Team Lead - DevOps

Team Lead – DevOps

Key Responsibilities

• Architect and maintain GitLab CI/CD pipelines to support deployment automation, environment provisioning, and rollback readiness.
• Implement standardized, reusable CI/CD templates for application, ML, and data services.
• Collaborate with system engineers to ensure secure, consistent infrastructure-as-code deployments using Terraform, Ansible, and Docker.
• Integrate security tools such as Vault, Trivy, tfsec, and InSpec into CI/CD pipelines.
• Govern infrastructure compliance by enforcing policies around secret management, image scanning, and drift detection.
• Lead internal infrastructure and security audits and maintain compliance records where required.
• Define and implement observability standards using OpenTelemetry, Grafana, and Graylog.
• Collaborate with developers to integrate structured logging, tracing, and health checks into services.
• Enable root cause detection workflows and performance monitoring for infrastructure and deployments.
• Work closely with application, data, and ML teams to support provisioning, deployment, and infra readiness.
• Ensure reproducibility and auditability in data/ML pipelines via tools like DVC and MLflow.
• Participate in release planning, deployment checks, and incident analysis from an infrastructure perspective.
• Mentor junior DevOps engineers and foster a culture of automation, accountability, and continuous improvement.
• Lead daily standups, retrospectives, and backlog grooming sessions for infrastructure-related deliverables.
• Drive internal documentation, runbooks, and reusable DevOps assets.
  

Must Have

• Strong experience with GitLab CI/CD, Docker, and SonarQube for pipeline automation and code quality enforcement
• Proficiency in scripting languages such as Bash, Python, or Shell for automation and orchestration tasks
• Solid understanding of Linux and Windows systems, including command-line tools, process management, and system troubleshooting
• Familiarity with SQL for validating database changes, debugging issues, and running schema checks
• Experience managing Docker-based environments, including container orchestration using Docker Compose, container lifecycle management, and secure image handling
• Hands-on experience supporting MLOps pipelines, including model versioning, experiment tracking (e.g., DVC, MLflow), orchestration (e.g., Airflow), and reproducible deployments for ML workloads.
• Hands-on knowledge of test frameworks such as PyTest, Robot Framework, REST-assured, and Selenium
• Experience with infrastructure testing tools like tfsec, InSpec, or custom Terraform test setups
• Strong exposure to API testing, load/performance testing, and reliability validation
• Familiarity with AIOps concepts, including structured logging, anomaly detection, and root cause analysis using observability platforms (e.g., OpenTelemetry, Prometheus, Graylog)
• Exposure to monitoring/logging tools like Grafana, Graylog, OpenTelemetry.
• Experience managing containerized environments for testing and deployment, aligned with security-first DevOps practices
• Ability to define CI/CD governance policies, pipeline quality checks, and operational readiness gates
• Excellent communication skills and proven ability to lead DevOps initiatives and interface with cross-functional stakeholders