Requirements

8–12 years of experience in Cloud/DevOps engineering
Strong hands-on AWS experience across core cloud services
Strong Kubernetes experience with EKS, ECS, Docker, Helm, ingress, and service mesh
Strong Terraform experience; CloudFormation or CDK experience
Experience with CI/CD using Azure Pipelines or GitHub Actions
Strong scripting skills in Python, Bash, or PowerShell
Experience with OpenTelemetry, Prometheus, Grafana, CloudWatch, and ELK
Strong understanding of AWS security, IAM, KMS, secrets management, and security scanning
Experience with Git and Agile/Scrum
Strong incident management, troubleshooting, RCA, and post-mortem skills
Understanding of high availability, disaster recovery, RTO/RPO, and cost optimization

Responsibilities

Design and manage scalable, secure, and cost-optimized AWS infrastructure
Build and operate Kubernetes workloads using EKS, ECS, Docker, Helm, and related tooling
Develop and maintain Infrastructure as Code using Terraform
Build and manage CI/CD pipelines using Azure Pipelines and GitHub Actions
Manage AWS serverless and event-driven services including Lambda, API Gateway, SQS/SNS, and EventBridge
Implement observability using OpenTelemetry, Prometheus, Grafana, CloudWatch, and ELK
Define and monitor SLIs, SLOs, and SLAs
Drive cloud security, compliance, secrets management, and vulnerability scanning
Design backup and disaster recovery strategies aligned with RTO/RPO requirements
Lead production incident response, root-cause analysis, and post-mortems
Improve infrastructure reliability, automation, performance, and cloud costs
Use AI/Copilot to generate and review Terraform, scripts, and CI/CD pipelines
Apply AIOps for anomaly detection, log summarization, and AI-assisted incident RCA
Support infrastructure for AI workloads including GPU/inference nodes, vector databases, and model-serving platforms

Job Details

Pune — Work from Office

Interview Process

DevOps Engineer

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