Systems Engineer [AQ-17334]

About the role

Are you an independent and passionate engineer eager to own complex features and contribute to critical design decisions? We are seeking a talented individual to join a dynamic engineering team focused on enterprise middleware and online security technology. In this role, you will be instrumental in building and supporting sophisticated enterprise web applications and spearheading modern authentication journeys, including Passwordless Login and Risk Based Authentication. Your contributions will directly enhance the security posture and user experience for a vast user base, making a significant and visible impact on the core services that power our operations.

Responsibilities

• Own the full lifecycle of complex application components and secure authentication capabilities, from design and development to testing and support.
• Collaborate closely with product owners, SCRUM masters, architects, and fellow engineers to break down features, estimate effort, and consistently meet delivery commitments.
• Engineer secure, resilient, and user-friendly authentication journeys, leveraging risk signals, telemetry, and sophisticated policy-based decisioning.
• Drive innovation in modern identity solutions, contributing to initiatives like Passwordless Login, FIDO2/WebAuthn/passkey, and Risk Based Authentication.
• Develop and integrate robust REST APIs, implement gateway patterns, and create reusable services that adhere to architectural standards and platform principles.
• Champion high standards for automated testing, CI/CD pipelines, code quality, security scanning, observability, and release readiness.
• Provide expert production support for high-stress, time-critical situations, demonstrating strong ownership and sound technical judgment to ensure system stability.
• Act as a mentor to less-experienced engineers, fostering growth through insightful code reviews, design discussions, and knowledge sharing.
• Actively utilize AI-assisted engineering tools throughout the software development lifecycle, including implementation, refactoring, unit testing, regression support, code review preparation, scripting, troubleshooting, and documentation, to enhance efficiency and quality.
• Apply agentic and spec-driven development practices, converting design inputs such as API contracts, data models, and integration details into structured prompts or specifications for AI-assisted implementation.
• Rigorously validate AI-generated recommendations, code, tests, and documentation, applying strong engineering judgment, secure coding practices, and established team quality standards.
• Share practical learnings and best practices with peers on effective prompt usage, custom instructions, and responsible AI-assisted development patterns.

Requirements

• 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.
• Proficiency with automated testing frameworks such as JUnit, Karma, Cucumber, BDD, accessibility testing, or similar tools.
• Experience with MongoDB, PostgreSQL, or similar data platforms.
• Familiarity 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.
• 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 (e.g.,