Jobs · Engineering · California

Principal Software Engineer, Java

Happen Bank · San Francisco, CA · 1 mo ago
HybridEngineeringFull-time

About the role

The Dynamic Application Platform is the engine behind Happen Bank's consumer product suite - a graph-driven orchestration platform that lets product teams compose, launch, and evolve application experiences across lending, deposits, and beyond. As a Principal Backend Engineer on this team, you'll set the technical direction for the platform and keep it reliable and performant as consumer volume grows, staying hands-on in the code every day. This is a high-visibility role with impact across every consumer-facing product that builds on the platform.

Responsibilities

  • Set the architecture and technical direction for the Dynamic Application Platform, defining the patterns and standards that let it scale across every consumer product that depends on it
  • Design and build core platform services in Java and Spring Boot, staying hands-on in production code and setting the bar for quality through the work itself
  • Own the reliability, availability, and performance of the platform under growing consumer traffic, hardening the orchestration and graph engine and its integrations across many downstream services
  • Lead complex, ambiguous technical initiatives from system design through delivery, including modernizing the platform's foundations where it unlocks better outcomes
  • Establish platform-wide engineering standards and guardrails, and drive alignment on shared architecture across multiple consumer product teams
  • Raise the bar for how AI shows up in the team's work and in the platform itself - using AI to accelerate design, development, and review, and helping embed AI capabilities into the platform where they improve outcomes, while setting responsible-use standards for quality, data integrity, and maintainability
  • Partner with product and engineering leadership to translate business goals into technical strategy and a platform roadmap
  • Mentor and grow senior engineers through design review, pairing, and technical coaching, multiplying the team's impact well beyond your own output

Requirements

  • 10+ years of backend software engineering experience, and a bachelor's degree or higher, or equivalent combination of education and work experience
  • Deep expertise building backend services in Java and Spring Boot, with strong command of AWS, and both relational and NoSQL data stores
  • A track record designing distributed systems for high availability and resilience at consumer scale, along with clean, well-versioned APIs and service contracts across many integrated services
  • Fluency modeling complex application logic as workflows, graphs, state machines, or configuration, and reasoning clearly about how those models behave at runtime
  • You lead with strategy and system design while staying deeply hands-on, setting technical direction that other engineers build on
  • You bring sound judgment to high-stakes, ambiguous problems and make decisions that balance speed against long-term maintainability, security, and cost
  • You apply AI to complex engineering work to unlock better outcomes, not just speed, and you hold a high bar for responsible use - security, data integrity, model governance, and the long-term cost of decisions made in the name of speed
  • You multiply the people around you, mentoring senior engineers, elevating standards, and building alignment across teams through influence rather than authority

Qualifications

  • Nice to have experience in financial services, lending, or another regulated domain, along with familiarity with the compliance considerations that come with it
  • Hands-on experience building graph-based, workflow, or rules-engine orchestration platforms that other teams build on top of

Skills

  • Experience with Java and Spring Boot
  • Experience with AWS
  • Experience with relational and NoSQL data stores
  • Experience with distributed systems for high availability and resilience
  • Experience with clean, well-versioned APIs and service contracts
  • Experience with modeling complex application logic as workflows, graphs, state machines, or configuration
  • Experience with AI to unlock better outcomes

Benefits

  • Medical, dental, and vision plans for employees and their families
  • 401(k) match
  • Health and wellness programs
  • Flexible time off policies for salaried employees
  • Up to 16 weeks paid parental leave

Pay

The target base salary range for this position is $197,000 - $232,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of Happen Bank's Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings).

Schedule

We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role's success, and remote placement will not be considered.

Notice on AI Tool Use

For select roles and locations, candidate interviews may be recorded, transcribed and summarized by tools such as artificial intelligence (AI) to assist our hiring managers with the application process. You will have the opportunity to opt out of recording, transcription, and summarization prior to any scheduled interviews. We will not discriminate against you if you choose to opt out. During the interview, we will collect the following categories of personal information from or about you: contact information, identifiers, professional and employment-related information, sensory information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment. We will only share your interview, transcription, or summary with persons whose expertise or technology is necessary to process your application, evaluate your fitness for a position, and administer or support the tool. We will not sell your personal information or disclose it to any third party for their marketing purposes. For more information about how we will handle your personal information, please refer to our Privacy Disclosure. We will delete any recording of your interview promptly but in no event later than 30 days after making a hiring decision.

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