Senior Developer, Full Stack SPAICE

Resilient Solutions 21, Inc.
United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
$135,000.0 - $160,000.0
Working hours
Regular working hours
Job source

Tech stack

Multitier Architecture Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Applications Architecture Application Layers Application Performance Management Cloud Computing Databases Information Engineering Data Infrastructure Persistent Data Structure
+29 more
Data Warehousing Database Queries Python (Programming Language) Uptime Routing NoSQL Performance Tuning Application Data Service Layer Systems Architecture Systems Integration Management of Software Versions Web Applications Web Application Frameworks Data Logging ReactJS Large Language Models Software Application Programming Backend Vue.js Data Layers Containerization AI Platforms Deployment Automation Build Tools Data Management Front End Software Development Restful APIs Web Api

Job description

The Senior Developer, Full Stack SPAICE plays a critical role in building the next generation of RS21’s data and AI-powered applications. The ideal candidate designs, develops, and deploys scalable web systems that sit at the intersection of product, data, and intelligent automation. The role supports both high impact client engagements and the continued evolution of RS21’s internal products, including Prequip., * 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.

Requirements

Do you have experience in Systems integration?, This position requires strong engineering capability across frontend and backend systems, along with sound architectural judgement. The Senior Developer, Full Stack SPAICE is expected to understand how application layers integrate with cloud infrastructure, data platforms, and AI services, and to build systems that are secure, performant, and production ready. The ideal candidate understands and has implemented modern three-tier web application architectures, including frontend presentation layers, backend service layers, and data persistence layers. They are comfortable moving between these layers and designing systems where each tier has clearly defined responsibilities and interfaces.

The individual in this role demonstrates technical depth, systems thinking, and accountability. They drive work from concept through deployment, contribute to architectural discussions, and collaborate effectively with data engineers, AI developers, product stakeholders, and client teams. Clear communication, adaptability, and the ability to operate in evolving environments are essential for success., * 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.

Benefits & conditions

2.32.3 out of 5 stars United States Remote $135,000 - $160,000 a year - Full-time

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