Agentic Java Developer

Everforth Apex
Austin, TX, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) JavaScript (Programming Language) Artificial Intelligence Amazon Web Services Component-Based Software Engineering User Authentication Automation of Tests BigQuery Code Coverage Software Quality Code Review Continuous Integration
+33 more
Github Junit PostgreSQL Log Analysis MongoDB OAuth Software Tools JSON Web Token Security Assertion Markup Language (SAML) Web Application Security Software Engineering SONAR (Symantec) Web Application Frameworks Google Cloud Enterprise Software Applications Performance Testing Spring Cloud GitHub Copilot Large Language Models Grafana Spring-boot Software Security Veracode AngularJS Information Technology Synopsys Black Duck Data Management Virtual Agents Restful APIs Cucumber (Software) Splunk Atlassian Bamboo Vulnerability Analysis

Job description

  • 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/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, 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.

Requirements

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, BigQuery, 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 GitHub 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/WebAuthn/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 Google Cloud Platform, AWS, or similar cloud platforms.
  • Experience with GitHub 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.

About the company

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.

Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at

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