General Backend Developer

Backend Engineer (3+ years)

📍 Location: San Francisco — Hybrid (3 days/week in office)

💰 Salary: $135K–$250K base + RSUs + possible signing bonus

🛂 Work authorization: Must already be US work-authorized. No visa sponsorship.

About the company

We are a fast-growing, AI-native security startup in San Francisco. We are building the first platform that turns employees from security targets into a layer of defense.

Our platform reads employee behavior data, spots risky behavior in real time, and sends smart actions automatically. The data platform is the product.

• $31M raised, backed by top-tier venture funds
• Founded in 2024 by an experienced security team
• ~55 people, with talent from Meta, Twitter, Flexport, and top schools
• Culture: high ownership, fast shipping, and real impact

The role

We are looking for a backend engineer who has designed, built, and owned production services. You should fit a modern backend stack and be high-trajectory — someone who grows fast and loves a startup pace.

This is an individual contributor role. You will build real services that power the product from day one.

What you'll do

• Design, build, and own backend services in production
• Work with APIs, databases, data pipelines, or distributed systems
• Ship fast and take full ownership of your work
• Collaborate with a small, senior team

Must-haves

• 3+ years building backend software (around 3–6 years)
• Designed, built, and owned production-facing services end to end
• Experience with any ONE of these (not all):
  • External API integrations
  • Relational database backends
  • ETL / data pipelines
  • Distributed systems
• Good fit with a modern backend stack
• Thrives in a fast-paced startup
• Based in SF / can do hybrid (3 days/week in office)
• Already US work-authorized (no sponsorship)

Nice-to-haves

• Startup experience
• Depth in data pipelines, distributed systems, or cloud infrastructure
• Came from a high-growth startup that did well (later-stage or IPO, joined early)

Tech stack

Python, Django, Kafka, Spark, Airflow, AWS, Terraform, EKS, Kubernetes, PostgreSQL

(You do not need all of these — general fit with the stack is what matters.)

Why join

• High ownership and fast shipping
• The data platform is the core product
• Small, strong team with top startup and big-tech backgrounds
• Strong funding and great backers