
Posted Today
Senior Software Engineer, Platform
CupertinoRemote
AI Summary
Design and build compute platform infrastructure on GCP, including Kubernetes-based systems for production services, batch jobs, ML training, and real-time battery dispatch, while establishing reliability patterns and tooling.
About this role
The Role
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.
What you'll do:
- 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
Taking care of you today:
- Continuing Education Opportunities
- Flexible PTO
- Medical, Dental and Vision plans with competitive employer contributions
- Pre-Tax commuter benefits
- $1500/year non profit donation matching program through Millie
- Home Office Stipend
Protecting your future for you and your family:
- 401K contribution match up to 4%
- Company-paid parental leave
- Company Paid Life Insurance
- Stock Option Loan Program
Pay range
$209,000—$270,000 USD
Skills
AirflowC++FlyteGCPGKEGOGoogle Cloud MonitoringGrafanaJavaKubernetesLinuxPythonRustTemporalTerraform
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