Software Microservices Platform Engineering Lead, AI & Agentic AI (Hybrid)

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About this kind of role

What a Software Microservices Platform Engineering Lead, AI & Agentic AI (Hybrid) usually does. The employer's own details are in the listing.

Typically does: This role focuses on the design, development, and maintenance of a microservices platform supporting Artificial Intelligence and Agentic AI applications. Responsibilities include leading a team of engineers, defining architectural standards, and ensuring the platform’s scalability, reliability, and security. The lead will also collaborate with other engineering teams to integrate AI/Agentic AI workloads and optimize performance. A key aspect is driving innovation and adopting new technologies within the platform.

Tools and skills: Proficiency in cloud platforms (e.g., AWS, Azure, GCP), containerization technologies (Docker, Kubernetes), programming languages (e.g., Python, Go, Java), and experience with microservices architecture, API design, and DevOps practices is generally expected.

Good fit for: Individuals with strong leadership skills, a deep understanding of distributed systems, and a passion for building robust and scalable platforms are typically successful in this role.