7+ years of experience in building and managing big-data platforms and programming experience in Java
Working experience with search and information retrieval (Lucene, Solr, Elasticsearch, Milvus, Vespa)
Experience with Docker, Kubernetes or EKS
Experience with debugging issues on distributed systems.
Knowledge of software engineering practices and standard methodologies for the full software development lifecycle
Experience with public cloud (AWS/GCP)
Have created frameworks to deploy platforms in AWS/Azure/GCP.
Experience in building, tuning, scaling, and monitoring applications to process real-time, near-real-time and batch data
Good understanding of AI/ML stack - GPUs, MLFlow, LLM models is a plus.
Understanding of data modeling, data warehousing, and ETL concepts is a plus
Ability to lead and mentor junior team members, provide technical guidance, and collaborate effectively with multi-functional teams to deliver complex projects.
Commitment to staying updated with the latest advancements in machine learning and data science, and willingness to learn new tools and technologies as needed.
Understanding of business objectives and the ability to translate them into data-driven solutions that drive value and impact for the organization.