Software Engineer - Full Stack Java Developer

Location: Austin, TX (Must be able to work onsite 4 days per week from day one.)

Job Details

Software Engineer - Full Stack Java Developer with a focus on Secure Authentication and Identity.

As a member of the Enterprise Middleware and Online Security Technology team, this role is for an engineer who can own complex features, contribute to design decisions, and deliver secure, scalable authentication capabilities. The successful candidate will help build and support enterprise web applications and modern authentication journeys. This role requires strong engineering judgment, production support discipline, and the ability to partner with product, security, fraud, risk, architecture, and platform stakeholders.

It also requires practical use of AI-assisted engineering workflows across the software development lifecycle.

Key Responsibilities

• Own design, development, testing, and support for complex application components and secure authentication capabilities.
• Partner with product owners, SCRUM masters, architects, and engineers to decompose features, estimate delivery effort, and meet sprint commitments.
• Design and implement secure, resilient, user-friendly authentication journeys using risk signals, telemetry, and policy-based decisioning.
• Contribute to Passwordless Login, FIDO2/WebAuthn/passkey, Risk Based Authentication, and modern identity solutions.
• Build and consume REST APIs, gateway patterns, and reusable services that align with platform principles and architectural standards.
• Maintain high standards for automated testing, CI/CD, code quality, security scanning, observability, and release readiness.
• Troubleshoot time-critical production situations with strong ownership and sound technical judgment.
• Mentor less-experienced engineers through code reviews, design discussions, and knowledge sharing.
• Use AI-assisted engineering tools across SDLC activities, including implementation, refactoring, unit testing, scripting, troubleshooting, and documentation.
• Apply agentic and spec-driven development practices by converting design inputs into structured prompts for AI-assisted implementation.
• Validate AI-generated recommendations, code, tests, and documentation using strong engineering judgment and secure coding practices.
• Share practical learnings with peers on effective prompt usage and responsible AI-assisted development patterns.

Qualifications

• Bachelor's or master's degree in Computer Science, Engineering, or equivalent practical experience.
• 5+ years of experience developing enterprise applications using Java, JavaScript, and modern web frameworks; Angular preferred.
• Experience developing secure web applications and building or consuming REST APIs.
• Experience with Spring Boot, Spring Cloud Gateway or similar gateway patterns, and service-based architectures.
• Experience with automated testing frameworks such as JUnit, Karma, Cucumber, or similar tools.
• Experience with MongoDB, PostgreSQL, or similar data platforms.
• Experience with CI/CD technologies, code quality tooling, and secure engineering practices.
• Experience with observability and log analysis using tools such as Splunk, BigQuery, or Grafana.
• Understanding of OAuth, SAML, JWT, and modern authentication concepts.
• Ability to research and apply evolving identity standards and industry practices.
• Hands-on experience or practical exposure using GenAI coding assistants such as GitHub Copilot or similar tools.
• Ability to use AI assistance for common engineering tasks while retaining ownership for correctness and quality.
• Working familiarity with agentic workflows, spec-driven development, and structured prompting for AI-assisted software delivery.
• Ability to validate AI-assisted outputs for correctness, security, and alignment with design intent.

Preferred Qualifications

• Experience designing or implementing Passwordless Login, FIDO2/WebAuthn/passkeys, or modern authentication journeys.
• Experience with Risk Based Authentication concepts including risk scoring and policy-based access decisions.
• Experience deploying containerized applications to GCP, AWS, or similar cloud platforms.
• Experience with GitHub Actions, Bamboo, Sonar, Blackduck, Veracode, or similar CI/CD and code security tooling.
• Familiarity with NIST identity standards and financial services technology environments.
• Performance testing or performance engineering experience.
• Experience applying AI-assisted development practices to improve delivery velocity or developer productivity.
• Exposure to Large Language Models or AI-enabled engineering workflows in enterprise or regulated environments.