Backend Platform Engineer - AI Operations Platform

Comcast • Philadelphia, PA

22d • Onsite

About The Position

This Software Engineer (Engineer 3) focuses on building scalable backend microservices, robust API layers, and multi-tenant platform infrastructure for our AI Ops platform. Rather than academic model training, this role drives pragmatic engineering execution—integrating backend tools, database systems, and AI/ML wrappers into reliable, production-grade services that serve both modern and legacy systems across multiple teams.
Join our core platform engineering team, where you will design, build, and scale production-grade systems that support critical business capabilities. In this role, you will focus on pragmatic engineering execution, developing high-throughput microservices, API layers, and backend infrastructure. You will help drive the integration of our AI Ops platform by bringing together tools, services, and AI-enabled capabilities into a unified, multi-tenant environment. Working across both modern and legacy technologies, you will play a key role in connecting platform innovation with existing systems while supporting a diverse set of internal and external stakeholders.
This position is ineligible for visa sponsorship. To be considered for this role, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the future.

Requirements

• 5+ years of hands-on experience designing, scaling, and operating distributed backend systems and microservices.
• Proven track record of designing and implementing GraphQL and REST APIs for complex system communication.
• Practical, hands-on experience deploying and scaling real-world AI/ML use cases, serving tools, and API wrappers focusing on operational execution rather than theoretical modeling.
• Direct experience designing, optimizing, and querying relational (e.g., PostgreSQL) and/or NoSQL databases at scale.
• Advanced proficiency in Python (and/or Go, Java, or C++).
• Proven ability to architect complex systems, evaluate technical tradeoffs, and work with external engineering teams.
• Legally authorized to work in the United States and not require sponsorship for employment now or in the future.

Nice To Haves

• Experience with Docker, Kubernetes, and managing containerized applications in cloud or cluster environments.
• Exposure to telemetry, monitoring, and MLOps tools
• Experience abstracting, wrapping, or modernizing legacy software systems into modular platform architectures

Responsibilities

• Architect and scale a multi-tenant AI Ops platform integrating backend services, runtime engines, and developer tools.
• Evaluate technology choices, provide technical recommendations, and set engineering standards for consuming platform services.
• Design end-to-end technical solutions and collaborate directly with external and cross-functional teams on integrations.
• Design, build, and maintain high-concurrency GraphQL and REST APIs to handle core platform communication and data exchanges.
• Develop resilient, event-driven backend microservices and clean abstraction layers.
• Build wrappers, gateway routers, and middleware around AI/ML models to deliver practical operational tools at scale.
• Design, optimize, and maintain relational and NoSQL database schemas for high-throughput production workloads.
• Implement system telemetry, logging, and performance metrics across cluster environments to ensure uptime and observability.
• Containerize and deploy services using modern CI/CD pipelines and orchestration tools.

Benefits

• An array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality—to help support you physically, financially and emotionally through the big milestones and in your everyday life.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level