Fullstack Engineer - Java

Responsibilities:
• Develop and maintain front-end applications with Angular, ensuring high usability and performance.
• Build and optimize backend services in Java to support scalable data processing and retrieval.
• Integrate Elasticsearch to facilitate advanced search functionalities and efficient data indexing.
• Automate complex data workflows using Alteryx to streamline data pipelines.
• Connect to and leverage Bedrock and OpenAI APIs for AI/ML-enabled features and enhancements.
• Collaborate with cross-functional teams to deliver high-quality, integrated solutions aligned with strategic goals.
• Conduct code reviews, testing, and documentation to ensure code quality and maintainability.
• Stay current with emerging technologies to continuously improve development practices.
• Collaborate with product owners, UX/UI designers, and backend teams to develop new features and enhancements.
• Write clean, efficient, and well-documented code, performing unit and integration testing.
• Conduct regular code reviews and participate in team planning sessions.
• Troubleshoot, debug, and optimize existing applications for performance and reliability.
• Implement AI/ML features by integrating Bedrock and OpenAI APIs, ensuring ethical and compliant use.
• Participate in stand-ups, sprint planning, and retrospectives within an Agile environment.
• Contribute to continuous improvement initiatives, including automation and architectural refinement.

Requirements:
• Angular (v10+): Experience in building responsive and user-centric front-end applications.
• Java (Java 8 or higher): Proficiency in developing scalable backend services and APIs.
• Elasticsearch (v6+): Strong experience with search implementation and data indexing functionalities.
• Alteryx: Proven ability to automate workflows and prepare data efficiently in a professional setting.
• Bedrock and OpenAI APIs: Familiarity with integrating cloud-based AI/ML models for intelligent features.
• RESTful API Design and Integration: Knowledge of designing and consuming APIs for seamless data flow.
• 7+ years of professional experience in full-stack development roles.
• Demonstrable experience with Elasticsearch, Angular, Java, and AI/ML API integrations.
• Proven track record of developing scalable, data-oriented applications.
• Industry experience in financial services, technology consulting, or enterprise solutions is advantageous.
• Candidates with a breadth of experience across multiple domains and alternative pathways demonstrating relevant skills are encouraged to apply.

Preferred Skills:
• Cloud Platforms (AWS preferred): Deployment and management of applications in cloud environments.
• DevOps Tools: CI/CD pipelines, containerization (Docker, Kubernetes).
• Additional frameworks/libraries such as Redux, RxJS for Angular, and Spring Boot for Java are advantageous.

Technical Skills (By Category):

Programming Languages:
• Required: Java (Java 8+), TypeScript/JavaScript.
• Preferred: Knowledge of Python or other scripting languages for AI integrations.

Databases/Data Management:
• Elasticsearch (search/indexing).
• Familiarity with SQL and NoSQL databases.

Cloud Technologies:
• AWS (preferred) for deployment, storage, and cloud services.

Frameworks and Libraries:
• Angular (React is a plus).
• Java-based frameworks such as Spring Boot (preferred).
• AI/ML APIs: Bedrock, OpenAI.

Development Tools and Methodologies:
• Version Control: Git, Bitbucket.
• CI/CD Tools: Jenkins, GitLab CI (preferred).
• Containerization: Docker, Kubernetes (preferred).
• Agile/Scrum development practices.

Security Protocols:
• Understanding of secure coding and data protection best practices.

Qualifications:
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field; equivalent professional experience will also be considered.
• Certifications in cloud platforms (AWS Certified Solutions Architect, etc. ) or specific technologies are a plus.
• Ongoing professional development in emerging technologies such as AI, cloud computing, or DevOps.

Professional Competencies:
• Strong problem-solving and analytical capabilities with an emphasis on data-driven decision making.
• Effective communication skills for engaging with diverse stakeholder groups.
• Ability to work collaboratively within a team and independently manage tasks.
• Adaptability to evolving project requirements and emerging technologies.
• Innovative mindset, with a focus on delivering practical, scalable solutions.
• Excellent time management skills, prioritizing tasks effectively to meet deadlines.