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Salary: USD 129,000 - 152,000 / annual
Blend is a cloud banking platform used by Wells Fargo, U.S. Bank, and over 330 other financial services firms. The platform processes an average of more than $5 billion in loans per day and powers approximately 20% of mortgages in the US.
As a Software Engineer at Blend, you will design, implement, and maintain the platform that enables this scale. You'll work closely with product development teams to translate customer needs into functional, scalable software using modern development practices centered on AI coding agents.
Key responsibilities include:
- Build features end-to-end across the stack: responsive, accessible user interfaces and resilient, scalable back-end services
- Use AI coding agents (Claude Code, Cursor, Codex) daily across the full software development lifecycle: planning, design, codebase analysis, implementation, testing, documentation, code review, and refactoring
- Apply and help evolve AI-driven development lifecycle (AIDLC) practices, including spec-driven development, agentic workflows, and effective context and prompt engineering
- Review, test, and harden AI-generated code to production quality; own everything you ship
- Collaborate with cross-functional teams (product managers, UI/UX designers) to translate business requirements into technical specifications
- Design and develop applications with maintenance, resiliency, and robustness in mind
- Identify and troubleshoot software defects and issues
- Participate in code reviews and offer peer mentorship
- Participate in the team's on-call rotation
- Propose and build new features end-to-end
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience)
- 2-5 years of experience building production software
- Daily use of AI coding tools (Claude Code, Cursor, Codex); these are core to your workflow, not experiments
- Proficiency in AIDLC techniques: decomposing problems into well-scoped tasks, writing effective specs and prompts, managing context, and critically evaluating AI output for correctness, security, and maintainability
- Full-stack development capability: back-end languages (Node.js, TypeScript, Golang) and front-end technologies (HTML, CSS, JavaScript, React)
- Experience with databases (Postgres, MongoDB, or similar)
- High learning velocity and curiosity about new tools and techniques
- Excellent communication skills; ability to operate independently and collaboratively in a fast-paced environment
