Team Lead | Site Reliability Engineering | Bengaluru | Engineering | Hybrid Cloud Engineering

Team Lead | Site Reliability Engineering | Coimbatore | Engineering | Hybrid Cloud Engineering Job requisition ID : 106513 Location : Bengaluru Entity : Deloitte Touche Tohmatsu India LLP Team Lead | Engineering, AI & Data Engineering | SRE Devops Location: Coimbatore The team Engineering helps empower and drive mission-critical solutions whether we need to modernize existing systems or implement new technology products and platforms. Through innovation, we improve financial performance, accelerate new digital businesses and fuel growth. Learn more about Engineering, AI and Data Your work profile As aTeam Lead SRE DevOps Engineer, you will be responsible for delivering high-quality work products within defined timelines while supporting cloud infrastructure, automation, and reliability engineering initiatives. You will work closely with development, operations, and platform teams to implement DevOps and SRE best practices , ensuring application reliability, system scalability, and operational efficiency. Engineering services focus on delivering scalable, resilient, and high-performing cloud solutions using DevOps and SRE practices.The team supports design, implementation, and operations of enterprise-grade systems using cloud-native technologies, automation, and modern development practices. Apply DevOps and Site Reliability Engineering (SRE) principles to improve system availability and performance Build and maintainCI/CD pipelinesfor continuous integration and delivery Support deployment, monitoring, and maintenance of applications across environments Participate inincident management, RCA (Root Cause Analysis), and postmortems Collaborate with cross-functional teams for seamless delivery Contribute to automation initiatives to reduce manual efforts and improve efficiency Participate in Agile ceremonies including sprint planning and retrospectives Continuously enhance system stability, reliability, and observability Key skills required: Education-Any Graduate SRE & Reliability EngineeringSLIs (Service Level Indicators) SLOs (Service Level Objectives) Monitor application uptime, latency, and error rates Support incident resolution and participate in RCA discussions Contribute to improvingMTTR and overall system reliability CI/CD & DevOps Build and maintain CI/CD pipelines using: Azure DevOps, Jenkins, GitHub Actions Automate build, test, and deployment workflows Support release management activities Provision and manage cloud resources in: Azure / AWS environments Implement Infrastructure as Code using: Terraform / ARM / Bicep (basic to intermediate level) Support multi-environment setup (Dev, UAT, Prod) Docker for containerization Kubernetes (AKS / EKS basic to intermediate level) Support deployment of microservices Assist in scaling and managing workloads Configure and use monitoring tools: Azure Monitor, CloudWatch Prometheus, Grafana (basic exposure) Analyze logs and alerts to identify issues proactively Follow DevSecOps practices IAM / RBAC Secrets Management tools (Key Vault / Secrets Manager) Support compliance with security standards Identify performance bottlenecks and suggest improvements Assist in implementing: Auto-scaling Resource optimization Support cost optimization initiatives 35 years of experience inDevOps / SRE / Cloud Engineering Hands-on experience with: CI/CD tools (Azure DevOps / Jenkins / Git) Understanding of: Cloud platforms (Azure and/or AWS) Experience with: Infrastructure as Code (Terraform / ARM / Bicep working knowledge) Basic to intermediate knowledge of: Kubernetes and containers Scripting skills: PowerShell / Bash / Python Monitoring tools (Prometheus, Grafana, ELK) Understanding of: SRE concepts (SLI, SLO, error budgets) Knowledge of: DevSecOps practices Certification (good to have): Azure DevOps / AWS / Kubernetes Guide adoption of serverless and event-driven architectures using Lambda and SNS. Oversee cloud data and analytics platforms leveraging Databricks and LakeFlow. Manage cloud financials, FinOps, forecasting, chargeback/showback models, and optimization initiatives. Collaborate with InfoSec and compliance teams to meet ISO, SOC2, HIPAA, PCI-DSS requirements. 12+ years in IT infrastructure and cloud services, with 5+ years of deep AWS experience. Strong expertise in AWS services including EC2, S3, VPC, IAM, RDS, Lambda, ECS/EKS, SNS, CloudWatch, Route 53. Extensive experience with Terraform and enterprise-scale IaC implementations. Experience with Databricks, LakeFlow, and cloud data platforms.