Devops Engineer

Primary role involves implementing, maintaining, and modifying Concourse CI/CD pipelines to support our development and operational workflows. Work closely with cross-functional teams to ensure seamless integration, deployment, and pipeline optimisation, while adhering to best practices and project requirements.

Cross projects Devops planning & infrastructure setups including setting up of cicd using multple tools like terraform, azure devops, github, gitlab etc. 

Responsibilities and Qualifications:

• Design, implement, and maintain Concourse CI/CD pipelines.
• Create Airflow DAG pipelines utilizing Concourse CI/CD for seamless integration.
• Collaborate with teams to manage configurations, workflows, and deployment processes.
• Write and maintain Helm charts, YAML configurations, and shell scripts for automated deployment and orchestration.
• Use version control systems like GitHub to manage pipeline configurations and code.
• Track and prioritize tasks using JIRA or equivalent tools.
• Design, implement, and maintain Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Ansible across multiple projects.

Required Skills:

• Proficiency in Concourse CI/CD pipeline development and management. (Mandatory)
• Experience with Helm for managing Kubernetes deployments and configurations. [Mandatory]
• Strong expertise in shell scripting for automation tasks. Proficiency in scripting and automation using Python, Bash, or PowerShell. [Mandatory]
• Experience with GitHub for version control and collaborative development.
• Familiarity with issue tracking and project management tools like JIRA.
• IAC (Terraform) hands-on experience [Mandatory]
• Experience working in any one of the cloud (GCP / Azure / AWS) - [Mandatory]

Good to Have:

• Hands-on experience with Apache Airflow for orchestration and DAG management.
• Knowledge of Kubernetes and container orchestration.
• Strong experience with CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab).
• Experience with MLOps & deploying ML models in production.
• Implement and maintain monitoring solutions using tools like Prometheus, Grafana, ELK Stack, or Datadog. Proven experience with monitoring, logging, and alerting frameworks.
• Implement security best practices, including automated vulnerability scanning, secrets management, and secure configurations.

Soft Skills:

• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration skills to work effectively with cross-functional teams.
• Ability to priorities and manage tasks in a fast-paced environment.