Software Engineer, Blend

• 6+ years of professional software engineering experience
• Strong backend engineering experience in Go, TypeScript/Node.js, Java, Python, or a similar language
• Experience designing and operating production distributed systems, APIs, databases, and asynchronous workflows
• Strong understanding of authentication, authorization, sessions, tokens, identity protocols, and secure API design
• Experience building secure, reliable systems that handle sensitive data and enforce access controls
• Familiarity with cloud infrastructure, containers, Kubernetes, CI/CD, and production observability
• Strong system-design skills and the ability to make sound technical tradeoffs
• Clear written and verbal communication skills, including the ability to influence across teams
• A practical ownership mindset: comfortable debugging production issues and improving systems end to end

Desirable

• We are hiring a Senior Software Engineer to build and evolve the foundational systems that power our products. This role focuses on backend platform engineering, authentication and authorization, developer infrastructure, and secure AI-assisted automation
• You will work on high-impact systems used across the organization: identity, access control, APIs, asynchronous workflows, shared services, and background agents that help internal teams investigate and resolve operational issues
• Design, build, and operate reliable backend services and shared platform capabilities
• Lead technical design for APIs, distributed systems, data storage, workflow orchestration, and service integrations
• Build secure authentication and authorization systems for users, partners, services, and API clients
• Develop and maintain login flows including SSO, OAuth/OIDC, MFA, session management, token lifecycle, and role- or scope-based access control
• Improve platform security through strong access controls, auditability, secrets management, tenant isolation, and secure service-to-service communication
• Build background-agent systems that automate support and operational workflows while maintaining clear safety controls and human oversight
• Develop integrations with collaboration, ticketing, source-control, and internal operational tools
• Create safe AI-agent execution patterns, including isolated runtimes, scoped permissions, tool allowlists, approval workflows, and output-safety checks
• Improve reliability and operability through monitoring, tracing, incident response, testing, and performance engineering
• Partner with product, security, infrastructure, and support teams to turn complex requirements into scalable platform capabilities
• Mentor engineers, contribute to technical standards, and lead design discussions across teams
• Lead complex projects, make strong architectural decisions, and improve the systems around them
• Set technical direction for broader areas, align teams around platform investments, and create leverage through mentorship, standards, and architecture
• Our work includes:
• Go, TypeScript, and Node.js
• RESTful APIs and distributed services
• PostgreSQL, MongoDB, and event-driven systems
• Workflow orchestration and asynchronous job processing
• Docker, Kubernetes, cloud infrastructure, and CI/CD
• OAuth 2.0, OIDC, SAML, JWTs, MFA, RBAC, API scopes, and service authentication
• Observability tooling, including metrics, logs, tracing, and alerting
• AI-agent frameworks, tool calling, secure execution environments, evaluations, and human-in-the-loop workflows