Senior DevOps Engineer

Design, operate, and scale infrastructure on Google Cloud Platform to support our mobile apps, backend services, and AI-powered features.

Build and maintain infrastructure as code with Terraform, keeping development, staging, and production environments consistent and reproducible.

Develop and improve CI/CD pipelines, enabling fast, reliable deployments with automated checks and safe rollback strategies.

Deploy and manage containerized workloads, improving availability, autoscaling, and resource utilization.

Strengthen observability through metrics, logs, tracing, and actionable alerts; define and track service reliability targets.

Lead production incident investigation, document root causes, and implement improvements that prevent recurring issues.

Improve cloud security through least-privilege access, secrets management, network controls, and vulnerability remediation.

Optimize cloud spending and performance through capacity planning, right-sizing, and workload-level cost analysis.

Partner with engineers to remove delivery bottlenecks, automate repetitive operations, and maintain tested backup and recovery procedures.

5+ years of experience in DevOps, Site Reliability Engineering, or Platform Engineering, with hands-on ownership of production systems.

Strong production experience with Google Cloud Platform, including compute, networking, IAM, storage, and managed database services.

Proven experience building and maintaining infrastructure as code using Terraform.

Hands-on experience with Docker and running containerized applications on GKE, Cloud Run, or both.

Experience designing and maintaining CI/CD pipelines using tools such as GitHub Actions, GitLab CI, or Cloud Build.

Strong Linux and networking fundamentals, including DNS, HTTP/TLS, load balancing, VPCs, and firewall configuration.

Experience building monitoring, logging, and alerting solutions using tools such as Cloud Monitoring, Cloud Logging, Prometheus, Grafana, or equivalent platforms.

Proficiency in Python, Bash, or a similar language for infrastructure automation and operational tooling.

A track record of troubleshooting production incidents and improving system reliability, security, and cloud cost efficiency.

Strong ownership, clear communication, and the ability to collaborate with engineers and prioritize effectively in a fast-moving product environment.

Experience supporting high-traffic consumer products, mobile backends, or AI-powered applications.

Familiarity with GCP services such as Cloud SQL, Memorystore, Pub/Sub, and Secret Manager.

Experience with Kubernetes tooling and GitOps workflows, such as Helm and Argo CD.

Experience operating AI inference workloads or optimizing infrastructure for latency-sensitive services.

Experience implementing disaster recovery strategies and validating them through recovery exercises.

Build and scale products reaching millions of users globally.

Work with talented people in a fast-moving AI-first environment.

Take ownership and see your impact directly in the products you build.

Grow quickly with opportunities to lead projects and shape technical decisions.

Enjoy competitive compensation and benefits, including private health insurance, meal and commute support, relocation support, and flexible working options.