Staff Site Reliability Engineer

Pivotal Health is a technology platform helping healthcare providers recover fair reimbursement through software, data, and AI-driven workflows. The Staff Site Reliability Engineer will define reliability strategy, strengthen scalable infrastructure and observability, improve incident response and automation, and embed resilient, secure, and compliant engineering practices across the organization.

Responsibilities:

• Set Pivotal’s reliability strategy: Define the technical vision and roadmap for reliability, availability, scalability, and operational readiness. Establish clear service-level objectives and help teams make informed tradeoffs between reliability, velocity, and cost
• Design resilient, scalable infrastructure: Guide and implement improvements to our cloud architecture, deployment systems, networking, compute, storage, and other shared infrastructure. Ensure our systems can scale with increasing product usage, data volume, and workflow complexity
• Build world-class observability: Develop a cohesive approach to metrics, logs, traces, dashboards, and alerting. Give engineers the visibility they need to understand system behavior, identify emerging issues, and resolve production incidents quickly
• Improve incident response and resilience: Establish effective incident management, on-call, postmortem, and disaster recovery practices. Lead the response to complex incidents and ensure lessons result in durable improvements to our systems and processes
• Reduce operational toil through automation: Identify recurring manual work and build systems, tooling, and automation that make operating Pivotal’s platform safer and more efficient. Improve deployment workflows, capacity management, infrastructure provisioning, and production diagnostics
• Embed reliability across engineering: Partner with software, data, and AI engineers to improve system design, production readiness, and failure handling. Create reusable patterns, tooling, and standards that allow teams to build reliable services without becoming dependent on a centralized operations function
• Strengthen security and compliance: Work closely with security and compliance stakeholders to protect sensitive healthcare and financial data. Help ensure our infrastructure, access controls, audit trails, and operational practices meet applicable regulatory and customer requirements
• Provide technical leadership: Serve as a trusted technical partner to senior engineers and engineering leaders. Lead architecture reviews, mentor engineers, clarify complex tradeoffs, and raise the standard for infrastructure and operational engineering across the organization

Requirements:

• • 8+ years of experience in site reliability engineering, infrastructure engineering, platform engineering, or operating large-scale production systems
• • Deep knowledge of cloud infrastructure, distributed systems, networking, containers, orchestration, infrastructure as code, and modern deployment practices
• • Experience designing, building, and operating highly available systems in a fast-growing production environment
• • Strong understanding of observability, service-level objectives, capacity planning, incident management, disaster recovery, and performance engineering
• • Hands-on and technically credible, with the ability to debug complex issues across application, infrastructure, network, and data layers
• • Experienced in creating automation and internal tooling that reduces operational toil and improves developer productivity
• • Comfortable influencing architecture and engineering practices across teams without relying on formal authority
• • A thoughtful communicator who can translate operational risk and technical tradeoffs for engineering, product, security, and business stakeholders
• • Pragmatic about balancing reliability, delivery speed, complexity, and cost
• • Comfortable operating in ambiguity and building from scratch—you're energized by greenfield work, not slowed down by it
• Candidates must be authorized to work in the United States without current or future employer sponsorship
• • Familiarity with HIPAA, PHI, SOC 2, data privacy, auditability, and security controls
• • Experience operating infrastructure that handles healthcare, financial, or other sensitive and regulated data
• • Experience supporting data-intensive, AI, or machine learning systems in production
• • Experience with multi-region architecture, high-volume asynchronous workflows, or complex distributed processing systems
• • A track record of introducing SRE practices at an early-stage or high-growth company