Senior AWS DevOps Engineer (Remote, Full-Time) [AS232]
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About Smart Working
At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong, no matter where you are. From day one, you’re welcomed into a genuine community that values your growth and well-being.
Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally.
Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.
About the Role
We’re looking for a Senior AWS DevOps Engineer to join a small, high-impact platform team responsible for building and scaling a cloud-native infrastructure on AWS.
This is a hands-on role where you’ll contribute to both the design and implementation of infrastructure, CI/CD pipelines, and platform tooling. You’ll work closely with engineering teams to improve system reliability, scalability, and developer experience, while helping evolve a modern, production-grade platform.
You’ll be expected to operate with a high level of ownership, contributing across the full lifecycle, from architecture decisions to hands-on delivery and operational support.
- 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
- 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)
- 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
- 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.