
 </p>
 <ul>
  <li>
   Several years of experience in Site Reliability Engineering or DevOps roles
  </li>
  <li>
   Strong expertise with cloud platforms, particularly Google Cloud Platform, and infrastructure-as-code tools like Terraform
  </li>
  <li>
   Solid experience with Kubernetes administration and operations in production environments
  </li>
  <li>
   Experience in implementing and managing observability solutions and monitoring systems
  </li>
  <li>
   Strong background in automation and CI/CD pipeline development
  </li>
  <li>
   Ability to work effectively as an individual contributor within a collaborative team setting
  </li>
  <li>
   Track record of leading technical initiatives while building consensus across multiple engineering teams
  </li>
  <li>
   Effective communication skills in English with ability to collaborate across teams
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Bonus points if you bring:
  </strong>
 </p>
 <ul>
  <li>
   Deep expertise in system administration, software engineering, networking design &amp; protocols, or cloud security
  </li>
  <li>
   Working knowledge of security compliance frameworks such as SOC 2 or ISO 27001
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Let us tell you why UP42 is a good choice:
  </strong>
 </p>
 <ul>
  <li>
   Let's disrupt the industry: You get the chance to shape the state-of-the-art geospatial processing platform and create a completely new planetary perspective.
  </li>
  <li>
   Let's stay flexible: We practice a hybrid working model - you can choose when to work from the comfort of your home or join your colleagues in our modern office in the heart of Kreuzberg, or even from a global place of your choice up to 90 days per year.
  </li>
  <li>
   Let's win as a team: We're an inspiring international team working in a fun and productive environment.
  </li>
  <li>
   Let's be fair: We offer a competitive salary package and other perks such as wellbeing initiatives, sponsored fitness subscriptions, educational budget for your personal development and public transportation discount - just to name a few.
  </li>
  <li>
   Let's enjoy the good side of life: Gather in regular team events as well as our global company parties twice a year.
  </li>
  <li>
   Let's think outside of the box: There are challenges and enough space for creativity and taking ownership.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Does this sound like a good next step into your geospatial career? If so, we look forward to receiving your application in English.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our culture is one of belonging, where everyone feels welcome and where differences are celebrated. We seek to recruit the best talent regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background and/or belief&mdash;and strongly encourage people from underrepresented groups to apply. We also value more than the skills and experiences outlined in this job description. Even if you think you only fill 60% of the requirements for this role - we would still like to consider your application.
 </p>
</div>


Senior Cloud Engineer (m/f/x)

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)

Databricks

<div><p>FEQ427R161</p>
<p>At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!</p>
<p><b>The impact you will have:</b></p>
<ul><li><p>Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.</p>
</li><li><p>Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.</p>
</li><li><p>Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.</p>
</li><li><p>Become a Big Data Analytics advisor on aspects of architecture and design.</p>
</li><li><p>Support your customers by authoring reference architectures, how-tos, and demo applications.</p>
</li><li><p>Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.</p>
</li></ul><p><b>What we look for:</b></p>
<ul><li><p>Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.</p>
</li><li><p>Ability to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset.</p>
</li><li><p>Code in a core programming language such as Python, Java, or Scala.</p>
</li><li><p>Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.</p>
</li><li><p>Experience diving deeper into solution architecture and design.</p>
</li></ul><div><p><b>About Databricks</b></p>
<p>Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
<br>
<br>
<b>Benefits
</b><br>
<br>
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.<br>
<br>
<br>
</p><p><b>Our Commitment to Diversity and Inclusion</b></p>
<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>
<p><b>Compliance</b></p>
<p><b>If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</b></p></div></div>

Sr. Solutions Engineer

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)

