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Axos Bank

Digital bank offering integrated financial services

Head of Engineering - SVP

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSan Diego, CA, USA$240k - $325k /yr

About the Job

Requirements

  • A bachelor's degree in a related field or higher is required.
  • At least 10 years of engineering leadership experience, including direct leadership of development, quality assurance, and/or business analysis organizations of 300 or more people.
  • A deep, hands-on technical background with current fluency in modern application architecture and technologies such as API-first design, microservices, Redis, and continuous integration and continuous delivery; the candidate must have personally written production code or led technical implementation and be able to evaluate and challenge technical decisions.
  • Deep working knowledge of modern financial infrastructure, including banking and securities cores, fiat and securities settlement, and crypto and blockchain systems, along with willingness to rapidly learn as the technology evolves.
  • Personal experience leading a major project delivery rescue by stepping into a failing initiative and turning it around.
  • A track record of setting multi-year technology or engineering strategy for a large development organization, including build-versus-buy and platform investment decisions.
  • A demonstrated track record of building or transforming delivery operating models at scale, with measurable improvements in velocity, predictability, or quality attributable to organizational and process changes led by the candidate.
  • Hands-on experience with AI tooling in the AI-driven development lifecycle, including deploying autonomous or semi-autonomous agents in testing, code review, or requirements workflows beyond AI-assisted development.
  • Deep expertise building and operating customer-facing digital products where performance, latency, and experience quality are primary engineering concerns.
  • Experience in a regulated industry with direct accountability for delivery practices that meet compliance and audit requirements.

Responsibilities

  • Own the multi-year engineering and technology strategy for the Consumer, Securities & Wealth, AUC, and Philippines-based development organizations, translating business priorities into technical roadmaps.
  • Own application architecture and engineering standards across four engineering groups, replacing legacy technical debt with modern, maintainable patterns such as API-first design and service-oriented design.
  • Set the technology and tooling direction for the organization, ensuring teams build on modern, well-supported platforms that scale, run reliably at low latency, and support 24x7 uptime.
  • Evaluate and adopt relevant new tools, frameworks, and architectural patterns.
  • Make build-versus-buy and platform investment decisions, weighing speed, cost, and long-term technical health.
  • Partner with peer technology verticals to implement the platform and tooling infrastructure required for AI-driven development at scale in a regulated banking environment.
  • Maintain a 12- to 24-month delivery capacity outlook that informs product roadmap feasibility and planning.
  • Lead, develop, and hold accountable the engineering leaders of the Consumer, Securities & Wealth, AUC, and Philippines-based development organizations.
  • Own delivery predictability as an organizational capability by improving cadences, rituals, and accountability structures across the four groups.
  • Define and operate cross-team dependency management, surfacing coupling risks across co-dependent platforms and resolving conflicts before they become delivery failures.
  • Build and maintain engineering culture, career frameworks, and talent standards across development, quality assurance, and business analysis disciplines in partnership with Human Resources and the Centers of Excellence.
  • Personally step in when a critical delivery is off track to assess technical blockers, work directly with engineers and leads, and make technical and organizational decisions to get it back on schedule.
  • Implement the AI-driven development lifecycle roadmap across four engineering groups, moving beyond AI-assisted coding to autonomous agents that build, test, review, and ship software.
  • Measure the impact of AI-driven development tooling using delivery measures such as cycle time, defect escape rate, engineer throughput, and time to production.
  • Surface and resolve gaps between enterprise AI tooling standards and team needs in live delivery.
  • Enable Model Context Protocol interfaces across platforms for internal agentic tooling and external-facing integrations.
  • Set and enforce the engineering quality bar across customer-facing web and mobile platforms and back-office applications.
  • Own platform performance standards, including low-latency response times, reliability service-level agreements, accessibility compliance, and user experience consistency.
  • Build quality assurance and performance testing into the delivery pipeline as a continuous, automated function; champion shift-left testing and AI-augmented quality practices across all four groups.
  • Establish and track customer-facing performance benchmarks, use data to drive engineering investment decisions, and communicate quality posture to stakeholders.
  • Partner with shared-capability leaders in architecture, DevOps, security, quality engineering tooling, and AI-driven development infrastructure to ensure those capabilities are roadmapped to support the teams' delivery.
  • Collaborate with product leadership to make engineering strategy, constraints, and AI-enabled delivery capacity upstream inputs to roadmap decisions.
  • Represent the engineering organization in senior leadership conversations, translating strategy, delivery health, technical risk, and capability investment needs into business terms for board-level reporting.
  • Partner with Risk, Compliance, and the Chief Information Security Officer to ensure AI-driven development and delivery practices meet regulatory standards for a federally chartered bank.

Desired Qualifications

  • Practical experience building enterprise-grade applications on OutSystems, including architecture patterns, performance tuning, integration design, and OutSystems Developer Cloud versus OutSystems 11 tradeoffs.
  • Background in financial services, fintech, digital banking, payments, or wealth management technology.
  • Experience managing business analysis as an organizational function and understanding how upstream business analysis quality affects downstream delivery quality.
  • Familiarity with AI-driven development lifecycle frameworks and autonomous pipeline tooling, such as agent-based test generation, large language model-in-the-loop pull request review, and autonomous deployment validation.
  • Experience managing delivery across co-dependent, multi-platform environments where release sequencing and dependency management are first-class engineering concerns.

About the Company

Axos Bank

Digital bank offering integrated financial services

Axos Bank is a financial institution that offers banking, investing, clearing, and custody services in a single platform. It provides traditional banking products for individuals and businesses, and integrates services across money management, investment, and settlement functions to simplify finances. The company operates as a digital-first bank, aiming to connect multiple financial services under one provider rather than requiring customers to use several firms. Its product approach centers on merging banking with other financial services to create a unified experience—one firm with many ways forward. Axos’s goal is to make money work smarter for customers by offering accessible, connected financial solutions and broadening the scope of what a bank can do for individuals, businesses, and institutions.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
San Diego, CA
Founded
1999

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