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
As a Senior Software Engineer on the Cloud Security Engineering team, you will design, build, and operate reliable software platforms that transform complex business and technical findings into clear actions teams can take. This is a senior software engineering role in the cybersecurity space, with opportunities to apply AI where it provides practical value.
You will build systems that ingest information from multiple internal and external tools, apply business logic, and turn that information into workflows, recommendations, automation, and measurable outcomes. You will also help us develop agentic pipelines that coordinate tools, data, and multi-step processes. Prior AI experience is not required. We are looking for a strong engineer who can learn quickly, evaluate new technologies, and apply them thoughtfully.
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.…