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Tier-1 brand, senior generalist title, Pune metro, and broad AI/cloud skillset increases competition.
Strong ML/AI specialization and enterprise governance needs make cross-industry fit moderately constrained.
Extensive Principal-level demands and mandatory AI, Kubernetes, and cloud experience imply high strictness.
Embed within Mastercard Services teams as a senior engineer to write production code and accelerate delivery during critical project phases.
Deploy AI solutions (e.g., assistants, agents) to improve software development processes and deliver measurable outcomes in Services programs.
Coach engineering teams on AI-first practices and transfer knowledge to enhance long-term team capabilities and scale reusable AI patterns across Services.
Extensive hands-on software engineering experience at Principal or Senior Principal Engineer level with production-grade system delivery.
Advanced expertise in containerization and orchestration technologies such as Docker, Kubernetes, and Service Meshes in hyper-scale cloud environments.
Deep, current experience building and deploying AI and Agentic solutions involving LLMs, RAG, agent frameworks, and AI lifecycle governance.
Work Experience Required: Not explicitly mentioned in the JD.
Senior, autonomous engineer capable of quickly assimilating into diverse teams and delivering impactful outcomes under tight timelines.
Proficient in modern development practices including CI/CD, automation, cloud-native architectures, and AI-enhanced software lifecycle.
Experienced in coaching and enabling teams to adopt AI-assisted development, creating lasting process improvements and reusable AI solutions.