Rebar is building the AI operating system for commercial HVAC, Electrical, and Plumbing.
Over the past year our quoting platform has processed tens of thousands of projects across North America and we’re continuing that growth. Our customers include many of the top firms in the industry. Some of these companies are running billion dollar construction projects on workflows that still look like it's 1985.
Construction is 10% of GDP and still massively underserved by software. We are changing that.
We raised a $14M Series A from leading construction tech investors and are entering our next phase of growth. We are building a set of AI native products that will define how this industry operates.
About the Engineering OrgWe're in the age of Ai and the role of the engineer is rapidly changing. We're aware. We're being very intentional of ensuring we adapt with it. We are fostering an engineering culture of growth and development. We strongly emphasize care of craft and winning together. Our core values are:
Everyone operates like an owner
Find a way
We win together
That being said the whole company still works really hard! This is something that you should read and internalize. This might not be the place for everyone.
About the RoleWe're looking for a platform engineer to own the infrastructure that powers Rebar. We have numerous services running on EKS as well as on AWS managed services. That being said, there is some organization work that needs to be done as we continue to scale: hardening our system given our SOC2 Type II requirements, environment partitioning, consolidating simpler lambdas into our monolithic Golang service. This role will require determination and a good attitude and mentorship of the rest of the team.
I cannot state this enough - I will ensure that you leave as a better and more experienced engineer than when you joined. You will get insights into building a SOC2 Type II compliant org, scaling a company from hundreds of companies, to thousands, and watching traffic scale accordingly.
ResponsibilitiesDrive performance across our entire infra stack and application layer
Own SOC 2 infrastructure controls
Take observability fleet-wide
Finish environment partitioning
Optimize cloud spend
Own the cloud footprint
Own production operations
At a high level, we’re looking for the technical expertise mixed with the passion and spark. You should actually give a shit. You should be excited to walk me through how you’re going to run through a data migration without a single packet getting dropped or customer firing off an Intercom ticket.
But more specifically, here are some required qualifications.
Qualifications6+ years in platform, infrastructure, or DevOps engineering
AWS experience (ECS/Fargate, lambdas, DDB, 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) (our backend and infrastructure tooling are Python-heavy)
Experience with real-time systems, WebSocket infrastructure, or event-driven architecture
Modal + GPU familiarity
We will have a corresponding ML infra engineer, but familiarity with GPU scheduling and orchestration is a plus
Comfort with Postgres
We’re steadily consolidating on utilizing Postgres for much of our OLTP (and sadly some of our OLAP layer atm)
Experience with Temporal (or Dagster or another workflow orchestration tool)
Worked in a small, high-ownership engineering team where you set the standard rather than inherited one.
Salary: Competitive base salary
Equity: Meaningful equity package, commensurate with experience
Benefits: Comprehensive medical, dental, and vision coverage
Perks:
agentic tooling budget
lunches provided, dinners provided (after a set time)
great culture and office banter
Skills Required
- 6+ years of experience in platform, infrastructure, or DevOps engineering
- AWS experience, including ECS/Fargate, Lambda, DynamoDB, SQS, and Cognito
- Kubernetes experience
- Strong production experience with Terraform and/or AWS CDK
- Experience designing and maintaining CI/CD pipelines; GitHub Actions preferred
- Containerization experience with Docker, ECR, multi-stage builds, and image optimization
- Experience operating distributed systems in production
- Comfort with Go and/or Python
- Experience with real-time systems, WebSocket infrastructure, or event-driven architecture
- Familiarity with Modal and GPU scheduling or orchestration
- Comfort with PostgreSQL
- Experience with Temporal, Dagster, or another workflow orchestration tool
- Experience working in a small, high-ownership engineering team
Rebar Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Rebar and has not been reviewed or approved by Rebar.
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Healthcare Strength — Health, dental, and vision insurance are described as fully covered by the employer, indicating strong core medical support.
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Wellbeing & Lifestyle Benefits — Office lunches and dinners plus covered late‑night rides reduce daily costs and support employees during longer in‑office days.
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Equity Value & Accessibility — Several roles explicitly include a meaningful equity grant alongside salary, signaling real ownership opportunities for hires.
Rebar Insights
What We Do
Rebar is building the AI operating system for HVAC, plumbing, and electrical trades. Starting with takeoffs and expanding into spec review, submittals, and bid management.
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