Backend Platform Engineer, AI Operations Platform

Comcast

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Philadelphia, PAReston, VA
Salary
$136,449–$213,977 / yr
Posted
49 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $187k
This role $175k
$125k most similar roles pay here $233k

This role pays more than 51% of similar roles. Most pay $151,000–$222,437 — the shaded band above. At the midpoint, this role pays about $175k versus about $187k for comparable roles.

Based on 240 similar postings.

Employer

About Comcast

Comcast is an American telecommunications and media conglomerate, providing cable TV, internet, and phone services under the Xfinity brand, and owning NBCUniversal.

Comcast currently has 84 open roles on FindRole.

Listed pay typically runs $137,369–$206,053 across 58 roles with salary data.

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At a glance

TL;DR · Backend Platform Engineer, AI Operations Platform

As a Backend Platform Engineer - AI Operations Platform, you will join the core platform engineering team to build scalable backend microservices, robust API layers, and multi-tenant infrastructure for an AI Ops platform. You will focus on pragmatic engineering execution by integrating backend tools, database systems, and AI/ML wrappers into production-grade services that support both modern and legacy systems. Your daily work involves designing high-concurrency GraphQL and REST APIs, developing event-driven microservices, and managing relational and NoSQL database schemas for high-throughput workloads. You will utilize Python, Go, Java, or C++ to build middleware and gateway routers while implementing system telemetry and monitoring. The role addresses the challenge of transforming complex AI/ML capabilities into practical operational tools and unified environments, ensuring reliable service delivery across diverse internal and external stakeholder requirements within a multi-tenant architecture.

What you'll do

  • Architect and scale a multi-tenant AI Ops platform integrating backend services, runtime engines, and developer tools.
  • Design, build, and maintain high-concurrency GraphQL and REST APIs for core platform communication.
  • 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.
  • 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 observability.
  • Containerize and deploy services using modern CI/CD pipelines and orchestration tools.
  • Integrate and modernize legacy software systems into modular platform architectures.

What we're looking for

  • Bachelor's degree is preferred, though equivalent experience may be considered.
  • 5+ years of experience designing, scaling, and operating distributed backend systems and microservices.
  • Proven track record of designing and implementing GraphQL and REST APIs for complex communication.
  • Experience deploying and scaling real-world AI/ML use cases and API wrappers focused on operational execution.
  • Experience designing, optimizing, and querying relational (e.g., PostgreSQL) and NoSQL databases at scale.
  • Advanced proficiency in Python and knowledge of Go, Java, or C++.
  • Ability to architect complex systems, evaluate technical tradeoffs, and collaborate with external engineering teams.

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