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Software Engineer, Platform Infrastructure

Rebar - New York, NY, USA - In-office - posted 2026-10-04

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Rebar is building an AI operating system for commercial HVAC, Electrical, and Plumbing. The company has raised $14M in Series A funding and is scaling rapidly, having processed tens of thousands of projects across North America with customers including top firms in the construction industry. As a Software Engineer for Platform Infrastructure, you will own the infrastructure powering Rebar's platform. The engineering organization emphasizes ownership, craft, and collaborative growth. You will work on a modern stack including EKS, AWS managed services, and a monolithic Golang backend. Key responsibilities include: - Drive performance across the entire infrastructure stack and application layer - Own SOC 2 Type II infrastructure controls and compliance - Implement fleet-wide observability - Complete environment partitioning work - Optimize cloud spend and manage the cloud footprint - Own production operations You will gain deep experience in building SOC 2 Type II compliant systems, scaling from hundreds to thousands of customers, and managing traffic growth at scale. The role requires determination, strong technical judgment, and a willingness to mentor the broader engineering team. REQUIREMENTS: - 6+ years in platform, infrastructure, or DevOps engineering - AWS experience (ECS/Fargate, Lambdas, DynamoDB, SQS, Cognito) - Kubernetes experience - Strong Terraform and/or AWS CDK experience in production environments - Track record designing and maintaining CI/CD pipelines (GitHub Actions preferred) - Experience with containerization (Docker, ECR, multi-stage builds, image optimization) - Experience operating distributed systems in production - Comfort with Go and/or Python (backend and infrastructure tooling are Python-heavy) NICE TO HAVE: - Experience with real-time systems, WebSocket infrastructure, or event-driven architecture - Modal and GPU familiarity (GPU scheduling and orchestration) - Comfort with Postgres (OLTP and OLAP workloads) - Experience with Temporal, Dagster, or other workflow orchestration tools - Background in small, high-ownership engineering teams where you set standards

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