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.
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
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
Nice to Have
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
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
