Design and implement scalable, reliable, and secure solutions using microservices, event-driven architecture, and cloud-native platforms. Develop and maintain CI/CD pipelines using Azure DevOps, integrating AI/ML, LLMs, and agentic AI capabilities for predictive diagnostics, self-healing pipelines, and intelligent automation. Build reusable frameworks, components, and accelerators that enable faster development and higher quality engineering outcomes. Apply best practices in CI/CD, infrastructure-as-code, observability, and debugging to ensure efficient and resilient software delivery. Leverage LLMs, copilots, and agent-based architectures to automate workflows, enhance decision-making, and improve engineering productivity. Drive rapid prototyping and Proof of Concepts (PoCs) using emerging AI technologies, including generative AI and autonomous agents. Collaborate across engineering, data, and HR domains to build AI-powered solutions that enhance employee experience and operational efficiency. Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C# or Python and Spark, SQL. Hands-on experience with using Agentic AI , LLM technologies as well as data analytics tools Good data visualization skills to be able to present insights that drive business impact. Knowledge of AI/ML, LLM usecase of data engineering process a significant plus Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C#, Spark and SQL OR Python OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C# or Python and Spark, SQ OR equivalent experience. Experience of Service Tree, DevOps, LLM usage Experience of working with Global teams and multiple stakeholders Experience of building models and operationalizing them in production.
