Lead backend engineering and system design for large-scale machine learning platforms, setting technical direction, mentoring engineers, and ensuring production reliability.
Compensation
$144,200.00 - $288,400.00
Responsibilities
Architect and build scalable, production-grade backend services (APIs, microservices, batch and streaming pipelines)
Design data contracts and interfaces between data engineering, model training, and production serving layers
Own the design of versioned, queryable feature stores and point-in-time lookup APIs
Design and optimize large-scale distributed computing workflows
Make build-vs-buy and architecture tradeoff decisions
Requirements
Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, Business Analytics, Economics, Physics, or related discipline
Lead the architecture, design, and implementation of high-performance backend systems for Akamai’s API Team.
Compensation
For US based candidates only - the base salary for this position ranges from $146,400 - $263,600/year; a candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location. Compensation for candidates outside the US will vary. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP).
Responsibilities
Architect high-performance REST APIs and service layers using Python and Flask
Design robust schemas and optimize database queries using SQLAlchemy
Lead technical design reviews and mentor junior and mid-level engineers
Implement authentication, rate limiting, and observability across distributed backend services
Design fault-tolerant backend services with circuit breakers and defensive validation
Design, develop, and maintain secure, scalable backend systems for an Intelligence Community customer.
Locations (3)
Annapolis Junction, Maryland, United States
Washington, District of Columbia, United States
Reston, Virginia, United States
Responsibilities
Design, develop, implement, and maintain backend application functionality using Python, Docker, Kubernetes, OpenSearch, PostgreSQL, and other approved technologies.
Develop and maintain backend services and RESTful APIs, incorporating request validation, comprehensive error handling, and secure authentication and authorization mechanisms.
Utilize Pydantic for data validation and SQLAlchemy for database access, object-relational mapping, and efficient data management within Python applications.
The IT Developer (Python Backend Developer) will design, develop, and support enterprise-grade backend services for an AI-enabled platform ecosystem, focusing on scalable APIs, distributed services, AI integrations, and platform capabilities.
Compensation
Medtronic offers a competitive Salary and flexible Benefits Package
Responsibilities
Design, develop, test, and maintain scalable backend services using Python and modern web frameworks such as FastAPI.
Build secure REST APIs, asynchronous services, and reusable platform components using microservices and distributed-system architectures.
Integrate backend services with large language models (LLMs), OpenAI-compatible APIs, model-serving platforms, and AI infrastructure.
Develop platform capabilities supporting AI agents, retrieval-augmented generation (RAG), prompt management, Model Context Protocol (MCP), scheduling, notifications, and event-driven workflows.
Implement background processing and messaging solutions using technologies such as Redis, Kafka, Celery, or equivalent platforms.
Mid-level Software Engineer with strong software testing experience to join the Science User Applications Group to build and maintain user-facing software like the NRAO Science Archive.
Locations (4)
Albuquerque, New Mexico, United States
Socorro, New Mexico, United States
Charlottesville, Virginia, United States
Green Bank, West Virginia, United States
Compensation
The starting salary of this position is between $96,588 and $120,000.
Responsibilities
Designing, building, and maintaining a robust, automated test infrastructure covering unit, integration, and end-to-end testing
Design and scale async backend systems for Bluehost’s AI-native platform, building production-grade APIs, multi‑agent workflows, and retrieval‑augmented generation pipelines.
Responsibilities
Design and scale async REST/WebSocket APIs in Python
Implement multi‑agent workflows to route work among specialized LLM agents
Integrate multiple LLM providers behind a provider‑agnostic layer
Build and maintain RAG pipelines against vector stores
Design schemas and evolve data models with SQLAlchemy/SQLModel
Design, develop, and support enterprise-grade backend services for an AI-enabled platform ecosystem, focusing on scalable APIs, distributed services, and AI integrations.
Compensation
Medtronic offers a competitive Salary and flexible Benefits Package. This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).
Responsibilities
Design, develop, test, and maintain scalable backend services using Python and modern web frameworks such as FastAPI.
Build secure REST APIs, asynchronous services, and reusable platform components using microservices and distributed-system architectures.
Integrate backend services with large language models (LLMs), OpenAI-compatible APIs, model-serving platforms, and AI infrastructure.
Develop platform capabilities supporting AI agents, retrieval-augmented generation (RAG), prompt management, Model Context Protocol (MCP), scheduling, notifications, and event-driven workflows.
Implement background processing and messaging solutions using technologies such as Redis, Kafka, Celery, or equivalent platforms.
Design, implement, and maintain PostgreSQL database schemas, queries, indexes, and migrations, ensuring optimal performance, scalability, and data integrity.
Develop and maintain Docker images and containerized applications, including writing Dockerfiles, configuring containers, and troubleshooting deployment-related issues.
Requirements
Bachelor's degree
Master's degree
Nice to have: Advanced Python
Nice to have: Familiarity with U.S. Department of Defense and Intelligence Community
Nice to have: Experience with continuous integration/continuous deployment