Software Engineer – Contingent

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Wilcore Technologies, Inc.

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2023

🏛️ Gouvernement

🤖 Intelligence artificielle

🤝 B2B

Government • Artificial Intelligence • B2B

Wilcore Technologies, Inc. est une entreprise d'ingénierie numérique orientée mission, qui collabore avec les agences fédérales américaines pour concevoir, créer et gérer des produits numériques sécurisés et centrés sur l'utilisateur. L'entreprise propose des services de recherche centrée humain, de design de services, de développement logiciel moderne, de gestion de produits et d'ingénierie IA et données — en mettant l'accent sur une IA responsable, l'analytique et les plateformes de données protégées pour soutenir des missions fédérales complexes.

Description

• Constructing AWS Lambda functions to process high volumes of throughput from event based pipelines • Ensuring that pipelines can handle high load by writing both unit tests and end-to-end tests • Debugging various issues that may arise throughout the pipeline • Designing and implementing APIs to interact with various data elements controlling the pipeline • Be responsible for Model Context Protocol (MCP) server development and Application Development Organizations (ADO) data integration. • Develop the Application Programming Interface (API) contracts, schema standards, and Software Development Kit (SDK) templates that enable individual ADO teams to build and own their MCP integrations. • Define the component-based response standards governing how conversational content, user experience (UX) components, and guided journey flows are composed into a consistent beneficiary experience.

🎯 Exigences

• 4+ years of server-side JavaScript / TypeScript (Node.js) experience • Expert in SQL • Experience working with PostgreSQL and Redshift • Experience with cloud-based, event-driven architecture including: serverless functions (AWS Lambda), event queues (SQS, Kinesis), and containerized server clusters (ECS) • Experience with large-scale, distributed systems • Comfort working alongside AI/ML engineers on systems that include LLM-backed components — you don't need to own the models, but you should be able to reason about how the backend integrates with them • Familiarity with AWS AI/ML-adjacent services (Amazon Bedrock, ElastiCache/Redis, DynamoDB) in a production context is a plus • Experience working in agile / scrum environments • Other skills that would be a plus: familiarity with the NestJS framework, experience writing applications in Golang