Devops Engineer

Job Title: Senior DevOps Engineer (AWS, High-Scale Systems)

Location: Surat / Onsite

Experience: 4+ years in DevOps / Cloud Engineering

Type: Full-time

About the Role

Were building a real-time, high-scale platform and are looking for a DevOps Engineer to design, implement, and manage a robust AWS-based infrastructure. You'll ensure our systems are highly available, secure, cost-optimized, and scalable to support millions of daily transactions.

Responsibilities

• Design and manage AWS cloud infrastructure (EKS/ECS, MongoDB, VPC, ALB/NLB, ElastiCache, etc.).
• Implement Infrastructure as Code (IaC) using Terraform / AWS CDK / CloudFormation.
• Build and maintain CI/CD pipelines for zero-downtime deployments (Blue/Green, Canary).
• Ensure system observability with CloudWatch, ELK/Opensearch, Prometheus, Grafana, and distributed tracing.
• Manage real-time messaging and streaming platforms (Kafka, Socket.io).
• Implement scaling strategies (auto-scaling, caching layers, multi-region setup).
• Enforce security best practices: IAM policies, WAF, Secrets Manager, TLS, audit logging.
• Support disaster recovery with backups, snapshots, and multi-region failover.
• Collaborate closely with backend, data, and mobile teams to optimize performance.

Requirements

• 4+ years of experience in DevOps / Cloud Engineering.
• Strong expertise with AWS services (EKS/ECS, MongoDB, VPC, IAM, CloudWatch, etc.).
• Proficiency with IaC tools (Terraform, AWS CDK, or CloudFormation).
• Hands-on with CI/CD pipelines (GitHub Actions, GitLab CI, AWS CodePipeline, Jenkins).
• Experience with monitoring & logging stacks (Prometheus, Grafana, ELK, CloudWatch).
• Familiarity with real-time data pipelines (Kafka, Socket.io, Redis).
• Experience with MongoDB administration and MongoDB sharding. Database and API security measures.
• Strong understanding of networking, load balancing, and security.
• Scripting skills in Python / Bash / Go.
• Good knowledge of container orchestration (Kubernetes / ECS Fargate).

Nice to Have

• Experience with geospatial data systems (Redis GEO, H3/S2).
• Exposure to chaos engineering / resilience testing.
• Knowledge of multi-region, active-active architectures.
• Experience in cost optimization in cloud-native environments.