Senior DevOps Engineer

About the job Job description The Senior DevOps Engineer will be responsible for designing cloud infrastructure, implementing CI/CD pipelines, automating deployments, improving application reliability, and mentoring junior engineers. The role requires deep expertise in cloud platforms, Kubernetes, Infrastructure as Code (IaC), automation, monitoring, security, and production support. The ideal candidate has strong technical leadership skills, hands-on implementation experience, and a proactive approach to solving complex infrastructure challenges. Key Responsibilities DevOps Strategy & Leadership Design and implement enterprise DevOps practices across multiple client engagements. Define infrastructure standards, deployment strategies, and automation frameworks. Mentor and guide junior DevOps engineers. Conduct architecture and code reviews related to infrastructure and automation. Collaborate with development, QA, security, and project teams to improve delivery efficiency. Cloud Infrastructure Design, implement, and manage cloud infrastructure on one or more platforms: AWS Hybrid Infrastructure EC2 VPC IAM S3 Route 53 Auto Scaling ECS EKS RDS Aurora CloudFront CloudWatch Lambda Systems Manager (SSM) OR Google Cloud Platform Compute Engine GKE Cloud Storage Cloud SQL Cloud Monitoring Cloud Functions CI/CD Implementation Design and manage automated CI/CD pipelines using: Jenkins Azure DevOps Pipelines GitHub Actions GitLab CI/CD Bitbucket Pipelines Responsibilities include: Build automation Release automation Deployment automation Rollback strategies Blue-Green deployments Canary deployments Automated testing integration Kubernetes & Containerization Lead container platform implementation. Required experience: Docker Kubernetes Helm Responsibilities include: Cluster management RBAC configuration Ingress Controllers Persistent Volumes Stateful Applications Autoscaling Resource optimization Kubernetes security Cluster upgrades Monitoring & Observability Implement enterprise monitoring using: Prometheus Grafana ELK Stack Loki Datadog Splunk New Relic AWS CloudWatch Azure Monitor Responsibilities: Dashboards Alerting Log aggregation Performance monitoring Incident response Root cause analysis Capacity planning Security & DevSecOps Implement security throughout the software delivery lifecycle. Responsibilities include: IAM management Secrets management Vault implementation Security scanning Container security Infrastructure security Compliance automation Vulnerability management Policy enforcement OpenLDAP Experience with tools such as: SonarQube Trivy OWASP Automation & AI Infrastructure Develop automation using: Python Bash Shell Scripting PowerShell Go Automate: Server provisioning Deployments Backups Monitoring Scaling Incident response Operational tasks Architect, provision, and maintain on-premises GPU/AI servers: Manage high-performance, on-premises AI training clusters, optimizing hardware layouts for specialized workloads Networking Strong understanding of: TCP/IP DNS VPN SSL/TLS Reverse Proxy CDN Firewalls Load Balancers NAT Private Networking Experience in restricting access to internal tools and administrative dashboards by routing traffic through dedicated corporate VPN endpoints Production SupportTroubleshoot production issues. Perform root cause analysis (RCA). Ensure high availability and uptime. Participate in on-call support rotations where required. Plan disaster recovery and business continuity strategies. Required Technical skills DevOps Tool Jenkins GitHub Actions Azure DevOps GitLab CI/CD Infrastructure as Code Terraform Ansible CloudFormation Container Docker Kubernetes Helm Version Control Git GitHub GitLab Bitbucket Monitoring Prometheus Grafana ELK Splunk Datadog CloudWatch Operating System Linux (Ubuntu, RHEL, CentOS, Amazon Linux) Windows Server Databases MySQL PostgreSQL MongoDB Redis Experience Required 4–6 years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering. Strong hands-on experience with AWS, Azure, or GCP. Experience designing enterprise CI/CD pipelines. Experience supporting production systems with high availability requirements. Experience working with distributed or remote teams. Experience in client-facing IT services or consulting environments is preferred. Soft Skills Excellent communication and presentation skills Technical leadership and mentoring ability Strong analytical and troubleshooting skills Client-facing communication experience Ownership and accountability Ability to work independently in a remote environment Time management and prioritization Continuous learning mindset