backend software engineer // ai music video platform

(junior) cloud site reliability engineer (network) (m/f/x)

(junior) full-stack software engineer - supply chain management applications (m/f/d)

(senior) cloud engineer / linux-spezialist (m/w/d)

ai engineer (m/f/d)

full stack engineer

backend software engineer // ai music video platform Jobs in Berlin

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cloud engineer (all genders)

cloud engineer - banking platform Jobs in Berlin

cloud engineer - banking platform

platform engineer

Zauber

<div>Referral bonus: If you know someone exceptional feel free to connect us via LinkedIn (Dennis Agidigbi), if we end up hiring them for a full-time role, you'll receive 10,000&euro;.
About Zauber
After co-founding and scaling Forto to over $600M in funding, I took a step back to reflect on what&rsquo;s still broken in global logistics. The answer was clear: it&rsquo;s still a human-first, spreadsheet-heavy industry, full of repetitive processes and broken system interoperability.
With the rise of AI agents, we now have the tools to rethink that from the ground up. Zauber builds autonomous agents for the global logistics industry, AI workers that handle operational tasks, talk to systems and humans alike, and get better every day.
We're already live with global logistics leaders in Europe and Asia
Backed by P9 - one of Europe's top early-stage funds
Growing fast and hiring exceptional engineers to join early
Now we are looking for an exceptional Platform Engineer to help us define and build the next generation of AI-powered logistics systems.
What You'll Do
You will build the infrastructure that our AI agents run on. We've made pragmatic early tooling choices for speed, and as we scale, some will hold and some won't. We need someone who understands the distributed systems principles underneath modern tooling, and can make the right call on when to keep things simple and when to reach for something heavier. This is a foundational role, and you'll design the systems the rest of the team builds on.<ul><li>Build and operate the runtime infrastructure that powers our AI agents in production, the systems that customers depend on</li><li>Design for concurrency and failure, including queuing, retries, backpressure, and idempotency, so agent workflows stay reliable under real-world load</li><li>Own production reliability: latency budgets, error budgets, capacity planning, and incident response</li><li>Instrument the stack with tracing, structured logging, and alerting so problems surface before users notice them</li><li>Own the deployment pipeline end-to-end: CI/CD, preview and staging environments, and the path from local dev to production</li><li>Build internal tooling and abstractions that let the product team ship faster without worrying about infrastructure</li></ul>
You Might Be a Fit If You...<ul><li>Have experience owning infrastructure end-to-end at a startup, where you picked the tools and lived with the consequences</li><li>Understand distributed systems deeply enough to know what managed platforms are doing under the hood, and where their abstractions will break</li><li>Care about developer experience: deployment pipelines, local dev setups, error messages, and the small things that compound into engineering velocity</li><li>Prefer to automate yourself out of toil rather than accept it</li><li>Want to lay the foundation at a company where infrastructure decisions directly shape the product</li></ul>
What You Bring<ul><li>Strong understanding of distributed systems: concurrency, eventual consistency, event-driven architectures, and failure modes. You have the mental models even if you've implemented them with modern serverless tools rather than raw AWS primitives</li><li>Experience with CI/CD design: multi-environment pipelines, automated testing gates, preview deployments, infrastructure-as-code</li><li>Hands-on experience with platforms like Vercel, and an honest sense of where they scale and where they don't</li><li>Familiarity with workflow orchestration tools like Inngest, Temporal, or Step Functions, and the queueing and retry semantics underneath them</li><li>MongoDB experience: schema design tradeoffs, indexing strategy, and performance tuning as data and query patterns evolve</li><li>Strong observability practice, ideally Datadog, including distributed tracing, custom metrics, and SLO-based alerting</li><li>Enough AWS fluency (ECS, Lambda, SQS, IAM) to know what you'd reach for when the managed tools hit their limits</li><li>High-agency mindset and comfort operating independently in a fast-changing environment</li></ul>
Location &amp; Logistics<ul><li>Berlin office preferred, but open for hybrid setups</li><li>Annual offsite (last year we took the team for 4 weeks to San Francisco)</li><li>Start: As soon as possible</li></ul>
What We Offer<ul><li>Top-of-market compensation and meaningful early equity</li><li>Direct access to real users and fast feedback loops</li><li>A highly experienced team with full trust and autonomy</li><li>The opportunity to shape the foundations of a company and product from day one</li><li>A mission that matters: building intelligent systems to power the future of global trade</li></ul>
Why Now
We&rsquo;re not a demo company. We&rsquo;re in production with real customers, in one of the world&rsquo;s most critical and complex industries. Demand is not our bottleneck, execution is. This is your chance to join extremely early, shape the company, and build what will become the core infrastructure for global logistics automation.
We envision a world where every shipment is proactively managed by intelligent agents. Where operators have superhuman capabilities at their fingertips and trade never stalls.
Building from Europe
What drives us personally is the belief that Europe&rsquo;s long-term prosperity and sovereignty depend on a strong economic engine. We need more AI product-first European global champions on the world stage.
Our mission is to build one of the biggest automation companies in the world - from Europe. While our HQ will be in Europe, we will relentlessly benchmark ourselves with the best globally and sell internationally from the beginning.</div><div></div>

