About Time Doctor
Time Doctor is a workforce analytics platform that gives leaders AI-powered, actionable insights into how work actually happens. By turning activity and productivity data into practical intelligence, Time Doctor helps organizations make smarter decisions, support employee well-being, and lead with trust, not control, across remote, hybrid, and in-office teams.
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.
We are NOT looking for
❌ Engineers with AWS-only backgrounds — this role is GCP-first, and you must have hands-on production experience with Google Cloud
❌ Candidates without database administration experience — you need to have actively managed databases (especially MongoDB Atlas), not just consumed them
❌ Engineers who only maintain infrastructure — you should be driving improvements in scalability, reliability, and cost
❌ People who wait for fully defined tickets — you proactively identify gaps and take ownership across infrastructure and systems
❌ Candidates without deep Terraform ownership — writing a few modules isn’t enough; you’ve managed and evolved infrastructure at scale
We ARE looking for
✅ A DevOps Engineer with strong, hands-on GCP experience (GKE, Cloud Run, networking, IAM, security, production systems)
✅ Someone who has owned Terraform end-to-end — designing, structuring, and scaling infrastructure across multiple environments
✅ Proven experience administering MongoDB Atlas in production — including clustering, replication, backups, performance tuning, and security
✅ An engineer who builds and maintains robust CI/CD pipelines and automates infrastructure and deployments
✅ A systems thinker who connects infrastructure decisions to uptime, performance, and developer velocity
✅ Someone curious about AI and using it to automate workflows and improve engineering efficiency