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Blend

Software Engineer - Platform Foundation

United States; United States United States
Engineering- Blend Labs
POSTED 11 SEPTVERIFIED 6H AGO
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Role
59 days opentrue age
Posted 11 Sept
Pay
$126k–$200kno pay posted
Market p25–p75
$126k–$200k
United States · n=5885 · 365d to 6 Nov
CompanyBlend →
13open roles
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37,612open · Software engineering
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TypeScriptJavaScriptNode.jsPythonGoJavaPostgreSQLMongoDBKubernetesDockerDistributed systems

Blend is a diverse team of problem solvers who believe that the world’s financial resources should be more accessible. Our cloud banking platform is used by Wells Fargo, U.S. Bank, and over 330 other financial services firms to acquire more customers, increase productivity, and deliver end-to-end digital experiences. Our software enables our customers to process an average of more than $5 billion in loans per day, making it possible for consumers to reach their financial goals faster and lead better lives. Come do work that matters.

Software Engineer — Platform Foundations

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.

What you'll do

  • 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.

Technical environment

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

What we're looking for

  • 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.
Source · BlendFirst seen 2 NovOriginal ↗