Senior Software Engineer- Enrichment at RevSpring

Upper Providence Township, Pennsylvania, United States -

Full Time

Start Date

Immediate

Expiry Date

15 Jun, 26

Salary

0.0

Posted On

17 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, BigQuery, GCP, AWS, Pulumi, LangChain, LangGraph, TypeScript, React, Docker, Git, OOP, NoSQL, Relational Databases, AI-Powered Systems, Data Enrichment

Industry

Information Technology & Services

Description

Job Title: Senior Software Engineer- Enrichment Job Summary: As a Senior Software Engineer on the Enrichment team, this role works closely with fellow software engineers to design AI-powered systems that augment existing data and derive new insights from the data the platform already manages. Essential Functions: * Design and maintain our AI-powered provider data enrichment engines * Architect new solutions that integrate with 3rd-party data sources to augment our internal data stores * Use AI-assisted development workflows to produce high-quality code and tests * Analyze, review, and provide constructive feedback for peer engineers’ technical solutions * Participate in vetting requirements, writing technical specs and documentation, and creating technical diagrams * Tech Stack : Python · BigQuery · GCP · AWS · Pulumi · LangChain/LangGraph · TypeScript · React · Docker · Git Minimum Requirements: Specific Job Skills: * Experience with TypeScript/React for frontend development * Hands-on with Docker and cloud infrastructure (Either GCP or AWS preferred) * Understanding of networking fundamentals and security best practices * Past experience dealing with messy, real-world data at scale and have opinions about how to handle it * Past experience thinking about performance implications before they become problems * Past experience explaining complex technical tradeoffs to non-technical stakeholders * Past exeperience writing code that other engineers can easily maintain Education: Bachelor’s degree Experience: * 5+ years building production software with Python (strong OOP fundamentals) * 5+ years with relational and NoSQL databases * 5+ years collaborating with Git in team environments Supervision: N/A Certifications: N/A Language Skills: Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources. Physical Capabilities: Standard categories The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Note: This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.

Responsibilities

This role involves designing and maintaining AI-powered provider data enrichment engines and architecting new solutions to integrate third-party data sources to augment internal data stores. Engineers will also use AI-assisted workflows to produce high-quality code and provide constructive feedback on peer technical solutions.