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Synthesis Health · 11 hours ago

Staff Site Reliability Engineer

United States

Full-time

Remote

Senior Level, Lead/Staff

$145K/yr - $180K/yr

8+ years exp

Synthesis Health is a mission- and values-driven company focused on revolutionizing healthcare through innovation. They are seeking a Staff Site Reliability Engineer to own the strategy and execution for maintaining high availability of their critical healthcare services while leading automation efforts and mentoring other engineers.

Health CareMedicalWellness

Responsibilities

Uptime & Reliability Strategy

Own the 99.99% Target: You will define the Service Level Objectives (SLOs) and Service Level Indicators (SLIs) for our critical user journeys. You will be accountable for tracking our Error Budgets and governing the release velocity based on platform stability

Incident Management & Forensics: You will own the incident response process, serving as the ultimate escalation point for complex production outages. You will lead blameless post-mortems (RCAs) to identify root causes and ensure systemic fixes are implemented to prevent recurrence

Eliminate Toil: You will ruthlessly identify and automate manual operational tasks. Your goal is to engineer yourself out of operations work so you can focus on high-value reliability architecture

Business Continuity & Disaster Recovery (BC/DR)

Architect for Catastrophe: You will design and implement our Business Continuity and Disaster Recovery strategy. You will orchestrate our regional failover capabilities, ensuring we meet aggressive Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO)

Enterprise-Grade Resilience: You will build the technical credibility required to win grueling enterprise audits. You will demonstrate that our platform is robust, stable, and resistant to unexpected failures through rigorous documentation and proof-of-concept demonstrations

"Game Day" Simulations: You will lead regular disaster recovery drills and chaos engineering experiments to validate our failover mechanisms, ensuring our team is practically prepared for real-world scenarios

Scalability & Performance

Intelligent Auto-Scaling: You will design and implement sophisticated auto-scaling strategies (HPA/VPA/Cluster Autoscaler) on Kubernetes (GKE) to handle unpredictable spikes in medical data ingestion

Capacity Planning: You will lead capacity planning and cost optimization initiatives, ensuring our infrastructure scales efficiently with our business growth

Architectural Leadership

Resilience Patterns: You will work with the Architecture Review Board (ARB) to enforce resilience patterns (circuit breakers, retries, fallbacks, bulkheads) in our application code and service mesh

Mentorship & Culture: You will advocate for SRE culture across the engineering organization, mentoring feature teams on how to build operable, observable, and reliable software

Qualification

Site Reliability EngineeringKubernetesInfrastructure as CodeObservabilityCloud NativeBC/DR OrchestrationCoding ProficiencyHealthcare ExperienceGlobal Traffic ManagementChaos Engineering

Required

Deep SRE Experience: 8+ years of engineering experience, with a significant focus on Site Reliability Engineering or DevOps in a high-scale, 24/7 production environment

BC/DR Orchestration: Proven experience designing active-passive or active-active multi-region architectures. You have successfully executed regional failovers and managed the complexities of data replication and consistency during outages

Kubernetes Mastery: Deep, hands-on expertise with Kubernetes (GKE preferred). You understand the internals of scheduling, networking (CNI), and storage (CSI)

Infrastructure as Code: You treat infrastructure as software. You have expert-level proficiency with Terraform or similar IaC tools

Observability Expert: You have deep experience implementing and tuning observability stacks (Prometheus, Grafana, Datadog, or similar). You know how to extract meaningful signals from noise

Coding Proficiency: You are a capable coder in Go, Python, or TypeScript. You can dive into application code to debug production issues or build complex automation tooling

Cloud Native: Deep experience with public cloud providers (GCP preferred) and their managed services