Site Reliability Engineer - Cloud Platform (6-10 yrs)

Job Title : Site Reliability Engineer

Location : Bangalore (Hybrid).

Duration : 6-month Contract.

Job Description :

As a Site Reliability Engineer (SRE), you will be responsible for ensuring the availability, scalability, and reliability of cloud-based systems. You will design, develop, and deploy scalable solutions using cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and CI/CD pipelines.

You will also focus on monitoring, automation, and incident response, ensuring seamless operation of critical business applications.

Key Responsibilities :

- Design and implement scalable, fault-tolerant, and high-availability infrastructure using AWS, Azure, or GCP.

- Develop automated solutions to improve system reliability, monitoring, and alerting.

- Optimize cloud-native applications for performance and cost efficiency.

- Deploy and manage containerized applications using Docker and Kubernetes.

- Implement Kubernetes-based orchestration and workload management.

- Configure and maintain Helm charts for application deployments.

- Build and maintain CI/CD pipelines using GitHub Actions, ArgoCD, Harness.io, or GitLab CI.

- Automate software deployments and infrastructure provisioning with Infrastructure as Code (IaC) tools.

- Collaborate with DevOps teams to improve deployment strategies and rollback mechanisms.

- Set up monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack, Datadog, New Relic).

- Define SLIs, SLOs, and error budgets to measure system reliability.

- Respond to incidents and perform root cause analysis (RCA) for system failures.

- Ensure security best practices in cloud environments, including IAM policies, role-based access controls (RBAC), and network security.

- Implement logging, auditing, and compliance requirements for cloud platforms.

- Maintain disaster recovery and backup strategies.

Required Skills & Experience :

- 6+ years of experience in Site Reliability Engineering (SRE).

- Proficiency in Go or Python for automation and scripting.

- Strong expertise in cloud platforms AWS, Azure, GCP.

- Deep knowledge of containerization Docker, Kubernetes and orchestration tools.

- GitHub Actions, ArgoCD, Harness.io, GitLab CI.

- Knowledge of monitoring tools : Prometheus, Grafana, ELK Stack, Datadog, or similar.

- Hands-on experience with Infrastructure as Code (IaC): Terraform, CloudFormation.

- Certified Kubernetes Application Developer

- Certified Kubernetes Security Specialist

- Experience with service meshes (Istio, Linkerd).

- Knowledge of serverless architectures (AWS Lambda, Azure Functions).

- Experience in incident response and chaos engineering.

- Work on cutting-edge cloud and containerization technologies.

- Collaborate with a highly skilled team in an Agile environment.

- Opportunity to work on a high-impact, global-scale project.

- Competitive contract-based compensation.