Senior Software Engineer (Backend)

Flagshippioneeringinc; Cambridge (MA); On-site; USD 140,000 - 210,000; Full time

Job summary

FL113, a fast-moving AI diagnostics company, is seeking a Senior Software Engineer, Backend & Data, to own core backend systems that transform EHR data from health-system partners into trustworthy results. You will work mainly on AWS, data pipelines, and integration with EHR formats like FHIR, while collaborating with data scientists on production-ready solutions.

We value hands-on engineers who can ship secure, scalable systems, practice HIPAA controls, and mentor growing teams in a zero-to-one

Qualifications

• BS in Computer Science or related field, or equivalent practical experience.
• 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, RxNorm, and PHI under HIPAA.
• Substantial production experience on AWS, and proficiency in Python and SQL.
• Experience running AI/ML systems in production, working with data scientists or ML researchers.
• Experience in a startup or zero-to-one environment, and willingness to work outside core specialty as needed.
• Clear communication with engineers, data scientists, clinicians, and partner IT teams.

Responsibilities

• Build the Data and EHR Integration Platform on AWS, creating secure, auditable pipelines from ingestion to model-ready outputs.
• Extend EHR integrations starting with athenahealth’s FHIR APIs across new EHRs and data formats.
• Develop AI-assisted tooling with data scientists to accelerate onboarding of partners and data sources.
• Lead technical go-lives with partner IT and data teams, ensuring issues are resolved and expectations met.

Skills

Back-end engineering

AWS

Data pipelines

Python

EHR data

HIPAA security

CI/CD

SQL

Education

BS in Computer Science or related field

Tools

CDK

Terraform

Docker

Kubernetes

Job description

Who we are FL113 is a fast-moving AI diagnostics company with a bold ambition: to define the future of pre-emptive and proactive care. We are building products that help uncover disease before it becomes visible, equip patients and care teams with earlier insight, and enable meaningful intervention before disease advances and causes irreversible harm. Our team brings together ML researchers, serial entrepreneurs, and clinical experts, united by a common commitment to make proactive care a reality. FL113 is part of the Flagship Pioneering ecosystem, a premier venture-creation platform recognized twice on FORTUNE’s “Change the World” list and twice on Fast Company’s list of the World’s Most Innovative Companies. Flagship creates companies at the frontier of science and technology, bringing together founders, operators, and investors to take bold leaps on consequential problems and turn breakthrough ideas into enduring businesses. Join an exceptional team and help shape the future of AI and healthcare.

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.

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.

ABOUT FLAGSHIP PIONEERING

Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies have addressed hu