Senior Java Engineer

Job Title: Senior Java Engineer

Duration (Contract): 14 Months

Client Location: Austin, TX

Location Preference: Hybrid

Job Description:
As a Java Engineer , you will design, develop, test, and support secure enterprise web applications and modern authentication solutions. This role focuses on building scalable, resilient, and user-friendly identity and access management capabilities, including Passwordless Login, Risk-Based Authentication, and API-driven services within a service-oriented architecture. You will collaborate with product owners, architects, security teams, and engineering stakeholders to deliver high-quality software while maintaining ownership across the full software development lifecycle. The ideal candidate will possess strong expertise in Java development, secure application design, API development, authentication technologies, and AI-assisted software engineering practices.

Key Responsibilities:

• Own the design, development, testing, deployment, and support of complex application components and authentication services.

• Collaborate with product owners, Scrum teams, architects, and stakeholders to define requirements, estimate effort, and deliver solutions aligned with sprint and release commitments.

• Design and implement secure authentication experiences using risk signals, telemetry, and policy-based decision-making.

• Contribute to Passwordless Login, FIDO2, WebAuthn, passkey authentication, and modern identity management initiatives.

• Develop and consume RESTful APIs, gateway-based integrations, and reusable services aligned with enterprise architecture standards.

• Ensure high standards for automated testing, CI/CD, code quality, security scanning, observability, and production readiness.

• Troubleshoot and resolve production issues while performing root cause analysis and implementing long-term solutions.

• Mentor junior engineers through code reviews, technical discussions, and knowledge-sharing activities.

• Utilize AI-assisted engineering tools for development, refactoring, testing, troubleshooting, scripting, automation, and documentation.

• Apply agentic and spec-driven development methodologies using structured prompts and technical specifications.

• Validate AI-generated code, testing assets, and documentation to ensure security, accuracy, maintainability, and quality.

• Promote responsible AI-assisted development practices and share best practices with team members.

Required Skills, Experiences, Education, and Competencies:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent professional experience.

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

• Strong experience with Angular or similar front-end technologies.

• Proven expertise developing secure web applications and building or consuming RESTful APIs.

• Experience with Spring Boot, Spring Cloud Gateway, and service-oriented or microservices-based architectures.

• Hands-on experience with automated testing frameworks such as JUnit, Karma, Cucumber, BDD frameworks, accessibility testing tools, or similar technologies.

• Experience working with MongoDB, PostgreSQL, or similar relational and NoSQL databases.

• Experience with CI/CD pipelines, secure software development practices, deployment automation, and code quality tools.

• Strong knowledge of observability, monitoring, and log analysis tools such as Splunk, Grafana, BigQuery, or similar platforms.

• Understanding of OAuth, SAML, JWT, authentication protocols, and modern identity management concepts.

• Ability to research, apply, and implement evolving identity standards and industry best practices.

• Hands-on experience using AI-assisted development tools such as GitHub Copilot, Claude Code, or comparable coding assistants.

• Experience leveraging AI tools for code generation, test creation, refactoring, troubleshooting, automation, and documentation.

• Working knowledge of agentic workflows, structured prompting, custom instructions, and spec-driven software development.

• Ability to validate AI-assisted outputs for quality, correctness, security, maintainability, and alignment with architectural standards.

• Experience designing or implementing Passwordless Login, FIDO2, WebAuthn, passkey authentication, or modern identity solutions is preferred.

• Experience with Risk-Based Authentication, risk scoring, device intelligence, behavioral analytics, and policy-based access controls is preferred.

• Experience deploying containerized applications to AWS, GCP, or similar cloud platforms is desirable.

• Familiarity with GitHub Actions, Bamboo, SonarQube, Black Duck, Veracode, or similar DevOps and security tools is a plus.

• Knowledge of NIST identity standards and highly regulated enterprise environments is preferred.

• Experience with performance testing, scalability analysis, and performance engineering practices is beneficial.

• Exposure to Large Language Models (LLMs) and AI-enabled engineering workflows within enterprise environments is preferred.

• Strong analytical thinking, software design, system architecture, application support, deployment, and troubleshooting skills.

• Excellent communication, collaboration, and stakeholder engagement abilities.

The hourly range for roles of this nature are $60.00 to $80.00/hr. Rates are heavily dependent on skills, experience, location, and industry.

cyberThink is an Equal Opportunity Employer.