Senior DevOps & Site Reliability Engineer (AWS & Azure Focus) - immediate joiners only - 5+ Years

Senior DevOps & Site Reliability Engineer (AWS & Azure Focus)

We are looking for an experienced and highly motivated Senior DevOps & Site Reliability Engineer to manage, automate, and optimize our hybrid cloud infrastructure and application deployment processes across both the AWS and Azure ecosystems. This pivotal role combines strong DevOps practices with dedicated Site Reliability Engineering (SRE) principles to ensure our systems are resilient, scalable, secure, and perform optimally across multiple cloud providers. You will be responsible for building highly automated, well-architected infrastructure and developing comprehensive observability systems (logging, monitoring, alerting) to maintain operational excellence.

Key Responsibilities:

Infrastructure & Automation:

• Multi-Cloud Infrastructure Management: Design, deploy, and manage scalable, fault-tolerant infrastructure and services across both Amazon Web Services (AWS) and Microsoft Azure.
• Infrastructure as Code (IaC): Develop and maintain infrastructure automation using tools like Terraform, AWS CloudFormation, or Azure ARM Templates/Bicep, ensuring consistency and repeatability across cloud platforms.
• Well-Architected Implementation: Ensure all infrastructure designs and implementations adhere to the principles of the AWS Well-Architected Framework and the Azure Well-Architected Framework, covering operational excellence, security, reliability, performance efficiency, and cost optimization.
• CI/CD Pipeline Management: Build, maintain, and optimize robust CI/CD pipelines (using Jenkins, GitLab CI, AWS CodePipeline, Azure DevOps) to facilitate rapid and reliable application deployment.

Site Reliability Engineering (SRE) & Observability:

• Monitoring & Alerting: Implement comprehensive monitoring, logging, and alerting solutions (e.g., Prometheus, Grafana, Datadog, AWS CloudWatch, Azure Monitor, Splunk) to proactively identify and resolve production issues.
• Incident Response: Lead incident response efforts, conduct root cause analyses (RCA), and implement preventative measures to improve system reliability and reduce Mean Time To Recovery (MTTR). Performance Tuning: Monitor application and infrastructure performance, identify bottlenecks, and implement optimizations to ensure high availability and responsiveness.
• SLOs/SLAs: Define and track Service Level Objectives (SLOs) and Service Level Indicators (SLIs) to meet agreed-upon Service Level Agreements (SLAs).

Security & Collaboration:

Security Automation: Implement security best practices into the DevOps workflow (DevSecOps), automating security checks and managing access controls within both AWS (IAM) and Azure (Azure AD, RBAC). Collaboration: Work closely with software development, QA, and product teams to ensure smooth releases, troubleshoot production issues, and foster a culture of shared ownership.

Required Skills and Experience:

Extensive Experience: 5+ years of experience in DevOps, SRE, or a similar cloud infrastructure role, with substantial experience managing both AWS and Azure environments.

Multi-Cloud Expertise: Deep working knowledge of core services in both AWS (EC2, S3, RDS, VPC, Lambda, etc.) and Azure (VMs, Blob Storage, Azure SQL DB, VNet, App Services, AKS, etc.).

Automation & Scripting: Strong scripting skills in Python, Bash, or Go, and hands-on experience with IaC tools (Terraform strongly preferred).

CI/CD Tools: Proficiency with multi-cloud CI/CD platforms and version control systems (Git, Jenkins, GitLab CI, Azure DevOps, AWS CodePipeline).

Observability Stack: Experience setting up and managing modern logging, monitoring, and alerting tools across cloud platforms.

Architecture Knowledge: Practical experience implementing and auditing systems against the AWS and Azure Well-Architected Frameworks.

Preferred Qualifications: Cloud Certifications (e.g., AWS Certified DevOps Engineer – Professional, Microsoft Certified: Azure DevOps Engineer Expert). Experience with containerization and orchestration (Docker, Kubernetes/EKS/AKS).