Devops Engineer

Job Title: DevOps Engineer (Azure, GCP, Bicep, YAML)
Overview
We are looking for a talented DevOps Engineer with solid experience in Microsoft Azure, strong proficiency in Infrastructure as Code (IaC) using Bicep, working knowledge of Google Cloud Platform (GCP), and advanced skills in YAML-based configuration. The ideal candidate will help architect, automate, and optimize cloud environments while ensuring secure, scalable, and resilient application delivery.

Key Responsibilities
Cloud Infrastructure & Automation

• Design, deploy, and manage cloud infrastructure in Microsoft Azure using Bicep, ARM templates, and Azure CLI.
• Work with Google Cloud Platform (GCP) services for multi-cloud deployments, workload migration, and infrastructure optimization.
• Implement IaC best practices using Bicep, YAML, and Git-based workflows.
• Develop reusable IaC modules and ensure consistency across environments.
• Optimize cost, performance, and scalability across Azure and GCP resources.

CI/CD Pipeline Development

• Build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, or GCP Cloud Build.
• Write YAML pipelines for automated deployments, testing, compliance checks, and multi-stage delivery.
• Integrate security scanning, automated testing, and quality gates into CI/CD workflows.
• Automate provisioning, configuration management, and environment setups.

Operational Excellence

• Monitor cloud workloads using Azure Monitor, Log Analytics, Application Insights, and GCPs Cloud Monitoring and Logging.
• Troubleshoot issues across cloud infrastructure, container platforms, and application services.
• Implement DevOps best practices such as automated rollback, immutable infrastructure, and version-controlled deployments.

Security & Compliance

• Apply security best practices in Azure and GCP, including IAM, service accounts, RBAC, network security, and key management.
• Ensure governance controls, tagging standards, resource organization, and cost monitoring.
• Work closely with security teams to align with compliance frameworks and policies.

Collaboration & Support

• Collaborate with developers, architects, and QA teams to support cloud-native development and DevOps adoption.
• Participate in sprint planning, architecture discussions, and operational reviews.
• Prepare documentation including infrastructure diagrams, IaC standards, deployment processes, and troubleshooting runbooks.

Required Qualifications

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
• 5+ years of experience in DevOps or cloud engineering roles.
• Hands-on experience with:
• Azure cloud services
• GCP services (Compute Engine, Cloud Storage, GKE, Pub/Sub, IAM, etc.)
• Bicep for IaC (module creation, deployments)
• Writing and managing YAML for pipelines, Kubernetes, and configuration automation
• CI/CD platforms (Azure DevOps, GitHub Actions, Jenkins, Cloud Build)
• Git for version control
• Good understanding of containers (Docker) and Kubernetes (AKS/GKE).

Preferred Skills

• Scripting experience in PowerShell, Bash, or Python.
• Knowledge of configuration management tools (Ansible, Chef, Puppet).
• Familiarity with microservices, service mesh, and cloud-native patterns.
• Experience with Kubernetes manifests, Helm charts, and YAML templating.
• GitHub Actions
• Strong experience in building and managing CI/CD workflows using GitHub Actions.
• Ability to design reusable workflows, composite actions, and workflow templates.
• Proficiency in YAML syntax for multi-stage pipelines, environment promotion, and approvals.
• Experience integrating GitHub Actions with Azure and GCP services for automated deployments.
• Implementation of security best practices such as secrets management, OIDC authentication, and dependency scanning.
• Experience with workflow optimization, caching strategies, and parallel job execution.

GitHub Copilot

• Hands-on usage of GitHub Copilot for accelerating code development, scripting, and automation tasks.
• Ability to leverage Copilot for generating IaC templates (Bicep/ARM), YAML pipelines, and scripts.
• Experience reviewing, validating, and refining AI-generated code to meet production standards.
• Understanding of responsible AI usage, including security, compliance, and code quality considerations.

Certifications

• Professional certifications such as AZ-104, AZ-400, AZ-305, GCP Associate Cloud Engineer, or GCP Professional DevOps Engineer.

Soft Skills

• Strong analytical and troubleshooting abilities.
• Effective communication and collaboration with cross-functional teams.
• Ability to manage multiple priorities in fast-paced environments.
• Continuous learning mindset with attention to detail.