Systems Engineer

Aquent is thrilled to partner with a leading organization that stands at the forefront of innovation, dedicated to empowering individuals and businesses through cutting-edge technology. This company is renowned for its unwavering commitment to security, scalability, and delivering exceptional digital experiences to its vast user base. Joining this team means becoming part of a culture that values engineering excellence, continuous learning, and making a tangible impact on millions of lives.

Step into a pivotal role where your passion for engineering will drive the future of digital security! As a key contributor, you will take ownership of complex features, shape critical design decisions, and deliver secure, scalable authentication capabilities that not only protect users but also fuel innovation across a wide array of digital services. Imagine being instrumental in building and supporting enterprise web applications and modern authentication journeys, including revolutionary Passwordless Login and sophisticated Risk-Based Authentication systems. This is your unparalleled opportunity to directly enhance the security posture and user experience for millions, influencing foundational security infrastructure and driving the adoption of next-generation authentication methods that will redefine user trust and the digital landscape.

What You'll Do

• Design, develop, test, and support critical application components and secure authentication features.
• Collaborate seamlessly with product owners, SCRUM masters, architects, and fellow engineers to define, estimate, and deliver features, ensuring timely releases and collective success.
• Innovate and implement secure, resilient, and user-friendly authentication experiences leveraging advanced risk analysis and policy-based decisioning.
• Drive the evolution of modern identity solutions, including Passwordless Login, FIDO2/WebAuthn/passkeys, and Risk-Based Authentication, shaping the future of secure access.
• Architect and develop robust REST APIs, gateway patterns, and reusable services, adhering to best practices and architectural standards that ensure scalability and reliability.
• Uphold and advance high standards for automated testing, CI/CD pipelines, code quality, security, and observability, ensuring seamless, high-quality releases.
• Provide expert production support, troubleshooting critical issues with strong ownership and technical acumen, minimizing impact and ensuring continuous service.
• Mentor and guide less-experienced engineers, fostering a culture of technical excellence through impactful code reviews and comprehensive knowledge sharing.
• Leverage cutting-edge AI-assisted engineering tools throughout the SDLC to enhance efficiency, quality, and innovation in development, testing, and documentation.
• Apply agentic and spec-driven development practices, translating design inputs into structured prompts for AI-assisted implementation.
• Critically validate AI-generated outputs, ensuring adherence to secure coding practices and high-quality standards.
• Share insights and best practices for effective and responsible AI-assisted development with the team, contributing to collective growth.

What You'll Bring

• 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).
• 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, BDD, or accessibility testing.
• 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.
• Solid 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 within IDE, CLI, or developer workflow environments.
• Ability to use AI assistance for common engineering tasks such as code suggestions, test generation, refactoring support, review preparation, troubleshooting, automation scripts, and documentation while retaining ownership for correctness and quality.
• Working familiarity with agentic workflows, spec-driven development, structured prompting, and custom instructions for AI-assisted software delivery.
• Ability to validate AI-assisted outputs for correctness, security, maintainability, and alignment with design intent.

Bonus Points That Set You Apart

• 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, device signals, behavioral signals, 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.
• Performance testing or performance engineering experience.
• Experience applying AI-assisted development practices to improve delivery velocity, test coverage, troubleshooting efficiency, documentation quality, or developer productivity.
• Exposure to Large Language Models or AI-enabled engineering workflows in enterprise, regulated, or security-sensitive technology environments.