Platform Engineer

Ashby

Staff Platform Engineer, EU

Thales

<div>Location: Berlin, Germany
We Say HI*
Senior Platform Engineer GCP (w/m/d)
Thales ist ein weltweit f&uuml;hrender Anbieter von Spitzentechnologien f&uuml;r die Bereiche Verteidigung, Luft- und Raumfahrt sowie Cyber Security und Digital Identity.
Deutsche Unternehmen und die &ouml;ffentlichen Verwaltungen hierzulande sind bereit, ihre digitale Transformation und den Einsatz von KI zu beschleunigen &ndash; aber sie werden niemals Kompromisse bei der Sicherheit ihrer sensibelsten Daten eingehen. Genau hier setzen wir als Thales Deutschland in Partnerschaft mit Google Cloud und unserem neuen, in Gr&uuml;ndung befindlichen Unternehmen an. Mit einer neuen, zu 100 % deutschen Unternehmenseinheit geben wir eine konkrete Antwort auf die strengen Anforderungen des BSI. Was wir hier schaffen, ist eine lokal und vollst&auml;ndig autonom betriebene &sbquo;Trusted Cloud&lsquo;. Sie erm&ouml;glicht den Zugriff auf das breiteste Service-Portfolio am Markt, w&auml;hrend alles strikt unter europ&auml;ischer Gerichtsbarkeit bleibt. Durch die Zusammenf&uuml;hrung deutscher und franz&ouml;sischer Standards wie SecNumCloud, C5 und C3-A bieten wir unseren Kunden eine beispiellose Resilienz und Business Continuity. Dies ist ein Wendepunkt f&uuml;r unsere Branche und ein entscheidender Schritt hin zu einem starken, souver&auml;nen digitalen Europa.
Ihre Mission als Senior Platform Engineer GCP:<ul><li>
Betrieb und Weiterentwicklung hochverf&uuml;gbarer souver&auml;ner GCP-Services mit Fokus auf Stabilit&auml;t, Skalierbarkeit und Performance</li><li>
&Uuml;berwachung von SLI/SLO-Kennzahlen sowie Analyse und Behebung von Produktionsst&ouml;rungen im 24x7-Betrieb inklusive Teilnahme an einer Rufbereitschaft</li><li>
Zusammenarbeit mit globalen SRE- und GCP-Expertenteams zur schnellen Incident-Analyse, Fehlerbehebung und nachhaltigen Service-Optimierung</li><li>
Dokumentation von Betriebswissen, Standardisierung von Prozessen sowie Weiterentwicklung von Automatisierungs- und Operational-Playbooks</li><li>
Durchf&uuml;hrung von Post-Mortem-Analysen nach Incidents zur Identifikation von Verbesserungspotenzialen und F&ouml;rderung einer kontinuierlichen Optimierung der Systemlandschaft</li></ul>
Darauf freuen wir uns:<ul><li>
Erfolgreich abgeschlossenes Studium der Informatik, Ingenieurwissenschaften oder ein vergleichbarer Masterabschluss</li><li>
Mehrj&auml;hrige Erfahrung im Bereich Site Reliability Engineering (SRE) sowie in der Automatisierung von Betriebs- und Incident-Management-Prozessen</li><li>
Kenntnisse in regulierten Branchen mit hohen Compliance-Anforderungen, z.B. Banking, Versicherungen, Healthcare oder vergleichbaren Umfeldern mit hohen Compliance-Anforderungen</li><li>
Erfahrung in internationalen Arbeitsumgebungen sowie sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift</li><li>
Erfahrungen mit Google Cloud Platform (GCP) sowie eine hohe Lernbereitschaft und Begeisterung f&uuml;r moderne Cloud-Technologien</li></ul>
Thales investiert j&auml;hrlich mehr als 4,5 Milliarden Euro in Forschung und Entwicklung in Schl&uuml;sseltechnologien wie k&uuml;nstliche Intelligenz, Cybersicherheit, Quanten- und Cloud-Technologien.
Im Jahr 2025 erwirtschaftete die Gruppe einen Umsatz von 22,1 Milliarden Euro.
F&uuml;r mehr als 85.000 Mitarbeitende in 65 L&auml;ndern er&ouml;ffnen wir zukunftsweisende Perspektiven, verwirklichen individuelle Karrierewege und erm&ouml;glichen kreative Freir&auml;ume. Dies gelingt durch Mut, Vielfalt und den festen Willen, die anspruchsvollen Herausforderungen unserer Zeit sicherer und inklusiver zu gestalten. Mit unserer nachhaltigen, werteorientierten Personalf&uuml;hrung treten wir aktiv f&uuml;r Diversit&auml;t ein.
Say HI* &ndash; Ihr Weg zu uns
Wenn die Zeichen der Zeit auf Ver&auml;nderung stehen, sind unsere internationalen Teams da, um der Komplexit&auml;t von heute mit den branchenf&uuml;hrenden Technologien von morgen zu begegnen. Sind Sie dabei? Ihr Ansprechpartner Andre Fuhrmann freut sich schon auf Ihre Online-Bewerbung.
Andre Fuhrmann &ndash; Talent Acquisition Partner
+49 7156 / 302 - 22002<ul><li>Human Intelligence</li></ul>
#LI-AF1
#LI-HYBRID</div>

