Site Reliability Engineer

You are the infrastructure expert who enables our rapid product development and guarantees 99.9%+ stability and performance of our clinical AI platform for major health systems. Your work directly impacts patient access to life-saving treatment, so reliability and developer experience matter at every step. You’ll own the production environment and drive reliability improvements across both infrastructure and application code.

What youll do

• Infrastructure Ownership: Design, implement, and maintain the production environment, drawing on experience deploying 500+ machines.
• Kubernetes Mastery: Own containerized infrastructure using Kubernetes and Helm to manage deployment, scaling, and operational health.
• CI/CD & Deployment Optimization: Optimize TypeScript and Python/ML deployment pipelines for high-velocity releases with high reliability.
• DevX Support: Improve developer experience and CI/CD systems to streamline workflows.
• Infrastructure as Code: Manage infrastructure definitions using Terraform.
• Service Reliability Strategy: Define, implement, and evolve SLIs/SLOs aligned with patient and customer impact.
• Observability Standards: Extend in-application observability with consistent metrics, OpenTelemetry traces, and events/logs, plus dashboards and alerts.
• SLO-Driven Operations: Monitor reliability against SLOs and drive corrective actions when violations occur.
• Performance & Scalability Improvements: Use trace and metrics data to identify bottlenecks and drive improvements in code and configurations.
• Database & Dependency Optimization: Improve reliability and latency through indexing, query optimization, pooling, caching, and safe timeouts/retries.
• Incident Learnings to Engineering Outcomes: Lead or participate in incident responses and post-incident reviews with durable fixes and guardrails.

What Latent is looking for

• 7+ years in Site Reliability Engineering positions.
• Experience automating single-tenant infrastructure provisioning and optimizing deployment pipelines for application code or ML models.
• Extensive time at high-growth startups (no recent Big Tech).
• Experience transitioning from backend software development to infrastructure roles.
• Proficiency in Python and TypeScript.
• Experience with AWS, PostgreSQL, Redis, and Kafka.
• Experience in regulated industries, particularly health tech and HIPAA.
• Experience with IaC and orchestration tools including Kubernetes, Helm, Terraform, and Terragrunt.
• Demonstrated ability to drive systematic improvements across complex, distributed systems with high-availability requirements.
• Open-source contributions and LinkedIn recommendations.