Staff Platform Engineer

Gridsight; United States; Remote; USD 170,000 - 260,000; Full time

Benefits offered by this job

Remote-first

Equity package

Head office in Sydney

Job summary

Gridsight in the United States is hiring a Staff Platform Engineer to build foundations enabling product squads to ship faster and with confidence. You will tackle cross-cutting platform problems, from observability to deployment pipelines, across the engineering org.

You’ll mentor engineers, shape DX, and promote AI-assisted tooling. Experience with cloud infra, IaC, and multi-region deployments is valued. We offer remote-first work and an equity package.

Qualifications

• 6+ years of software engineering with platform/infrastructure focus.
• Strong cloud infra experience at production scale (AWS, IAM, networking).
• Experience building and operating observability platforms.
• Solid fundamentals in clean architecture, testing, and code review.
• Proven ability to define systems and drive outcomes across teams.

Responsibilities

• Identify and solve cross-cutting platform problems to speed shipping.
• Build and operate observability platforms with metrics, tracing, logging, alerts.
• Evolve deployment automation and infrastructure-as-code; improve CI/CD.
• Architect secure, cost-efficient, multi-tenant, multi-region infrastructure.
• Align data layer tooling (dbt, Databricks) with CI/CD and observability.
• Act as a culture carrier for platform reliability and DX.
• Treat internal developers as customers; gather feedback and iterate tooling.

Skills

Cross-team collaboration

6+ years software engineering

Cloud infrastructure

IaC (Terraform)

Observability platforms

AI-assisted development tooling

AWS

Kubernetes

Tools

AWS

Terraform

Kubernetes

Job description

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