Software Engineer (Infrastructure)

• By joining us at an early stage, you will design and build the cloud platform you’ve always wanted for yourself, and make decisions that will shape our product and company, directly impacting developers around the globe
• Areas of focus will be improving our architecture to schedule & spin up containers orders of magnitude faster, develop offerings to support our customers’ growing AI workloads, improving the performance of and adding new features to our internal traffic routing & load balancing, and building low-level primitives to enable our users to massively parallelize data processing workloads
• Own Render’s core infrastructure across multiple data centers and regions
• Help offer unique capabilities to Render customers through infrastructure innovation
• Plan and architect for rapidly increasing scale
• Debug issues at all levels in our infrastructure stack
• Improve the performance and reliability of our infrastructure through increased observability, load testing, and chaos engineering
• Collaborate with other engineers to help keep our platform stable, predictable, and secure
• Participate in our on-call rotation, with the rest of the engineering team

Benefits

• Monthly commuter stipend

• Fully stocked kitchen

• 12 weeks of paid parental leave

• 4 weeks PTO

• 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and all your dependents

• FSAs

• $60 per month for however you prefer to stay in shape

• $100 per month for mental health support

• Traditional or Roth 401(k) plans

• Long-term disability and life insurance

• Equity options

• Continuous learning benefits & related support

• We are looking for engineers with deep specialization in cloud infrastructure. We are particularly interested in experience with container orchestration, low-level networking, and storage management

• At least 5 years of experience building and scaling cloud infrastructure

• Experience developing, maintaining, and debugging production systems at scale

• Experience with infrastructure-as-code tools like Terraform, Pulumi, and Ansible

• Experience building, operating and scaling Kubernetes clusters or similar resource/container orchestration

• Experience with Linux kernel and/or container optimization

• Familiarity with observability tools like Datadog, Grafana, and OpenTelemetry

• Experience hosting PostgreSQL (or similar data stores) at scale

• Security hardening skills, especially in the context of untrusted workloads