Engineering Manager

What you'll do:

Architect and implement backend services that interface with Postgres and Databricks to support business verticals, ensuring scale, reliability, and maintainability. Write production-grade code and lead by example.
Design and oversee data adapters to integrate with external imaging facilities, payers, and TPAs, adhering to health data standards (FHIR/HL7, DICOM)
Conduct rigorous code reviews, set coding standards, and foster engineering best practices to ensure high-quality, secure, and compliant codebases.
Design systems for reliability and graceful degradation as we scale from thousands to millions of orders. Extend considerations of fault-tolerance, error reporting, and load and stress testing to existing and new services. Establish recovery strategies and observability standards.
Write clear engineering documentation that outlines architecture choices, technical milestones, and steps required to achieve epic/feature/service goals.
Mentor backend and full-stack engineers, sharing tools and approaches to improve problem-solving. While mentorship is expected, the majority of your time will be spent coding and architecting systems.
Partner with Product to translate business goals into efficient, value-driven technical solutions. Ensure tradeoffs are explicit and that the solution is optimized for the problem, pushing back on instances of incorrect scoping of a solution as needed providing the relevant evidence.
Collaborate with DevOps to embed CI/CD, observability, security, and cost-transparency into every service.
About you:

B.S./M.S. in Computer Science, Engineering, or related field, or equivalent industry experience.
8+ years of backend engineering experience with production level software development and architectural responsibilities.
Strong expertise in Python, TypeScript/Node.js, PostgreSQL.
Proven ability to design fault-tolerant, high-availability distributed systems and contribute hands-on in codebases.
Hands-on experience with healthcare data standards (FHIR, HL7, DICOM) and compliance frameworks (HIPAA, SOC-II).
Demonstrated ability to mentor engineers without direct management responsibilities.
Excellent communication skills with the ability to influence both technical and non-technical stakeholders.
Familiarity with cloud infrastructure (AWS preferred: S3, Fargate, App Runner, Route 53).
Experience with CI/CD pipelines, observability platforms, and cost optimization.
Experience with data pipelines and integrations with our Databricks layer (file ingestion, and BI integration), or equivalent large-scale data platforms.
Familiarity with DICOM operations, processing, and interfacing with PACS systems
Background in healthtech, insurance tech, or other regulated industries.
Exposure to multi-agent systems (e.g., LLMs, OCR) to streamline workflows.

Skills Required
8+ years of backend engineering experience
Strong expertise in Python, TypeScript/Node.js, PostgreSQL
Hands-on experience with healthcare data standards (FHIR, HL7, DICOM)
Excellent communication skills
Experience with CI/CD pipelines and observability platforms