This is a senior, high-impact engineering role where you will own major technical areas end-to-end. You will design systems of significant complexity, write production-quality code, make sound architectural trade-offs, and lead implementation across services, data flows, workflow automation, and agentic pipelines. You will be expected to reason from first principles, break down ambiguous problems, learn unfamiliar tools quickly, and deliver durable software that can be operated in production.
Job Description
Core Responsibilities
Develop self-service capabilities. Build tools and platforms that allow teams to take action, follow guidance, and implement repeatable processes with minimal manual coordination.
Lead the end-to-end design of complex, large-scale distributed systems.
Translate ambiguous business requirements into scalable, secure, and reliable architectures.
Define service boundaries, APIs, data models, integration patterns, and deployment strategies.
Evaluate architectural tradeoffs across performance, scalability, resiliency, security, cost, and maintainability.
Identify failure modes and incorporate observability, fault tolerance, and operational readiness into system designs.
Produce clear architecture diagrams and technical design documents that align engineering teams and stakeholders.
Provide technical leadership throughout implementation, testing, deployment, and production support.
Write production-quality code. Deliver secure, tested, observable, maintainable services that meet high engineering standards.
Lead technical problem solving. Break down ambiguous, multi-step problem spaces into implementable components and guide execution across the development lifecycle.
Review design and code rigorously. Raise quality through strong technical review, architectural guidance, and attention to correctness, maintainability, usability, and operational resilience.
Mentor and influence. Help raise the engineering bar by coaching teammates, improving patterns, documenting decisions, and modeling strong engineering judgment.
Research and prototype. Evaluate new approaches in applied AI, workflow automation, data processing, and cloud-native engineering. Validate ideas quickly before broader rollout.
Document and communicate clearly. Create technical documentation, design proposals, operational runbooks, implementation guides, and decision records for diverse audiences.
What You'll Need
6+ years of professional software engineering experience, including ownership of production systems
Strong proficiency in Python 3.10+ and clean, maintainable software design
Experience building backend APIs and services using FastAPI or similar modern frameworks
Strong database experience, including PostgreSQL, ORM patterns, schema design, and data lifecycle management
Experience building data ingestion and processing systems across multiple sources
Experience designing reliable multi-step workflows with retries, state tracking, observability, and failure handling
Working knowledge of concurrency, async processing, and distributed execution patterns
Ability to design layered, service-oriented systems with clear contracts and maintainable abstractions
Ability to translate high-level requirements into practical designs, implementation plans, and deliverable work
Curiosity and a demonstrated willingness to learn unfamiliar technologies, experiment with new tools, and apply them pragmatically
Cloud, CI/CD & Infrastructure
Strong experience with Public Cloud services such as AWS EC2, ECS/Fargate, Lambda, RDS, S3, IAM, CloudWatch, and event-driven patterns.
Experience with Docker and production container delivery.
Experience building and maintaining CI/CD pipelines.
Experience with automated testing, quality gates, dependency checks, deployment controls, and operational safeguards
Nice to Have
Familiarity with cybersecurity as a business or technical domain
Familiarity with security findings, alerts, vulnerabilities, policy issues, or control-related workflows
Understanding of investigation, remediation, exception handling, or operational control workflows
Experience with React/TypeScript for building user-facing internal tools
Experience with Snowflake, Databricks, or similar analytical data platforms
Familiarity with OpenSearch/Elasticsearch for search, analysis, or investigation workflows
Exposure to AI-assisted development, LLM-based applications, or agent frameworks is helpful but not required
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.
Skills
Agentic AI, Amazon Web Services (AWS), Cloud DevOps, Infrastructure As Code (IaC), Python Software Development, System Designs, Technical Leadership
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.
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.
Certifications (if applicable)
- Relevant Work Experience
- 7-10 Years
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.
