Agentic Java Developer

Agentic Java Developer

Location:

Austin, TX (Hybrid)

Role Overview

This role is designed for an independent 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 various stakeholders.

Key Responsibilities

• Own design, development, testing, and support for complex application components and secure authentication capabilities.
• Partner with product owners, architects, and engineers to decompose features, estimate delivery effort, and meet sprint and release commitments.
• Design and implement secure, resilient, user-friendly authentication journeys using risk signals, telemetry, and policy-based decisioning.
• Contribute to Passwordless Login, FIDO2/Web Authn/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, code quality, security scanning, observability, and release readiness.
• Troubleshoot high-stress and time-critical production situations with strong ownership and technical judgment.
• Mentor less-experienced engineers through code reviews, design discussions, and knowledge sharing.
• Use AI-assisted engineering tools across day-to-day software development lifecycle activities.
• Apply agentic and spec-driven development practices by converting design inputs into structured prompts or specifications.
• 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.

Required Qualifications

Education:

Bachelor's degree or master's degree in Computer Science, Engineering, or equivalent practical experience.

Experience:

5+ years of experience developing enterprise applications using Java, JavaScript, and modern web frameworks;
Angular preferred.

Technical

Skills:

• Strong 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, Big Query, Grafana, or similar platforms.
• Understanding of OAuth, SAML, JWT, and modern authentication concepts.
• Ability to research and apply evolving identity standards and industry practices to scalable solutions.
• Hands-on experience or demonstrated practical exposure using GenAI coding assistants such as Git Hub Copilot, Claude Code, or similar tools.
• Ability to use AI assistance for common engineering tasks such as code suggestions, test generation, and documentation while retaining ownership for correctness.
• 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, maintainability, and alignment with design intent.

Preferred Qualifications

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

How to Apply

Please ensure a link to your Github profile is included at the top of your resume. Qualified candidates may be asked to complete an AI assessment.