We're hiring a Staff Platform Engineer to build the foundations that let every product squad at Gridsight ship faster and with greater confidence. You'll work across the engineering organisation — identifying the cross-cutting problems that slow squads down and solving them once, well. That might be observability, deployment pipelines, environment management, test infrastructure, or emerging areas like AI-assisted developer tooling. Wherever the leverage is, that's where you'll be. 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 Identify and solve the cross-cutting platform problems that prevent product squads from shipping faster and with confidence Build and operate observability platforms — metrics, tracing, logging, alerting — that give product teams and on-call engineers clear, actionable visibility into system health Evolve our deployment automation, release management, and infrastructure-as-code; tackle environment management and test infrastructure head-on to reduce lead time and tighten CI feedback loops Architect infrastructure that's secure, cost-effective, and scalable across multi-tenant, multi-region deployments — and proactively pay down tech debt before it bites Bring platform engineering standards into our data layer (dbt, Databricks): CI/CD, automated testing, environment promotion, observability Act as a culture carrier for platform and reliability engineering — mentoring engineers across squads, sharing patterns, and shifting how the broader engineering organisation thinks about reliability and developer experience Treat internal developers as customers: seek feedback, measure satisfaction, iterate on tooling based on real friction What You'll Bring 6 years of software engineering experience with demonstrated impact at Staff level in platform, infrastructure, or SRE domains Deep cloud infrastructure experience at production scale — compute, networking, storage, IAM, cost management — with strong infrastructure-as-code and container orchestration skills (AWS and Terraform preferred) Proven track record building and operating observability platforms (metrics, tracing, logging, alerting) at meaningful scale Strong software engineering fundamentals: clean architecture, testing, version control, code review A track record of defining systems and practices, not just working within them — you set technical direction, form strong opinions grounded in experience, and drive outcomes without close direction Demonstrated experience as an enabling function within a product engineering organisation — reducing cognitive load on product teams, building capabilities they adopt willingly, and knowing when to consult, guide, or step back Fluency in AI-assisted development tooling — you're already using agentic coding tools or LLM-assisted workflows to accelerate your work What Would Set You Apart SRE background: SLOs, error budgets, incident management, chaos engineering, war games Experience building internal developer platforms or PaaS capabilities with a strong focus on DX Familiarity with data platform technologies (Databricks, Spark, dbt) and their infrastructure requirements Experience with authentication and identity patterns (Auth0, Azure AD, SAML/SSO, OIDC) in multi-tenant environments Contributions to open-source projects or technical communities Experience in energy, utilities, or infrastructure technology 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