Skip to content

Open nowPosted 51 days ago

Software Engineer

Fleet Space Technologies5 open roles

Where
Adelaide, Australia
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSoftware EngineerFleet Space Technologies · Adelaide, Australia
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Fleet Space Technologies's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 51 days ago

The posting

Job description

This role can be based in Toronto or Adelaide with hybrid working.

Fleet Space builds software for customers and internal teams working with geophysical surveys, geological data, interactive 3D visualisation and machine learning predictions. Our platform lets users explore survey results, interpret complex datasets, upload project data, access deliverables and interact with predictive models.

We are looking for a Full Stack Software Engineer who enjoys working across the stack and turning ideas, data and models into useful products quickly. You will work on a diverse range of projects: dashboards, APIs, data processing, 2D and 3D visualisation, backend services, frontend applications and machine learning integration.

This role suits someone comfortable moving between front and back end, learning quickly, and using modern AI assisted development tools to accelerate implementation without losing engineering judgement.

What you'll do

  • Design and build new products and features across Fleet's customer and internal software platform.
  • Develop backend services, APIs, data processing workflows and frontend applications.
  • Build interactive dashboards and tools for exploring complex scientific and operational data.
  • Develop rich 2D and 3D visualisations for geophysical, geological, geospatial and machine learning datasets.
  • Integrate machine learning models and their outputs into production applications and user workflows.
  • Bring previously independent tools and workflows together into a cohesive platform.
  • Build the interfaces customers use to upload data, manage projects and access their results.
  • Work with large scientific and geospatial datasets, and find effective ways to process, transfer and visualise them.
  • Maintain, improve and simplify existing systems, and look for ways to lift performance, usability and development velocity.
  • Work closely with data scientists, machine learning engineers and geoscientists to turn experimental workflows into reliable software.
  • Prototype new ideas quickly and work out the right path from prototype to production.
  • Contribute to technical design decisions around application structure, APIs and integration with shared platform services.

What we are looking for

  • Around 4+ years in software engineering, working across the stack rather than in one narrow specialisation.
  • Tech stack: Python, Go, TypeScript/JavaScript, SQL, AWS, Docker, GitLab and CI/CD, with 2D and 3D visualisation libraries such as Three.js, WebGL, deck.gl or Plotly.
  • Backend and API experience from first principles: you can design a service and its data model, then integrate it cleanly with what already exists.
  • Strong experience with SQL databases and structured data, and with data processing, data engineering or data science workflows.
  • Experience building web applications, dashboards or interactive data tools.
  • Ability to understand existing systems quickly and work effectively across unfamiliar parts of a stack.
  • Pragmatic technical judgement, balancing development speed, complexity, maintainability and user value.
  • Strong use of AI assisted development tools such as Claude Code, Codex or GitHub Copilot, with the ability to review, test and improve what they produce rather than accepting it as is.
  • Comfort using AI aggressively for prototyping and well contained features, while recognising when architecture, data or security decisions need deeper engineering thought.
  • Experience with Jira or similar project and issue tracking tools.
  • Experience integrating machine learning models or data science workflows into production software.
  • Knowledge or experience in geology, geospatial data, mining or scientific computing.

How we work

We want engineers who see AI assisted development as an important part of modern software engineering. We encourage rapid experimentation and AI assisted implementation, particularly for interfaces, prototypes and well contained features. At the same time, we expect engineers to understand the systems they build and take ownership of architecture, data models, APIs, testing, security and maintainability.

We value simplicity over unnecessary complexity, and we expect engineers to ask not only how we build something, but what is the simplest thing we can build that solves the problem well. The goal is to use modern tools to move quickly while continuing to build software we understand, trust and can maintain.

About Fleet Space

Fleet Space Technologies’ vision from the beginning was to build technologies to help humanity explore and connect the Earth, Moon, and Mars.

This led us to develop and launch one of Australia’s largest constellation of satellites, create our satellite-enabled mineral exploration technology (ExoSphere), and send Australia’s first seismic technology (SPIDER) to the Moon in 2026. ExoSphere, our end-to-end mineral exploration solution powered by space and AI, aims to accelerate critical mineral discovery needed for the clean energy technologies foundational to humanity’s future.

As part of Fleet’s founding vision, we also apply our technology to innovative solutions for defense and space exploration, including an upcoming mission to the Moon. Headquartered in Adelaide, South Australia, Fleet has a growing team in the USA, Canada, and beyond.

Company Culture

As a company, we are revolutionising the exploration of new worlds with advanced space technology to build a more prosperous future for humanity.

As a culture, we are ambitious, innovative, and collaborative and we put our customers first in everything that we do.

Our company values guide us to our North Star of ambitious, collaborative success: AD ASTRA ("To the Stars!")

  • Add Value: Obsessively add value for our customers
  • Drive Excellence: Benchmark against the best
  • Agile Action: Take Action. Independent, fast, frugal action
  • Seek Truth: Be curious. Explore
  • Take Responsibility: Make decisions and own them
  • Radical Ideas: We are unique. We do things differently
  • Always Deliver: We always find a way to get it done on time

Our Benefits Include

  • We have an extremely flexible work culture, with a mix of onsite, hybrid and remote workers who take time for school runs, exercise and appointments. It's about getting the work done, not time at desk.
  • Equity (ESOP) grants.
  • 20 days of annual leave + 10 extra Wellness days per year.
  • Learning budgets.
  • Access to confidential Psychologist appointments via our Employee Assistance Program.
  • Plenty of opportunity to be part of an amazing STEM program to create the next generation of explorers.

Fleet is an Equal Opportunity Employer; employment with Fleet is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, colour, religion, gender, national origin/ethnicity, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Fleet Space Technologies's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on Fleet Space Technologies's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    Fleet Space Technologies's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.