Full Stack Developer (Angular, Java, Elasticsearch)

Software Requirements

Required Skills:

• 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 & 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.

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; Spring Boot for Java are advantageous.

Overall 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.

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 & 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

Experience Requirements

• 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.

Day-to-Day Activities

• 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.

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.