DevOps Engineer (AWS & Kubernetes) — APPIT Software Solutions · Hyderabad
About this role
Mid-level DevOps engineer for APPIT's product engineering team — own AWS infrastructure, EKS-based microservices, GitOps with ArgoCD, Jenkins pipelines and full observability stack.
About this role and the team at APPIT Software Solutions. Mid-level DevOps engineer for APPIT's product engineering team — own AWS infrastructure, EKS-based microservices, GitOps with ArgoCD, Jenkins pipelines and full observability stack. This listing on cloudsoftsol.com is curated for engineers in India who are actively interviewing for senior cloud and DevOps roles. If you are seeking a multi-year career platform rather than a stop-gap, this listing rewards depth — read the responsibilities and requirements below carefully and tailor your application to the specifics. We do not charge candidates a fee for placement assistance; companies sponsor our involvement.
Responsibilities
Own end-to-end CI/CD for APPIT's product portfolio — Jenkins declarative pipelines for legacy services, GitHub Actions for newer services, and ArgoCD for GitOps-based delivery into Amazon EKS clusters. Standardise pipeline templates so that a new microservice can be production-deployable within one working day. Manage the AWS estate as code using Terraform — modules covering VPC, EKS, RDS, ElastiCache, CloudFront, Route 53, S3, IAM and ALB. Maintain the modules in a shared internal repository, version them with semantic versioning, and run terraform-plan reviews on every infrastructure pull request. Operate production EKS clusters: install and upgrade Helm-packaged platform components (NGINX Ingress, cert-manager, external-DNS, AWS Load Balancer Controller, cluster-autoscaler), configure IRSA for workload IAM, harden namespaces with NetworkPolicy and PodSecurity standards, and lead cluster-version upgrades on a quarterly cadence. Build the observability stack — Prometheus + Grafana for metrics, Loki or Elastic for logs, and OpenTelemetry for traces. Define SLOs for the top customer-facing services and integrate alerts with PagerDuty / Opsgenie. Drive Kubernetes-native security: image scanning in CI (Trivy / Grype), runtime policies (Falco / Kyverno), secrets via External Secrets Operator backed by AWS Secrets Manager, and signed images via cosign. Implement and document disaster-recovery procedures including database point-in-time restore, multi-AZ failover and cross-region S3 replication for compliance-critical buckets. Mentor junior engineers, run weekly tech-share sessions, lead at least one cost-optimisation initiative each quarter (Savings Plans, Spot, image rightsizing, tag-based showback) and participate in the on-call rotation for production incidents.
Requirements
3-5 years of hands-on DevOps / SRE experience on AWS, of which at least 2 years on Kubernetes (EKS preferred). Strong with Docker, Terraform, Jenkins or GitHub Actions, ArgoCD or Flux, Helm, Linux administration and shell / Python scripting. Production exposure to monitoring stacks (Prometheus, Grafana, ELK / Loki) and incident-response tooling. Practical understanding of AWS networking (VPC, subnets, NAT, route tables, security groups), IAM least-privilege, and at least one of the AWS database services (RDS / Aurora / DynamoDB). Experience supporting product teams on a sprint cadence — comfortable with Agile / Scrum / Kanban rituals. AWS Certified DevOps Engineer or CKAD / CKA certifications are a strong plus but not mandatory. B.Tech / B.E. / MCA / equivalent degree, or commensurate self-taught experience proven through public contributions.