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Senior App Developer (Cloud & AI)

ECS

$150,000 - $200,000
Dec 5, 2025
Fairfax, VA, US
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ECS is seeking a Senior App Developer to modernize existing applications, move them to the cloud, and implement artificial intelligence capabilities for the Postal Service to enhance operational efficiency, automation, and decision support, evolving from data-rich to insight-driven.

Requirements

  • 8+ years of experience in application development using Python and Java.
  • Experience utilizing co-pilot, Github, and Kafka
  • Expertise with at least one major cloud provider (AWS, Azure, or GCP) and familiarity with their AI/ML service offerings.
  • Demonstrated experience modernizing legacy systems into the cloud.
  • Strong knowledge of data pipelines, APIs, microservices, and integration architectures.

Responsibilities

  • Conduct enterprise-level assessment of current workflows, systems, and data architecture to identify opportunities for AI integration.
  • Design and prototype AI/ML solutions that improve automation, analytics, and decision-making within logistics, routing, maintenance, and service operations.
  • Evaluate and implement cloud-native AI/ML services (AWS SageMaker, Azure ML, Google Vertex AI, etc.) for Postal Service use cases.
  • Partner with data engineering and cloud infrastructure teams to develop scalable, secure AI pipelines.
  • Create technical roadmaps and implementation frameworks for integrating AI into existing enterprise applications.
  • Develop proof-of-concept (POC) models and guide the transition to full-scale production deployment.
  • Define model monitoring, governance, and lifecycle management strategies to ensure compliance and ethical AI use.

Other

  • U.S. citizenship required; ability to obtain Public Trust or higher clearance as needed.
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
  • Ability to assess organizational needs, develop technology roadmaps, and communicate complex solutions to technical and executive stakeholders.
  • remotely