Our client is at the intersection of real-time systems and next-generation AI, building distributed infrastructure for voice-first, real-time AI applications at scale. With over €190m in funding and valued at over €890m, they are redefining what modern infrastructure can unlock in a world shaped by seamless human–machine interaction. Their platform powers high-concurrency, low-latency dialogue systems, leveraging LLMs, event-driven architectures, and deeply integrated developer tooling.

Role Overview:

The DevOps Engineering Manager will lead the team responsible for the company’s core cloud infrastructure and developer-enabling services. You’ll guide the evolution of scalable, reliable, and secure systems that power internal engineering productivity and support millions of user interactions.

Key Responsibilities:

* Build, mentor, and lead a team of cloud infrastructure and SRE specialists, fostering a culture of reliability and scalability.

* Define and execute the strategic vision for cloud infrastructure, focusing on automation, cost efficiency, and high availability.

* Create infrastructure “golden paths” - patterns and frameworks that enable other teams to deploy and operate services autonomously.

* Partner with product and engineering leadership to ensure infrastructure investments align with business goals.

* Attract, retain, and develop top-tier engineering talent.

Qualifications:

* Proven experience managing DevOps, SRE, or platform engineering teams in fast-paced environments

* Deep technical expertise in cloud infrastructure (AWS, Azure, or GCP) and modern deployment patterns

* Hands-on knowledge of infrastructure-as-code, containers (Docker, Kubernetes), CI/CD, and observability tools (Datadog, Prometheus, Grafana).

* Excellent stakeholder management and communication skills, capable of translating infrastructure needs into strategic outcomes.

If you're excited about building the infrastructure that powers next-generation AI-driven voice systems as well as leading teams that enable seamless, intelligent communication at scale - we’d love to hear from you.