Senior Software Engineer

Quick Facts

• Role: Senior Software Engineer
• Focus: Backend platform architecture and end-to-end service ownership for AI-powered digital identity & digital trust
• Tech: Go backend, TypeScript + React/Next.js frontend, AI-assisted coding tools

Description

You’ll own core platform architecture and development for an AI-powered identity and authentication infrastructure, partnering directly with engineering leadership from concept to production. The role covers backend services end-to-end, system architecture, observability, and developer/partner APIs. You’ll leverage AI-assisted development tools while applying strong technical judgment to validate and debug outputs.

Responsibilities

• Own backend services and applications end to end (architecture/design, implementation, deployment, monitoring, documentation)
• Set technical direction for system architecture, data models, APIs, and security considerations
• Turn ambiguous technical problems into scalable, production-ready solutions
• Build and optimize backend infrastructure and frontend experiences as the platform scales
• Provide platform data visibility: operational metrics, dashboards, monitoring, and alerting
• Design and build developer-facing portals and partner APIs for customer integrations
• Use AI agents to automate recurring workflows (debugging, migrations, maintenance)
• Drive engineering best practices through code reviews, documentation, and architectural decisions
• Mentor engineers and reinforce a culture of ownership 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 language)
• Working proficiency with TypeScript and modern frontend development (React)
• 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 approach with ownership mindset

Benefits

• High autonomy and meaningful influence over architecture, product decisions, and engineering standards
• Work directly with engineering leadership and shape technical direction
• Opportunity to help build and scale a platform addressing digital trust challenges
• Use cutting-edge AI development tools as a core part of the engineering workflow