Lead DevOps Engineer - Kubernetes Platform Team

About the role

Evam builds a platform that runs mission-critical production workloads at scale, helping telcos, banks and global brands connect with hundreds of millions of people through real-time, data-driven interactions. This is a platform-ownership and people-management role, not a ticket queue: the Lead DevOps Engineer sets the technical direction of the Kubernetes platform, builds and grows the platform team and turns incident learnings into systemic fixes.

Key responsibilities

• Set the technical direction and roadmap for Kubernetes platforms across AWS, Azure and bare-metal environments, supporting 50+ microservices
• Manage the DevOps/platform team: hiring, onboarding, 1:1s, performance reviews and career development; coach engineers and review designs
• Set team goals and workload priorities, balancing the platform roadmap with individual growth
• Own and improve CI/CD and GitOps-based delivery pipelines, enabling safe, zero-downtime releases
• Build and evolve observability (metrics, logs, traces) and implement autoscaling, self-healing and resilience patterns
• Work with data and ML teams to run real-time ML and inference workloads on Kubernetes, and use AI-assisted anomaly detection for monitoring
• Integrate security controls and scanning into pipelines (DevSecOps) and lead incident response and postmortems
• Represent the platform team to engineering leads and senior leadership, and own platform strategy conversations
• Build self-service platform tooling and documentation

Required profile

• BSc/MSc in Computer Science
• 7+ years of hands-on experience in DevOps, SRE, Platform Engineering or Infrastructure Engineering in production environments, including at least 2 years directly managing engineers
• Proven track record of owning architectural decisions and of building and growing a technical team
• Strong communication and stakeholder management skills

Required skills

• Kubernetes and container orchestration, with the ability to set standards and review others' designs
• AWS and/or Azure, ideally multi-cloud and on-premise
• Infrastructure as Code (Terraform, Ansible) and CI/CD (Jenkins, GitHub Actions)
• Linux, scripting, observability stacks and production monitoring
• Nice to have: Kafka, Prometheus, Grafana, PostgreSQL, ArgoCD, MLOps, and relevant certifications (CKA, CKS, AWS, Azure)