Product & Platform Development

• Design, implement, and operate backend services (APIs, job runners, data pipelines) for ingestion, curation/labeling, enrichment and data access.
• Iterate quickly with Product to deliver high-quality increments; write well-tested, maintainable code.

Architecture & Reliability

• Own service architecture and data models; drive scalability, performance, and operability.
• Define and meet SLOs; build robust observability (distributed tracing, metrics, alerting).

Security, Privacy & Compliance

• Build privacy-first systems for PHI handling (access controls, encryption, audit trails) aligned with HIPAA and industry best practices.
• Partner with leadership to advance SOC2-ready practices (change management, CI/CD controls, incident response runbooks).

Data & Interoperability

• Implement and evolve healthcare data integrations (FHIR/HL7, DICOM where relevant), mapping and validation, and versioned schemas.
• Champion data quality: idempotency, lineage, reproducibility, and clear SLAs for data services.

Collaboration & Technical Leadership

• Work closely with AI/ML to productionize models via stable interfaces and evaluation hooks.
• Contribute to engineering standards, design docs, and code reviews; mentor peers and elevate the team’s bar.

Operational Excellence

• Optimize system reliability, performance, and cost efficiency.
• Implement processes and tools that scale with the platform and team.
• Monitor engineering metrics to ensure uptime, performance, security and cost-efficiency.

Customer-Centric Development

• With guidance from the VP of Engineering, build secure, compliant, and high-trust systems to meet the unique needs of healthcare providers.
• Advocate for and build ethical AI practices.
• Ensure our AI solutions prioritize patient privacy and data security standards.

Qualifications Must-Haves

• 7+ years of backend or platform engineering experience (or equivalent impact) building cloud-native services at scale.
• Proven ability to design APIs and data models, reason about distributed systems, and ship high-quality services end-to-end.
• Hands-on experience with reliability engineering (SLOs, alerting), secure coding, and production operations.
• Strong communication: clear design docs, thoughtful trade-offs, and collaborative execution with product/AI partners.

Nice-to-Haves

• Healthcare domain experience: FHIR/HL7, DICOM, healthcare data privacy.
• Security & compliance exposure: HIPAA safeguards, SOC 2 practices, audit logging.
• Experience with ML/AI in production (batch/online inference, evaluation, safety/ethics).
• Early-stage experience and bias to action; ability to thrive with autonomy and ambiguity.

Why Join Nimblemind.ai?

• Be part of a mission-driven company shaping the future of healthcare.
• Lead the development and design of groundbreaking products.
• Collaborate with a world-class team of healthcare and technology innovators.
• Competitive compensation package, including equity in a fast-growing startup.