Senior Site Reliability Engineer

Garner Health; New York (NY); Hybrid; USD 191,000 - 226,000; Full time

Job summary

Garner Health in the United States is seeking a Senior Site Reliability Engineer to own the reliability, performance, and resilience of our cloud infrastructure powering Garner's products and AI/ML workloads. This role sits on the Platform Engineering team and emphasizes automation to help engineers ship faster while maintaining high production quality.

This remote-friendly position offers hybrid work with occasional travel to NYC.

Qualifications

• 4+ years of hands-on production cloud infrastructure experience in SRE/DevOps.
• Deep expertise with Kubernetes and Terraform in cloud-first environments (AWS preferred).
• Strong observability track record: defining SLOs, building monitoring and alerting, and leading incident response and blameless post-incident reviews.
• Software engineering fundamentals in Python or Go for infra automation.
• Experience with AI/ML workloads in production is a plus.
• Experience operating in security-conscious or regulated environments (HIPAA, SOC 2) is a plus.

Responsibilities

• Own end-to-end reliability, performance, and resilience of Garner's cloud environments (AWS, Kubernetes) and SLOs.
• Lead on-call incident response and oversee deep-dive root-cause analysis with rigorous action follow-up.
• Build and maintain monitoring, alerting, and observability systems to detect and resolve issues before users are affected.
• Translate high‑level scaling needs into automated, IaC deliverables (Terraform) and optimize cloud cost and performance.
• Automate away toil using AI tools and standardized processes across platforms.
• Enable engineering by maintaining deployment/observability standards and communicating complex concepts clearly.
• Uphold security and HIPAA compliance across infrastructure and operations.

Skills

SRE/DevOps

Kubernetes

Terraform

Python/Go

Observability

Incident response

Cloud cost optimization

AI/ML workloads

Tools

AWS

Datadog

GitLab

Istio

Postgres

Job description

What you'll be part of

Garner 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.

What you'll be part of

Garner 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.

About the role

We are seeking a Senior Site Reliability Engineer to own the reliability, performance, and resilience of the cloud infrastructure powering Garner'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 Garner engineer ship faster and more reliably. Because our systems directly influence health 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

Garner 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 Garner'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 Garner'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 Health 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 Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to [e-mail].

Equal Employment Opportunity

Garner Health 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 health 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.

Garner Health 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 [e-mail].