Software Engineer, Infrastructure (4+ years of experience)
Company: Anrok
Location: San Francisco Bay Area
Salary: $140k - $220k per year
Type: Full-time
Level: Junior
Posted: 2026-02-10
About this role
Anrok is the leading tax automation platform enabling businesses to expand globally without compliance complexity.
As the digital economy has grown 6x over the last decade, software businesses have gone from not worrying about sales tax to needing to monitor exposure, calculate rates, and file returns across 20+ US states and many countries worldwide. This creates a critical bottleneck for companies that should be able to transact with customers everywhere.
Anrok eliminates this complexity by connecting with billing and payment systems to automate tax monitoring, calculations, and filing end-to-end. Our unified platform handles the ever-changing maze of tax laws at municipal, state, and federal levels—so companies can focus on growth, not compliance.
Our Customers Include
- 40% of Forbes Top 50 AI companies
- 20% of Forbes Top 100 Cloud companies
- Top companies like Notion, Anthropic, and Cursor
We're making compliant digital commerce a reality for companies big and small,
backed by over $100M
from leading investors including Sequoia, Spark, Index, and Khosla Ventures.
In this role you'll design, build, and operate the systems that support our product and the engineers who build it. We're looking for someone who wants to own their impact and find simple solutions to complex problems that are tailored to our needs. We use GCP, Pulumi, Postgres, and TypeScript, but prior experience is not required.
In This Role, You Will
- Take responsibility for Anrok's reliability, security, scalability, and performance.
- Drive technical decisions about our infrastructure.
- Identify and fix bugs and technical debt.
- Collaborate with other engineers and management to build high-impact solutions.
- Example project areas:
- Improve system observability and provide tools to enable product engineers to own application observability.
- Scale our database layer through sharding, replication, and splitting out services when it makes sense.
-...