Senior Software Engineer

Jobot
San Francisco, CA, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$150,000.0 - $225,000.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Biometrics Cloud Computing Cyber Security Cursor Database Design Software Debugging Programming Tools Distributed Systems Fraud Prevention and Detection
+19 more
Python (Programming Language) PostgreSQL Performance Tuning Redis Next.js Software Engineering Systems Integration TypeScript ReactJS Claude Code AI Coding Agents Backend Kubernetes Apache Kafka Free and Open-Source Software Restful APIs Grpc Dynatrace Golang

Job description

We’re hiring a Senior Software Engineer to help architect, build, and scale the core infrastructure behind our AI-powered identity verification platform. This is a hands-on engineering role with significant ownership across backend systems, APIs, and product development.

What You’ll Do: Design, build, and own production backend services primarily using Golang. Take products and features from initial concept through development, deployment, monitoring, and scaling. Architect scalable APIs, data models, and cloud-based distributed systems. Build developer-facing APIs, integrations, and internal platform tooling. Work with TypeScript, React, and Next.js across the product when needed. Own database design, PostgreSQL schemas, migrations, and performance optimization. Leverage AI-assisted development tools to accelerate engineering while maintaining high code quality. Debug complex production issues using logs, metrics, distributed tracing, and source code. Collaborate directly with engineering leadership on architecture, security, and technical strategy.

Requirements

5+ years of professional software engineering experience. Strong backend engineering experience with Golang or a comparable language such as Python, Java, or TypeScript. Proven experience building products from 0 1 and scaling production systems. Strong understanding of APIs, distributed systems, data modeling, and cloud infrastructure. Experience owning production services beyond initial deployment. Working familiarity with TypeScript and React. Hands-on experience using AI coding tools such as Claude Code, Cursor, or Codex, with the judgment to critically review generated code. Ability to work independently, solve ambiguous problems, and communicate technical decisions clearly. Must be based in San Francisco or New York City.

Nice to Have: Kubernetes, Kafka, Redis, gRPC, PostgreSQL, or GitOps. Experience in identity verification, cybersecurity, fraud prevention, or biometrics. Early-stage startup experience. Open-source contributions or meaningful personal projects. Experience building autonomous or agentic developer tools.

Benefits & conditions

Salary: $150,000 - $225,000 per year

A bit about us:

We’re an early-stage AI and biometrics startup on a mission to make the internet more human, secure, and trustworthy.

Our technology combines cutting-edge AI, and identity verification to help organizations distinguish real people from bots, deepfakes, and digital fraud. We’re building a privacy-first platform that enables secure verification directly from a smartphone, without specialized hardware.

We’re a small, highly technical team tackling some of the most interesting challenges in AI, cybersecurity, and digital identity. We’re looking for engineers who love building from the ground up, thrive with autonomy, and want to have a direct impact on the future of online trust.

Why join us?

True 0 1 Ownership: Build and scale core products from the ground up, with real influence over architecture and technical direction AI-Native Engineering: Work with Claude Code, Cursor, Codex, and modern AI development tools every day. High-Impact Team: Collaborate directly with the Head of Engineering on challenging technical problems without layers of bureaucracy. Cutting-Edge Technology: Build at the intersection of AI, biometrics, cybersecurity, and fraud prevention. Remote Flexibility: Work remotely from San Francisco or NYC, with occasional opportunities to collaborate in person. Equity Upside: Join an early-stage company where your contributions directly shape the product and business. Engineering Autonomy: Own what you build, make meaningful technical decisions, and see your work reach production.

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