Platform / DevOps / Site Reliability Engineer (SRE)

Location: Hyderabad, India / Remote

Shift: Night Shift (Standard US Hours)

Experience Level: 7+ years

Employment Type: Full-time

Role Overview

We are looking for a highly skilled Lead Platform/DevOps Engineer to manage, automate, and scale our cloud-native infrastructure. You will be responsible for the entire Software Development Life Cycle (SDLC), focusing on infrastructure-as-code, container orchestration, and GitOps methodologies to ensure high availability and operational excellence.

Key Responsibilities

1. Cloud & Infrastructure Management

• Design and Deploy: Architect and manage robust AWS environments utilizing EC2, VPC, IAM, S3, RDS, and Lambda.
• Infrastructure as Code (IaC): Develop and maintain complex Terraform templates for development, staging, production, and disaster recovery environments.
• Security & Compliance: Implement security best practices, including IAM key rotation, AWS Secrets Manager, encryption using KMS, and Service Control Policies (SCPs).

2. Orchestration & Containerization

• Kubernetes Management: Design and manage large-scale Kubernetes clusters (EKS/AKS) supporting 100+ microservices.
• Application Packaging: Implement Helm charts for application packaging and environment-specific configurations.
• Service Mesh: Implement and manage Istio for secure microservices communication and traffic management.

3. CI/CD & Automation

• Pipeline Development: Build end-to-end CI/CD automation using Jenkins, GitHub Actions, and Azure DevOps with YAML-based pipelines.
• GitOps Implementation: Integrate Argo CD for continuous deployment to ensure consistent and reliable rollouts across clusters.
• Developer Experience: Configure developer portals (e.g., Backstage) for self-service deployments and automated provisioning.

4. Site Reliability & Observability

• Monitoring & Alerting: Set up Prometheus, Grafana, and ELK stack (Elasticsearch, Logstash, Kibana) for system-wide observability.
• Performance Engineering: Conduct performance testing using JMeter to identify bottlenecks and optimize application speed.
• Cost Management: Execute resource optimization strategies and utilize tools like Kubecost to reduce cloud billing (e.g., via Spot instances)

Job Type: Full-time

Pay: ₹1,500,000.00 - ₹2,500,000.00 per year

Experience

• AWS : 8 years (Required)
• Docker, Kubernetes (EKS/AKS/ROSA): 8 years (Required)
• CI/CD Tools: 8 years (Required)

Shift availability:

• Night Shift (Required)
• Overnight Shift (Required)

Work Location: Remote