Senior Platform Engineer (m/f/d)

Saas.group

<div>This role is part of our INFOnline team, one of our exciting brands at saas.group.

INFOnline powers digital audience measurement for the German and Austrian media industry. Our systems process billions of events and deliver the trusted reach and engagement metrics used by publishers, advertisers, agencies, IVW and OEWA.

As part of saas.group, we have been modernizing our business-critical infrastructure and moving towards a fully cloud-native architecture on GCP. The major migration work is complete. Now we are looking for a strong technical owner to run, harden, scale and evolve the new platform.
<h3 class="jobSectionHeader">
Profile Overview</h3>

We're looking for a technically deep, hands-on Lead Data Platform Engineer to take full ownership of INFOnline's central data platform from raw event ingress through processing, aggregation, data modeling and reporting delivery.

You will take ownership of a newly built GCP-native data platform as it moves from completed migration into long-term production operation, optimization and continuous evolution.

This is not a role where you simply follow someone else's roadmap. You will help define how the platform should mature: where we need stronger observability, better data quality controls, clearer ownership boundaries, improved documentation, cost efficiency and more scalable operating models.

This is a hands-on technical leadership role. You will set technical direction, make architecture decisions, establish engineering standards, mentor others and still work close to the code and systems.

On top of that, you will help drive AI-native engineering practices using coding agents, AI-assisted testing, documentation, refactoring and incident analysis to increase engineering speed and quality.
<h3 class="jobSectionHeader">
Your immediate impact in the first 3-6 months will be:</h3>
<ul><li>Audit and map the existing cloud and data platform architecture identify critical risks, dependencies, and improvement opportunities</li>
<li>Take ownership of core platform components from data ingress to reporting, supported by structured knowledge transfer where needed</li>
<li>Establish full internal ownership of the new cloud-native data platform</li>
<li>Improve data quality controls, validation processes and operational safeguards</li>
<li>Build a pragmatic post-migration roadmap focused on stability, scalability, data quality, cost efficiency and business continuity</li>
<li>Strengthen monitoring, alerting, and observability for business-critical data workflows and IVW/OEWA delivery pipelines</li>
<li>Establish engineering standards around documentation, code reviews, testing and AI-native development practices</li>
</ul><h3 class="jobSectionHeader">Your responsibilities</h3>
<ul><li>Own the end-to-end data platform roadmap and drive its execution from architecture decisions to day-to-day platform operations</li>
<li>Take accountability for data ingress, streaming processing, batch aggregation, data modeling, quality, delivery and reporting logic</li>
<li>Ensure reliability, scalability and performance through strong monitoring, observability and incident management practices</li>
<li>Continuously improve the new GCP-native platform with a focus on stability, cost efficiency, maintainability and business continuity</li>
<li>Collaborate closely with Product, Customer Success and Leadership to translate business requirements into scalable technical solutions</li>
<li>Drive AI-native engineering adoption, including AI-assisted coding, refactoring, testing, documentation and code reviews and establish standards for safe, effective use</li>
<li>Work with external specialists where useful and establish sustainable internal ownership of all critical platform components</li>
</ul><h3 class="jobSectionHeader">What You bring to the table</h3>
<ul><li>5+ years of experience in Data Engineering, Data Platform Engineering, or Platform Engineering in production environments</li>
<li>Solid Go (Golang) proficiency is required. Our core backend systems, including ingress collectors, Pub/Sub processors, Dataflow jobs, batch loaders, controllers and CLI tools are written in Go.</li>
<li>Strong hands-on experience with GCP Cloud Run, Pub/Sub, BigQuery, Dataflow, Cloud Storage, Cloud SQL</li>
<li>Strong SQL and analytical data modeling skills; familiarity with SQLMesh (or similar dbt-style orchestration tools) is a significant plus</li>
<li>Practical experience with Terraform / IaC, CI/CD pipelines, and containerized workloads (Docker; Cloud Run-style serverless, not cluster Kubernetes)</li>
<li>Experience with Protobuf or comparable schema definition and serialization frameworks</li>
<li>Familiarity with IVW, OEWA or comparable digital audience measurement standards or a genuine interest in the web analytics domain and the ability to ramp quickly</li>
<li>Experience with AI coding assistants and coding agents (Claude Code, Codex, or similar) and sound judgment in reviewing AI-generated code for quality, security, and operational risk</li>
<li>Excellent communication skills with both technical and non-technical stakeholders</li>
<li>Fluent German (C1) required; good English for technical documentation and saas.group collaboration</li>
</ul><h3 class="jobSectionHeader">What's in it for You</h3>
<ul><li>Ultimate flexibility: We're 100% remote. You can work from wherever you like, whenever you like.</li>
<li>Freedom and autonomy: We're a high-trust team, and you'll be given lots of flexibility to solve problems in your own way, with plenty of help from the team when you need it.</li>
<li>Minimum bureaucracy: We don't like to get bogged down with meetings and red tape. We like to be efficient and keep momentum steady &amp; sustainable.</li>
<li>Small &amp; friendly team: We help each other out, have fun, and joke around.</li>
<li>Our network: We are a community of entrepreneurial SaaS professionals that regularly exchange ideas, knowledge, learning and expertise with each other internally.</li>
</ul>
INFOnline is part of saas.group and we have a shared goal of succeeding together.<div>
&mdash;

saas.group is committed to creating a diverse and inclusive workplace. We are proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you're passionate about working with a team that values innovation, excellence, and fairness, we encourage you to apply.

