• Designing and implementing extremely high-volume, fault-tolerant, scalable backend systems that process and manage petabytes of customer data. • Work to improve algorithms built to schedule load on clusters of thousands of machines elastically at runtime. • Experience in multi-threaded programming and distributed systems • Improve systems to provide performance guarantees to customers in a shared-everything multi-tenant architecture. • Lead and contribute to the re-architecting of our internal message processing technology to petabyte per day scale. • Help manage exabytes of data using the latest and greatest technologies such as Kafka, Kubernetes, and Docker. • Work across Sumo, interfacing with multiple teams, including Search, Security, and Metrics & Tracing, to identify requirements and architect solutions to meet their data core ingest needs.

• Design and implement extremely high-volume, fault-tolerant, scalable backend systems that process and manage petabytes of customer data • Optimize code to reduce latency and resource footprint in a microservices environment • Write robust code: demonstrate its robustness through automated tests • Implement telemetry and logging to help the PM team track granular cost-per-service metrics • Participate in on-call rotations and help troubleshoot performance bottlenecks in production • Work as a member of a team, helping the team respond quickly and effectively to business needs

• Participate in the design and implementation of products utilizing the latest engineering technologies • Assist in gathering, reviewing and analyzing requirements • Participate in code and design reviews and technical presentations • Collaborate with other developers in team projects • Identify and implement testing strategies • Support development of test methodologies/programs • Propose framework & opportunities for system enhancements • Handle special projects to completion

Role Description We're hiring a Senior or Staff-level Software Engineer to join our engineering team and help build the next generation of our platform. You'll work across the stack, owning features end-to-end - from understanding the problem through to shipping and iterating in production. The work spans our grid analytics platform: building the software that helps utilities understand, operate, and optimise their networks as the energy transition accelerates. 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 - Build and ship high-impact software features across the Gridsight platform - Own features end-to-end: from understanding the problem through to shipping and iterating in production - Make sound trade-offs between speed, quality, and scope to maximise product outcomes - Collaborate with product, data science, and data engineering to shape how our platform evolves - Leverage AI-assisted development tooling to accelerate delivery and raise the bar on what a small team can ship - Contribute to engineering culture: code quality, testing, observability, and knowledge sharing Qualifications - 4–8+ years of software engineering experience with a track record of delivering impact at Senior or Staff level - Strong engineering fundamentals: clean architecture, testing practices, code review, CI/CD — in service of shipping things that matter - Experience shipping user-facing product features in production - Fluency in the use of AI-assisted development tools — you're already using agentic coding tools, LLM-assisted workflows, or similar to accelerate your work - Strong ownership and a bias to action — you take things from idea to working software without waiting to be told Requirements - Experience building LLM-integrated product features in production - Frontend development experience with modern frameworks (React or similar) - Experience in energy, utilities, or infrastructure technology - Distributed systems or data engineering experience Benefits - 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