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infrastructure engineer

Thales

<div>Location: Berlin, Germany
We Say HI*
IT Infrastructure Operations Engineer (m/w/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 IT Infrastructure Operations Engineer (m/w/d) :<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>

IT Infrastructure Operations Engineer (m/w/d)

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

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)

Ashby

Staff Platform Engineer, EU

Talon.One LinkedIn Jobs

<div><div>ABOUT TALON.ONE: 


Talon.One is the most powerful incentives engine that unifies loyalty, promotions and gamification into one holistic platform. Backed by enterprise-grade security and scalability, Talon.One empowers companies to build personalized, profitable promotions and loyalty programs using any data.

Today, over 250 of the world's most-loved brands including Adidas, Sephora and Carlsberg work with Talon.One to drive deeper engagement and lasting loyalty with their customers.</div> 


ABOUT THE TEAM:

We're a passionate team, consisting of a Head of Data, a Data Engineer, an Analytics Engineer and a Senior Data Analyst dedicated to all things data. You'll be at the centre of our expanding Data team. We're enthusiastic about exploring new tools and technologies, and we thrive on brainstorming to solve challenges and apply best practices. Our team is set to grow soon, welcoming Data Engineers, Analytics Engineers, Analysts, and Data Scientists, all playing a pivotal role in Talon.One's development.

ABOUT THE ROLE:

As a Senior Data Engineer / Data Ops, you will be responsible for all engineering tasks related to the data infrastructure, data ingestion and DWH pipelines. You will own our data ingestion workflows (currently based on a Kafka stream) and will make sure that the data from our PostgresDB instances with a very high amount of data is ingested live into BigQuery. Besides, you will manage our overall data platform infrastructure, recommend improvement and make sure to always follow best practices. Finally, you will also of course be involved in the Data Engineering pipelines, assisting in the modelling of various data sources helping literally all departments within the company making better decisions. 


ONCE YOU ARE HERE YOU WILL: 

<ul>
<li>Own the data ingestion streams for all of our client's DBs, from Postgres to BigQuery</li>
<li>Own the overall data infrastructure: set up, maintain and improve our stack with new technologies for more efficiency and best practices. E.g. improve orchestration</li>
<li>Write DWH pipelines and improve our overall DWH code to apply best practices and bring more efficiency.</li>
<li>Be part of a data team composed of various profiles, be at the center of all infrastructure decisions and work closely with other stakeholders from the R&amp;D department, especially the DevOps team.</li>
</ul>
WHAT WE NEED YOU TO BRING TO THE TABLE:
<ul>
<li>3 -5 years of experience in the Data Engineering / Data Ops field, ideally working on some big data warehouse projects.</li>
<li>You are familiar with the modern data stack and are able to recommend, set up and maintain all different kinds of components from Data ingestion to automation.</li>
<li>You have experience with a wide range of tools and technologies within the modern data stack: Kafka, Airflow, Dagster, DBT Core, BigQuery, Lambda functions etc..</li>
<li>You have experience with general infrastructure / DevOps management technologies: ArgoCD, Kubernetes, Docker, Github, Postgres, GCP etc..</li>
<li>You always thrive for applying data engineering best practices: consistency checks, testing data reliability, monitoring on top of ingestion pipelines, no double business logic in the code.</li></ul> 


ABOUT TECHNOLOGY:
<ul>
<li>Kubernetes running on Google Cloud, ArgoCD, Terraform</li>
<li>PostgreSQL</li>
<li>Aiven Kafka Connect, Strimzi, Debezium</li>
<li>DBT cloud, GCP, BigQuery, Fivetran</li>
<li>We use Go for our API, core logic, and internal tooling</li>
<li>Cypress for automated end-to-end testing</li>
<li>Other odds &amp; ends in JavaScript and shell script</li></ul> 

