Senior Software Developer

Overview

Empower AI is AI for government. Empower AI gives federal agency leaders the tools to elevate the potential of their workforce with a direct path for meaningful transformation. Headquartered in Reston, Va., Empower AI leverages three decades of experience solving complex challenges in Health, Defense, and Civilian missions. Our proven Empower AI Platform® provides a practical, sustainable path for clients to achieve transformation that is true to who they are, what they do, how they work, with the resources they have. The result is a government workforce that is exponentially more creative and productive. For more information, visit www.Empower.ai.

Empower AI is proud to be recognized as a 2024 Military Friendly Employer by Viqtory, the publisher of G.I. Jobs. This designation reflects the company’s commitment to hiring and supporting active-duty and veteran employees.

Responsibilities

Empower AI is looking for a highly experienced remote Senior Lead Software Developer to lead the architecture, design, development, and modernization of enterprise applications. This is a senior technical leadership role requiring an individual who can independently architect complex solutions, make technology decisions, and lead development efforts from concept through production.

The successful candidate will possess deep expertise in AWS cloud technologies, full-stack application development, modern software architecture, API design, containerization, DevSecOps, and AI-assisted software engineering. The individual will collaborate closely with business stakeholders, architects, and engineering teams to deliver scalable, secure, and maintainable enterprise solutions.

Qualifications

• Solution & Application Architecture

  • Independently design end-to-end enterprise application architectures.
  • Define technical architecture, system integration strategies, and application roadmaps.
  • Design scalable, secure, high-availability, and cloud-native solutions.
  • Develop application, integration, deployment, and data architecture artifacts.
  • Evaluate technologies and recommend architecture patterns and frameworks.
  • Ensure compliance with enterprise architecture, security, and governance standards.
  • Lead technical design reviews and architecture discussions.

  Full-Stack Software Development

  • Design, develop, and maintain enterprise web applications.
  • Build scalable backend services using Node.js, Python, and Java.
  • Develop modern frontend applications using JavaScript and contemporary frameworks.
  • Perform code reviews and establish development standards.
  • Mentor developers and promote engineering best practices.

  AWS Cloud Engineering

  Design and implement solutions using AWS services including:

  • EC2
  • ECS/EKS
  • Lambda
  • API Gateway
  • RDS (SQL Server/PostgreSQL)
  • S3
  • IAM
  • CloudWatch
  • SNS/SQS
  • Secrets Manager
  • VPC Networking

  API & Integration Development

  • Design RESTful APIs and microservices.
  • Define API standards and governance.
  • Implement secure authentication and authorization.
  • Integrate enterprise systems and third-party platforms.
  • Produce API documentation using OpenAPI/Swagger.

  Database Development

  • Design relational database architectures.
  • Develop optimized SQL solutions using SQL Server and PostgreSQL.
  • Perform data modeling, indexing, and performance tuning.
  • Support database modernization and migration initiatives.

  Containerization & Cloud-Native Solutions

  • Develop and deploy containerized applications using Docker.
  • Design and implement solutions using Kubernetes, Amazon ECS, or Amazon EKS.
  • Support Infrastructure as Code and automated deployments.

  DevSecOps

  • Design and implement CI/CD pipelines.
  • Integrate automated testing and security scanning.
  • Champion secure coding practices and DevSecOps principles.
  • Support automated deployments and release management.

  AI-Assisted Software Engineering

  • Leverage AI tools to improve software development productivity and quality.
  • Utilize AI for code generation, documentation, testing, debugging, and modernization.
  • Evaluate emerging AI technologies and incorporate them into engineering practices.

  GIS & Enterprise Applications

  • Design and support GIS-enabled enterprise applications.
  • Integrate mapping services and geospatial data.
  • Develop location-aware solutions