Engineering Manager - Infrastructure

Camunda is the enterprise platform for agentic orchestration, enabling organizations to coordinate AI agents, people, and systems across complex, end-to-end business processes. With built-in governance, auditability, and human oversight, Camunda gives enterprises the control they need to move AI from pilots to production — safely and at scale. Trusted by over 700 organizations worldwide, including 9 of top 10 US banks, Camunda helps enterprises boost operational efficiency, accelerate time-to-value, and deliver better customer experiences.

Fully remote and global, we are in the middle of something bigger: transforming into an AI-first organisation, built on our own platform. We use Agentic AI to automate, orchestrate intelligent processes, and elevate human contribution across every team.

Named GP Bullhound’s Top 100 Next Unicorn list, 2025 Great Place to Work certified. Visionary in 2025 Gartner® Magic Quadrant™ for Business Orchestration and Automation Technologies. ranked 3rd in Flexa's 2026 Most Flexible Companies, We’re growing fast and looking for top talent to join our team. If you want meaningful work, visible impact and put something genuinely rare on your CV, keep reading.

At Camunda, our CI/CD infrastructure platform is treated as an internal product. Our mission is to build a platform that offers a Golden Path, enabling 150+ engineers across 20+ teams to deliver with world-class velocity and uncompromising quality at scale, that will allow Camunda engineers to focus on building the agentic technologies that will define our market leadership.

We are approaching a pivotal phase: an upcoming quality surge that will significantly increase testing volume and engineering throughput. Our platform must scale seamlessly, without increasing developer toil.

We are looking for an Engineering Manager who acts as a servant leader. You will guide a high-leverage remote team of four infrastructure engineers and drive the evolution toward a scalable zero-toil platform.

At the organizational level, you will ensure that the right way is the easy way, serving as an advocate for the engineers who rely on the platform every day.

If you’re excited about building autonomous, high-leverage platform teams at scale, we’d love to talk!

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   Ensure we continuously deliver and improve our infrastructure platform

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  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.

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  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

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  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.

• 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

This role is an existing vacancy

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