USD per year
DevOps Engineer
Job description
About Time Doctor Time Doctor is a productivity analytics platform used by thousands of companies worldwide to measure, understand, and improve how work gets done. With 150+ team members across 45+ countries, we’re a fully remote, async-first, and deeply global team. Why Join Us 🌍 100% remote and async-first — work from anywhere 🚀 Mission-driven company shaping the future of work 💪 Strong product-market fit with tens of thousands of users (and growing) 🤝 Collaborative, humble, high-performing team 🌴 Competitive pay + 30+ days of paid time off The Role As a DevOps Engineer at TimeDoctor, you will play a key role in architecting, managing and scaling our cloud-native infrastructure on Google Cloud Platform and AWS. You’ll work hands-on with modern serverless technologies, containerized architectures and container orchestration platforms, while leveraging the full range of cloud services to ensure high availability, security and performance. This role requires deep expertise in infrastructure such as code (Terraform), automated CI/CD pipelines and cloud-native best practices to support enterprise-grade SaaS, which empowers thousands of organizations worldwide.
Job requirements
Infrastructure as Code & Cloud Architecture
- 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
Database & Data Infrastructure
- 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
CI/CD & Automation
- 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
Monitoring, Observability & Incident Response
- 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
Security & Compliance
- 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
Collaboration & Documentation
- 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
Required Qualifications
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
Time Doctor empowers individuals to achieve their best performance, no matter where they work. With a worldwide distributed team spanning 31 countries and over 280,000+ active users who swear by our product's ability to enhance visibility, profitability, and employee engagement.
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