Full Stack Software Engineer

<p><span data-teams='true'><strong>When applying for this position, please ensure you use your <u>external-facing profile / resume</u> to avoid screening rejection</strong>.</span></p><p>We are seeking an experienced Full-Stack Software Engineer to join our team as a backfill replacement. This role is critical to maintaining continuity on our current engineering initiatives and requires a hands-on developer who is comfortable working across the full technology stack — from backend microservices to front-end user interfaces, deployed and managed in a cloud-native environment.</p><p>The ideal candidate will bring strong expertise in Core Java/Spring Boot for backend/microservices development, combined with solid front-end development skills using Angular, React, and HTML to build responsive, user-friendly interfaces. Strong SQL skills are essential for data modeling, writing efficient queries, and working with relational databases that support our applications. Practical, hands-on experience deploying and managing services on Google Cloud Platform (GCP) is essential, as our applications are built and operated in a cloud-native architecture. Experience with Terraform for infrastructure-as-code and GitHub for source control and collaborative development workflows is also required to support our DevOps practices.</p><p>Security and code quality are top priorities for this role. The candidate will be expected to perform security checks throughout the development lifecycle, leveraging tools such as Fossa for open-source license and vulnerability scanning, Checkmarx for static application security testing (SAST), 42Crunch for API security testing, and Sonar (SonarQube) for static code analysis and code quality checks. Experience with Apigee for API publishing and management is also required, as APIs developed by this team are published and governed through the Apigee platform.</p><p>Additionally, familiarity with Python and exposure to AI/machine learning concepts will be considered a strong added advantage, as our teams increasingly integrate intelligent automation and data-driven features into our applications.</p> <p><span data-teams='true'><strong>When applying for this position, please ensure you use your <u>external-facing profile / resume</u> to avoid screening rejection</strong>.</span></p><ul><li>&nbsp;</li><li>Design, develop, test, and maintain full-stack applications using Java / Spring Boot microservices architecture.</li><li>Build responsive, dynamic front-end interfaces using Angular, React, and HTML.</li><li>Develop, deploy, and manage cloud-native applications and services on Google Cloud Platform (GCP).</li><li>Author and maintain Infrastructure-as-Code (IaC) using Terraform to provision and manage cloud resources.</li><li>Manage source code, branching, pull requests, and version control workflows using GitHub.</li><li>Perform application security checks and remediate vulnerabilities identified through security scanning tools throughout the SDLC.</li><li>Use Fossa to scan for open-source license compliance and dependency vulnerabilities.</li><li>Use Checkmarx to run static application security testing (SAST) and remediate identified vulnerabilities in source code.</li><li>Use 42Crunch to conduct API security testing and enforce secure API design and development practices.</li><li>Publish, manage, and govern APIs using Apigee, ensuring proper versioning, access control, and documentation.</li><li>Run static code analysis using Sonar (SonarQube) and address code quality, maintainability, and security issues identified.</li><li>Collaborate with cross-functional teams (product owners, architects, QA, DevOps, and security teams) to deliver high-quality, secure software on schedule.</li><li>Write and optimize complex SQL queries, stored procedures, and database schemas to support application functionality and performance.</li><li>Participate in code reviews, design discussions, and architecture decisions to ensure scalability, security, and performance.</li><li>Troubleshoot, debug, and optimize application performance across the stack, including front-end and database query performance.</li><li>Implement CI/CD pipelines and integrate automated security and quality gates (Fossa, Checkmarx, Sonar, 42Crunch) into the build/deploy process.</li><li>Write clean, maintainable, and well-documented code following best practices and coding standards.</li><li>Participate in planning, stand-ups and contribute to continuous process improvement.</li><li>Explore opportunities to leverage Python and AI/ML capabilities to enhance application features, automation, and data insights, where applicable.</li><li>Support knowledge transfer and documentation as part of the backfill transition.</li></ul> <ul><li>Strong hands-on experience with Core Java/Spring Boot microservices development.</li><li>Solid front-end development experience with Angular, React, and HTML.</li><li>Familiarity in SQL, including query optimization, database design, and working with relational databases.</li><li>Practical, hands-on experience with cloud-native deployment and services on Google Cloud Platform (GCP).</li><li>Hands-on experience with Terraform for infrastructure-as-code provisioning and management.</li><li>Proficiency with GitHub for version control, branching strategies, and collaborative development.</li><li>Experience with application security practices, including vulnerability scanning and remediation.</li><li>Familiarity with Fossa (open-source license/vulnerability scanning), Checkmarx (static application security testing), 42Crunch (API security testing), Sonar/SonarQube (static code analysis), and Apigee (API publishing and management).</li><li>Experience building, securing, and consuming RESTful APIs.</li><li>Understanding of software engineering best practices, including CI/CD and automated testing.</li><li>Strong problem-solving skills and ability to work independently as well as collaboratively in a team environment.</li><li><strong>Added Advantage:</strong></li><li>Working knowledge of Python programming.</li><li>Exposure to or hands-on experience with AI/Machine Learning concepts, frameworks, or applications.</li></ul>