Key skills
Cloud providersKubernetesInfrastructure as CodeScaling CI/CD systemsBackend engineeringPeople leadershipStakeholder leadershipTechnical product managementAI-native transformationPythonAIAWSGCPTerraformGitHub ActionsArgoCDGitHubCI/CDLeadershipProduct Management
About this role
Camunda is the leader in enterprise agentic automation, orchestrating complex business processes. The Engineering Manager will guide a remote team of infrastructure engineers to build a scalable zero-toil platform, ensuring continuous delivery and improvement of the infrastructure.
Responsibilities:
- Ensure we continuously deliver and improve our infrastructure platform
- Guide the team through massive reduction of manual work through employing an AI-driven engineering approach. You will reach a zero-touch scalable infrastructure, where AI handles dependency management, assists with incident resolution, cloud cost optimization, and developer support - ensuring the team can handle increasing scope and scale without having to grow in size
- Quality surge: You will prepare, define and ensure execution of the strategy for our CI/CD and artifact distribution systems to scale without increasing engineering toil
- Grow, mentor and coach a high-leverage platform team of 4 Infrastructure engineers, by setting clear expectations, giving actionable and timely feedback, and fostering a culture of empathy, autonomy, and continuous improvement, in an asynchronous, remote environment
Requirements:
- Ability and/or willingness to use our product
- People leadership experience: track record of growing engineers to senior and beyond senior levels
- Strong stakeholder leadership: Ability to translate tech needs into actionable engineering roadmap and strategy, and implement that across teams
- Senior-level technical depth and competency: Hands-on experience with: Cloud providers (e.g., GCP, AWS or similar), Kubernetes (any distribution), Infrastructure as Code (e.g., Terraform, ArgoCD or similar), Scaling high-load CI/CD systems (e.g., GitHub Actions with self-hosted runners or similar)
- Backend engineering background, fluent in at least one programming language (e.g. Python)
- Comfortable at reviewing complex architecture and code; eager to contribute hands-on when needed (e.g. to implement internal workflow automations)
- Proven track record of ensuring team efficiency within remote, async-first environments
- Experience transforming teams into AI-native and/or automation-first teams
- Background in technical product management or strong product thinking
- Experience implementing FinOps practices and accountability