Bengaluru · Mid Level
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Enabling Areas - DEC - Executive - DevOps Engineer
• Job requisition ID : 114559
• Location: Bengaluru
• Entity: Deloitte Touche Tohmatsu India LLP
The team
The Digital Excellence Centre is responsible for building products and platforms for Deloitte India that focuses on providing extraordinary customer experience by putting design thinking with trailblazing technology in the center of what they do. The diverse team consists of subject matter experts, technology specialists, quality engineers, user experience researchers & designers, data scientists and product managers.
Your work profile
We are seeking a DevSecOps Engineer with 3+ years of experience in AWS, Azure DevOps, CI/CD automation, Kubernetes, Continuous Monitoring and Infrastructure as Code (IaC). The ideal candidate will have experience building cloud-native solutions, automating deployments, improving platform reliability, and leveraging modern AI-powered developer tools and services.
Design, deploy, and manage scalable and secure AWS cloud infrastructure.
Build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, and Jenkins.
Automate infrastructure provisioning using Terraform, CloudFormation.
Manage containerized applications using Docker and Kubernetes (EKS/AKS, ECS & Red Hat OpenShift Kubernetes).
Implement monitoring, logging, and alerting using CloudWatch, Grafana, and Prometheus.
Apply DevSecOps best practices and cloud security standards.
Integrate AI-powered tools and services to improve development, automation, and operational efficiency.
Collaborate with development teams to streamline deployments and improve system reliability.
Key Skills Required:
AWS (EC2, S3, IAM, VPC, Lambda, EKS, ECS)
Azure DevOps (Pipelines, Repos, Boards)
Terraform, CloudFormation,
Docker, Kubernetes, Helm
Git, GitHub, Jenkins
Python, Bash, PowerShell
CloudWatch, Grafana, Prometheus
CI/CD, GitOps, DevSecOps
AI Experience (Preferred)
Microsoft Copilot
AI-assisted automation and workflow optimization
Basic understanding of Generative AI, LLMs, and AI integrations in enterprise environments

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