AWS Devops-DevOps Engineer III
Deloitte
Position Summary
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. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that could be critical to businesses.
Level: DevOps Engineer II I
As a DevOps Engineer III, you will help design, build, and optimize cloud-native DevOps solutions that enable scalable, secure, and reliable delivery. You will work across the software development lifecycle to automate infrastructure, strengthen continuous integration and continuous deployment (CI/CD) processes, and support high-quality engineering outcomes in Amazon Web Services (AWS) environments. In this role, you will collaborate with cross-functional teams, contribute to process improvement and automation, and help deliver measurable value for clients.
Work you'll do
As a DevOps Engineer III on the Engineering as a Service team, you will be responsible for…
- Design, build, and maintain CI/CD pipelines using AWS DevOps services and enterprise orchestration tools to support application delivery
- Provision, configure, and manage AWS infrastructure using infrastructure as code tools, including Terraform, AWS CloudFormation, and Ansible
- Deploy and support cloud-native applications and microservices in Kubernetes environments, including creation and maintenance of orchestration files
- Implement monitoring and observability capabilities to improve platform reliability, issue detection, and operational performance
- Participate in Agile delivery activities, including sprint planning, retrospectives, effort estimation, peer reviews, and knowledge sharing across teams
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:
- 6+ years of experience developing CI/CD pipelines using Amazon Web Services (AWS) DevOps services, including AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline
- Experience with at least one CI/CD orchestration tool, including Jenkins, GitHub Actions, or GitLab CI/CD
- Experience provisioning and managing AWS infrastructure using landing zones, auto scaling, and auto provisioning capabilities
- Experience using infrastructure as code tools, including Terraform, AWS CloudFormation, and Ansible
- Experience with YAML and JSON scripting and configuration, and with AWS cloud-native services including AWS Lambda, AWS Glue, AWS database services, Amazon EventBridge, Amazon Elastic Kubernetes Service (EKS), Amazon Simple Storage Service (S3), security groups, and Amazon API Gateway
- Experience deploying microservices in Kubernetes environments and implementing monitoring and observability using AWS CloudWatch, Dynatrace, Splunk, or Datadog
- Bachelor of Engineering, Bachelor of Technology, Master of Computer Applications, Master of Science in Computer Science, or equivalent from an accredited university
- Experience implementing observability capabilities using Dynatrace, Datadog, AppDynamics, Elastic Stack, or Splunk
- Experience implementing site reliability engineering practices, including service level objectives, service level indicators, toil reduction, error budgets, auto-remediation, and auto-healing
- Experience applying branching strategies aligned to release management approaches
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Requisition code: 351564