Lead Full Stack Engineer

Lead Full Stack Engineer -AI Data Engineer

Location - Cary NC (Hybrid)

Key Responsibilities:

• Hands on development and setup of data pipelines, databases, and data sources to build Client and AI apps.

• Develop architecture and solution designs to deliver capabilities and features.

• Develop iterative plans and strategies. Estimate as part of release plan and iteration planning

• Mentor, motivate, influence, drive innovation, and coach broader technical team. Provide technical and solution guidance to the team. Conduct design and code reviews for the team delivery.

• Oversight of junior developer and vendor development work

• Key participant in user story breakdowns, user story elaboration, and user story reviews

• Help drive broader understanding of AI tools and technologies

• Serve as an escalation point for deployments, and change oversight, enabling highly visible business priorities.

• Responsible for developing and maintaining SRE runbooks, and being available to diagnose and resolve production issues.

Required Experience

• 8+ years hands on development of realtime and batch data pipelines.

• Data pipeline development using ETL tools to collect, process and transform raw data

• Database setup on Azure or AWS for structured and unstructured data- PostgreSQL, MongoDB, CosmosDB, etc.

• Use of tools to store, process, and retrieve data - Hadoop, Spark, Kafka, API's, data lakes

• Expertise in programming languages and libraries - Python, Scala, PyTorch, NumPy, Pandas

• 5+ years hands on DevOps skills. Prefer Azure DevOps otherwise similar alternate technologies is a must.

• Hands on experimentation with prompt engineering, semantic search and GenAI

• Advanced knowledge of the principles in software engineering.

• 10+ years related work experience successfully delivered on large, complex projects with demonstrated technical leadership in delivery.

Preferred Experience

• BS/MS in Comp Science/IS.

• Development of Semantic search using vector databases or similar solutions

• Experience in structuring and creating training datasets for GenAI

• Experience working in cross-functional, multi-location teams.
Experience in SAFe, Agile methodology, tools, and Agile integration with Waterfall.