<div>
WHAT'S IN IT FOR YOU:</div>
<ul><li>A Research and Development Department of 90+ of engineers, product managers and product designers in Berlin</li>
<li>Leaders with 8+ years of experience building our promotions engine</li>
<li>&euro;1,000 annual learning budget and free German language courses to boost your skills</li>
<li>30 days of annual leave, plus extra paid days for your birthday and moving day</li>
<li>Home office setup budget, a monthly home office allowance</li>
<li>Freedom to work from abroad for up to 90 days worldwide!</li>
<li>Mental health support with nilo.health and a discounted Urban Sports Club membership</li>
<li>20% company subsidy on your pension contributions</li>
<li>Subsidised BVG public transport ticket and a dog-friendly Berlin office where your furry friend is welcome</li>
<li>Lease your ideal bike through BusinessBike</li></ul></div>

Senior Data Engineer

SWARCO ITS

<div>
 Join our SWARCO Team as
 
 
 
 Senior DevOps Engineer (m/f/d)
 
 
 
 
 Your Challenge
 
 
 
 <ul>
 <li>
 Support the development and project teams in creating a cloud-based platform to unify SWARCO&rsquo;s extensive software solution portfolio
 </li>
 <li>
 Manage and maintain a growing infrastructure of over 50+ Linux servers and Kubernetes clusters across a multi-cloud environment, including AWS, hosting 200+ microservices
 </li>
 <li>
 Work daily with cloud-native technologies such as Kafka, RabbitMQ, PostgreSQL, and MongoDB
 </li>
 <li>
 Assist an agile engineering team of 100+ developers that are building software in various languages, including C#, Java, Node.js, and Python
 </li>
 <li>
 Support a SaaS infrastructure solution that connects over 10,000 traffic devices
 </li>
 <li>
 Build and maintain critical infrastructure utilized daily by tens of millions of users
 </li>
 <li>
 Develop innovative solutions to accelerate on-premise releases
 
 
 </li>
 </ul>
 
 Your Profile
 
 
 
 <ul>
 <li>
 Experience in building and maintaining infrastructure for large IoT and network-edge devices
 </li>
 <li>
 Hands-on experience with federated and distributed monitoring systems and CI/CD tools such as ArgoCD
 </li>
 <li>
 Proficiency in working with technologies like Kubernetes, Docker, Ansible, Terraform, Linux, MongoDB, PostgreSQL, RabbitMQ, and Redis
 </li>
 <li>
 Solid programming skills, including shell scripting and Python
 </li>
 <li>
 Solution-oriented, with a passion for driving projects and topics as a domain expert
 
 
 </li>
 </ul>
 
 Your Benefit
 
 
 
 <ul>
 <li>
 Join a team dedicated to delivering cutting-edge road traffic and urban mobility solutions, improving safety for millions globally
 </li>
 <li>
 Work for an established market leader founded in 1969, with over 5,500 employees and a presence in more than 80 countries
 </li>
 <li>
 Flexible working hours and a hybrid work setup, allowing you to work from home 50% of the time
 </li>
 <li>
 Opportunities for promotion across various areas within our larger organization
 </li>
 <li>
 Job rotation programs available that allow you to work from a different international SWARCO office location for several months
 </li>
 <li>
 A modern office space just a 5-minute walk from the Landsberger Allee S-Bahn station
 </li>
 <li>
 A modern office space just a 10-minute walk from the Main Railway Station in Zagreb (Croation office)
 
 
 </li>
 </ul>
 The future begins today. Yours too?
 
 
 Join SWARCO. We look forward to receiving your detailed application via online form:
 
 
 
 SWARCO CROATIA d.o.o.
 
 
 
 HR department
 
 
 Sprecka 8
 
 
 10000 - Zagreb
 
 
 #ITS
 
 
 
 Information on processing of your personal data is available
 
 https://www.swarco.com/privacy-information-applicants
 
 .
 
</div>

Senior DevOps Engineer (m/f/d)

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)

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