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Gridsight

AI-powered utility grid capacity management

Staff Infrastructure Platform Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedRemote

About the Job

Requirements

  • Approximately 8 or more years of software engineering experience, with recent work at Staff level or clear evidence of operating at that level in platform, infrastructure, or site reliability engineering.
  • Deep experience running cloud infrastructure in production, including compute, networking, storage, identity and access management, and cost management, with strong infrastructure-as-code skills; AWS and Terraform are preferred.
  • A track record of building and operating observability platforms that teams rely on.
  • Hands-on site reliability engineering practice, including service-level objectives, error budgets, incident response, and runbooks.
  • Experience on a platform team in a product engineering organisation, running the platform as a product that teams willingly adopt.
  • Strong software engineering fundamentals and a habit of setting direction and driving outcomes without close supervision.
  • Fluency in using AI-assisted development tools, such as agentic coding tools or large language model-assisted workflows.
  • Cloud architecture knowledge on AWS, including networking, compute, storage, security, and cost optimisation.
  • Knowledge of infrastructure-as-code design and lifecycle, ideally Terraform.
  • Knowledge of containers and orchestration, including ECS, and the deployment patterns around them.
  • Knowledge of continuous integration and continuous delivery pipeline design and release strategies such as blue-green, canary, and progressive delivery.
  • Knowledge of observability systems, including metrics, distributed tracing, log aggregation, and alerting.
  • Knowledge of security fundamentals, including identity and access management, network segmentation, and secrets management.
  • Knowledge of multi-tenant software-as-a-service infrastructure patterns.

Responsibilities

  • Build and run the metrics, tracing, logging, and alerting platform, and establish patterns that enable teams to own their observability over time.
  • Evolve and consolidate deployment pipelines, release management, and infrastructure-as-code; own environment management and test infrastructure to shorten lead times and improve continuous integration feedback.
  • Design secure-by-default, cost-effective infrastructure suitable for multi-tenant, multi-region delivery across Australia, New Zealand, and the United States.
  • Work with IT Operations to build SOC 2 controls and evidence into the platform so teams meet compliance requirements by default.
  • Help define service-level objectives and error budgets, improve incident response and learning practices, and participate in the on-call rotation.
  • Identify friction for internal engineers, measure their satisfaction, and build tools and abstractions they choose to adopt.
  • Use AI-assisted development tooling to accelerate delivery and increase the output of a small team.
  • Mentor engineers across teams and improve organisational practices for reliability, operability, and developer experience.
  • Run the platform as a product with clear interfaces, documentation, and support so teams can self-serve.
  • Help set technical direction for platform work across teams and own a multi-quarter platform roadmap in collaboration with engineering leadership.
  • Shape decisions through written proposals and by bringing other teams along.
  • Identify high-leverage problems independently.
  • Define systems and practices that other teams work within.
  • Help shape the Infrastructure Platform team's initial roadmap and its engagement with product teams.

Desired Qualifications

  • Experience scaling observability at high data volumes.
  • Experience building internal developer platforms or self-service tooling with a strong developer experience focus.
  • Familiarity working with data-intensive systems and environments.
  • Familiarity with authentication and identity in multi-tenant software-as-a-service, including Auth0, Azure Active Directory, Security Assertion Markup Language/single sign-on, or OpenID Connect.
  • Experience with security and compliance work such as SOC 2, or in highly regulated environments.
  • Familiarity with resilience practices such as chaos engineering or game days.
  • Experience in energy, utilities, or other critical infrastructure domains.
  • Open-source contributions, conference talks, or technical writing.

About the Company

Gridsight

AI-powered utility grid capacity management

Gridsight is an AI-powered capacity-management platform for electric utilities that converts fragmented network data into a Foundational Grid Model tailored to each utility, so operators can identify where latent capacity exists and connect new load without building new infrastructure. It blends electrical physics with AI agents to support real-time hosting capacity, solar export management, and distribution planning. Unlike generic grid software, Gridsight delivers a utility-specific model that directly informs where and when to add capacity, enabling dynamic control over rooftop solar exports and faster planning. Its customers include Endeavour Energy, Xcel Energy, and United Illuminating. The company aims to expand its US footprint while continuing growth in Australia and other markets, supported by fundraising to accelerate expansion.

Company size
51-200
Company stage
Series B
Total funding
$28.2M
Headquarters
Wollongong City Council, Australia
Founded
2020

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