Senior Software Engineer, Platform

• 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