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Tier-1 employer, mid-level generalist cloud title, and metro locations make competition high.
Cloud platform and distributed-systems expertise are highly domain-specific, limiting cross-industry transferability.
Explicit years plus required cloud platform and distributed systems experience make screening moderately strict.
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Design, build, and operate scalable platform services and APIs enabling AI-powered agent and workflow capabilities.
Own features end-to-end from design through deployment and production, focusing on performance, scalability, and reliability.
Engage in architecture discussions, mentor engineers, and collaborate with cross-functional teams to maintain high engineering standards.
Bachelor's Degree in Computer Science or related field plus 4+ years of technical engineering experience with coding (C, C++, C#, Java, JavaScript, Python, or equivalent).
Proven experience building large-scale distributed systems and cloud platforms (Azure, AWS, or Google Cloud).
Strong skills in software architecture, system design, scalability, resiliency, and performance engineering.
Experience leading complex technical projects involving multiple engineering teams.
Senior engineer comfortable owning platform capabilities supporting AI, agent, and extensibility solutions using modern cloud ecosystems.
Experienced in developer or integration platforms, multi-tenant SaaS, and distributed, microservices or event-driven architectures.
Capable of driving technology strategy and platform evolution across organizations, demonstrating technical leadership and collaboration skills.