Key Responsibilities
Define and own platform architecture and engineering strategy
Lead large-scale platform modernization initiatives
Build proofs of concept and contribute production-grade code
Drive architecture reviews and engineering standards
Resolve cross-team technical dependencies
Required Technical Skills
Deep expertise in C#/.NET, Go, Java, or Python
High-scale APIs and distributed systems
Data modeling and event-driven architectures
React or modern frontend frameworks
Platform modernization and migration experience
Required Leadership Skills
12+ years of software engineering experience, with significant tenure at Staff/Principal level.
Drive cross-team technical decisions, platform direction, and multi-team initiatives (architecture
alignment, trade-off resolution, execution).
Define and scale AI-driven SDLC standards, including tools, guardrails, and automation patterns.
Hands-on experience with AI-assisted development (e.g., Copilot, Claude Code, Cursor) to deliver
production systems; able to articulate workflow impact and guardrails.
Strong experience designing and evolving large-scale distributed systems (APIs, data pipelines, event
driven systems, high-scale platforms).
Proven cross-org leadership driving architecture, standards, and platform initiatives across multiple
teams.
Elevate engineering quality through code reviews, architecture reviews, and mentoring senior
engineers.
Strong engineering fundamentals in code quality, testing, CI/CD, and observability while maintaining
delivery velocity.
Effective communicator with the ability to influence stakeholders and drive alignment without formal
authority.
Experience collaborating across product, data, security, and infrastructure teams.
Track record of documenting and scaling architectural decisions and organizational learnings.
Experience working with distributed teams (US, China, LATAM).
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