DevOps Engineer

About the Role

We are looking for a hands-on DevOps Engineer with strong expertise in cloud infrastructure, automation, CI/CD, and containerized workloads. The ideal candidate will drive infrastructure automation, reliability, and deployment efficiency across cloud-native environments.

Key Responsibilities

• Design, deploy, and manage enterprise-scale cloud infrastructure (AWS / Azure / GCP)
• Build and maintain Infrastructure as Code (IaC) using Terraform (state management, remote state, locking, reusable modules)
• Develop and maintain CI/CD pipelines (GitHub Actions, GitLab CI, Azure DevOps, Jenkins, Bitbucket)
• Implement GitOps practices using ArgoCD, Flux, and Helm
• Manage containerized workloads using Docker and Kubernetes (EKS / GKE / AKS)
• Build monitoring and observability using Datadog, CloudWatch, Prometheus, Grafana, and OpenTelemetry
• Drive DevSecOps practices — security scanning, governance, and compliance (Trivy, Wiz, Snyk, GHAS)
• Automate operational processes using Python, Go, Bash, or PowerShell scripting
• Troubleshoot cloud, networking, OS, and infrastructure-related issues
• Manage Windows & Linux administration, and support DEV/UAT/PROD environments
• Ensure security, scalability, backup/DR, and cost optimization across cloud environments
• Support incident management, RCA, and reliability engineering practices (SLOs, SLIs, error budgets, toil reduction)
• Collaborate with development, platform, and engineering teams to enable self-service and automation-first practices
• Exposure to FinOps and cloud cost optimization

Required Skills

• Strong hands-on experience with AWS, Azure, and/or GCP
• Strong Terraform / Infrastructure as Code (IaC) expertise (mandatory)
• CI/CD tools: GitHub Actions, GitLab CI/CD, Azure DevOps, Jenkins, Bitbucket
• Containerization & Orchestration: Docker, Kubernetes (EKS/GKE/AKS)
• GitOps: ArgoCD, Flux, Helm
• Strong Python, Go, Bash, or Shell scripting for automation
• Strong Linux and Windows administration
• Networking fundamentals: DNS, TCP/IP, BGP, VPC, firewalls, security groups
• Monitoring & Observability: Prometheus, Grafana, Datadog, CloudWatch, OpenTelemetry
• SQL Server / PostgreSQL / database connectivity troubleshooting
• Understanding of IAM, secrets management, and cloud security best practices
• DevSecOps tools: Trivy, Wiz, Snyk, GHAS (good to have)

Good to Have

• AWS Landing Zone / Multi-Account Architecture
• Azure Data Factory / ETL & Pipeline Design
• ServiceNow integration
• Internal Developer Platforms (IDP)
• AI-assisted engineering / automation
• Chaos Engineering & Disaster Recovery
• Multi-cloud exposure

Ideal Candidate Profile

• Strong engineering mindset with an automation-first approach
• Comfortable working across development, platform, and engineering teams
• Strong ownership, troubleshooting, and problem-solving skills
• Able to influence stakeholders and drive adoption of reliability practices
• Individual contributor or team leadership experience, depending on seniority

Work Location: Remote