Lead Software Engineer - AI Coding

NYU Langone Health•New York, NY

2d•$121,792 - $166,950•Onsite

About The Position

We have an exciting opportunity to join our team as a Lead Software Engineer - AI Coding. As a Lead Software Engineer in AI Coding, you will be responsible for creating software applications using advanced AI coding tools and techniques. You will play a crucial role in the design, development, and maintenance of our custom software development projects. Your expertise will ensure the successful delivery of high-quality, scalable, and secure web solutions.

Requirements

BS or MS in engineering or computer science related discipline or equivalent experience.
8+ years of building custom software solutions using at least two modern, object-oriented programming and/or scripting languages using a web application framework.
2+ years serving as a tech lead on a team directing engineering efforts, delegating work and serve as a liaison to a team of engineers (both onshore and offshore) to accomplish sprint goals.
Expert knowledge of web technologies including HTTP 2, TLS encryption, caching, web browsers, cookies, http headers, html ,javascript and CSS (web only).
Expert knowledge of using at least one advanced AI coding tool using spec driven development (SDD) and building harnesses for coding agents.
Expert knowledge of the Unix operating system (RHEL/Centos, Ubuntu).
Expert knowledge of GIT version control including using branches, code reviews, tags, etc.
Expert knowledge of using Unit testing frameworks and experience writing unit tests as part of the development process.
Expert Knowledge of agile scrum methodology and experience working on a scrum team.
Expert knowledge of relational database technologies designing normalized relational schemas, creating schemas, indexes, writing sql queries and troubleshooting performance issues (web and service).
Expert knowledge of creating REST APIs and REST standards using standard tools that automatically create API documentation (web and service).
Full stack development capabilities - Expert knowledge of both front end (HTML, CSS, Javascript, React) and backend (Python, PHP) scripting languages for feature development, unit testing, instrumentation and debugging.
Expert troubleshooting capabilities.
Working knowledge of one cloud computing platform creating cloud-based infrastructure and managing with infrastructure as code tools (web and service).
Working knowledge of devops tools creating code pipelines using Jenkins (or equivalent) to automatically deploy and validate deployments(web and service).
Working knowledge of test automation tools and ability to integrate testing into pipelines. Types of tests include functional, service, contract and networking failure mode.
Ability to troubleshoot and resolve production issues application, networking and OS level and provide Teir 2 production support.
Positive and growth-oriented mindset. Flexible personality, comfortable with collaboration, open communication and reaching across functional borders.
Verbal and oral communication skills. Ability to collaborate with team members to complete team goals.

Nice To Haves

None.

Responsibilities

Use AI coding tools to create source code as required to implement features as assigned during sprint planning activities.
Develop test harnesses and quality gates for AI generated code.
Perform production deployments as needed.
Participate in daily standups and scrum ceremonies estimating story points for requested work.
Provide support and guidance for junior developers and offshore engineers.
Implement code with best practices for operational support error handling, logging, graphing of key metrics, graceful failure, tuning timeouts appropriately.
Lead, direct, delegate work and serve as a liaison to a team of engineers (both onshore and offshore) to accomplish sprint goals.
Encourage adherence to standards & best practices - graceful failure, security, unit testing, devops, instrumentation drive the build to operate strategy.
Encourage and facilitate continuous improvement strategies to improve operational viability and overall maturity of custom software products based on published maturity model.
Evaluate tools and technologies and provide analysis and recommendations.
Participate in a 24x7x365 on-call rotation. Provide support as needed during production outages off-hours.