Senior/Staff Software Engineer (AI)

Posted 23 Days Ago
Be an Early Applicant
4 Locations
In-Office or Remote
Senior level
Utilities
World-leading visibility and flexibility
The Role
Design, build, and ship end-to-end features across the grid analytics platform; collaborate with product and data teams; use AI-assisted development tools to accelerate delivery; ensure code quality, testing, observability, and iteration in production.
Summary Generated by Built In

Electricity grids are undergoing the most significant transformation in a century. The shift to renewables, the proliferation of rooftop solar, batteries, and EVs, and the increasing complexity of distribution networks are forcing utilities to operate their grids in fundamentally new ways.

Gridsight builds the data engine that makes this possible. We're already embedded with most of Australia's major distribution networks and have contracts with some of the largest investor-owned utilities in the United States. We're well-funded, growing quickly, and positioned at the centre of a global shift toward dynamic grid management.

The Role

We're hiring a Senior or Staff-level Software Engineer to join our engineering team and help build the next generation of our platform.

You'll work across the stack, owning features end-to-end - from understanding the problem through to shipping and iterating in production. The work spans our grid analytics platform: building the software that helps utilities understand, operate, and optimise their networks as the energy transition accelerates.

We're building an engineering culture where AI-assisted development is the norm, not the exception. We expect our engineers to be actively using agentic coding tools and LLM-assisted workflows to move faster, think bigger, and deliver more. If you're already working this way - or you're the kind of engineer who's itching to - you'll fit right in.

What You'll Do
  • Build and ship high-impact software features across the Gridsight platform
  • Own features end-to-end: from understanding the problem through to shipping and iterating in production
  • Make sound trade-offs between speed, quality, and scope to maximise product outcomes
  • Collaborate with product, data science, and data engineering to shape how our platform evolves
  • Leverage AI-assisted development tooling to accelerate delivery and raise the bar on what a small team can ship
  • Contribute to engineering culture: code quality, testing, observability, and knowledge sharing
What You'll Bring
  • 4–8+ years of software engineering experience with a track record of delivering impact at Senior or Staff level
  • Strong engineering fundamentals: clean architecture, testing practices, code review, CI/CD — in service of shipping things that matter
  • Experience shipping user-facing product features in production
  • Fluency in the use of AI-assisted development tools — you're already using agentic coding tools, LLM-assisted workflows, or similar to accelerate your work
  • Strong ownership and a bias to action — you take things from idea to working software without waiting to be told
What Would Set You Apart
  • Experience building LLM-integrated product features in production
  • Frontend development experience with modern frameworks (React or similar)
  • Experience in energy, utilities, or infrastructure technology
  • Distributed systems or data engineering experience
What We Offer
  • Competitive salary and equity package
  • Remote-first, with head office in Sydney
  • A talented team of engineers, data scientists, and power systems specialists working on hard problems that matter

Top Skills

Agentic Coding Tools
Ai-Assisted Development Tools
Ci/Cd
Data Engineering
Distributed Systems
Llms
Observability
React
Testing
Am I A Good Fit?
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The Company
HQ: Sydney, New South Wales
49 Employees
Year Founded: 2020

What We Do

Gridsight is a fast-growing GridTech startup accelerating the global transition toward electrification and decarbonisation. Our AI-powered SaaS platform generates insights to ensure electrical utilities maximise reliability, modernise and optimise operations, and integrate renewable energy sources seamlessly into the grid.

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