Full Stack Senior Developer

Key Responsibilities

Application Architecture and Development

• Design, develop, and maintain scalable full stack web applications using a clear three-tier architecture consisting of presentation (frontend), application/service (API/backend), and data layers, ensuring clean separation of concerns and maintainable system boundaries.
• Translate business and technical requirements into well structured, maintainable application architecture.
• Design and develop component-based front-end applications using modern frameworks such as Vue, React, or similar, including state management, routing, and API integration.
• Build robust backend services and APIs to support data driven functionality.
• Ensure applications are production ready, secure, and performant.

API and Service Layer Engineering

• Design and implement RESTful or GraphQLAPIs that expose curated data and system functionality.
• Integrate applications with internal data platforms, data warehouses, and external services.
• Implement proper error handling, validation, logging, and observability across services.
• Support versioning and lifecycle management of APIs.

Data Platform Integration

• Collaborate with data engineering teams to integrate applications with lakehouse and warehouse environments.
• Consume curated datasets and expose them through secure application layers.
• Support real-time and batch data workflows as required by business use cases.
• Ensure data accuracy, consistency, and appropriate access controls within applications.

AI and Advanced Feature Integration

• Integrate AI and LLM driven capabilities into user-facing applications where applicable.
• Collaborate with AI platform developers to operationalize models into production systems.
• Ensure responsible and secure implementation of AI enabled features.

Cloud Deployment and Infrastructure

• Deploy and maintain applications in AWS environments.
• Utilize containerization tools to support portability and scalability.
• Contribute to CI/CD pipelines and automated deployment processes.
• Partner with infrastructure teams to ensure reliability, uptime, and cost efficiency.

Performance Optimization and Scalability

• Monitor application performance and proactively address bottlenecks.
• Optimize database queries, API calls, and front-end rendering performance.
• Design systems that scale to support increased data volume and user demand.
• Implement authentication and authorization controls aligned with security best practices.
• Ensure compliance with data protection standards relevant to client engagements.
• Follow secure coding standards and participate in remediation efforts when vulnerabilities are identified.

Cross-Functional Collaboration

• Partner with product leaders, project managers, data engineers, and AI developers to align on delivery priorities.
• Participate in technical design sessions and architecture reviews.
• Support client discussions when technical clarification or solution alignment is required.
• Participate in peer code reviews and uphold engineering standards.
• Own features end to end from design through deployment.

Qualifications

• 7+ years of professional full stack development experience.
• Active clearance required. Top Secret preferred. Must be eligible for SCI
• Strong frontend development experience using modern frameworks such as Vue or React.
• Strong backend development experience with Python or comparable languages.
• Experience designing and consuming APIs in production environments.
• Experience deploying and supporting applications in AWS.
• Experience designing application data models and implementing database interaction layers using relational or NoSQL systems.
• Ability to translate business requirements into scalable technical solutions.
• Proven ability to identify and drive improvements to system architecture, developer workflows, and user experience with minimal direction.
• Experience integrating AI or LLM capabilities into production applications strongly preferred.
• Experience building applications on top of lakehouse or modern data warehouse architectures strongly preferred.
• Advanced AWS experience, including architecture level decision making strongly preferred.
• Experience working in data intensive or analytics driven environments preferred.