REMOTE - Software Engineer (BEDAP) Contingent

About the Role:

Contract Contingency Notice: This position is contingent upon contract award. Employment offers will be extended only upon successful contract award and client approval. Candidates may be considered and interviewed in advance to support rapid onboarding should the contract be awarded.

BDAMAX Backend Engineer

You'll be joining a team building the backend infrastructure for a federated AI platform that helps

users navigate complex information through a single conversational interface. You will partner

closely with our AI/ML engineers and will support their work by owning the backend plumbing,

integrations, and pipelines that make the AI layer possible, not the models themselves.

What You’ll Do

● 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.

What You’ll Bring

● 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