Senior Site Reliability Engineer

What you’ll be part of

The company is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.

The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.

About the role

We are seeking a Senior Site Reliability Engineer to own the reliability, performance, and resilience of the cloud infrastructure powering the company’s products and AI/ML workloads. This role sits on our Platform Engineering team. You will run the machine: defining and upholding SLOs, leading incident response, and driving the automation and standards that let every the company engineer ship faster and more reliably. Because our systems directly influence the company outcomes for millions of patients, maintaining the highest standards of production quality is imperative. This is an automation-first role: you will use AI tools to continuously convert manual operational work into monitored, hands-free processes, so the role gets more leveraged as you build.

Where you will work

The company is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ.

What you will do

• Run the Machine: Own the end-to-end reliability, performance, and resilience of the company’s cloud environments (AWS, Kubernetes), including those powering AI/ML workloads; define, measure, and uphold SLOs across our critical services

• Lead Incident Response: Serve in the on-call rotation, lead incident response, and drive deep-dive root cause analysis, seeing corrective actions through to resolution and rigorously reviewing infrastructure changes

• Own Observability: Build and maintain the monitoring, alerting, and observability systems that let us detect and resolve issues before users feel them

• Scale & Optimize: Translate ambiguous, high-performance scaling requirements into well-defined, automated, and composable infrastructure-as-code deliverables (Terraform); proactively identify and implement cost-efficiency and performance gains across the stack to maximize cloud ROI

• Automate Away Toil: Pay down impactful tech debt and reduce operational toil, using AI tools and automation to convert repetitive operational work into hands-free, monitored processes, and holding our internal platform to the same rigorous standards as our customer-facing products

• Enable Engineering: Build and maintain the deployment and observability standards that empower the broader engineering team to ship AI features faster and more reliably; communicate complex cloud and reliability concepts clearly to technical and non-technical stakeholders

• Uphold Security & Compliance: Ensure our infrastructure and operations meet the company’s security and HIPAA compliance obligations

The ideal candidate has

• 4+ years of hands-on experience operating production cloud infrastructure at scale in an SRE, DevOps, or platform engineering role

• Deep expertise with Kubernetes and Terraform in a cloud-first environment (AWS preferred)

• A strong track record with production observability: defining SLOs, building monitoring and alerting, and leading incident response and blameless post-incident reviews

• Strong software engineering fundamentals in Python or Go, applied to infrastructure automation (experience with Kubernetes APIs a plus)

• Experience driving cloud cost-efficiency and performance optimization across compute, storage, and networking

• Experience supporting AI/ML or data-intensive workloads in production is a plus

• Experience operating in a security-conscious or regulated environment (HIPAA, SOC 2) is a plus

• Fluency with AI tools (e.g., Claude) applied to real engineering and operations workflows, or strong motivation to build it fast

• A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

Technologies we use

• AWS, Kubernetes, Terraform, Istio, Python, Go, TypeScript, Postgres, NATS, Datadog, GitLab

This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.

We are unable to sponsor or take over sponsorship of an employment visa at this time.

Compensation Transparency

The target range for this position is $191,000 - $226,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc the company and more.

Fraud and Security Notice

Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a the company recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to [link for members] .

Equal Employment Opportunity

The company is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive the company decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

The company is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at [link for members] .