Software Engineering Manager

    • ICONSTAFF
  • Cambridge, MA
  • Posted 10 days ago | Updated moments ago

Overview

On Site
$160,000 - $220,000
Full Time

Skills

Software engineering
Real-time
UI
Team leadership
Agile
Technical direction
IMPACT
Collaboration
Cross-functional team
Regulatory affairs
Strategy
Recruiting
Computer science
Science
Research
Software development
Startups
Leadership
Management
Cloud computing
Microservices
Communication
Medical devices
Health care
Computer vision
Data
Electronic Health Record (EHR)
Genomics
Biometrics
Machine Learning (ML)

Job Details

Job Description

Job Description

Our clients mission it to empower doctors with real time diagnostic tools to improve patient outcomes. They are looking for an experienced manager for their platform engineering team.The successful candidate will be part of the engineering leadership team and manage a group of frontend, backend and data engineers. Please come with a track record of leading teams in a scaling agile software development organization.

Responsibilities:

Own the technical direction and impact of their team

Collaborate with a cross functional team that include Product, Machine Learning, Clinical, and Regulatory affairs

Work with direct reports to understand their motivations and develop their career paths

Formulate an effective strategy for recruiting and retaining high performing and collaborative engineers

Requirements:

Graduate Degree in computer science or other quantitative fields, or Bachelor of Science with similar practical experience in an industrial or research setting.

Previous experience working in software development

Experience working in startup environments

Previous experience leading or managing engineering teams

Cloud computing systems with microservices or data pipelines

Excellent verbal and written communication skills, including the ability to describe complex technical concepts to colleagues with varying degrees of technical background

Experience in the medical device or healthcare industry preferred

Knowledge of computer vision tasks including detection, segmentation, and classification a plus

Experience working with more data types (e.g. EMR, genomics, biometrics, images) a plus

Experience deploying machine learning models to production preferred



Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.