Lead DevOps Engineer

5+ years of professional experience as a DevOps, CloudOps, or Site Reliability Engineer 3+ years of experience in managing teams and engaging with clients both strategically and tactically Hands-on experience and deep understanding of Linux Strong hands-on professional experience with either Golang, Python, Ruby, Bash, Typescript, or Rust Strong hands-on experience with Amazon Web Services designing, building, and running highly-available cloud-native environments Production experience with Amazon EKS including multi-tenant cluster architecture, namespace isolation, and RBAC models Production experience with ArgoCD for GitOps-driven deployments Production experience with HashiCorp Vault for secrets management Experience migrating production workloads between platforms or clusters with minimal downtime Strong understanding of GitOps workflows, repository structures, and governance patterns Experience with containerization using Docker and container orchestration at scale Experience with GitHub Actions for CI/CD pipelines Understanding of current best practices and principles related to Infrastructure as Code (Terraform + Atlantis and/or CloudFormation) Experience with automation tools like Ansible, Chef, Packer, etc. Experience with monitoring tools such as DataDog, Splunk, ELK, Prometheus/Grafana NoSQL experience with Cassandra, MongoDB, or DynamoDB Relational database experience with MySQL or Postgres

Manage the Tech Pod from a complete delivery perspective Work with your client to ensure project scope and alignment Guide your Tech Pod both technically and career-wise Develop and use automation tools effectively Monitor environments while focusing on constant improvement Implement new tools and technologies as customer requirements evolve Design and execute new solutions while working to improve existing ones Provide operational support and project deployments for our customer environments Lead production workload migrations with minimal downtime Architect and operate multi-tenant Kubernetes platforms at scale