About this role

Design and implement contemporary data transfer methodologies that seamlessly loads data into a modern OLTP
Leverage AI for faster migration, efficient data reconciliation, and smooth user transition
Partner with internal collaborators and develop strong stakeholder relationships across architecture, security, networking, platform, and application teams

10 years of hands-on experience in application development.
8 + years of hand-on experience in languages and frameworks including Java or Python.
3+ years of backend service development, including RESTful API design and implementation.
Practical experience integrating AI/ML solutions into data pipelines, complex migrations, and system reconciliation.
Proven hands-on experience with Apache Kafka (installation, configuration, development).
Familiarity with cloud platforms (AWS mainly) and containerization (Docker, Kubernetes) is a plus.
Background in real-time analytics and event-driven architecture is preferred.
Experience with CI/CD platforms and related technologies.
Strong knowledge of data streaming concepts and distributed systems.
Hands-on experience with multiple technologies like APIs, Microservices, Event Streaming, Logging & Monitoring, Databases (SQL, NOSQL), Containers, Serverless Frameworks, DevOps, etc.
Bachelor’s degree in computer science or equivalent experience required; advanced studies/degree preferred.

Technical Lead, Data Modernization – AI Engineering

Key skills