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Jobs(38,923)/Senior Software Engineer Role(1,826)/Smart Working Solutions (30) - Senior Engineer AWS/DevOps (Remote, Full-Time) [AS232]
Smart Working Solutions

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

Remote - India / Delhi NCR / Hyderabad / Pune / Kochi / Kolkata / Coimbatore2mo ago
RemoteSeniorAPACCloud ComputingSenior Software EngineerSenior DevOps EngineerBashPythonAWSTerraformKubernetes

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 • 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 • At Smart Working, you’ll never be just another remote hire. • Be a Smart Worker - valued, empowered, and part of a culture that celebrates integrity, excellence, and ambition. • If that sounds like your kind of place, we’d love to hear your story. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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