Senior Software Engineer
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Role details
Tech stack
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Job description
The company is looking for a Senior Software Engineer to take ownership of core platform architecture and development. Working directly with the Head of Engineering, youβll help shape technical direction, build critical infrastructure, and take complex problems from initial concept through production deployment.
This is a high-impact opportunity to join a small, highly technical engineering team where youβll have significant autonomy and influence over architecture, product decisions, and engineering standards.
The backend is primarily built in Go, with TypeScript and React/Next.js powering the web experience. The engineering team is also deeply integrated with AI-assisted development tools, including Claude Code, Codex, and Cursor. Candidates should be comfortable leveraging AI to accelerate development while maintaining the technical judgment to critically evaluate, debug, and validate its output.
What Youβll Do
Own backend services and applications end to end, from architecture and design through implementation, deployment, monitoring, and documentation.
Help establish technical direction across system architecture, data models, APIs, and security considerations.
Take ambiguous technical challenges and turn them into scalable, production-ready solutions.
Build and optimize backend infrastructure and frontend experiences as the platform continues to scale.
Develop data visibility across the platform, including operational metrics, dashboards, monitoring, and alerting.
Design and build developer-facing portals and partner APIs to support customer integrations.
Leverage AI agents to automate recurring engineering workflows, including debugging, migrations, and maintenance.
Establish engineering best practices through thoughtful code reviews, documentation, and architectural decisions.
Mentor other engineers and contribute to a culture of ownership, accountability, and continuous improvement.
Requirements
5+ years of professional software engineering experience building and maintaining production applications.
Strong backend engineering experience with Go or a comparable backend programming language.
Working proficiency with TypeScript, React, and modern frontend development.
Strong understanding of API design, data modeling, database architecture, and production migrations.
Experience building and scaling cloud-based applications and distributed systems.
Ability to troubleshoot complex issues across services using logs, metrics, tracing, and source code.
Hands-on experience with AI-assisted development tools such as Claude Code, Codex, or Cursor.
Strong technical judgment and the ability to critically evaluate AI-generated code and architectural recommendations.
Experience taking products from early-stage development through significant growth and scale (0-to-1 and beyond).
Excellent communication skills, with the ability to clearly articulate technical decisions, tradeoffs, and project progress.
A proactive, self-directed approach with a strong sense of ownership over the systems you build.
About the company
An early-stage technology company is building the next generation of digital identity and authentication infrastructure. By combining advanced biometrics, artificial intelligence, and cryptographic verification, the company is developing technology that enables businesses to establish trust and verify authentic users across digital platforms.
As AI-generated content, deepfakes, and increasingly sophisticated fraud become more prevalent, the companyβs mission is to create more secure, seamless, and privacy-conscious digital experiences.
The company is backed by a team of experienced professionals across AI, biometrics, and cryptography and is building technology designed to address some of the most important challenges facing the future of digital trust.
Why join us?
Why This Opportunity?
Join a small, highly technical team building innovative AI and identity infrastructure.
Work directly with engineering leadership and have meaningful influence over technical direction.
Take ownership of critical systems and architecture from the ground up.
Work with cutting-edge AI development tools as a core part of your engineering workflow.
Have a direct impact on product development, engineering culture, and company growth.
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