Senior DevOps Engineer (m/f/d) – Hybrid Infrastructure
Location: Berlin, Germany | Employment: Full-time
Start: As soon as possible

Build the infrastructure behind real-world autonomous driving.

DeepRec is partnering with a German autonomous driving company developing a full Level 4 system for European roads. Combining perception, explainable AI, decision-making and vehicle control, the team is building technology designed to make autonomous mobility safe, understandable and ready for certification.

We’re looking for a Senior DevOps Engineer to develop and operate the hybrid infrastructure supporting its engineering teams, vehicle test data and technical monitoring systems.

The role

You’ll work across on-premises and cloud environments, taking ownership of Kubernetes infrastructure, automation and observability while helping developers resolve practical problems.

A major focus will be preparing the technical monitoring system for 24/7 operation. You’ll also help manage and filter data from vehicle testing and training activities, making it available for analysis and model development.

This is initially a hands-on individual contributor role, with the potential to move into team leadership as the function grows. Participation in a future on-call rota will be part of the role.

What you’ll do

  • Build, maintain and improve hybrid infrastructure spanning on-premises systems and cloud providers.

  • Manage Kubernetes environments, including AWS EKS, and support reliable containerised workloads.

  • Automate infrastructure provisioning and configuration using Terraform and Ansible, alongside improvements to CI/CD pipelines.

  • Support developers with deployment, infrastructure and environment issues, turning recurring problems into lasting improvements.

  • Develop monitoring, logging, metrics and tracing to give engineering teams clear visibility into system health and failures.

  • Prepare the technical monitoring platform for continuous operation, including alerting, troubleshooting and operational readiness.

  • Manage data lake infrastructure and workflows for ingesting, processing and filtering vehicle test and training data.

  • Evaluate cloud, NeoCloud and GPU-as-a-Service providers against workload requirements, reliability and cost.

  • Support secure access management and reliable communication between services.

What you’ll bring

  • At least six years of relevant experience across DevOps, systems administration, cloud infrastructure or platform engineering.

  • Strong hands-on Kubernetes experience, including AWS EKS.

  • Experience operating hybrid environments and understanding the networking and operational challenges between on-premises and cloud systems.

  • Practical knowledge of Terraform, Ansible and infrastructure automation.

  • Experience with AWS, Docker and CI/CD workflows.

  • Hands-on monitoring and alerting experience using Grafana and Prometheus.

  • Strong systems troubleshooting skills and a sound understanding of TCP/IP networking.

  • A collaborative approach to supporting developers, balancing immediate fixes with longer-term platform improvements.

  • A structured working style, curiosity about new technologies and a willingness to learn from experimentation.

  • Professional working proficiency in English; German is a plus.

  • Willingness to participate in on-call support as the platform moves towards 24/7 operation.

A background progressing from systems administration into DevOps would be particularly relevant.

Useful additional experience

  • Kafka for event handling and data streaming.

  • Data lakes and workflows for large volumes of test or training data.

  • Keycloak or Active Directory for identity and access management.

  • Envoy or service mesh technologies for service communication and observability.

  • OpenTelemetry and the Grafana LGTM stack: Loki, Grafana, Tempo and Mimir.

  • NeoCloud providers, GPU-as-a-Service or infrastructure supporting AI workloads.

  • GitHub and Jira.

  • Cloud certifications from AWS, Google Cloud, Azure or other relevant providers.

  • Mentoring engineers or taking on technical leadership responsibilities.

Why join?

You’ll help shape the infrastructure connecting autonomous driving development, vehicle data and operational monitoring. Your work will directly influence how effectively engineers build, test and troubleshoot the technology.

There’s scope to make meaningful platform decisions, explore new infrastructure providers and establish the practices needed for reliable round-the-clock operation. As the team expands, there may also be an opportunity to grow into a leadership position.