Senior Associate Cloud SRE - Azure & AWS

Job Title: Senior Associate Cloud SRE – Azure & AWS Education: Any Graduate Experience: 7+years Location: Mumbai Role Summary As a Site Reliability Engineer supporting multi-cloud infrastructure (AWS and Azure), you will manage complex operational challenges and escalations while implementing reliability best practices across production systems. You will work collaboratively with customer teams and senior engineers to ensure system stability, automate operational workflows, and maintain comprehensive observability. This is a delivery-focused role requiring both advanced technical execution and operational ownership across cloud platforms. Key Skills Cloud Platforms: AWS, Azure, & VMware Monitoring & Observability: Azure Monitor, New Relic, Splunk Incident & Service Management: OpsGenie, ServiceNow, Incident Triage, Incident Response Reliability Metrics: MTTR (Mean Time to Resolve), MTTA (Mean Time to Acknowledge), SLI (Service Level Indicators), SLO (Service Level Objectives), SLA (Service Level Agreement) Database: Basic Database administration/troubleshooting Containers: AKS (Azure Kubernetes Service) & Docker. Operating Systems: Windows Server, Linux Server Primary Responsibilities Tier 2 Multi-Cloud Operations & Managed Services Azure Operations Provide tier two support for Azure cloud environments Manage and update Azure Virtual Machine images Create and configure Azure Virtual Machines and Azure SQL databases Manage Azure Active Directory (AAD) identities, roles, and role-based access control (RBAC) Configure Azure Storage account policies and access controls Manage Virtual Networks, Network Security Groups (NSGs), and route tables Restore VM snapshots and database backups to lower environments Manage disk resizing and Azure Managed Disks optimization Implement Azure resource tagging and cost management Manage log archiving using Azure Monitor and Log Analytics PIM (Privileged Identity Management) AWS Operations Provide 24x7x365 tier two support and escalation handling for AWS environments Patch and manage Amazon Machine Images (AMIs) Create and configure EC2 instances and RDS databases Manage IAM roles, users, and policies Configure S3 bucket policies and Access Control Lists (ACLs) Open and manage network routes (VPC, subnets, security groups) Restore snapshots and database backups to lower environments Increase disk sizes (EBS volumes) and manage storage optimization Implement proper tagging for environment identification and cost allocation Manage log archiving using CloudWatch Logs and S3 Cross-Cloud Responsibilities Handle escalations from tier one support with deep technical analysis across both platforms Provide root cause analysis for complex incidents in multi-cloud environments Implement consistent operational standards across AWS and Azure Support hybrid cloud connectivity and integration scenarios Reliability & Incident Management Implement and maintain SLIs, SLOs, and SLAs across AWS and Azure in collaboration with senior engineers and customer stakeholders Lead tier two incident response and incident triage, performing advanced troubleshooting and resolution on both cloud platforms (ServiceNow, OpsGenie) Conduct thorough post-incident analysis with actionable remediation plans; track and improve MTTR and MTTA Reduce reactive work by improving runbooks, alert configurations, and standard operating procedures for both clouds Apply reliability engineering best practices with oversight and review Mentor tier one engineers during incident response across multi-cloud scenarios Automation & Infrastructure as Code Build and maintain CI/CD pipelines for infrastructure and application deployments on AWS and Azure Automate complex operational tasks including patching, backups, and environment provisioning across both platforms Develop infrastructure automation using Terraform for multi-cloud environments Create scripts and tooling to eliminate manual toil and improve operational efficiency Implement Azure Resource Manager (ARM) templates or Bicep for Azure-specific automation Follow established patterns and contribute continuous improvements Document automation processes for knowledge sharing across cloud platforms Containerization & Deployment Deploy and operate containerized workloads using Docker on AWS services (ECS, EKS) and Azure services (AKS, Azure Container Instances) Support container reliability through health checks, autoscaling configurations, and resource management on both platforms Implement safe deployment patterns (canary, blue/green) across AWS and Azure Troubleshoot complex containerization and orchestration issues in multi-cloud Kubernetes environments Follow and enhance established containerization standards across both cloud providers Observability & Performance Configure and maintain comprehensive monitoring, logging, and alerting across AWS CloudWatch, Azure Monitor, New Relic, and Splunk Leverage observability data to identify issues and lead root cause analysis in multi-cloud environments Contribute to performance tuning and cost optimization initiatives across both platforms Ensure proper instrumentation and telemetry across AWS and Azure environments Identify patterns and trends to prevent future incidents Build custom dashboards and reports using CloudWatch, Azure Monitor, Datadog, and Grafana Collaboration & Customer Engagement Work closely with customer development and operations teams to improve system operability Participate in design reviews and reliability assessments for multi-cloud architectures Communicate technical concepts, tradeoffs, and recommendations clearly to stakeholders Provide regular operational updates and service reports covering both AWS and Azure Act as technical liaison between customers and internal engineering teams Required Qualifications & Experience 7+ years of hands-on experience in DevOps, SRE, or production operations roles Proven experience operating production systems in AWS OR Azure (deep expertise in one required) Working knowledge or exposure to the secondary cloud platform VMware virtualization experience Working knowledge of Windows and Linux server administration Basic database administration/troubleshooting skills Demonstrated experience managing containerized applications in production Experience delivering managed services or supporting customer-facing infrastructure Track record of handling complex technical escalations in cloud environments For AWS-Primary Candidates AWS Services (Expert): EC2, RDS, S3, IAM, VPC, CloudWatch, Lambda, and related services AWS Networking (Expert): VPCs, subnets, security groups, route tables, VPN/Direct Connect AWS Storage (Expert): EBS, S3, backup/restore strategies AWS Containers (Expert): ECS, EKS, or Fargate Azure (Foundational): Basic understanding, with exposure to Azure VMs, Storage, or networking a plus For Azure-Primary Candidates Azure Services (Expert): Azure VMs, Azure SQL, Storage Accounts, Azure AD, Virtual Networks, Azure Monitor Azure Networking (Expert): VNets, NSGs, Application Gateway, Azure Firewall, ExpressRoute Azure Storage (Expert): Managed Disks, Blob Storage, Azure Backup Azure Containers (Expert): AKS and Azure Container Instances AWS (Foundational): Basic understanding, with exposure to EC2, S3, or VPC a plus Cross-Platform Technical Skills (All Candidates) Infrastructure as Code: Terraform (preferred) or CloudFormation/ARM templates CI/CD: Azure DevOps, GitHub Actions, Jenkins, GitLab CI Scripting/Programming: Python, PowerShell, Bash, or similar languages Containerization: Strong Docker and Kubernetes experience Monitoring & Logging: Datadog, Splunk, ELK, Grafana, New Relic, Azure Monitor, OpsGenie, ServiceNow Version Control: Git and collaborative development workflows Troubleshooting: Advanced diagnostic and problem-solving capabilities Operational Capabilities Experience with 24x7 operations a