We believe in fair and transparent pay. Salary ranges at saas.group are location-adjusted, targeting local market medians for a remote-first environment, and will be shared with our potential future employees in writing before your first interview - so you have everything you need to evaluate the opportunity.</div></div>

Lead Data Platform Engineer (German Speaker)

ALMETRA

<div>Platform Engineer
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.
What you'll do<ul><li>
Design and maintain cloud infrastructure on AWS using Terraform</li><li>
Own and improve CI/CD pipelines for fast, safe deployments</li><li>
Manage and scale Kubernetes clusters</li><li>
Improve developer experience &mdash; making it easy for teams to ship and debug</li><li>
Implement monitoring, logging and alerting for full observability</li><li>
Configure and optimise CDN infrastructure</li></ul>
You are<ul><li>
8-10 years of experience in DevOps, SRE or platform engineering roles</li><li>
Expertise in AWS</li><li>
Proficient with Terraform and infrastructure-as-code workflows</li><li>
Experienced in building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins or similar)</li><li>
Solid understanding of Kubernetes &mdash; deployment, networking, scaling and troubleshooting</li><li>
Strong sysadmin fundamentals &mdash; Linux, networking, storage and configuration management</li><li>
Comfortable working with relational databases (PostgreSQL, MySQL) and time series databases (TimescaleDB, Prometheus)</li><li>
A clear communicator who works well across engineering and data science teams</li><li>
Pragmatic and reliable &mdash; you know when to move fast and when to be careful</li></ul>
Nice to have<ul><li>
Experience supporting ML infrastructure &mdash; model deployment, GPU workloads or training pipelines</li><li>
Background in CDN configuration (CloudFront, Fastly, Cloudflare)</li><li>
Familiarity with streaming data or video processing systems</li><li>
Interest in MLOps and bridging the gap between ML research and production</li></ul>
Why this role matters
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.
#LI-SP1 #LI-Hybrid
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software 
 
Don't meet all the requirements?
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.<ul><li> 
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.</li></ul>
Compensation Range: &euro;70K - &euro;85K</div>

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

Eterno

<div>️ Your mission 
AWS Serverless | Lambda | API Gateway | DynamoDB | CDK | SAM | GitHub Actions | CloudWatch | IAM | S3 | SQS | SNS | Step Functions | WAF | IaC
We build ETERNO Cloud, the operating system for modern medical practices. It brings patient access, communication, documentation, billing, analytics, and daily practice operations into one cloud SaaS platform. The product is serverless, regulated, GDPR-compliant, and ISO-certified, so engineering quality is part of the product.
You are a key driver for our cloud platform, making product delivery faster, safer, and easier. Infrastructure should not be the bottleneck. It should help engineers ship confidently, operate reliably, and keep the system secure as we grow.
