DevOps Engineer

Time Doctor is a workforce analytics platform that provides AI-powered insights into work performance. As a DevOps Engineer, you will architect and manage cloud-native infrastructure primarily on Google Cloud Platform, leveraging modern technologies to ensure high availability and performance for enterprise-grade SaaS solutions.

Responsibilities:

• Design, implement and maintain Terraform-based infrastructure across 40+ environments (production, staging, sandbox and customer-specific deployments)
• Manage GCP services including GKE, Cloud Run, Cloud Functions, Cloud Build, VPC networking, Cloud Armor and Cloud Load Balancers
• Develop and maintain reusable Terraform modules following best practices and DRY principles
• Manage multi-environment infrastructure using GitOps workflows and Terraform Cloud
• Administer MongoDB Atlas clusters including backup strategies, replication, network peering and performance optimization
• Manage Redis instances (Cloud Memorystore) for caching, session management and real-time features
• Configure and maintain BigQuery datasets, scheduled queries and data pipelines
• Implement data lifecycle policies for Cloud Storage and optimize storage costs
• Build and maintain CI/CD pipelines using GitHub Actions, Cloud Build and automated Terraform workflows
• Implement container build pipelines and manage container registries (GCR/Artifact Registry)
• Automate deployment processes with integration to GitHub via OIDC/Workload Identity Federation
• Develop infrastructure automation scripts in Python and Bash
• Configure and manage pre-commit hooks and code validation workflows
• Maintain comprehensive monitoring solutions using Google Cloud Monitoring and Sentry
• Create and manage custom alert policies for application and infrastructure metrics
• Implement distributed tracing and APM using Cloud Trace and OpenTelemetry
• Configure log-based metrics and structured logging with Cloud Logging
• Respond to incidents, perform root cause analysis and implement preventive measures
• Manage uptime checks and SLO/SLI monitoring across services
• Configure and maintain Cloud Armor WAF policies with rate limiting and DDoS protection
• Manage Identity-Aware Proxy (IAP) for secure access control
• Implement SSL/TLS automation using Let's Encrypt and Google-managed certificates
• Maintain secrets management using Google Secret Manager with proper IAM controls
• Configure VPC networking, private service access and Cloud NAT for secure communication
• Enforce security best practices including encryption at rest, network isolation and least-privilege IAM
• Work closely with engineering teams to optimize application performance and scalability
• Participate in architecture discussions and provide infrastructure expertise
• Create and maintain comprehensive documentation for infrastructure configurations, runbooks and procedures
• Mentor team members on DevOps best practices and infrastructure workflows
• Collaborate with cross-functional teams on feature deployments and system improvements

Requirements:

• Bachelor's degree in Computer Science, related technical field or equivalent practical experience
• 3-5 years of hands-on DevOps experience with production cloud environments
• Strong expertise in Google Cloud Platform (GCP), including: Cloud Run, Cloud Functions, GKE, VPC networking, Cloud Armor, Load Balancers, IAM, Secret Manager and security services
• Advanced Terraform proficiency: Infrastructure as code for complex multi-environment setups, Module development and state management, Terraform Cloud/Enterprise workflows
• MongoDB Atlas administration: Cluster configuration, sharding and replica sets, Backup/recovery strategies and performance tuning, Network peering and security configuration
• Container technologies: Docker containerization and multi-stage builds, Experience with Kubernetes or serverless container platforms, Container registry management
• CI/CD expertise: GitHub Actions workflows, Cloud Build pipelines, GitOps practices and automated deployments
• Scripting and automation: Strong Python and Bash scripting skills, Infrastructure automation and tooling development
• Monitoring and observability: Experience with Sentry/Datadog or similar APM/monitoring platforms, Cloud-native monitoring tools and practices, Log aggregation and analysis