DevOps Engineer

About Meridian Softworks Meridian Softworks 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, Meridian Softworks 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 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 be