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Metro location and strong SaaS brand increase competition, but principal seniority and niche AI-API focus limit applicant pool.
High because role demands AI-agent integration and platform modernization domain expertise.
High due to explicit 10+ years, leadership expectations, and mandatory API/platform modernization expertise.
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Lead API modernization for AI-native workflows, including defining standards for AI-ready APIs and refactoring legacy systems to support scalable agent workflows.
Design backend systems and APIs to support high concurrency, resilience, and operational safeguards for automated AI traffic.
Provide technical leadership across engineering teams to guide architecture, mentor senior engineers, and align platform and AI strategies without disrupting existing operations.
Typically 10+ years of software engineering experience with expertise in backend systems, distributed architectures, and platform engineering.
Proven experience architecting and modernizing complex APIs and mission-critical distributed systems at scale.
Deep knowledge of API contracts, schema design, validation, versioning, authorization, and system observability.
Work Experience Required: 10+ years in relevant software engineering roles.
Experienced in driving technical strategy and architectural direction across multiple engineering organizations in complex environments.
Strong systems-thinking ability with background in backend platform modernization focused on AI or automated agent integration.
Skilled in balancing strategic architectural goals with operational delivery, mentoring senior engineers, and elevating engineering standards enterprise-wide.