Lead DevOps Engineer

Overview

Combines software development and IT operations practices which shorten the systems delivery life cycle and provide a continuous delivery platform and complements the efficiencies of Agile software development methods. Builds and maintains the tooling and infrastructure used to automate the release, deployment, and upgrade processes. Ensures continuous, high velocity delivery and automated deployment through the use of software provisioning, configuration management, source code management and/or team collaboration applications.

What Part Will You Play?

• CI/CD Pipeline Development
• Architect and implement automated build, test, and deployment workflows using tools like Harness.io and GitHub Actions.
• Continuously improve pipeline reliability, speed, and maintainability via templating, modularization, and best practices.
• Develop and maintain infrastructure-as-code (IaC) pipelines using Terraform.
• Ensure consistent provisioning and configuration of cloud resources (compute, networking, storage, IAM).
• Operate and optimize components in AWS or Google Cloud Platform
• Monitor cost, performance, and security posture; recommend and implement improvements.
• Work hand-in-hand with application teams to onboard services onto CI/CD pipelines, define branching strategies, and automate release gates.
• Partner with security and compliance teams to bake in policies (e.g., vulnerability scans, secret management) into pipelines.
• Build reusable pipeline templates and shared libraries to accelerate delivery across teams.
• Integrate testing frameworks (unit, integration, security) and observability tools (logging, metrics, tracing) into workflows.
• Diagnose and resolve pipeline failures, infrastructure provisioning errors, or environment drift.
• Monitor and triage security vulnerabilities identified by platforms such as Wiz and Macroscope; partner with engineering and security stakeholders to drive remediation efforts.
• Collaborate with security teams to integrate automated vulnerability detection and reporting into CI/CD pipelines.
• Configure and maintain secure and reliable log forwarding from application and infrastructure layers to observability platforms such as Splunk.
• Helps other developers on the team with technical issues and onboard them to the frameworks
• Partner with development and other project teams to improve the systems process and provide the necessary support with day to day operations
• Migrate older technology implementations to modern a container/Kubernetes platform
• Ensure logs meet compliance, audit, and monitoring requirements; help define and enforce logging standards across environments.
• Primary contributions in Development, Testing Frameworks and Rollout.
• Works under the guidance of Lead Software Engineers, Tech Leads and Architects.
• Research trends in the current technology domain, discover new tools and garner the consensus for internal adoption
• Mentor and train junior and mid-level engineers on the team; assists with technical issues and onboard them to the frameworks
  
  

• Bachelor's degree or equivalent experience in a technical discipline
• Typically Minimum of 6 years years of experience in IT with expertise in complex technology solutions
  
  

• Familiarity with container orchestration (Docker, Kubernetes).
• Experience with policy-as-code tools (OPA, policy frameworks).Exposure to security automation (vulnerability scanning, secrets management).
• Understanding of Git branching strategies (GitFlow, trunk-based development).
• GCP/Azure cloud certification
• SAFe certified
• Working with remote teams (onshore, nearshore, offshore)
• Experience with managing a large code base that is a mixture of legacy code and modern technology, preferably experience with moving legacy code to the cloud
• Experience with SF DX
• Experience with continuous integration build engines, such as Jenkins
  
  

• Skills / Knowledge - Having wide-ranging experience, uses professional concepts and company objectives to resolve complex issues in creative and effective ways. Some barriers to entry exist at this level (e.g., dept./peer review).
• Job Complexity - Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results. Networks with key contacts outside own area of expertise.
• Supervision - Determines methods and procedures on new assignments and may coordinate activities of other personnel (Team Lead).