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Backend Engineer information
What are some common challenges backend engineers face when integrating new technologies into existing systems?
What are the key skills and qualifications needed to thrive as a backend engineer, and why are they important?
What is the difference between Backend Engineer vs Software Developer?
| Aspect | Backend Engineer | Software Developer |
|---|---|---|
| Primary Focus | Designing, building, and maintaining server-side applications and databases | Developing software across various layers, including frontend and backend |
| Skills & Certifications | Proficiency in server-side languages (e.g., Java, Python), databases, APIs | Proficiency in multiple programming languages, software design, and sometimes frontend skills |
| Work Environment | Typically in backend teams, working on server infrastructure and APIs | Can work on full-stack or specific areas; broader scope |
| Industry Usage | Common in tech companies, startups, and enterprises focusing on backend systems | Widespread across all software development sectors |
While both roles involve coding and software development, Backend Engineers specialize in server-side logic, databases, and APIs, whereas Software Developers may work on both frontend and backend components. The roles often overlap, but Backend Engineers focus more on the infrastructure that powers applications.
What's a typical backend engineer salary?
What is a backend engineer?

$136K - $213K/yr
Full-time
Posted 19 days ago
Job description
Job Summary
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 teamsJob 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 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.
Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.
Skills:
Machine Learning (ML); Relational Database Design; Application Programming Interface (API); Teamwork
Salary:
Pay Range: This job can be performed in Virginia with a Pay Range of $136,449.22 - $213,977.19
Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. 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 compensation and benefits summary on our careers site for more details.
Education
Bachelor'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.
Relevant Work Experience
5-7 Years