The company is looking to transform towards AI-first development practices, optimize developer productivity, and modernize its enterprise application landscape with AI at the core. The goal is to accelerate innovation, reduce time-to-market, and scale AI capabilities across all business functions.
Requirements
- 15+ years in software engineering, distributed systems, or enterprise architecture, including 7+ years leading enterprise and application architecture at scale.
- Proven expertise in designing complex, enterprise-grade platforms (custom applications and SaaS solutions), ideally across multiple domains (e.g., customer support, finance, sales)
- Experience with application modernization, cloud native architecture, API first design principles, integration strategies, event driven architecture, disaster recovery, and application security patterns.
- Deep knowledge of AI innovations and practical understanding of the full AI lifecycle for developer experience, building agents, apps.
- Extensive experience with distributed systems architecture, microservices, multi cloud, hybrid cloud, Integration platforms, data platforms, and data lakes.
Responsibilities
- Define and evangelize enterprise-wide architectural vision for engineering excellence, developer productivity platforms, and AI-integrated applications.
- Establish architectural principles, design patterns, and engineering standards that prioritize quality, reliability, maintainability, and AI-first approaches.
- Drive technical strategy for internal developer platforms (IDPs), code quality frameworks, development toolchains, reducing tech debt and improving delivery velocity.
- Design and implement comprehensive code quality frameworks including automated testing, static analysis, and security scanning.
- Architect self-service capabilities, automated testing frameworks, and deployment pipelines with built-in quality gates.
- Champion platform engineering practices, infrastructure-as-code methodologies, and shift-left quality approaches.
- Drive selection of AI tools, frameworks, cloud solutions, and hybrid infrastructure that align with business and engineering needs.
Other
- Must be located in SF Bay area
- Strong communication skills with a track record of influencing across VP+ and cross-org stakeholders.
- Collaborate with engineering leadership to align architectural decisions with business objectives and quality standards.
- Foster a culture of continuous learning, technical excellence, and engineering craftsmanship.
- Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical field.
