Senior Software Engineer (Backend)

About the role

As Senior Software Engineer, Backend & Data, you will report to the VP of Engineering and own major parts of the system that turns EHR data from our health-system partners into results our partners can trust. The core of the role is backend, data, and EHR integration engineering on AWS. Our product is still taking shape, so you will also use AI tools to take on MLOps, infrastructure, and product engineering as the company needs, and help decide what we build next.

Engineering and Research work as one team, with shared code and pipelines from experimentation through deployment and shared accountability for how our models perform. You will not be expected to train AI/ML models, but you will work side by side with our data scientists on data mapping, evaluation, and model packaging.

Key Responsibilities

Build the Data and EHR Integration Platform

• Design, build, and operate secure, auditable pipelines on AWS that take partner EHR data from ingestion to model-ready tables and evaluated results, with PHI handled correctly at every step.
• Build and extend EHR integrations, starting with athenahealth's FHIR APIs, across new EHRs, data formats, and partner environments.
• Build AI-assisted tooling, together with our data scientists, that makes onboarding new partners and data sources faster and more repeatable.
• Lead technical go-lives with partner IT and data teams, and see issues through to resolution.

Flex Where the Company Needs You

• Infrastructure, DevOps, and security: infrastructure as code, CI/CD, monitoring, and the HIPAA and HITRUST controls our partners expect.
• ML and model operations: package, run, and monitor models in production, sharing accountability with Research for real-world performance.
• Product and full-stack: build the reports, dashboards, and clinician- and patient-facing products that our partners, patients, and care teams use.

Build the Engineering Foundation

• Set the engineering standards a growing team will inherit, and help hire and mentor the engineers who join next.
• Use AI coding agents and automation to multiply what a small team can do, with sound judgment about their use near PHI.

What success looks like

• In six months: New partner sites onboard through configuration rather than custom engineering, and you are a trusted technical counterpart for our partners.
• In twelve months: You have shaped the architecture of FL113's first products and the engineering practices a larger team will use.

How we work

• Purpose over preference. The company's mission comes first.
• Take initiative. Take responsibility. Clear outcomes and room to act, without needing approval for every step.
• Put evidence first. We let evidence change our minds, even when it complicates our story or delays a milestone.
• Speak honestly, move together. We choose candid challenge over smooth agreement, then support the decision.
• Work with joy and balance. We invest in relationships, celebration, and recovery.

What We Look For

• BS in Computer Science or a related field, or equivalent practical experience, and at least 7 years of professional software engineering experience building and operating production backend systems and data pipelines.
• Hands-on healthcare data experience, including EHR data, FHIR or HL7, clinical vocabularies such as LOINC, SNOMED, ICD, and RxNorm, and systems that handle PHI under HIPAA.
• Substantial production experience on AWS, and proficiency in Python and SQL.
• Experience running AI/ML systems in production, working in shared code and pipelines with data scientists or ML researchers.
• Daily use of AI coding agents and agentic workflows, while reviewing outputs and staying accountable for correctness, security, and privacy.
• Experience in an early-stage startup or a comparable zero-to-one environment, and an eagerness to work outside your core specialty as the company needs.
• Experience debugging hard problems across system boundaries, from a partner's EHR or data feed through to production.
• Clear communication with engineers, data scientists, clinicians, and partner IT teams.

What will make you an exceptional fit

• You have built EHR integrations with athenahealth, Epic, or similar systems, including SMART on FHIR or bulk FHIR exports.
• You have worked with infrastructure as code (CDK, Terraform, or similar), containers, and CI/CD, including AWS setups that keep sensitive data in its own isolated environment.
• You have built software under HITRUST, SOC 2, or FDA quality-system expectations.
• You have frontend or full-stack experience (for example, React and TypeScript).
• You have worked on integrated teams where engineers and data scientists share code, reviews, and responsibility for results.