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Known multinational, metro hiring and mid-level experience, but niche agentic-AI platform skills reduce broad competition.
Core platform and cloud skills transfer across industries, but agentic-AI specialization raises domain bias.
Explicit 3+ years plus platform, cloud, CI/CD, and API security requirements, indicating moderate shortlisting strictness.
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Build, integrate, and maintain an enterprise agentic AI platform including MCP tooling and A2A communication patterns.
Develop and operate CI/CD pipelines and infrastructure automation for the AI platform.
Ensure platform service reliability and apply API security practices such as OAuth 2.0 and SSO to support secure operations.
Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent experience.
Minimum 3 years of experience in backend or platform engineering.
Practical experience with Model Context Protocol (MCP) concepts and Agent-to-Agent (A2A) communication patterns.
Working knowledge of cloud platforms, API security (OAuth 2.0, SSO), and CI/CD pipeline building or maintenance (ideally Azure DevOps or similar).
Experienced with agentic AI frameworks like LangGraph or comparable technologies for deployment and operation of agent workloads.
Able to perform basic performance testing and troubleshooting of APIs and platform services, with openness to develop scalability and reliability skills.
Collaborative team member comfortable working under guidance and following established engineering processes.