Azure Devops Engineer

Artificial Intelligence & Engineering

AI & Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These insights are powered by engineering for business advantage, helping transform mission-critical operations. 

Join our AI & Engineering team to help transform technology platforms, driving innovation, and help make a significant impact on our clients' achievements. Youll work alongside talented professionals reimagining and re-engineering operations and processes that could be critical to businesses. 

Level: DevOps Engineer II

As a DevOps Engineer II, you will help design, build, and support cloud and DevOps solutions that enable efficient, scalable, and reliable delivery. You will work across the software development lifecycle, partnering with cross-functional teams to implement CI/CD pipelines, infrastructure as code, and cloud-native capabilities in Azure environments. In this role, you will also contribute to Agile delivery, quality reviews, and continuous improvement initiatives that help drive stronger project outcomes.

Work you'll do

As a DevOps Engineer II on the Engineering as a Service team, you will be responsible for:

• Design, build, and maintain CI/CD pipelines using Azure DevOps and other deployment orchestration tools.
• Provision and manage Azure infrastructure using landing zones and infrastructure as code tools such as Terraform, Azure Resource Manager templates, and Ansible.
• Support deployment and orchestration of microservices in Kubernetes environments, including configuration and release management activities.
• Collaborate with stakeholders and delivery teams across the software development lifecycle, from requirements analysis through deployment and defect resolution.
• Participate in Agile ceremonies, peer reviews, and process improvement initiatives to support delivery quality, automation, and operational efficiency.

The team

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models—traditional teams, pools, or pods—are tailored to each client’s needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Location: Bengaluru/Hyderabad/Pune

Shift Timings: 11 AM to 8 PM or 2 PM to 11 PM IST, as per business requirements

Qualifications

Required:

• 3–6 years of experience developing CI/CD pipelines using Azure DevOps services
• Experience with Jenkins, GitHub Actions, or GitLab CI/CD
• Experience provisioning Azure infrastructure using landing zones and infrastructure as code
• Experience using Terraform, Azure Resource Manager templates, or Ansible
• Experience with YAML or JSON and deploying microservices in Kubernetes environments
• Experience with Azure Functions, Logic Apps, Azure database services, Azure Kubernetes Service (AKS), storage services, and API management
• Bachelor of Engineering, Bachelor of Technology, Master of Computer Applications, Master of Science in Computer Science, or equivalent

Preferred:

• Experience implementing observability solutions using Dynatrace, Datadog, AppDynamics, Elastic Stack, or Splunk
• Experience implementing site reliability engineering practices, including service level indicators, service level objectives, error budgets, auto-remediation, and application performance monitoring