&zwj;️ What you shape and run<ul><li>
Serverless infrastructure that scales without manual work</li><li>
Platform foundations for product teams working with AWS serverless services</li><li>
Pipelines and release processes that stay fast, safe, and understandable</li><li>
Observability that makes problems obvious before they become bigger issues</li><li>
Incident handling from first alert to root cause fix</li><li>
Security, reliability, and cost improvements across the cloud platform</li><li>
Infrastructure as code that keeps environments reproducible, reviewable, and easy to change</li><li>
AI-enabled development workflows that improve speed and quality while keeping engineering judgment, ownership, and review standards high</li></ul>
️ What you care about<ul><li>
Product delivery that is fast without becoming fragile</li><li>
Long-term stability over short-term fixes</li><li>
Security, privacy, reliability, and maintainability as everyday engineering concerns</li><li>
Reducing complexity instead of moving it somewhere else</li><li>
Automation as the default, not an afterthought</li><li>
Clear ownership, direct collaboration, and high engineering standards</li></ul>
️ What to expect at ETERNO<ul><li>
Make a real impact &ndash; Help us transform healthcare with bold, hands-on solutions for real challenges. Your contribution counts from day one &ndash; with responsibility, speed, and room for your own ideas.</li><li>
Your workspace &ndash; Take advantage of our hybrid model: You&rsquo;ll spend 2 days a week at our office in Berlin to collaborate with your team, and the rest of the time you&rsquo;ll work flexibly from home.</li><li>
Level up &amp; grow &ndash; Join an ambitious team that challenges and supports you. Whether leadership or deep dive: develop both professionally and personally through regular feedback, open exchange, and language courses in German &amp; English.</li><li>
Feel good, stay healthy &ndash; Access the ETERNO Spaces for quick doctor visits &amp; health check-ups. For more movement in your day: lease a JobRad &ndash; tax-advantaged and eco-friendly.</li><li>
We&rsquo;ve got you covered &ndash; Competitive salary, company pension with a 20% top-up, and a monthly budget for benefits like Urban Sports Club, vouchers, or public transport &ndash; plus attractive corporate benefits &amp; our Refer-a-Friend bonus.</li><li>
Stay connected &ndash; Meet driven, inspiring people. Whether Monthly All-Hands, team offsites, or spontaneous office vibes &ndash; we celebrate success together and push each other as a team.</li></ul>
What we want to highlight 
At ETERNO, we promote equal opportunities and diversity. We are committed to creating a diverse and inclusive environment for every one of us. We reject any form of discrimination based on ethnicity, skin color, physical or mental disability, religion, marital status, age, national origin, ancestry, health status, pregnancy, gender, sexual orientation, gender identity, or any other personal characteristics.
If you require any accommodations during the application process, please contact us in advance at careers@eterno.health. We are happy to support you.
#LI-Hybrid</div>

