Environmental Software Engineer — Hybrid, Mid-Level

Energy Innovation Corp

South Bend (IN)

Hybrid

USD 68,000 - 95,000

Full time

14 days+

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Benefits offered by this job

Hybrid work arrangement
Full benefits

Job summary

Energy Innovation Corp is seeking an Environmental Engineer for a hybrid role in the United States. The position offers $68,000–$95,000 annually, full benefits, and room to grow your TypeScript and Node.js skills while shaping the company’s engineering roadmap.

You will hunt latency spikes, participate in on-call rotations, build dashboards in TypeScript, create tooling in Node.js, own the Unit Testing release, and optimize performance and resource usage at scale.

Qualifications

  • Detail-oriented approach with a commitment to accuracy.
  • Written communication clear enough to survive a forwarded email chain.
  • 3 years of learning when to trust the process and when to break it.
  • Comfort working in a fast-paced, quietly-relentless environment.
  • Comfortable owning projects from concept through delivery.
  • At least 4 years building expertise within the technology space.

Responsibilities

  • Hunt down the latency spikes nobody at Apple can explain
  • Respond to on-call rotations and participate in incident postmortems
  • Build TypeScript dashboards so Apple's technology team stops asking engineers for numbers
  • Build the Node.js tooling that makes every other South Bend engineer faster
  • Own the Unit Testing release that South Bend leadership has circled on the calendar
  • Optimize application performance, latency, and resource utilization at scale

Job description

Energy Innovation Corp is seeking an Environmental Engineer for a hybrid role in the United States. The position offers $68,000–$95,000 annually, full benefits, and room to grow your TypeScript and Node.js skills while shaping the company’s engineering roadmap.

You will hunt latency spikes, participate in on-call rotations, build dashboards in TypeScript, create tooling in Node.js, own the Unit Testing release, and optimize performance and resource usage at scale.

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