Track Manager - Azure DevOps, Terraform

HCLTech; Dadri; Presencial; INR 4.000.000 - 7.000.000; Jornada completa

Descripción de la vacante

HCL Technologies Limited is seeking a Site Reliability Engineer (SRE) – Level-3 with 9+ years of experience to drive reliability, automation, and observability across enterprise infrastructure and cloud/platform operations.

You will define SLIs/SLOs/SLAs, lead incident response, implement monitoring and telemetry, and reduce toil through automation. Collaboration with multiple engineering teams is essential.

Formación

• Experience in SRE practices, reliability, and observability.
• Lead monitoring, SLI/SLO/SLAs, and incident response.
• Automation to reduce toil and improve resilience.
• Hands-on with cloud platforms (AWS/Azure/GCP) and IaC.
• Strong collaboration with cross-functional teams.
• Knowledge of Major Incident/Problem/Change management.

Responsabilidades

• Lead SRE practices for critical infrastructure and platform services.
• Define and monitor SLIs, SLOs, SLAs, and error budgets.
• Develop automation to remove manual toil and improve reliability.
• Support IaC, provisioning, and CI/CD pipelines.
• Coordinate with Cloud, Network, Security, DevOps, and DB teams.
• Maintain runbooks, dashboards, and technical documentation.

Conocimientos

Site Reliability Engineering

Platform Engineering

Production Engineering

Automation

Observability

Incident Management

Herramientas

Ansible

Python

PowerShell

Shell scripting

Terraform

REST APIs

Kubernetes

Docker

CI/CD

Git

Descripción del empleo

Requisition ID190038-Posted11/05/2026

Site Reliability Engineer (SRE) – Level-3 with 9+ years of experience in enterprise infrastructure, cloud/platform operations, reliability engineering, automation, and observability. Responsible for improving service availability, reliability, performance, and scalability through SRE practices, proactive monitoring, automation, incident reduction, SLI/SLO management, RCA, capacity planning, and continuous engineering improvements.

Key Responsibilities

Lead Site Reliability Engineering (SRE) practices for critical infrastructure and platform services. Define, implement, and monitor SLIs, SLOs, SLAs, and Error Budgets. Drive reliability, availability, scalability, and performance improvements across production environments. Implement comprehensive monitoring, observability, logging, telemetry, and alerting. Lead troubleshooting and service restoration for critical/major infrastructure incidents. Perform detailed Root Cause Analysis (RCA) and drive permanent corrective and preventive actions. Identify recurring operational issues and eliminate manual toil through engineering and automation. Develop automation using Ansible, Python, PowerShell, Shell scripting, Terraform, and REST APIs. Support Infrastructure as Code (IaC), configuration management, and automated provisioning. Support and optimize CI/CD pipelines and platform deployment processes. Perform capacity planning, performance analysis, health checks, and proactive risk identification. Support High Availability, Disaster Recovery, resilience, and business continuity requirements. Work with cloud-native and container platforms including Kubernetes and Docker. Support AWS, Azure, GCP, hybrid-cloud, and on-premises environments as applicable. Coordinate with Cloud, Network, Cybersecurity, Application, DevOps, Database, and Infrastructure teams. Provide L3 technical guidance and escalation support to engineering and operations teams. Maintain SRE standards, operational runbooks, technical documentation, dashboards, and knowledge articles.

Skill Requirements

Strong experience in Site Reliability Engineering, Platform Engineering, or Production Engineering. Strong understanding of SLI, SLO, SLA, Error Budgets, availability, reliability, latency, and scalability. Hands-on experience with monitoring, observability, APM, logging, and alerting platforms. Strong automation experience with Ansible, Python, PowerShell/Shell, and REST APIs. Experience with Terraform and Infrastructure as Code (IaC). Experience with AWS, Azure and/or GCP cloud environments. Knowledge of Kubernetes, Docker, and containerized/cloud-native platforms. Experience with CI/CD, Git, DevOps, and configuration management. Strong troubleshooting skills across compute, OS, network, storage, cloud, and application layers. Experience with capacity planning, performance optimization, High Availability, and Disaster Recovery. Experience reducing operational toil through automation and engineering solutions. Strong knowledge of Major Incident Management, Problem Management, Change Management, and RCA. Exposure to AIOps/Agentic automation and proactive/predictive operations preferred. Strong technical leadership, documentation, troubleshooting, and stakeholder-management skills.