smart-working-solutions - Smart Working Solutions - Senior AWS DevOps Engineer (Remote, Full-Time) [AS232]

Remote - India / Ahmedabad / Bangalore / Delhi NCR / Hyderabad / Pune / Mumbai2mo ago

Remote Senior APAC Cloud Computing Senior DevOps Engineer Privacy Manager Bash Python AWS Terraform Kubernetes

Requirements

• 5+ years of experience in DevOps, Cloud Engineering, or SRE roles • Strong hands-on experience with AWS across compute, networking, and serverless services • Proven experience building and maintaining CI/CD pipelines (GitLab preferred) • Strong proficiency with Terraform and Infrastructure-as-Code practices • Hands-on experience with Kubernetes in production environments (EKS preferred) • Solid understanding of containerisation and orchestration concepts • Experience implementing monitoring, logging, and alerting in production systems • Experience working with centralized observability platforms (e.g. Splunk, Datadog, ELK, or similar) • Strong understanding of system reliability, scalability, and production operations • Experience working across both Linux and Windows environments • Hands-on experience building AMIs using Packer and configuration tools such as Ansible • Scripting skills (e.g., Bash, Python, or PowerShell) • Ability to design systems and implement them hands-on in production environments • Strong ownership mindset with the ability to operate in a small, fast-moving team • Experience scaling or operating Kubernetes clusters at a larger scale • Exposure to multi-account AWS environments and cross-account IAM roles • Experience with serverless and event-driven architectures • Familiarity with PostgreSQL (RDS) and/or ClickHouse • Exposure to real-time or streaming systems • Experience with specialised pipelines such as Unreal Engine workflows or Pixel Streaming infrastructure

Responsibilities

• Design, build, and maintain AWS infrastructure, improving scalability, resilience, and cost efficiency across environments • Develop and manage Infrastructure-as-Code using Terraform, ensuring modular, reusable, and consistent deployments • Design and implement CI/CD pipelines (GitLab preferred) across application, data, and infrastructure layers • Build and maintain Kubernetes (EKS) workloads, including deployments, scaling, and production troubleshooting • Work across a wide range of AWS services, including compute (EC2, ECS, EKS, Lambda), networking (VPCs, subnets, security groups), and event-driven systems (API Gateway, EventBridge, SQS/SNS, Step Functions) • Manage and optimise data services such as RDS (PostgreSQL) and ClickHouse • Automate infrastructure and environment setup using tools such as Packer and Ansible for AMI creation and configuration • Implement and improve observability using CloudWatch, Grafana, Prometheus, and centralized logging tools (e.g. Splunk, Datadog, ELK) • Collaborate with developers and data engineers to improve deployment workflows, system reliability, and platform usability • Apply security best practices across infrastructure, including IAM, KMS, and Secrets Manager • Support incident response, troubleshooting, and continuous improvement of production systems

Benefits

• Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter) • No Weekend Work: Real work-life balance, not just words • Day 1 Benefits: Laptop and full medical insurance provided • Support That Matters: Mentorship, community, and forums where ideas are shared • True Belonging: A long-term career where your contributions are valued