Site Reliability Engineer - Platform Infrastructure Engineering

Responsibilities

• Build and maintain automated reliability tooling, infrastructure as code, and observability systems that enhance uptime and service performance.
• Develop monitoring, logging, and alerting frameworks (e.g., Prometheus, Grafana, OpenTelemetry) to detect and remediate issues proactively.
• Implement automated architectural reviews and reliability guardrails for agent-developed applications to ensure machine-generated code meets long-term maintainability and performance standards.
• Partner with engineering teams to design and implement scalable, fault-tolerant systems that meet defined SLIs and SLOs.
• Automate repetitive operational tasks and develop self-healing and auto-remediation mechanisms to minimize human intervention.
• Participate in on-call rotations and lead incident response efforts, performing post-incident reviews and driving systemic improvements.
• Improve the deployment and release process using CI/CD pipelines and progressive delivery techniques to ensure stability and safety.
• Champion observability, reliability, and operational readiness reviews as part of the development process.
• Collaborate with Security and Compliance teams to ensure production systems meet FedRAMP, NIST, and internal policy requirements.
• Contribute to documentation, runbooks, and internal tooling to enhance knowledge sharing and operational maturity across teams.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
• 3-5 years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering.
• 2+ years of hands-on experience managing and scaling services in cloud environments such as AWS, GCP, or Azure.
• 1+ years proficiency in at least one modern programming language (e.g., Java, Go, Python, Ruby, JavaScript).

Preferred Qualifications

• Strong understanding of containerization and orchestration technologies (Docker, Kubernetes).
• Experience implementing and maintaining CI/CD pipelines and automation frameworks.
• Working knowledge of observability systems—metrics, tracing, logging, and alerting.
• Experience building automated recovery, failover, or chaos-engineering systems to validate reliability.
• Familiarity with event-driven architecture and asynchronous processing systems.
• Knowledge of distributed systems design, load balancing, and performance optimization.
• Exposure to infrastructure-as-code tools (Terraform, Pulumi, Ansible) and GitOps practices.
• Understanding of security and compliance frameworks (FedRAMP, SOC2, or NIST 800-53).
• Strong analytical and troubleshooting skills across the stack—from network to application layer.
• Excellent communication and documentation skills, with a focus on cross-team collaboration and continuous improvement.
• Experience using AI agentic coding assistants and deploying custom AI agents or automated workflows into production environments.

Compensation

• Base salary: $168,926—$192,500 USD (Mountain View, CA)
• Comprehensive benefits including medical, dental, vision, 401(k) match, unlimited PTO, parental leave, and more.