Senior Software Engineer

Quick Facts

• Role: Senior Software Engineer

• Focus: Backend platform architecture and end-to-end development for an AI-powered digital identity & digital trust platform

• Primary stack: Go, TypeScript, React/Next.js; AI-assisted engineering tools

Description

Own core platform architecture and build backend services end to end, from design and implementation to deployment and monitoring. Shape technical direction across system architecture, data models, APIs, and security while turning ambiguous challenges into scalable production solutions. Use AI-assisted development tools to accelerate delivery while applying strong technical judgment to validate and debug outputs.

Responsibilities

• Own backend services and applications end to end: architecture, implementation, deployment, monitoring, and documentation

• Set technical direction for system architecture, data models, APIs, and security considerations

• Convert ambiguous problems into production-ready, scalable solutions

• Build and optimize backend infrastructure and frontend experiences as the platform scales

• Implement data visibility with operational metrics, dashboards, monitoring, and alerting

• Design developer-facing portals and partner APIs to support integrations

• Leverage AI agents to automate engineering workflows such as debugging, migrations, and maintenance

• Establish engineering best practices through code reviews, documentation, and architectural decisions

• Mentor engineers and promote a culture of ownership and continuous improvement

Requirements

• 5+ years of professional software engineering experience building and maintaining production applications

• Strong backend experience with Go or a comparable backend 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 (Claude Code, Codex, or Cursor)

• Strong technical judgment to critically evaluate AI-generated code and architectural recommendations

• Experience taking products from early-stage development through significant growth and scale

• Excellent communication skills

• Proactive, self-directed ownership over the systems you build

Benefits

• Work directly with engineering leadership with meaningful influence over technical direction

• High autonomy owning critical systems and architecture from the ground up

• Join a small, highly technical team building AI and identity infrastructure

• Use cutting-edge AI development tools as a core part of the engineering workflow

• Direct impact on product development, engineering culture, and company growth