Forto

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 What if your work could drive change in a globally established industry, shaping processes that touch every corner of the world? At Forto, we are at the forefront of change, harnessing the power of AI to revolutionise logistics. We want to reinvent digital supply chains to be transparent, frictionless and sustainable. From day one, our mission has been to simplify global trade &ndash; creating a seamless and efficient logistics process.
 <br/>
 <br/>
 <strong>
  Your role &amp; Mission
  <br/>
  <br/>
 </strong>
 The Site Reliability Engineering team at Forto is responsible for reliability and developer experience. We enable our development teams to write complex business logic by providing best-in-class tooling and infrastructure.
 <br/>
 <br/>
 We have a production environment based on GCP, Kubernetes, Terraform, and Helm. On top of that, we have self-service tooling written in TypeScript. &ldquo;You build it, you run it&rdquo; &ndash; our job is to make that real.
 <br/>
 <br/>
 This is a high-ownership role on a lean team that directly shapes how 70+ engineers build and ship software. If you care about platform quality and want your work felt immediately across an engineering org, this is a great match for you.
 <br/>
 <br/>
 <strong>
  What You Will Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build out our runtime platform as a self-service product that enables our engineering teams to write code, run workloads, and drive engineering culture forward.
  </li>
  <li>
   Bring software development skills and practices into platform engineering, such as code quality, domain-driven design, and test-driven development.
  </li>
  <li>
   Own the developer portal and internal platform roadmap, including leading this year&rsquo;s overhaul of our CI/CD pipelines in collaboration with all product teams.
  </li>
  <li>
   Ensure site reliability by building observability solutions, deployment, and disaster recovery capabilities.
  </li>
  <li>
   Own reliability standards end-to-end through SLOs and error budgets &mdash; shaping how teams balance velocity and risk.
  </li>
  <li>
   Drive infrastructure cost optimisation across Kubernetes, MongoDB, and Datadog at scale.
  </li>
  <li>
   Improve our security posture through tooling, compliance work, and partnership with security stakeholders.
  </li>
  <li>
   Work closely with the entire Engineering function as a steward of platform architecture &mdash; embracing new technologies and cleaning up old ones.
  </li>
  <li>
   Improve developer productivity by working with engineers on platform services and developer tooling.
  </li>
  <li>
   Serve as a second line of defense for incidents and be the secondary on-call for our developers.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills And Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years in backend or infrastructure engineering, with at least 2 years in an SRE or platform engineering role.
  </li>
  <li>
   Hands-on experience with GCP/AWS, Kubernetes, Terraform, and Helm in a production environment.
  </li>
  <li>
   Strong software development background &mdash; building frameworks, internal tooling, and infrastructure.
  </li>
  <li>
   Experience with an observability platform (Datadog or equivalent) at scale &mdash; not just dashboards, but alerting strategy, cost management, and SLO instrumentation.
  </li>
  <li>
   Experience defining and operating SLOs and error budgets as a reliability mechanism, not just as metrics.
  </li>
  <li>
   Solid understanding of Infrastructure as Code (IaC) and a GitOps-first mindset.
  </li>
  <li>
   Proven track record designing, developing, and troubleshooting complex distributed systems.
   <br/>
   <br/>
  </li>
 </ul>
 Don&rsquo;t fit all of our criteria? That&rsquo;s okay! We know that you might be hesitant to apply if you don&rsquo;t meet all our requirements, but here at Forto, we pride ourselves on embracing diverse perspectives and celebrating potential. If you are passionate about this position and the Forto values, please apply anyway. There could be a place for you in this role &ndash; or another one that&rsquo;s a perfect fit!
 <br/>
 <br/>
 <strong>
  Why work with us?
  <br/>
  <br/>
 </strong>
 Our team is hard-working, constantly seeking to maximise the impact of their work, but we put our people first, always winning with care. We value efficient systems and swift, direct communication. We want everyone to have their time to speak, so that we can embrace diverse perspectives to help drive towards solutions always.
</div>


