Senior SRE/DevOps Engineer

Job Summary

Verves Systems Engineering team keeps a high-throughput, real-time ad-serving platform fast and available, running on GCP and Kubernetes (GKE) and serving traffic around the clock. Were looking for an engineer who treats reliability as a software problem, measuring it, engineering for it, and automating away whatever gets in the way. The role combines hands-on ownership of production systems with building tools and services that other engineers rely on every day. Youll define what "reliable" means for our services, build the observability to prove it, and write the code that keeps systems healthy at scale. When something is manual, fragile, or slow, youre the person who writes the code to fix it. Youll have real ownership: shaping how our platform evolves, making architectural calls on reliability and scalability, and working closely with backend and data teams to design services that hold up under real-world load.

What Youll Do

• Define, measure, and uphold SLOs and error budgets for critical services, and use them to guide engineering priorities
• Design and operate highly available, fault-tolerant infrastructure on GCP and Kubernetes for high-throughput, latency-sensitive workloads
• Build observability across metrics, logs, tracing, and alerting that surfaces real user impact and cuts noise
• Lead incident response, run blameless postmortems, and drive the fixes that stop problems from recurring
• Reduce toil by writing tools, services, and automation (in Go, Python, or similar) that replace manual operational work
• Own capacity planning, performance tuning, and cost efficiency as traffic grows
• Partner with product, backend, and data teams on production readiness, resilient architecture, and safe release practices (progressive rollouts, automated rollback)
• Participate in on-call and continuously improve its sustainability

What You Will Bring

• Hands-on experience keeping large-scale, cloud-native production systems reliable
• Strong experience with Google Cloud Platform and Kubernetes (GKE) in production, including how they behave under load and how they fail
• Practical experience with SLIs, SLOs, error budgets, and incident management
• Solid software development skills in Go / Python / Rust, or similar, with good coding practices (testing, code review, maintainability) and a track record of shipping tools or services others depend on
• Infrastructure-as-code experience with Terraform and cloud APIs
• Experience with observability tooling such as Grafana, VictoriaLogs, and PagerDuty
• Experience with CI/CD and GitOps tooling such as Argo CD and GitHub Actions
• Experience operating databases in production
• Good understanding of networking, event messaging, and distributed systems failure modes
• Strong troubleshooting skills across the stack, from Linux and networking up to application behavior
• Full business proficiency in English
• Bachelors degree in Computer Science or equivalent practical experience