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Software Engineer - Backend Data Processing (Mid-Level) — Largs North, Port Adelaide Area
Expired

About Fleet Space Technologies Fleet is a space-enabled exploration technology company on a mission to dramatically accelerate the discovery of critical minerals needed to decarbonize our global economy. Electric vehicles and other clean energy technologies are vital elements of the world's efforts to combat climate change, and these will demand many times more critical minerals than today, with an incremental value of over USD $13 trillion. At the same time, finding new mineral deposits is becoming more challenging as we increasingly exhaust the supply of shallow deposits and are forced to explore deeper underground. Traditional exploration methods are poorly suited to address this challenge, so a new approach is needed. Our approach is to combine space technology, proprietary seismic sensors, cutting edge Ambient Noise Tomography, and machine learning to provide the world's first scalable 3D exploration dataset with near-real-time insights to guide active exploration programs far more efficiently to new deposits. This is Fleet's flagship product, ExoSphere - a space-enabled solution for mineral exploration in real-time, in 3D, and under cover with very low environmental impact. Since launching ExoSphere in March 2022, Fleet has signed contracts with over 30 clients including Rio Tinto, Barrick Gold and Core Lithium and completed over 120 Ambient Noise Tomography surveys, more than any other company in the world. As part of Fleet's founding vision to connect the Earth, Moon, and Mars, we also apply our technology to innovative solutions for defense and space exploration, including an upcoming mission to the Moon. Headquartered in Adelaide, Australia, Fleet has rapidly grown to over 100 employees including a growing team in the US and Canada. We have raised over AUD $85M in venture funding, backed by premier investors including Blackbird, Grok, and In-Q-Tel. The Team The Software Team at Fleet Space Technologies is composed of team-oriented technical experts that are driving significant innovations and shaping solutions for internal and external customers. Our tech stack includes embedded RTOS and Linux (C and Go), scientific data processing (Python), Customer APIs (Go and Typescript) and Frontends (Typescript with React and Vue). With such a broad stack we don't expect everyone to know everything, but ensure we have experts we can trust in each area, who are capable of communicating across complex software boundaries. It's not rocket science, but it's close One must not only bring proven technical expertise, but also be open minded, agile, and adaptable to solve yet to be determined challenges that could very well change the world (or another planet's). As a business, we are ambitious, innovative, and collaborative and we put our customers first in everything that we do. We love celebrating our successes, and we have had a lot to celebrate to date including Series C Funding and selection of our Technology to be the first Australian hardware to be deployed on the Moon. We are a diverse group of professionals who have come together for one purpose - to build spacecraft for explorers of new worlds with a mission to connect Earth, Moon and Mars. Come help shape the future through this fantastic opportunity Core Values The Core Values at Fleet Space Technologies 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 The Role Fleet Space Technologies is seeking a highly skilled, passionate and experienced Backend Software Engineer - Cloud Data Processing. As a Mid-Level Backend Software Engineer on our Data Processing Team at Fleet, you will play a crucial role in developing and optimizing systems for the seamless ingestion, processing, and analysis of satellite data, specifically Ambient noise tomography data. We are seeking individuals with expertise in Golang and Python, and experience with AWS, to help us leverage this specialized data in our mineral exploration initiatives. This challenging and inspiring role is ideal for candidates who have proven experience on delivering software features in a team environment within an agile, high-growth, cutting edge technology organization. Reporting to the Lead Software Engineer (Data Processing), the Mid-Level Software Engineer- Backend Could Data Processing will collaborate across the team to deliver software design & development of Fleet's AWS based systems for data processing. The incumbent should expect to be pulled into a plethora of yet to be defined challenges that will drive revenue for the company, inspire/challenge them technically, and help change the world (while taking Fleet intergalactic) They will partner with multiple teams including : The satellite operations team to pull in customer data from the satellite network, and build and maintain the cloud based aspects of Fleet's telemetry and telecommand systems. The geophysics team, to assist them in getting Fleet's science code running automatically on our cloud systems in a scalable way with minimal interactions required. The customer interface team, to design and implement stable and consistent APIs between the teams, so they can provide it on a customer facing API. Product - to collaboratively work on requirements and make sure we're building the right thing for our customers If you are a skilled Backend Engineer with expertise in Golang, Python, and a passion for processing data to advance mineral exploration technology while contributing to environmental sustainability, we encourage you to apply. Join us in our mission to responsibly explore Earth's resources and be part of our exciting journey. Location We are open to this role being based at HQ in Adelaide, South Australia; or remotely in Australia, based on prior experience and ability to team & thrive remotely. Applicants must have full working rights within Australia. Main Responsibilities This role will be responsible for but not limited to: Design, develop, and maintain scalable backend services and APIs for the ingestion, processing, and analysis of Ambient noise tomography data using Golang and Python Implement efficient data processing pipelines, ensuring high performance, reliability, and scalability Collaborate with data scientists and analysts to integrate advanced algorithms and models into the data processing workflows Optimize and automate data workflows, ensuring timely and accurate ingestion of Ambient noise tomography data Implement best practices for data security, privacy, and compliance in data processing workflows Collaborate with cross-functional teams to deliver high-quality solutions that meet business requirements Key Skills and Required Experience Bachelor's (Tertiary) Degree in Computer Science, Software Engineering, or related discipline; or equivalent work experience Proven experience as a Backend Engineer with expertise in Golang and Python, specifically in data processing and analysis Experience with cloud platforms, preferably AWS services (EC2, Lambda, S3, etc.) Strong understanding of data processing concepts, algorithms, and technologies Familiarity with Ambient noise tomography data and related data processing techniques Experience with data visualization tools and libraries is a plus Excellent problem-solving skills and ability to work in a collaborative team environment Strong communication skills and ability to convey complex technical concepts to both technical and non-technical stakeholders Full working rights in Australia 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.

Applications close Sunday, 31 December 2023
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