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Lead initiatives to enhance vector similarity search functionality within Elasticsearch to ensure industry-leading speed and relevance. Collaborate with a globally distributed team to design, implement, and maintain search features while resolving complex bugs.
Lead initiatives to develop an industry-leading vector database offering within Elasticsearch while contributing to search feature development and bug resolution. Collaborate with a globally distributed team to enhance search relevance and performance using modern Java.
Lead initiatives to enhance vector similarity search functionality within Elasticsearch to ensure industry-leading performance and relevance. Collaborate with a globally distributed team to build new features, resolve bugs, and contribute to the Lucene search engine.
Lead initiatives to enhance vector similarity search functionality within the Elasticsearch platform. Collaborate with a globally distributed team to design, implement, and maintain high-performance search features and algorithms.
Lead initiatives to develop an industry-leading vector database offering within Elasticsearch, focusing on speed and search relevance. Contribute to the Elasticsearch codebase by building new features, fixing bugs, and improving search algorithms.
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Lead initiatives to develop industry-leading vector database features within Elasticsearch and contribute to search relevance improvements. Collaborate with a globally distributed team to design, implement, and maintain high-performance search algorithms and data structures.
Lead initiatives to enhance vector similarity search functionality within Elasticsearch and contribute to the development of new search features. Collaborate with a globally distributed team to improve search relevance, resolve bugs, and optimize performance.
Lead initiatives to enhance vector similarity search functionality within the Elasticsearch platform. Collaborate with a globally distributed team to design, implement, and optimize search features while maintaining high code quality.
Lead initiatives to enhance vector similarity search functionality within the Elasticsearch platform to ensure industry-leading speed and relevance. Collaborate with a globally distributed team to design, implement, and maintain high-performance search features while contributing to the underlying Lucene codebase.
The Principal AI Engineer will provide architectural oversight and technical leadership for a distributed team building AI-integrated software solutions. Responsibilities include designing scalable systems, implementing Agentic AI strategies, and mentoring developers on modern software practices.
You will design and build backend services and REST APIs using Python and FastAPI while maintaining frontend features with React. Additionally, you will manage microservices-based systems architecture and deploy distributed applications within Kubernetes environments.
The role involves monitoring critical production systems, managing incident responses, and ensuring the reliability of cloud infrastructure. You will also maintain operational runbooks and implement automation to reduce manual tasks.
The Software Engineer will design, build, and ship full-stack features while maintaining backend services and integrations. They are responsible for ensuring system reliability through testing, monitoring, and proactive production issue resolution.
You will architect and build an automated QA framework for the WISEintelligence platform, focusing on reliability, observability, and regression prevention. You will partner with engineering teams to integrate AI-augmented testing strategies into CI/CD workflows and establish high-quality engineering standards.
You will lead and develop a team of SREs focused on improving developer productivity, engineering workflows, and internal tooling. You will partner with engineering leadership to define the long-term vision for developer platforms and drive modernization efforts across the CI/CD ecosystem.
Lead and develop a team of SREs focused on improving developer productivity, tooling, and engineering workflows. Partner with cross-functional leadership to define the long-term vision for internal platforms and drive the modernization of CI/CD and deployment systems.
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Lead a team of 20+ engineers across multiple squads to build and maintain clinical operations workflows. Oversee production reliability, technical direction, and the professional growth of direct reports and technical leads.
Lead initiatives to develop industry-leading vector database features within Elasticsearch and contribute to core search functionality. Collaborate with a globally distributed team to design, implement, and maintain high-performance search algorithms and data structures.
Lead initiatives to enhance vector similarity search functionality within the Elasticsearch platform. Collaborate with a globally distributed team to design, implement, and maintain high-performance search features and algorithms.
Lead initiatives to enhance vector similarity search functionality within the Elasticsearch platform. Collaborate with a globally distributed team to design, implement, and optimize search features while maintaining high code quality.
Lead initiatives to enhance vector similarity search functionality within the Elasticsearch platform to ensure industry-leading speed and relevance. Collaborate with a globally distributed team to design, implement, and maintain high-performance search features while contributing to the Lucene codebase.
Lead initiatives to enhance vector similarity search functionality within the Elasticsearch platform. Collaborate with a globally distributed team to design, implement, and maintain high-performance search features and algorithms.
You will design and build the hosting infrastructure for internal AI applications, including model routing, runtime patterns, and observability layers. You will also collaborate with security and IT teams to ensure AI workflows are governed, reliable, and secure.
You will be responsible for the full software development lifecycle, including design, implementation, testing, and delivery of software asset management products. You will also collaborate with product managers and architects to build scalable, high-quality code while mentoring peers.
You will be responsible for the full software development lifecycle, including design, implementation, testing, and delivery of software asset management products. You will also collaborate with product managers, architects, and quality engineers to build scalable code and mentor team members.
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Manage and scale AWS infrastructure and Kubernetes clusters using Terraform, Cilium, and ArgoCD. Develop internal automation tools and ensure system observability, security, and performance for ML workloads.
You will design, build, and maintain business-critical data pipelines and core data infrastructure across multiple regions. This includes managing data ingestion, warehouse schemas, and observability for the platform.
The Senior Backend Engineer will own the security controls integration platform, focusing on EDR vendor normalizers and live API pipelines. They will also collaborate with the engineering team on cross-cutting scale, reliability, and data processing tasks.
Architect and develop high-performance systems for GenAI model serving, data orchestration, and distributed computing. Collaborate cross-functionally to integrate emerging GenAI research and benchmarks into production-grade infrastructure.
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