Backend Engineering, telemetry monitoring, observability platforms, agentic architectures, AI systems, autonomous workflows, developer tooling

Distributed Systems, AI coding tools, sprint accuracy, DORA metrics, modern engineering practices, cloud-native architectures, delivery metrics, IaC, observability, Cycle Time

containerization , Java, Tdd, Distributed Systems, Scrum, Kubernetes, AWS, system design principles, API first, GitOps, DevOps practices, Ai, architecture

cloud, Software Engineering, FastAPI, Python, AWS, backend systems, Ai, Engineering Management, Ray, vector databases, distributed architectures

snowflake , Java, Personalization, Machine Learning, Recommender Systems, Hadoop, Natural Language Processing, Sql, Spark, Big Data Technologies, Python, Generative AI, Large Scale Machine Learning Systems, Search, Data Processing Pipelines, Transformer Architecture, Computational Advertising

Technical Architecture, Tax Calculation Engine, Global Tax Expansion, System Stabilization, Enterprise Scale Performance, Stakeholder Collaboration, AI-Powered Tax Explainability, operational transformation, Scalable Platform Systems

Python, Google Cloud for production applications, AI tools, Architectural or distributed systems experience, JS frameworks like React or Next, CI CD processes

Power Bi, Apache Spark, Databricks, Azure, Python, Sql, SODA or equivalent data quality observability tools, CI CD for data pipelines, Delta Lake, Atlan or similar data catalog and metadata platforms

Api Development, Python, CrewAI, LangChain, AutoGen, vector DBs retrieval accuracy, Agentic AI frameworks, LLMOps, RAG pipeline design optimization, Model fine-tuning, Production-grade AI systems architecture