Senior Devops Engineer
Core
Design, build, operate, and scale highly available production infrastructure on AWS, with a strong focus on reliability, security, automation, and performance.
Role type
Senior DevOps Engineer (Cloud & Platform)
Builds
Scalable cloud-native platforms, Kubernetes/EKS environments, CI/CD pipelines, observability platforms, and data platforms.
Domain
Cloud Infrastructure, DevOps, SRE, Platform Engineering, Generative AI adoption
Deliverable
production ML models | product features | infrastructure
Required skills
AWS services (EKS, EC2, VPC, IAM, S3, RDS), Kubernetes, Docker, Helm, Terraform, GitLab CI/CD, Jenkins, Istio, service mesh, API gateways, Prometheus, Grafana, Loki, Linux administration, Python scripting, Shell scripting, relational and distributed databases (MySQL, PostgreSQL, ScyllaDB, ClickHouse, Redis)
Preferred skills
Generative AI and LLM fundamentals, AI platforms (OpenAI, Anthropic, Google Gemini, AWS Bedrock), AI-gateway solutions
Technologies
AWS, Kubernetes, EKS, Terraform, GitLab CI/CD, Jenkins, Docker, Helm, Istio, Prometheus, Grafana, Loki, Cortex, MySQL, PostgreSQL, ScyllaDB, ClickHouse, Redis, Python, Shell, Git, Maven, Gradle
Responsibilities
Design and maintain robust CI/CD pipelines for automated build, testing, deployment, rollback, and release management; Troubleshoot complex production issues across Kubernetes, Linux, networking, DNS, HTTP/TLS, service mesh, load balancers, and distributed microservices; Drive platform reliability and operational excellence through incident management, root cause analysis, automation, capacity planning, cost optimization, and continuous improvement; Adopt AI and AIOps capabilities in DevOps workflows for troubleshooting, log analysis, alert correlation, automation, incident analysis, documentation, and engineering productivity.
Seniority
Senior, hands-on IC