Senior Site Reliability Engineer

Corning

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<br><br>
<b>Date:</b> Jun 19, 2026
<br><br>
<b>Location:</b> Berlin, DE, 12489
<br><br>
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<br><br>
<b>Company:</b> Corning
<br><br>
<b>Requisition Number:</b> 75855
<br><br>
The company built on breakthroughs.
<br>Join us.
<br><br>
Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.
<br><br>
How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward.
<br><br>
At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.
<br><br>
Come break through with us.
<br><br>
Our Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions across the broader communications industry.This segment is classified into two main product groupings – carrier network and enterprise network. The carrier network product group consists primarily of products and solutions for optical-based communications infrastructure for services such as video, data and voice communications. The enterprise network product group consists primarily of optical-based communication networks sold to businesses, governments and individuals for their own use.
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For our TechCenter in Berlin-Adlershof, Germany, we are looking for a
<br><br>
Senior Systems Engineer, Co-Packaged Optics (m/f/d)
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Role Purpose
<br><br>
The Senior Systems Engineer, Co-Packaged Optics is responsible for working directly with our customers and ecosystem partners to understand their product challenges, create system-level solutions, translate those solutions into product requirements, and drive design-in of Corning's Co-Packaged Optics (CPO) products. The role combines deep technical expertise in semiconductor manufacturing and photonic connectivity with a strong customer-facing orientation, serving as the technical interface between Corning R&D, program management and the business team to shape the future of AI infrastructure in hyperscale data centers.
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This is a highly visible role that combines deep systems expertise with strong communication skills to guide our customers from early architecture discussions through design-in and qualification to serial production, bridging internal engineering teams and our customers to solve deployment challenges and influencing the CPO roadmap based on direct customer insight.
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Key Responsibilities
<br>Serve as a primary technical point of contact for strategic customers and ecosystem partners throughout the CPO product lifecycle - from early architecture discussions through design-in, qualification, and deployment
<br>Lead product and system ideation with our customers and partners, with the goal of addressing identified needs through differentiated product offerings
<br>Translate customer requirements into internal product specifications, ensuring alignment between external needs and Corning's R&D and product development capabilities.
<br>Conduct feasibility studies and develop initial design concepts to be transferred to R&D
<br>Establish ongoing and trusting relationships with technical counterparts amongst our primary customers and partners within the CPO ecosystem.
<br>Develop a deep understanding of customer applications, the systems in which they operate, and how Corning products function in these applications.
<br>Lead technical deep-dive sessions, architecture workshops, and design reviews with customer engineering teams, including hyperscaler network architects and ASIC/platform engineers.
<br>Perform system level thermo-mechanical simulations to provide design recommendations
<br>Deliver compelling technical presentations, demos, and proof-of-concept (PoC) engagements
<br>Participate in mapping out market trends and technology roadmaps, identifying key gaps and recommendations in terms of both technology capabilities and new products.
<br>In close collaboration with PLM and Marketing, help refine Corning's value proposition in the context of a deep understanding of the applications and use cases of our CPO solutions
<br>Collaborate with ASIC partners, packaging houses, laser vendors, and connector suppliers as well as hardware providers to build understanding of next generation requirements
<br>Act as the voice of the customer inside Corning, driving requirement clarity, feature prioritization, and responsiveness to field feedback.
<br>Establish ongoing and trusting relationships with technical counterparts amongst our primary customers and partners within the CPO ecosystem.
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Experiences/Education - Required
<br>Master's or Doctorate Degree in Physics, Electrical, Optical or Mechanical Engineering, or equivalent fields.
<br>7+ years of experience in an applications, systems, or product development function, with meaningful time in a customer-facing technical role (Systems Engineer, Applications Engineer, Scientist, or Solutions Architect).
<br>Participation in complex projects and contribution to multi-functional teams in a fast-paced competitive environment.
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Required Skills
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<b>Deep understanding of one or more of the following:</b> optics, glass as a material, optical fiber and communications, Silicon Photonics, semiconductor packaging, semiconductor metrology, electronic hardware design and manufacturing.
<br>Ease with frequent customer engagements at a technical level, with the ability to comprehend technical needs and convey effective value propositions.
<br>Ability to collaborate across functional and geographical boundaries to solve problems and develop solutions.
<br>Conceptualize complex specification and application requirements and articulate to internal/external stakeholders to initiate new product development or implement product changes.
<br>Mobilize and influence people within and outside the organization to meet objectives.
<br>Garner trust and lead collaborative work efforts, both internally and externally, across multiple time zones.
<br><br>
Desired Skills
<br>Work experience in PLM, Manufacturing, Systems Engineering, and/or Product Development in a fast-paced OEM context.
<br>+3 years of industrial experience.
<br>Systems-level knowledge of CPO architectures, including photonic engines, external laser sources (ELS/ELSFP), fiber attach, ASIC integration and advanced packaging.
<br>Direct experience deploying CPO, NPO, LPO, or advanced pluggable optics in production or pre-production environments.
<br>Familiarity with AI/ML fabric architectures (scale-up / scale-out), including GPU/XPU cluster designs and optical I/O requirements.
<br>Fluent English, verbally and written.
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A job that shapes a life.
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Corning offers you the total package.
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Your well-being is our top priority. Our Compensation & Benefits package supports your health and well-being, your financial goals, and your career—from day one.
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Company-wide bonuses and long-term incentive programs are linked to key business results, ensuring you're rewarded when the company succeeds. When Corning wins, we all win.
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Our health and well-being benefits include company-funded retirement plan, paid leave, and an Employee Assistance Program (EAP) to support you and your family.
<br>Getting paid for our work is important, but feeling valued and recognized motivates us even more. That's why Corning offers a recognition program to celebrate achievements and recognize colleagues who deliver exceptional performance.
<br><br>
Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at accommodations@corning.com.
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Senior Systems Engineer, Co-Packaged Optics (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>
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Application Security Engineer (m/w/d)

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