Own the end-to-end lifecycle of internal tools, from initial design and rapid prototyping to launch, iteration, and transition to steady-state ownership.
Embed with internal teams to identify friction points and translate business requirements into technical designs that reduce operational risk.
Drive adoption through the creation of lightweight training materials and hands-on enablement for new system implementations.

Requirements

Experienced in software engineering
AI-Augmented Development: Proven expertise using AI-native IDEs (e.g., Cursor, Windsurf, Claude Code) and LLMs to accelerate development
Modern Tooling: Deep familiarity with RESTful APIs, Git, CI/CD pipelines, and Agile methodologies.
Data Foundations: Solid understanding of SQL/NoSQL databases, data modeling, and structured data management.
Degree in Computer Science, Engineering, or equivalent practical experience

Benefits

bonuses
equity
benefits package

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

software engineeringAI-native IDEsRESTful APIsGitCI/CD pipelinesAgile methodologiesSQL databasesNoSQL databasesdata modelingstructured data management

Soft Skills

communicationcollaborationproblem-solvingtrainingenablement