Lead Software Architect defining software strategy for Comcast's enterprise platforms. Shaping platform strategy and guiding engineering teams for high-scale, cloud-native systems.
Responsibilities
Define and evolve the enterprise-wide software architecture vision, ensuring alignment to business goals and modern engineering principles.
Act as a thought leader in distributed systems, cloud design patterns, platform architecture, developer experience, and emerging technologies (AI/ML, edge, automation).
Advise senior executives on architectural risks, opportunities, and technology trends that inform strategic decision-making.
Establish, publish, and enforce architectural standards, patterns, and reference models across all engineering domains.
Lead architecture review councils and ensure solutions adhere to principles of scalability, security, resilience, performance, and cost efficiency.
Guide engineering teams in designing and delivering large-scale, cloud-native, event-driven, and microservices-based systems.
Oversee integration strategy across data platforms, identity systems, internal tooling, and customer-facing digital experiences.
Mentor senior engineers and architects, fostering a culture of architectural thinking, technical excellence, and continuous improvement.
Drive experimentation with emerging technologies such as advanced cloud services, agentic AI, edge computing, serverless architectures, and automation platforms.
Requirements
Bachelor’s or Master’s degree in Computer Science or related field.
10+ years of experience in software engineering, with at least 5 years in an architectural or principal-level leadership role.
Proven experience architecting and delivering large-scale distributed systems or cloud platform services.
Deep expertise in native cloud architectural patterns, microservices, APIs, event streaming, DevOps tooling, and CI/CD pipelines.
Strong grounding in security architecture, scalable design, performance engineering, and cost-optimized cloud operations.
Exceptional communication, executive influencing ability, and leadership presence.
Experience operating within Agile, Lean, or DevOps-driven engineering cultures.
Familiarity with technology governance models for large-scale enterprise environments.
Background in AI/ML, SRE practices, cybersecurity, or FinOps.
Demonstrated ability to lead transformation and modernization initiatives at scale.
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