DevOps Engineer

Now were looking for a hands-on DevOps Engineer to own and evolve our delivery chain and runtime platform across multiple products and services. AI is a core part of how we work and youre expected to use modern AI tools daily to accelerate automation debugging incident response and documentation quality.

The role

As a DevOps Engineer youll work hands-on with both platform operations and continuous improvement. You will own the delivery chain and the runtime platform helping us scale reliably while strengthening security observability and deployment confidence. The role is end-to-end and you should be comfortable working independently and taking full ownership of your area.

AI is a core part of how we operate and improve engineering workflows. We expect you to actively leverage modern AI tools in daily DevOps work for automation debugging incident response documentation and runbook quality. You should be confident in using AI to speed up root-cause analysis reduce manual work and improve reliability over time.

You will work on

• Owning and improving CI/CD pipelines in GitLab

• Building and maintaining Kubernetes deployment workflows using GitOps with ArgoCD

• Operating and optimizing containerized workloads across test and production environments

• Monitoring and observability in Grafana including dashboards alerting and SLOs

• Strengthening security around secrets management runtime access and service-to-service communication

• Driving incident readiness troubleshooting and post-incident improvements

• Operational ownership of domains DNS and certificate renewals

• Partnering with engineering teams to improve developer experience and release confidence

Who we think you are

Youve operated enough production systems to know what holds up over time. You take ownership of the bigger picture not just individual tasks and you enjoy environments where reliability security structure and delivery go hand in hand.

We believe you:

• Have strong hands-on experience in DevOps SRE or Platform Engineering

• Have proven production experience with Docker Kubernetes GitLab CI/CD and ArgoCD

• Have strong networking fundamentals and troubleshooting skills

• Are comfortable with secrets and configuration management

• Prefer automation by default and think pragmatically about what to improve next

• Can clearly demonstrate how you use AI tools effectively in your daily workflow

Nice to have:

• Infrastructure as Code and automation tooling (Terraform Ansible or similar)

• Experience operating OpenStack-based environments

• A strong security and compliance mindset in cloud-native environments

• Experience working with AI/LLM-based systems