Back
Mid-level metro DevOps role with broad tool requirements increases applicant competition and density.
Core DevOps skills like AWS, Kubernetes, Terraform are highly transferable across industries.
Explicit 5-6 years plus many mandatory technologies and platform skills makes shortlisting highly strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, operate, and scale highly available, secure, and automated AWS cloud-native production infrastructure.
Manage and optimize Kubernetes/EKS clusters and related service mesh and networking components ensuring high availability and performance.
Develop and maintain Infrastructure as Code, robust CI/CD pipelines, observability platforms, and support database operations with an emphasis on reliability and operational excellence.
5-6 years of hands-on experience in DevOps, Cloud Infrastructure, SRE, or Platform Engineering roles.
Strong expertise in AWS services (EKS, EC2, VPC, ALB/NLB, CloudFront, Route 53, IAM, S3, RDS, KMS, Secrets Manager).
Proficiency with Kubernetes, Docker, Helm, Terraform, GitLab CI/CD, Jenkins, Istio, service mesh, and related observability tools (Prometheus, Grafana, Loki, Cortex).
Strong Linux administration and scripting skills (Python, Shell); experience with relational and distributed databases (MySQL, PostgreSQL, RDS, ScyllaDB, ClickHouse, Redis).
Experienced operating complex, large-scale cloud-native production infrastructure with focus on automation and high availability.
Familiar with integrating AI and AIOps capabilities within DevOps workflows, especially generative AI and LLM platforms.
Capable of troubleshooting multi-layer production issues across Kubernetes, networking, databases, and service mesh environments.