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Senior AWS DevOps Engineer (Remote, Full-Time) [AS232]

Posted 3 months ago

RemoteIndia

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
  • 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. 

    Job details
    Workplace
    Remote
    Location
    India
    Smart Working Solutions logo
    Smart Working Solutions
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    Smart Working is Tech Talent as a Service - building high-performance global engineering teams without the friction, risk, or overhead of legacy hiring models. A low-churn model that ensures you get exactly the right talent you need - on time, every time... with long-term support. 🌍 We hire exceptional engineers locally and offer stable, remote, and impactful roles helping build meaningful technology. Our fully-embedded teams help 60+ clients in the UK and USA build serious products and solutions. 🔁 Long-term support - we manage talent across the full lifecycle, from vetting to payroll, so you can focus on what matters most: building your business. ✨ What makes Smart Working different: ✅ Top 1% rigorously vetted global talent ✅ Fully embedded, culturally aligned teams working your hours ✅ Full support across performance, payroll, compliance, and HR operations ✅ Continuous AI training - future-proofed, super-efficient teams We don’t just fill seats. We build great tech teams that last - and deliver.

    Employees
    576
    Industry
    IT Services and IT Consulting
    Headquarters
    London
    Specialties
    Software Development Custom Software Solutions Product Engineering End-to-End Software Delivery Scalable Application Development Cloud-Native Development Web Application Development Backend & API Development Frontend Engineering Full-Stack Development Technology Consulting Digital Product Development System Architecture & Design Platform Engineering Agile Software Delivery DevOps & CI/CD Enablement Quality Engineering & Automation Data-Driven Applications Secure & Compliant Software Systems Long-Term Technology Partnerships

    Key team members

    Geetika Nandwani

    Geetika Nandwani

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