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Devops Engineer - Google Cloud Platform & Terraform (Remote, Full-Time), PK [HR154]

1 day, 2 hours ago
Pakistan
Full-time
Senior
DevOps Engineer
DevOps and Infrastructure
AWS Bash Datadog Docker GCP GitHub Actions GitOps OpenTelemetry Python Redis Terraform
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Smart Working

Smart Working

Smart Working is a company that specializes in software development outsourcing and staff augmentation. They offer nearshore software development services, outsourcing solutions, and staff augmentation with a focus on providing highly skilled Indian de...

Internet Software & Services
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Description

  • Design, implement, and maintain cloud-native infrastructure on Google Cloud Platform using Terraform across production, staging, sandbox, and customer environments.
  • Architect and operate serverless container workloads with Cloud Run, focusing on scaling, resource management, and cost optimization.
  • Design and manage event-driven systems using Pub/Sub, including retention, acknowledgement deadlines, dead-letter queues, and monitoring.
  • Build and maintain CI/CD pipelines with GitHub Actions and Cloud Build, including automated Terraform deployments and GitOps workflows.
  • Develop reusable Terraform modules and manage infrastructure across multiple GCP projects with remote state and environment separation.
  • Manage containerized workloads and cloud networking with GKE, VPC, Load Balancers, Cloud Armor, IAM, and Secret Manager.
  • Collaborate with software engineers on architecture decisions, scaling strategies, service separation, and performance optimization.
  • Implement monitoring, alerting, and observability using Google Cloud Monitoring, Cloud Logging, Sentry, and OpenTelemetry.
  • Administer and optimize data infrastructure including MongoDB Atlas, Redis, BigQuery, and Cloud Storage.
  • Perform incident response and root cause analysis, and drive long-term reliability and resilience improvements.
  • Own infrastructure end-to-end, including architecture, performance, 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 organization.

Requirements

  • 5+ years of hands-on DevOps or Infrastructure Engineering experience supporting production cloud environments.
  • Strong production experience with Google Cloud Platform (GCP).
  • Hands-on experience with Cloud Run and serverless container platforms on GCP.
  • Experience designing and operating event-driven architectures using Google Cloud Pub/Sub.
  • Strong understanding of serverless architecture patterns, including scaling behavior and cost models for container workloads.
  • Experience with Cloud Functions, GKE, VPC networking, Load Balancers, Cloud Armor, IAM, and Secret Manager.
  • Advanced Terraform experience, 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 own infrastructure end-to-end, including architecture decisions, performance optimization, and cost management.
  • Strong communication skills and ability to work effectively in a fully remote, async-first team environment.
  • Experience working with multi-cloud environments, especially GCP and AWS, is preferred.
  • Experience implementing GitOps practices and tooling is preferred.
  • Experience with distributed tracing and advanced APM solutions is preferred.
  • Familiarity with Datadog or similar monitoring platforms is preferred.
  • Experience supporting high-scale SaaS platforms with customer-specific deployments is preferred.
  • Interest in improving developer experience through tooling, automation, and platform engineering is preferred.

Benefits

  • Fixed shifts: 12:00 PM - 9:30 PM IST in summer and 1:00 PM - 10:30 PM IST in winter.
  • No weekend work for better work-life balance.
  • Laptop and full medical insurance provided from day one.
  • Mentorship, community support, and forums for sharing ideas.
  • Long-term career opportunity where contributions are valued.
  • Remote-first role with a genuine sense of belonging and team community.

Interested in this position?

Apply directly on the company website

Apply Now

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