We're looking for a Senior Software Engineer to join our Platform team and build the foundational infrastructure that powers Gridmatic. Our platform challenges are shaped by the nature of energy markets: forecasts and trading decisions run on tight schedules, battery dispatch commands must execute reliably in real time, and ML models need to train and deploy continuously as new data arrives.

 

• Design and build our compute platform, creating infrastructure that supports production services, batch jobs, and ML training workloads
• Work on real-time systems for operating battery assets, where reliability directly impacts both revenue and grid stability
• Establish patterns, tooling, and best practices that help teams across Gridmatic run services reliably
• Make architectural decisions that shape how we build software as we grow

 

What we're looking for: 

• Significant experience building and operating production infrastructure on a public cloud platform (we run on GCP, but AWS or Azure experience translates well)
• Hands-on experience with Kubernetes (we run on GKE and it's foundational to our platform)
• Proficiency in Python
• Experience with infrastructure-as-code tools like Terraform
• Either already know Go or have experience with a similar systems language (C++, Java, Rust) and are excited to work in Python and Go day-to-day
• Systems thinking—understanding how components interact, where failures can cascade, and how to build for efficiency, scalability, and resilience
• Clear communication, whether writing a design doc, reviewing code, or explaining a complex system to someone new to it
• Opinions about how to build reliable infrastructure, informed by experience with what works and what doesn't at scale

 

Nice to have: 

• Background in ML infrastructure or training pipelines
• Experience with workflow orchestration tools (Flyte, Temporal, Airflow, or similar)
• Familiarity with observability tooling (we use Grafana + Google Cloud Monitoring)
• Experience with real-time systems
• Strong Linux fundamentals
• Prior work in domains where latency and reliability have direct business consequences