HCLTech—Senior Technical Lead

Job description

Description: Job Summary We are seeking a highly skilled DevOps / Site Reliability Engineer (SRE) with 8+ years of experience in designing, implementing, and managing highly available, scalable, and secure cloud-native platforms. The ideal candidate will have deep expertise in DevOps automation, Kubernetes, CI/CD, Infrastructure as Code (IaC), observability, cloud technologies, and production operations. The role requires strong problem-solving skills and a reliability-first mindset to drive operational excellence and platform stability. Key Responsibilities Site Reliability Engineering - Design, implement, and maintain reliable, scalable, and resilient infrastructure. - Define and manage Service Level Objectives (SLOs), Service Level Indicators (SLIs), and Error Budgets. - Ensure high availability and performance of mission-critical applications. - Lead incident management, root cause analysis (RCA), and postmortem reviews. - Drive reliability improvements through automation and proactive monitoring. DevOps & Automation - Build and optimize CI/CD pipelines using modern DevOps tools. - Automate infrastructure provisioning, deployment, and operational processes. - Implement Infrastructure as Code (IaC) practices using Terraform, CloudFormation, or similar tools. - Enable self-service platform capabilities and reduce operational toil through automation. Kubernetes & Container Platforms - Design, deploy, and manage Kubernetes clusters in cloud or hybrid environments. - Manage containerized workloads using Docker and Kubernetes. - Implement deployment strategies such as Blue-Green, Canary, and Rolling Deployments. - Ensure platform security, scalability, and fault tolerance. Cloud Operations - Manage and optimize cloud infrastructure on AWS, Azure, or GCP. - Monitor cloud resource utilization, availability, and performance. - Implement cloud security best practices, IAM, RBAC, and governance controls. - Support disaster recovery and business continuity initiatives. Observability & Monitoring - Implement monitoring, logging, and alerting solutions. - Develop dashboards and operational metrics to track platform health. - Improve MTTR through observability and automation. - Perform capacity planning and performance tuning. Collaboration - Partner with Development, QA, Security, and Architecture teams. - Promote DevOps, DevSecOps, and SRE best practices across teams. - Mentor junior engineers and contribute to technical leadership initiatives. Mandatory Skills Cloud Platforms - AWS, Azure, or Google Cloud Platform (GCP) Containerization & Orchestration - Kubernetes - Docker - Helm CI/CD Tools - Jenkins - Azure DevOps - GitHub Actions - GitLab CI/CD Infrastructure as Code - Terraform - Ansible - CloudFormation (Preferred) Monitoring & Observability - Prometheus - Grafana - Splunk - ELK / EFK Stack - AppDynamics or Dynatrace Scripting & Programming - Python - Bash/Shell Scripting - PowerShell (Preferred) Source Control - Git - GitHub / GitLab / Bitbucket Operating Systems - Linux Administration (RHEL, Ubuntu, CentOS) Good to Have - OpenShift Administration - Service Mesh (Istio/Linkerd) - Kafka/Event Streaming Platforms - Security & Compliance Automation - Chaos Engineering - FinOps and Cloud Cost Optimization - MLOps Exposure - DevSecOps Implementation Experience Skill Requirements - Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. - 8+ years of experience in DevOps, Platform Engineering, Cloud Operations, or Site Reliability Engineering. - Strong troubleshooting, debugging, and performance optimization skills. - Experience supporting large-scale production environments. - Strong communication, stakeholder management, and cross-functional collaboration skills. Preferred Certifications - Certified Kubernetes Administrator (CKA) - AWS Certified DevOps Engineer – Professional - Microsoft Azure DevOps Engineer Expert - HashiCorp Terraform Associate - Google Professional Cloud DevOps Engineer - Certified Kubernetes Security Specialist (CKS) Key Success Metrics - Platform Availability of 99.9% or higher - Reduced Incident Volume and Mean Time to Recovery (MTTR) - Increased Deployment Frequency and Release Reliability Other Requirements