Staff Site Reliability Engineer

We are seeking a Staff Site Reliability Engineer (SRE) to lead the reliability, scalability, and operational excellence of our production systems. This role is responsible for defining and driving SRE practices across the organization, including SLIs/SLOs, incident management, capacity planning, and resilience engineering. You will design and implement automation that reduces toil, improve observability and performance across our Kubernetes and AWS environments, and ensure our systems are highly available and fault-tolerant.

The ideal candidate is a deeply technical engineer with strong distributed systems expertise, a passion for operational rigor, and a track record of improving reliability through thoughtful engineering, automation, and data-driven decision-making.

**This role is fully remote within the US**

• →Define and evolve reliability standards for the SmarterDx platform, including SLIs, SLOs, and error budgets that align engineering work with customer impact.
• →Implement a “reliability” platform using Terraform and infrastructure-as-code best practices.
• →Enhance observability systems (metrics, logs, traces, alerting) to provide actionable insights and reduce mean time to detect (MTTD) and resolve (MTTR).
• →Lead incident response, drive blameless postmortems, and implement systemic improvements to prevent recurrence.
• →Reduce operational toil through automation, self-healing systems, and improved deployment and rollback mechanisms.
• →Provide production support for the SmarterDx platform, applying SRE principles to ensure availability, performance, and data durability.
• →Research, prototype, and advocate for new reliability practices, tooling, and architectural improvements across the engineering organization.

• 10+ years of software and software reliability engineering experience, with significant time spent operating and scaling distributed systems in production environments.
• 3+ years of hands-on experience running cloud-native infrastructure in AWS, including deep familiarity with containers, Kubernetes, monitoring, and alerting in live production systems.
• Proven experience defining and managing SLIs/SLOs, leading incident response, and driving postmortems and systemic reliability improvements.
• Strong expertise with Terraform and infrastructure-as-code practices for managing production infrastructure safely and reproducibly.
• Deep experience with Kubernetes architecture and operations, including workload reliability, cluster scaling, networking, and failure modes.
• Experience working in security-conscious, compliance-oriented environments where reliability and data protection are first-class concerns.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field — or equivalent practical experience operating large-scale systems.

• Reliability engineering experience with production database systems (e.g. Postgres)

• AWS
• Terraform
• Kubernetes
• Go, Python, Typescript
• Postgres