…service design in distributed, high-throughput environments Exposure to platform or developer experience engineering, including internal tooling, shared infrastructure patterns, or delivery enablement frameworks.

…Manage and optimize the infrastructure for Vector Databases and distributed caches (Redis), ensuring high availability for RAG data. Go-Based Tooling: Replace brittle shell…

…retrieval (Graph RAG) Exposure to LLMs, RAG architectures, vector databases, and embedding-based retrieval systems Fine-grained authorization (OpenFGA / Zanzibar-style) and policy engines…

…for low-latency retrieval and agent/session memory Exposure to LLMs, RAG architectures, vector databases, and embedding-based retrieval systems Proficiency with Infrastructure as…

…Deep expertise in Apache Spark architecture, configuration, optimization, tuning, distributed systems, large-scale data processing, and performance engineering. Demonstrated success migrating enterprise analytics platforms…

…Experience with LLMs, Retrieval-Augmented Generation (RAG), vector databases, AI agents, and MLOps. Experience leading multi-petabyte modernization programs and globally distributed delivery teams…

…Exposure to enterprise platform integrations such as ServiceNow, Snowflake, or similar systems. Familiarity with observability tools such as Datadog, Prometheus, or similar platforms. #LI…

…databases Bonus Points: Deep understanding of Elasticsearch and Lucene, including Elastic Certified Engineer certification BS, MS or PhD in Computer Science or related engineering…

…platform’s architecture. • Develop and maintain backend infrastructure, focusing on data ingestion, storage, processing, indexing, and retrieval systems. • Implement data modeling and database design…

…Experience building search, retrieval, ranking, vector database, or enterprise knowledge systems. Experience with asynchronous communication patterns, message queues, pub/sub systems, data streaming platforms…

…scalable backend systems. - Experience with relational databases (e.g., PostgreSQL) and cloud platforms (e.g., AWS) to design and operate distributed systems. - Proven experience…

…existing data pipelines (data collection tools and databases, model training pipelines, integrations into the Dashlane web extension) Work with ML Engineers, Software Engineers, product…

Are you passionate about standardizing data platforms and automating data engineering to drive analytics and reporting? Do you excel in dynamic, fast-paced environments…