Platform Engineer (AI Startup)

Deltia
Berlin, Germany
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Berlin, Germany

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Cloud Computing
Configuration Management
Relational Databases
Software Debugging
Linux
DevOps
Github
PostgreSQL
MySQL
Prometheus
Video Editing
Data Logging
Time Series Databases
Sysadmin
Gitlab-ci
Kubernetes
Cloudflare
Machine Learning Operations
Terraform
Jenkins

Job description

  • Design and maintain cloud infrastructure on AWS using Terraform
  • Own and improve CI/CD pipelines for fast, safe deployments
  • Manage and scale Kubernetes clusters
  • Improve developer experience - making it easy for teams to ship and debug
  • Implement monitoring, logging and alerting for full observability
  • Configure and optimise CDN infrastructure
  • Support ML workloads in production alongside our data science team

Requirements

Do you have experience in Terraform?, * 4-6 years of experience in DevOps, SRE or platform engineering roles

  • Expertise in AWS
  • Proficient with Terraform and infrastructure-as-code workflows
  • Experienced in building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins or similar)
  • Solid understanding of Kubernetes - deployment, networking, scaling and troubleshooting
  • Strong sysadmin fundamentals - Linux, networking, storage and configuration management
  • Comfortable working with relational databases (PostgreSQL, MySQL) and time series databases (TimescaleDB, Prometheus)
  • A clear communicator who works well across engineering and data science teams
  • Pragmatic and reliable - you know when to move fast and when to be careful

Nice to have

  • Experience supporting ML infrastructure - model deployment, GPU workloads or training pipelines
  • Background in CDN configuration (CloudFront, Fastly, Cloudflare)
  • Familiarity with streaming data or video processing systems
  • Interest in MLOps and bridging the gap between ML research and production

Benefits & conditions

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

A competitive salary & stock options*

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° feedback, and flexible working hours

Ethics: We are committed to developing ethical AI software

Don't meet all the requirements?

Deltia 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. * 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.

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