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EA

Senior Staff Software Engineer

EarnIn
Mountain View, United StatesRemotefull_timeVerifiedPosted 18 Aug 2026
💰 $341,000/yr($279,000/yr$341,000/yr)

About the role

About EarnIn

As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.

We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.

POSITION SUMMARY

We're looking for an exceptional Senior Staff Software Engineer to help define and evolve the Identity & Trust platform that enables secure, effortless access and trustworthy customer onboarding across EarnIn's expanding consumer and enterprise ecosystem. This role spans identity, authentication, authorization, identity verification, privacy, data protection, secure document processing, user/entity resolution, and fraud prevention. You'll architect foundational capabilities that are consumed across the company—from establishing that a customer is who they claim to be, to protecting their sensitive information, securely handling identity documents, and ensuring duplicate or abusive identities are detected and prevented.

As a Senior Staff Engineer, you'll operate at both a deep technical and organizational scale. You'll shape multi-year platform strategy, lead architecture across multiple teams, solve ambiguous and high-impact technical problems, and establish engineering patterns that allow teams across EarnIn to build trusted customer experiences safely and quickly. You'll also help define how AI and agentic engineering workflows can safely amplify engineering productivity, while establishing appropriate guardrails for security, privacy, correctness, and operational reliability. The base salary range for this full-time position is $279,000-$341,000 + equity + benefits. Our salary ranges are determined by role, level, and location. This hybrid position requires in-person work from our Mountain View HQ 2 days a week.

WHAT YOU'LL DO

  • Set Platform Strategy & Architecture: Define the technical vision, architecture, and multi-year roadmap for Identity & Trust, establishing scalable patterns across authentication, authorization, KYC/identity verification, PII protection, secure document processing, deduplication, and related trust capabilities.
  • Lead High-Impact Technical Initiatives: Drive complex, ambiguous initiatives spanning multiple services and teams—from problem definition and architecture through implementation, rollout, and long-term operation.
  • Build Secure, Resilient Infrastructure: Design highly available distributed systems and APIs using microservices, event-driven architectures, and technologies such as Kubernetes, Kafka, DynamoDB, and MySQL, with strong emphasis on security, privacy, reliability, and regulatory requirements.
  • Evolve Identity & Trust Capabilities: Architect solutions for OAuth 2.0, OpenID Connect, SAML, RBAC/ABAC, MFA, identity federation, KYC, PII tokenization, data vaulting, secure file ingest/scanning, and user/entity deduplication.
  • Create Organizational Leverage: Establish reusable architecture patterns, technical standards, APIs, documentation, and platform primitives that enable product teams to safely consume Identity & Trust capabilities without reinventing foundational security and compliance solutions.
  • Drive Operational Excellence: Set the bar for reliability, observability, SLOs, incident response, capacity planning, disaster recovery, and production readiness across critical Trust infrastructure.
  • Advance AI-Powered Engineering: Lead the responsible adoption of agentic workflows and multi-agent systems to automate engineering, testing, debugging, operations, and analysis, with appropriate evaluation, security, and human-in-the-loop guardrails.
  • Multiply Engineering Talent: Mentor Staff and Senior engineers, influence technical direction across organizations, and raise the bar through architecture reviews, technical RFCs, design reviews, and hands-on technical leadership.
  • Partner Across the Company: Work closely with Product, Security, Risk, Data Science, Design, Analytics, Infrastructure, Compliance, and executive stakeholders to translate customer, business, security, and regulatory needs into durable technical strategies.

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Company

EarnIn

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