Manager, Cloud Infrastructure Engineering

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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.

About the Role

At Camunda, we build the platform behind mission-critical process orchestration for customers worldwide. This role is central to that work.

The Manager, Cloud Infrastructure Engineering leads the team that runs the cloud infrastructure behind Camunda's SaaS offering, keeping it reliable, scalable, and secure as the company grows. This is a hands-on engineering leadership role for someone who has built and run Kubernetes-based, multi-cloud infrastructure in production and can help a team do the same.

Working fully remote across time zones, this person creates clarity and keeps the team moving. We want someone who uses AI regularly in their infrastructure work, for automation, faster analysis, and tighter operations, and who has thought carefully about where guardrails belong.

What you'll be doing

• Lead and grow the team that runs Camunda's SaaS cloud infrastructure, with a focus on execution and strong engineering culture.
• Guide the design, delivery, and evolution of Kubernetes-based, multi-cloud infrastructure, with reliability, scalability, and security as the baseline.
• Work with product engineering, security, support, and other engineering leaders to make sure the platform lets teams ship safely and efficiently.
• Keep raising the bar on infrastructure automation, developer tooling, and platform guardrails so the service scales without adding friction.
• Define how the team uses AI as a repeatable part of infrastructure work: ops analysis, automation, incident response, documentation.
• Balance day-to-day operational stability with longer-term investments in multi-cloud expansion and new infrastructure capabilities.

What you bring

• Ability and/or willingness to use our product.
• 3 - 5 years experience leading engineers who build and run production infrastructure for a SaaS product.
• Strong technical background in cloud infrastructure engineering, platform engineering, SRE, or a related domain.
• Hands-on Kubernetes experience in production, including scaling, reliability, and cluster lifecycle.
• Experience working across more than one major cloud provider and understanding the trade-offs of running multi-cloud.
• Track record of working with senior engineers and stakeholders across teams to deliver major infrastructure improvements while raising reliability, scalability and keeping a focus on security.
• Strong people leadership: coaching, managing performance, setting priorities, and building an environment where engineers can do their best work.
• Clear thinking about where AI fits in infrastructure engineering work, with judgment about what's useful, repeatable, and responsible.

Nice-to-haves

• Experience running global or multi-region SaaS infrastructure.
• Familiarity with infrastructure as code, policy as code, and platform automation.
• Experience improving observability, incident management, or reliability for cloud-native systems.
• Experience with cloud cost management, platform guardrails, or other tools that help teams make better infrastructure decisions.