3 of 3 Amazon OpenSearch Jobs in Central London

fast-moving, product-led environment Experience with vector databases and vector search in modern AI systems Desirable: Spark, Airflow, Kafka, Elasticsearch/OpenSearch, event-driven architectures Cloud experience (AWS, GCP or Azure) is a plus Why join High impact and ownership as an early senior hire Work with ...

CloudWatch) and Databricks Deploy and operate containerised services on Kubernetes using Terraform for infrastructure-as-code Own and scale vector search infrastructure (OpenSearch, Algolia, AWS Bedrock Knowledge Bases) and embedding pipelines Build and maintain CI/CD pipelines for inference services, retrievers, ingestion workflows, and RAG components Implement … scale Experience operating containerised services, managing CI/CD pipelines, and owning observability and reliability Familiarity with vector databases or search infrastructure (OpenSearch, Algolia) is a strong advantage Python proficiency for scripting, automation, and deploying production services Solid grasp of distributed systems, cloud-native architecture, microservices ...

Databases: Postgres, MongoDB, Redis, preferring Postgres Source Code Control: Working experience using GitHub, Bitbucket, RhodeCode Production monitoring and logging tools (i.e. CloudWatch, Prometheus, OpenSearch/Elasticsearch, ELF) Container orchestration: Docker, Kubernetes, GCP GKE, AWS ECS, AWS EKS CI/CD platforms (we are using GitHub Actions) Other … applications Applied statistics skills: distributions, statistical testing, regression analysis Cloud management and deployment – A strong background in different cloud platforms like Amazon AWS, Microsoft Azure, OpenStack Apache, and Google Cloud Platform Databases – A familiarity of working with different databases such as Postgres, MySQL, NoSQL (e.g., MongoDB), Redis ...