Hybrid Platform Engineer – AI Startup

at Deltia

• Job title: Platform Engineer – AI Startup
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Jenkins, Kubernetes, Linux, MySQL, Postgres, Prometheus, Terraform
• Location requirements: Hybrid, Berlin, Germany

About the role

• Platform Engineer managing cloud infrastructure on AWS and supporting ML workloads in production at AI startup. Focus on developer experience and improving CI/CD pipelines.

Responsibilities

• 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

• 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
• Nice to have: Background in CDN configuration (CloudFront, Fastly, Cloudflare)
• Nice to have: Familiarity with streaming data or video processing systems
• Nice to have: Interest in MLOps and bridging the gap between ML research and production

Benefits

• 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