Software Development Engineer

hackajob is collaborating with Comcast to connect them with exceptional professionals for this role.

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

This 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 Description

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.

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 fir