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Senior level reduces applicants, but broad backend+AI requirements and metro location increase competition.
Strong backend, architecture, and AI platform needs mean moderate industry transferability.
Explicit 12+ years plus technical, leadership, and AI platform requirements create strict filters.
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Design, build, and operate complex, scalable AI systems impacting multiple engineering teams across US and India.
Lead design and delivery of reliable, secure AI workflows creating measurable business value and align technical roadmaps with product strategy and business goals.
Remain hands-on in system design, coding, reviews, and mentor engineers to raise technical standards and scale AI-assisted engineering practices.
12+ years of professional software engineering experience including senior technical leadership or Staff-level individual contributor role.
Strong hands-on experience with AI-powered platform capabilities, agent workflows, or automation systems.
Proficiency in backend programming languages such as Java, Scala, or Python and experience with databases and messaging systems like PostgreSQL, Snowflake, Redis, Kafka, Pulsar.
Expertise in system design, architecture, reliability, observability, performance tuning, production operations, and cloud-native deployment.
Engineer with strong architectural judgment and product thinking capable of leading complex cross-team projects end-to-end.
Experience connecting technical decisions to customer value and measurable business outcomes within B2B go-to-market platforms.
Skilled at mentoring and influencing across geographically distributed teams to improve engineering quality and delivery speed.