Senior Cloud Platform Engineer, AWS Serverless

D-Trust GmbH

<div>Zum n&auml;chstm&ouml;glichen Zeitpunkt suchen wir Sie als (Senior) DevOps Engineer - Platform Services f&uuml;r den Standort Berlin.
Ihr Aufgabenbereich
<ul><li>Aufbau, Weiterentwicklung und Betrieb einer zentralen Multi-Tenant-Plattform auf Basis eines Shared Enterprise Kubernetes Clusters</li><li>
Verantwortung f&uuml;r den Betrieb und die Optimierung zentraler Plattformkomponenten wie Kubernetes, Ceph, RabbitMQ, Istio sowie Logging- und Monitoring-L&ouml;sungen</li><li>
Entwicklung und Pflege von Kubernetes-Operatoren sowie weiterer Automatisierungsl&ouml;sungen in Golang</li><li>
Sicherstellung eines hochautomatisierten Plattformbetriebs durch Infrastructure as Code und GitOps-Prinzipien</li><li>
Evaluierung neuer Technologien und kontinuierliche Weiterentwicklung der Plattformarchitektur</li><li>
Erstellung und Pflege technischer Dokumentationen sowie Definition von Best Practices</li><li>
F&ouml;rderung des abteilungs&uuml;bergreifenden Wissensaustauschs und Unterst&uuml;tzung von Fachbereichen bei der Nutzung der Plattform</li></ul>
Ihr Profil
<ul><li>Abgeschlossenes Studium der Informatik, eine IT-Ausbildung oder eine vergleichbare Qualifikation</li><li>
Mehrj&auml;hrige Erfahrung im Aufbau, Betrieb und der Administration von Enterprise-Kubernetes-Clustern</li><li>
Fundierte Kenntnisse in Infrastructure as Code und Automatisierung mit Terraform, Ansible sowie CI/CD- und GitOps-Methoden</li><li>
Erfahrung im Bereich Observability, insbesondere mit Metriken, Logging und Tracing sowie Kenntnisse im Bereich Confidential Containers sind von Vorteil</li><li>
Praxiserfahrung mit virtuellen und Bare-Metal-Infrastrukturen sowie Container-Storage-L&ouml;sungen, idealerweise Ceph</li><li>
Gute Programmier- bzw. Skriptingkenntnisse in Python, Golang oder Bash sowie sehr gute Netzwerkkenntnisse (Routing, NAT, Firewalls, VLANs)</li><li>
ausgepr&auml;gte Kommunikationskenntnisse auf Deutsch- und Englisch, mindestens B2-Niveau</li></ul></div>

(Senior) DevOps Engineer - Platform Services (m/w/d)

Explore 91+ Platform engineer in Berlin this July. Find roles across top companies and apply now to boost your career.