Software Engineer, Infrastructure
Build and operate cloud infrastructure, Kubernetes platforms, CI/CD systems, and observability for exabyte-scale data systems and reliable enterprise AI workloads. The role requires 5+ years of infrastructure, platform, or distributed systems experience and strong programming and cloud skills.
About the job
Responsibilities
- Design and operate cloud infrastructure supporting petabyte- to exabyte-scale systems.
- Manage and evolve production Kubernetes clusters with high availability and predictable scaling.
- Build and optimize CI/CD pipelines for faster builds, reliable tests, and safer deployments.
- Improve developer experience by reducing friction and automating workflows.
- Contribute to end-to-end testing and release-confidence systems.
- Strengthen observability across logging, metrics, tracing, and alerting.
- Collaborate across engineering teams on architecture, reliability, and scaling challenges.
- Own customer-facing technical integration, guide deployments, troubleshoot infrastructure-level issues in customer environments, and ensure reliable operation across diverse cloud, data, and security stacks.
- Drive operational excellence through reliability, automation, and best practices.
Requirements
- 5+ years of experience in infrastructure, platform, or distributed systems engineering.
- Strong coding skills in Go, Java, Python, or similar languages.
- Production-grade Kubernetes experience with strong cloud and containerization skills across AWS, Google Cloud, Azure, and Docker.
- Deep experience with CI/CD systems and cloud infrastructure.
- Proficiency with infrastructure as code, particularly Terraform.
- Ability to debug complex, cross-layer issues involving networking, storage, and runtime.
- Track record of designing scalable, reliable, and cost-efficient systems.
- Strong communication, ownership, and ability to thrive in a fast-paced startup environment.
Nice-to-Haves
- Experience with data platforms or lakehouse systems.
- Familiarity with Spark, Trino, Iceberg, Delta, or Airflow.
- Exposure to observability stacks such as Prometheus, Grafana, ELK, or Datadog.
Compensation & Benefits
- Competitive salary, meaningful equity, and performance bonus for top performers.
- 401(k) with company match.
- Comprehensive health coverage.
- Unlimited paid time off.
- Daily catered meals in the Mountain View office.
- Support for research, publication, and conference participation.
Skills
Go, Java, Python, Kubernetes, AWS, GCP, Azure, Docker, CI/CD, Terraform, Distributed Systems, Prometheus, Grafana, Spark, Trino
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