Description

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)

Education

Bachelor's degree