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Tier-1 employer, mid-level cloud role, and metro locations create very high applicant competition.
Requires cloud platform, multi-tenant and Kubernetes expertise, making industry background highly relevant.
Explicit years, mandatory cloud/distributed systems experience, and production service requirements increase shortlisting strictness.
Design, build, and operate scalable platform services and APIs that support AI-powered agent extensibility and integrations.
Own features end-to-end from design through deployment and production operations, ensuring performance, reliability, and security.
Collaborate across teams to improve platform capabilities, participate in architecture discussions, and mentor engineers.
Bachelor's Degree in Computer Science or related field AND minimum 4 years of technical engineering experience coding in languages like C, C++, C#, Java, JavaScript, or Python (or equivalent experience).
Proven experience building large-scale distributed systems and cloud platforms with expertise in software architecture, scalability, resiliency, and performance engineering.
Extensive experience with modern cloud ecosystems such as Azure, AWS, or Google Cloud.
Experience leading complex technical projects involving multiple engineering teams.
Senior engineer with hands-on experience developing cloud platform services for AI or intelligent agent systems.
Experienced in designing and operating multi-tenant SaaS, microservices, event-driven architectures, and developer extensibility platforms.
Capable of influencing technology strategy and platform evolution across organizations with strong technical leadership and communication skills.