Top Tech Jobs & Startup Jobs

Lead the architecture, design, and development of a cloud-native experimentation platform. Build scalable microservices, APIs, and analytics pipelines (Databricks/Spark), drive technical vision, mentor engineers, collaborate across global teams, and ensure scalability, security, observability, and continuous delivery.

Lead architecture, design, and development of a cloud-native experimentation platform. Build scalable microservices, APIs, and data pipelines using Databricks/Spark on AWS/Azure. Drive technical vision, mentor engineers, ensure performance, security, observability, and CI/CD best practices while coordinating cross-functional, globally distributed teams.

Lead architecture, design, and development of a cloud-native experimentation platform. Build scalable microservices, APIs, and data pipelines using Databricks/Spark on AWS/Azure. Drive technical vision, mentor engineers, enforce engineering best practices, and coordinate cross-functional global teams to deliver high-performance, secure, and reliable analytics-driven applications.

Lead architecture, design, and development of a cloud-native experimentation platform. Build scalable microservices, APIs, and data pipelines (Databricks/Spark). Drive technical vision, mentor engineers, ensure reliability/security/observability, and collaborate across global teams to modernize systems and deliver enterprise-grade analytics solutions.

Lead design and deliver enterprise-grade AI solutions using LLMs, RAG, and vector-search knowledge bases. Architect scalable, secure cloud/data systems (AWS, Cloudera, Databricks), build APIs and microservices, integrate LLM frameworks (e.g., LangChain), monitor model performance, and mentor engineers while ensuring data governance and compliance.

Lead architecture, design, and development of a cloud-native experimentation platform. Build scalable microservices, APIs, and data pipelines using Databricks/Spark, cloud (AWS/Azure), containers, and observability practices. Guide cross-functional teams, make architecture decisions, mentor engineers, and drive modernization and GenAI integration to support global analytics and experimentation capabilities.

Lead design and delivery of enterprise AI solutions using LLMs, RAG, and vector-search knowledge bases. Architect scalable, secure cloud/data integrations (AWS, Cloudera, Databricks), build APIs and microservices, monitor and optimize production models, mentor engineers, and ensure governance, security, and compliance.

Lead engineer to design and deliver production-grade AI solutions using LLMs, RAG, and vector search. Build knowledge bases, LLM-driven apps (LangChain), scalable cloud architectures (AWS/Cloudera/Databricks), APIs/microservices, and ensure security, compliance, and operational excellence while mentoring engineers.

Lead architecture, design, and development of a cloud-native experimentation platform. Drive scalable microservices, APIs, and big-data pipelines (Databricks/Spark), ensure performance, security, reliability, mentor engineers, and coordinate cross-functional/global teams to deliver enterprise-grade analytics products.

Lead design and deliver enterprise AI solutions using LLMs, RAG, and vector-search knowledge bases. Build scalable, secure cloud-native services and APIs, optimize model performance in production, mentor engineers, and enforce data governance and compliance.