Job Description

We're looking for a mid-to-senior full stack engineer to help us build the platform that gets Australian businesses to audit-ready climate disclosure.

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Our engineers are at the forefront of technology, they use the latest models and direct coding agents every day, and we're rebuilding how we work around that.

Highlights n

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- Join a small engineering team building a product that is disrupting how mid market Australian organisations are reporting on climate.
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- Own an area of our Compliance Hub - the product our clients live in during reporting season
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- Agentic development is the default here, not an experiment you have to justify. We are constantly testing and learning with the latest technology
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- Package includes salary + stock options
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- Sydney hybrid - home, our Sydney office, or the coffee shop in between. We require all team members to come into the office 1 day per week.
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- Regular contact with the founders and a direct line to the people making the decisions
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- Reporting directly to the CTO.
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- Work with purpose: help Australian business actually understand and action climate risk, not just talk about it
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Location: Sydney, hybrid

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- Full time
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- Reporting to our Engineering Lead
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Hey there, great to meet you!

About Trace n

Australia's largest companies now have to report their climate risk and emissions under the Australian Sustainability Reporting Standards (ASRS), to a standard their auditors will sign off on. Most of them are not ready.

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Trace exists to make that possible. We combine AI-powered technology with expert consulting so businesses can produce audit-ready climate disclosures without hiring an army of consultants.

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We're a VC-backed Australian climate tech company, and we're currently growing faster than at any point in our history. The regulation is only getting broader from here.

How we build n

We're honest about this bit because it shapes the job.

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Our platform is a Compliance Hub plus a growing set of AI agents that run end-to-end reporting workflows - the kind of work that used to take a consultant weeks. So the way we build mirrors the thing we're building. Agentic workflows are a normal part of daily execution here, well beyond autocomplete.

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Our stack is .NET 9 on AWS Lambda for the backend, Angular (TypeScript, RxJS) on the front end,



and Postgres on Aurora Serverless v2 underneath it all with API Gateway, Step Functions, SQS/SNS/EventBridge, OpenSearch and ElastiCache (Valkey) rounding out the serverless side, Cognito for auth, and Bedrock powering our in-product AI agents. Infrastructure is all Terraform, CI/CD runs through Bitbucket Pipelines, and EF Core is our ORM of choice on the .

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NET side. You don't need hands-on experience with this exact stack if you've worked deeply with the equivalent (say Azure instead of AWS, or a different serverless/IaC setup), that counts just as much.

Your responsibilities n

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- Ship features across the stack in our Compliance Hub - from data ingestion and calculation through to the client-facing workflows that make reporting season survivable
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- Take a problem from a loose product conversation to something in production, without needing the spec handed to you
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- Direct coding agents across your work: scope the context, decompose the problem, review hard, and stand behind the result
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- Build and improve the internal tooling, prompts, harnesses and tests that make the rest of the team faster
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- Help us work out where AI agents genuinely belong in our product, and where a deterministic system is the honest answer
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- Review your teammates' work — human-written and agent-written alike — and help set the standard for what "good" looks like here
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- Work directly with our consulting team, who are the domain experts and your best source of truth on what the standards actually require
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What we'll love about you As an engineer nn
- 4+ years building and shipping production software, with a track record of things you owned end to end
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- Genuinely full stack - comfortable in the front end, the back end and the bit in the middle where the data lives
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- You've maintained and debugged your own work in production, not just handed it over
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- You can explain a technical trade-off to a non-technical person without making them feel stupid — you'll be doing this with our consultants and our clients
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- Comfortable with ambiguity, tight timelines and a roadmap that moves. This is a startup, we move fast.
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With AI nn
- Multi-step agentic workflows are already your default way of building software, well beyond Copilot-style autocomplete. You're doing this now, not open to trying it
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- Good judgement about delegation: what to hand to an agent, what to scope down first, and what to write yourself
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- You review AI-generated code with the same discipline you'd apply to a junior teammate's PR, and you understand and own every line you submit
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- You've built something to make your own workflow faster — a custom command, a skill, a CLI, an MCP server, a set of evals
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- You can tell us about a time an agent confidently gave you something wrong, how you spotted it, and what you changed as a result
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- Bonus: you've shipped LLM or agentic features to real users, and you have an actual point of view on prompt and context design, tool calling, evals and cost
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As a person nn
- You care about the climate problem. You don't need to know what Scope 3 is yet, but you should want to
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- Direct, low-ego and humble — you ask the obvious question on day one rather than quietly guessing for a fortnight
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- You work visibly: you share what you're building, say early when you're stuck, and go and find the consultants when you need the domain answer
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- You enjoy balancing deep work with getting to know your colleagues and having a laugh along the way
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- You work hard, you're curious and always open to feedback
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- You'd rather ship something honest and improve it than sit on something perfect
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What you'll get from us nn
- Competitive salary + stock options
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- Adaptable, hybrid working
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- Frontier AI tooling, paid for, and the freedom to bring your own workflow
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- Regular interaction with the founders and exposure to how the company is actually run - strategy, capital raising, product, the lot
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- Excellent culture - the founders have been friends for over a decade and care a lot about building a company people want to work at
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- Regular feedback, and a genuine say in how the engineering team grows from here
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#J-18808-Ljbffr

📌 + Senior Software Engineer (Full Stack) (Sydney)
🏢 trace
📍 Sydney