Software Engineering Manager #ESF7227

COA Network Inc; Menlo Park (CA); Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Comprehensive salary and benefits

Career advancement opportunities

Supportive team environment

Job summary

A leading health care provider in Menlo Park, CA is looking for an Engineering Manager to drive the delivery of production-grade APIs and AI/ML-enabled services. The ideal candidate will have strong hands-on experience with Python and/or Node.js, along with substantial experience in healthcare and API-heavy environments. You'll serve as the technical anchor for a dedicated team and be responsible for shaping secure, compliant systems that enhance care for seniors. The position offers competitive compensation and career advancement opportunities.

Qualifications

• 8+ years in software engineering, with 3+ years in team leader or senior capacity.
• 2+ years hands-on experience with AI/ML and Azure AI Foundry.
• Strong experience with Python/Node.js for API engineering.
• Strong Python and/or Node.js for API engineering and data integrations; Azure tools stack knowledge.
• Healthcare/interoperability or API-heavy environments.
• REST/GraphQL API design, microservices, OAuth2/JWT/Entra ID, and event-driven architectures.
• Familiarity with MLOps tools (Azure ML, MLflow, Databricks) and container ecosystems.
• Interoperability standards such as FHIR, HL7, EDI, or clinical workflows.

Responsibilities

• Drive delivery of production-grade APIs and AI/ML-enabled services.
• Serve as technical anchor for a dedicated engineering team.
• Architect solutions and mentor engineers to ensure engineering excellence.
• Shape secure, compliant, production-grade systems that power care for vulnerable seniors.
• Make decisions that directly affect healthcare delivery, compliance, and participant outcomes.

Skills

Python

Node.js

AI/ML

API engineering

Microsoft Azure tools

REST/GraphQL API design

MLOps tools

Education

Bachelor’s degree in a relevant field

Master’s degree preferred

Tools

Python

Node.js

Microsoft Azure

Azure AI Foundry

MLflow

Databricks

REST API

GraphQL

OAuth2 / JWT / Entra ID

FHIR / HL7 / EDI

Job description

Overview

Our client provides full-service health care and personalized support to help you age well at home and in your community.

Stable company with tremendous opportunity for career advancement. Have your contributions recognized. Work with an experienced and energetic team. Comprehensive, lucrative salary and benefits.

Top reasons to work for our client

• Our client provides full-service health care and personalized support to help you age well at home and in your community.
• Stable company with tremendous opportunity for career advancement
• Have your contributions recognized
• Work with an experienced and energetic team
• Comprehensive, lucrative salary and benefits

Job Details

Job Type: Full Time

Location: Menlo Park, California (Remote)

Pay: Good pay and benefits!

Job Description

What you will be doing: Engineering Manager

• Drive the delivery of production-grade APIs, integrations, and AI/ML-enabled services within the Interoperability & API Engineering team.
• Serve as the technical anchor for a dedicated team while enabling broader organizational scaling.
• Architect solutions, mentor engineers, build proof of concepts (PoCs), enforce engineering excellence, and ensure secure, compliant, scalable, and high-performing systems aligned with healthcare and organizational standards.
• Shape secure, compliant, production-grade systems that power care for vulnerable seniors.
• Make decisions that directly affect healthcare delivery, compliance, and participant outcomes.

Experience you will need

• Bachelor’s degree in a relevant field; master’s degree preferred.
• Minimum of eight (8) years in software engineering, with at least three (3) years in a team leader or senior engineering capacity.
• Minimum of two (2) years of hands-on experience with AI/ML, Azure AI Foundry, AI Foundry agents, or related AI integration frameworks.
• Strong hands-on experience with Python and/or Node.js for API engineering and data integrations; knowledge of Microsoft Azure tools stack is a must.
• Prior experience in healthcare, interoperability, or API-heavy environments is a must.
• Proficiency in REST/GraphQL API design, microservices patterns, authentication/authorization (OAuth2, JWT, Entra ID), and event-driven architectures.
• Familiarity with MLOps tools (Azure ML, MLflow, Databricks) and container ecosystems.
• Experience with interoperability standards such as FHIR, HL7, EDI, or clinical integration workflows is highly preferred.