Job SummaryThis Engineer 3 focuses on developing machine learning algorithms for products, training models, and deployment. It involves data pipeline management, technical documentation, and innovation via patents and APIs. The role evaluates ML solutions, conducts case studies, and designs proofs of concept.
Job DescriptionJoin 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.
Responsibilities:Platform Architecture & AI Ops
- 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.
API & Microservices Engineering
- 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.
Data Systems & Operations
- 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.
Minimum Qualifications:- 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.
Preferred:- 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
Employees at all levels are expected to:- Understand our Operating Principles; make them the guidelines for how you do your job.
- Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
- Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
- Win as a team make big things happen by working together and being open to new ideas.
- Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
- Drive results and growth.
- Support a culture of inclusion in how you work and lead.
- Do what's right for each other, our customers, investors and our communities.
Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
SkillsApplication Programming Interface (API), Machine Learning (ML), Relational Database Design, Teamwork
We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide 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.
Please visit the benefits summary on our careers site for more details.
EducationBachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Certifications (if applicable)
Relevant Work Experience5-7 Years
