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Team Lead
4 weeks ago
We are looking for a highly skilled and proactive Team Lead DevOps to join our Infrastructure Management Team.
In this role, you will lead initiatives to streamline and automate infrastructure provisioning, CI/CD, observability, and compliance processes using GitLab, containerized environments, and modern DevSecOps tooling.
You will work closely with application, data, and ML engineering teams to support MLOps workflows (e.g., model versioning, reproducibility, pipeline orchestration) and implement AIOps practices for intelligent monitoring, anomaly detection, and automated root cause analysis. Your goal will be to deliver secure, scalable, and observable infrastructure across environments.
Key Responsibilities :
- 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 :
- 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.
(ref:hirist.tech)