Part-time Mobile Developer — GraphQL & REST Innovator

Energy Innovation Corp; Buffalo (NY); On-site; USD 46,000 - 74,000; Part time

Benefits offered by this job

Paid learning

Health coverage

Mentorship

Flexible Buffalo setup

Job summary

StartupEdge in Buffalo, NY is seeking a Mobile Developer to tackle hard GraphQL problems on a part-time basis. You’ll work with data teams to surface insights from production systems and help shape REST API architecture.

Bring 1+ years of hands-on technology experience, Selenium know-how, and the humility to revise opinions when data supports it. The role emphasizes collaboration, fast learning, and engineering excellence.

Qualifications

• Demonstrated ability to surface insights from production systems.
• Ability to manage competing priorities under tight deadlines.
• Around 1+ years of hands-on experience in a technology role.
• Humility to revise strong opinions when data arguments back them up.
• Solid Selenium grounding, plus the ability to pick up innovations quickly.
• Comfort being measured against a clear junior bar.

Responsibilities

• Work closely with data teams to surface insights from production systems.
• Spot the GraphQL anti-pattern in review before it spreads.
• Champion engineering excellence and continuous learning within StartupEdge.
• Sketch the REST API architecture, defend it in review, then build it.
• Wrangle MongoDB config across environments so Buffalo staging mirrors production.
• Shave milliseconds off the technology hot path that StartupEdge users feel every click.
• Pair Decision Making and REST API in a pipeline StartupEdge can extend later.

Skills

GraphQL

REST API

MongoDB

Selenium

Tools

Elasticsearch

Job description

StartupEdge in Buffalo, NY is seeking a Mobile Developer to tackle hard GraphQL problems on a part-time basis. You’ll work with data teams to surface insights from production systems and help shape REST API architecture.

Bring 1+ years of hands-on technology experience, Selenium know-how, and the humility to revise opinions when data supports it. The role emphasizes collaboration, fast learning, and engineering excellence.