Senior Software Engineer
About Us
We are a global climate technologies company engineered for sustainability. We create sustainable and efficient residential, commercial and industrial spaces through HVACR technologies. We protect temperature-sensitive goods throughout the cold chain. And we bring comfort to people globally. Best-in-class engineering, design and manufacturing combined with category-leading brands in compression, controls, software and monitoring solutions result in next-generation climate technology that is built for the needs of the world ahead.
Whether you are a professional looking for a career change, an undergraduate student exploring your first opportunity, or recent graduate with an advanced degree, we have opportunities that will allow you to innovate, be challenged and make an impact. Join our team and start your journey today!
About Bueno
We are a 12-year-old mission-driven company dedicated to accelerating the built environment’s transition to Net Zero.
We connect to modern building systems (such as HVAC, lifts, fire, and refrigeration) to gather massive datasets that are currently under-utilised. Using advanced analytics and AI, we identify inefficiencies and faults in these systems that save our customers money, prevent failures and significantly reduce utility consumption. Given the built environment is accountable for 40% of the world’s emissions, we have the ability to make a tangible difference through our technology.
Our client list includes industry giants like Disney, Woolworths, Westfield, Target (US), and huge European retailers .
We are currently on the cusp of a massive growth phase, aiming to 5x our business over the next 3 years as we tackle the North American refrigeration market, thanks to our recent acquisition by Copeland - a global leader in refrigeration and controls.
The Role
We are looking for a Software Engineer to join our Analytics Feature Team . Historically, our analytics rules were written by domain experts and data scientists. As we scale to handle 10x the data volume, we need a software engineering mindset to take ownership of this engine and help improve its scalability while keeping a lid on complexity.
You won't just be writing business logic; you will be building a scalable, maintainable, and observable system . You will bridge the gap between complex building physics and high-performance software engineering, ensuring our analytics engine (running on Kubernetes and Docker) can handle our rapid expansion.
What You’ll Do
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Scale the Analytics Engine: Work on our core Python-based engine that processes massive streams of building data. You will help us continue our mission to build robust, production-grade software.
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Engineering Excellence: Champion software best practices, observability, testing, and maintainability. You will help structure the code so that it is performant, testable and (hopefully) bug-free.
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Collaborate & Mentor: Work alongside data scientists and domain experts, helping them adopt better engineering cultures and practices.
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Infrastructure & DevOps: Utilise our Kubernetes-native, autoscaling Docker container environment. While we have platform engineers, we encourage an "end-to-end ownership" culture where you understand how your code deploys and runs.
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Innovation: We are actively integrating AI (Gemini, Transformers) into our workflow to automate ticket descriptions and insights. You’ll have the freedom to innovate and explore new tools, in addition to joining other feature teams in the future to expand your horizons.
The Tech Stack
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Core for this role: Python (Pandas, NumPy, PyTorch).
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Infrastructure: Kubernetes, Docker, Google Cloud, Pub/Sub Queues.
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Broader Stack (Good to know): Kotlin, Spring Boot (used for main APIs), PostgreSQL, Time-series databases.
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Front End (for context): Next.js, React, TypeScript.
Who You Are
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A Software Engineer at Heart: You aren't just a script-writer; you understand how to buil