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Ad Hoc LLC · 1 month ago

Senior Software Engineer - Back End (Remote)

United States

Full-time

Remote

Mid, Senior Level

$125K/yr - $140K/yr

7+ years exp

Ad Hoc LLC is a technology company that empowers organizations to deliver scalable, impactful digital services. They are seeking a Senior Software Engineer - Back End who will build robust infrastructure for health content and AI capabilities, creating backend services that manage complex workflows and ensure reliability in public health applications.

ComputerData ManagementSoftware

Culture & Values

Responsibilities

Demonstrates expertise, accountability, and ownership of their contributions to an application code base

Maintains a high-level understanding of adjacent technical areas and ecosystems to effectively coordinate integration with those systems

Diagnoses and effectively resolves issues with the systems they own, using incidents to inform educational opportunities and system improvements

Actively mentors and assists more junior engineers in the development of their skills

Effectively communicates technical issues and developments with team members and clients

Participates in technical interviews with new candidates

Strong influential skills to propose and evaluate multiple approaches to technical and process problems

May serve as a mentor to individuals within the team

May leads small, less critical, or temporary team structures and projects

Presents design documents, system diagrams, etc. to clients, stakeholders, partners, and other engineers

Qualification

Node.jsPythonPostgreSQLMessage queue systemsAWS/Azure servicesCMS developmentInfrastructure as CodeContainer orchestrationBasic NLP librariesGraphQLMentoringEffective communication

Required

Bachelor's degree and 7+ years of engineering experience

Node.js or Python (Express/Fastify or FastAPI/Django) with WebSocket support - For building APIs that can handle both traditional REST requests and real-time streaming from AI models or live data feeds

PostgreSQL with JSON/JSONB and full-text search capabilities - Storing structured health content alongside flexible AI-generated data, user interactions, and feedback loops

Message queue systems (Redis with Bull/Celery, or AWS SQS) - Essential for handling asynchronous AI processing, batch content updates, and managing rate limits for external AI services

CMS development (Wordpress, Drupal) - Essential for extending CMS capabilities and building content APIs

AWS/Azure core services (EC2/App Service, RDS/Azure SQL, Lambda/Functions, S3/Blob Storage) - For building cloud-native applications that scale automatically and integrate with managed services

Demonstrates expertise, accountability, and ownership of their contributions to an application code base

Maintains a high-level understanding of adjacent technical areas and ecosystems to effectively coordinate integration with those systems

Diagnoses and effectively resolves issues with the systems they own, using incidents to inform educational opportunities and system improvements

Actively mentors and assists more junior engineers in the development of their skills

Effectively communicates technical issues and developments with team members and clients

Participates in technical interviews with new candidates

Strong influential skills to propose and evaluate multiple approaches to technical and process problems

May serve as a mentor to individuals within the team

May leads small, less critical, or temporary team structures and projects

Presents design documents, system diagrams, etc. to clients, stakeholders, partners, and other engineers

Preferred

Infrastructure as Code (Terraform basics, CloudFormation, ARM templates) - For defining and deploying backend infrastructure consistently across environments

Container orchestration (ECS/Fargate, AKS/Container Instances, basic Kubernetes concepts) - For deploying and scaling containerized services

Basic NLP libraries and text processing (spaCy, NLTK, or understanding of tokenization/embedding concepts) - For preprocessing content for AI consumption and implementing fallback search when AI features are unavailable

GraphQL with subscription support - For flexible data fetching that could serve diverse AI features and real-time updates to frontend applications