Software Developer

SoTalent; McLean (VA); On-site; USD 140,000 - 190,000; Full time

Job summary

Sotalent in McLean, VA, seeks a Senior Software Developer and AI Engineer to lead modernization efforts across large legacy applications into cloud-native AWS environments. You will design AI-enabled features and collaborate with architects and product teams to ensure seamless business continuity.

The role requires a Bachelor degree and 5–8 years of software development experience, with hands-on AI engineering, AWS services, and secure DevSecOps practices. Travel: none.

Qualifications

• Bachelor degree required.

Responsibilities

• Collaborate on modernization of complex portfolio by enhancing legacy systems and building new cloud services.
• Develop and productionize AI capabilities including retrieval augmented generation, semantic search, and intelligent workflow automation.
• Maintain an integrated data layer using APIs, event-driven architectures, and canonical models to ensure data consistency across systems.
• Analyze existing application dependencies and business rules to identify low risk modernization opportunities.
• Implement robust security protocols including encryption, secrets management, and least privilege access.
• Design and execute comprehensive test suites covering unit, integration, and performance testing for software and AI models.
• Utilize CI CD pipelines and infrastructure as code to ensure safe and repeatable software delivery.
• Troubleshoot complex issues across distributed environments including databases, cloud services, and network paths.

Job description

Senior Software Developer and AI Engineer

Travel Requirement None

Security Clearance Ability to obtain a Public Trust is required

A major consultancy seeking a skilled Software Developer with a background in AI engineering to join a mission critical modernization project. This role focuses on the phased transformation of large scale legacy applications into modern cloud native environments while ensuring seamless business continuity.

The successful candidate will design and deploy advanced application features and AI capabilities using a variety of modern languages and frameworks. You will work alongside architects and product teams to refactor legacy code, build integrated data layers, and implement secure AWS based solutions.

Key Responsibilities

• Collaborate on the modernization of a complex portfolio by enhancing legacy systems and building new cloud services.
• Develop and productionize AI capabilities including retrieval augmented generation, semantic search, and intelligent workflow automation.
• Maintain an integrated data layer using APIs, event driven architectures, and canonical models to ensure data consistency across systems.
• Analyze existing application dependencies and business rules to identify low risk modernization opportunities.
• Implement robust security protocols including encryption, secrets management, and least privilege access.
• Design and execute comprehensive test suites covering unit, integration, and performance testing for both software and AI models.
• Utilize CI CD pipelines and infrastructure as code to ensure safe and repeatable software delivery.
• Troubleshoot complex issues across distributed environments including databases, cloud services, and network paths.

Technical Requirements

• A Bachelor degree is required for this position.
• Between five and eight years of professional experience in software development and legacy system modernization.
• Hands on experience with AI engineering including prompt design, vector search, and model monitoring.
• Extensive experience with AWS services such as Lambda, API Gateway, ECS, SQS, and DynamoDB.
• Strong understanding of relational databases, specifically Oracle, including SQL optimization and data modeling.
• Experience with modern authentication standards such as OAuth2, OIDC, and SAML.
• Familiarity with DevSecOps practices and Agile delivery methodologies.

Preferred Qualifications

• Previous experience supporting federal or government IT programs.
• Knowledge of regulated cloud environments such as FedRAMP or AWS GovCloud.
• Relevant certifications such as AWS Certified Developer, Security plus, or SAFe.
• Experience with domain driven design and building enterprise integration patterns.