About Smart Working
At Smart Working Solutions, 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
As a Devops Engineer - Google Cloud Platform & Terraform, you will play a key role in designing, operating, and scaling a cloud-native infrastructure that powers a large enterprise-grade SaaS platform.
This role requires strong hands-on experience with Google Cloud Platform and serverless architecture, particularly Cloud Run and Pub/Sub, as well as the ability to design and operate scalable systems end-to-end.
Working in a fully remote, async-first environment, you will help ensure high availability, security, scalability, and cost efficiency across production and customer-specific environments.
You will work closely with engineering teams to build reliable infrastructure, automate deployments, and improve observability and system performance.
Responsibilities
Design, implement, and maintain cloud-native infrastructure on Google Cloud Platform (GCP) using Terraform across multiple environments (production, staging, sandbox, and customer deployments).
Architect and operate serverless container workloads using Cloud Run, ensuring efficient scaling, resource management, and cost optimisation.
Design and manage event-driven systems using Pub/Sub, including message retention, acknowledgement deadlines, dead-letter queues (DLQ), and monitoring.
Build and maintain CI/CD pipelines using GitHub Actions and Cloud Build, including automated Terraform deployments and GitOps-based workflows.
Develop reusable Terraform modules and manage infrastructure across multiple GCP projects using best practices for remote state and environment separation.
Manage containerized workloads and cloud networking using services such as GKE, VPC, Load Balancers, Cloud Armor, IAM, and Secret Manager.
Collaborate with software engineers on architecture design decisions, including scaling strategies, service separation (HTTP vs WebSockets), and performance optimisation.
Implement monitoring, alerting, and observability using Google Cloud Monitoring, Cloud Logging, Sentry, and OpenTelemetry.
Administer and optimise data infrastructure, including MongoDB Atlas, Redis, BigQuery, and Cloud Storage.
Perform incident response and root cause analysis, implementing long-term improvements to increase reliability and resilience.
Own infrastructure end-to-end, including architecture decisions, performance optimisation, cost management, and operational excellence.
Create and maintain documentation, operational runbooks, and best practices.
Mentor engineers and promote DevOps and cloud architecture best practices across the organisation.
Requirements
5+ years of hands-on DevOps or Infrastructure Engineering experience supporting production cloud environments.
Strong experience working with Google Cloud Platform (GCP) in production environments.
Hands-on experience with Cloud Run and serverless container platforms in GCP.
Experience designing and operating event-driven architectures using Google Cloud Pub/Sub.
Strong understanding of serverless architecture patterns, including scaling behaviour and cost models for container workloads.
Experience working with Cloud Functions, GKE, VPC networking, Load Balancers, Cloud Armor, IAM, and Secret Manager.
Advanced experience with Terraform, including Infrastructure as Code for multi-environment systems, module development, remote state management, and Terraform Cloud workflows.
Experience managing multi-project infrastructure setups in GCP using Terraform.
Strong experience with Docker and containerized workloads.
Experience building and maintaining CI/CD pipelines using GitHub Actions and Cloud Build.
Experience administering MongoDB Atlas, including replication, backups, performance tuning, and network configuration.
Proficiency in Python and Bash for automation and infrastructure tooling.
Strong understanding of monitoring, logging, and observability in distributed cloud systems, including metrics, logs, tracing, and latency analysis.
Ability to design, operate, and take ownership of infrastructure and systems end-to-end, including architecture decisions, performance optimisation, and cost management.
Strong communication skills and the ability to work effectively in a fully remote, async-first team environment.
Nice to Have
Experience working with multi-cloud environments (GCP and AWS).
Experience implementing GitOps practices and tooling.
Experience with distributed tracing and advanced APM solutions.
Familiarity with Datadog or similar monitoring platforms.
Experience supporting high-scale SaaS platforms with customer-specific deployments.
Interest in improving developer experience through tooling, automation, and platform engineering.
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.
