Engineering Manager

Baker Charles

New York (NY)

On-site

USD 150,000 - 190,000

Full time

3 days ago
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Job summary

Baker Charles is partnering with a fast-growing healthtech company in New York seeking an Engineering Manager to lead a cross-functional team of 6–10 engineers. You’ll own delivery, team health and technical direction while collaborating with Product, Design, Clinical and Compliance to build secure, reliable software for patients and providers.

You’ll hire, mentor and scale the team, drive architecture discussions, and ensure high standards for security, HIPAA compliance and cloud

Qualifications

  • 7+ years of software engineering experience
  • 2+ years managing engineers directly
  • Hands-on background in modern stacks (TypeScript/Node.js, Python, Go or Java; React; AWS/GCP)
  • Track record of delivering complex products in a fast-paced startup or scale-up
  • Experience hiring, developing and keeping high-performing engineers
  • Strong communication skills and confidence working with technical and non-technical stakeholders
  • Good grasp of distributed systems, APIs and cloud infrastructure

Responsibilities

  • Lead, mentor and grow a team of full stack and backend engineers through regular 1:1s, feedback and career development
  • Own end-to-end delivery of your product area, from planning and scoping to release and iteration
  • Work with Product, Clinical and Compliance teams on roadmap priorities and trade-offs
  • Make sure systems meet high standards for security, privacy and regulatory compliance (HIPAA)
  • Drive engineering best practices across code quality, testing, CI/CD and system reliability
  • Hire top engineering talent and help shape the team as it scales
  • Contribute to architecture and technical design discussions

Skills

Engineering management
Full stack
Distributed systems
Cloud infrastructure
Stakeholder communication

Tools

TypeScript/Node.js
Python/Go/Java
React
AWS/GCP

Job description

We’re partnering with a fast-growing, well-funded healthtech company in New York. Top-tier investors back them, and they’re scaling quickly after a recent funding round. Their platform improves how patients get care and how providers deliver it, and they’re growing the engineering team to support the next stage of growth.

The Role

As Engineering Manager, you’ll lead a cross-functional team of 6–10 engineers who own a core part of the platform. You’ll be responsible for delivery, team health and technical direction. You’ll work closely with Product, Design, Clinical and Compliance teams to build products that are secure, reliable and easy for patients and providers to use.

Key Responsibilities
  • Lead, mentor and grow a team of full stack and backend engineers through regular 1:1s, feedback and career development
  • Own end-to-end delivery of your product area, from planning and scoping to release and iteration
  • Work with Product, Clinical and Compliance teams on roadmap priorities and trade-offs
  • Make sure systems meet high standards for security, privacy and regulatory compliance (HIPAA)
  • Drive engineering best practices across code quality, testing, CI/CD and system reliability
  • Hire top engineering talent and help shape the team as it scales
  • Contribute to architecture and technical design discussions
What You’ll Bring
  • 7+ years of software engineering experience, with 2+ years managing engineers directly
  • A strong hands‑on background in modern stacks (e.g. TypeScript/Node.js, Python, Go or Java; React; AWS/GCP)
  • A track record of delivering complex products in a fast-paced startup or scale-up
  • Experience hiring, developing and keeping high-performing engineers
  • Strong communication skills and confidence working with technical and non-technical stakeholders
  • A good grasp of distributed systems, APIs and cloud infrastructure
Nice to Have
  • Previous experience in healthtech or digital health
  • Knowledge of HIPAA, SOC 2 or similar compliance frameworks
  • Experience with healthcare data standards and integrations (HL7, FHIR, EHR systems)
  • Exposure to AI/ML or data-heavy products
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