51 to 75 of 157 Elasticsearch Jobs in London

CentOS/RHEL).Experience with infrastructure as code (IAC) practices. Configuration management: Puppet and AnsibleOrchestration: TerraformDCIM/IPAM tools, e.g. NetBoxLog ingestion: OpenSearch/Elasticsearch, Logstash, Kibana, Filebeat, SyslogContainerisation: Docker and/or KubernetesVirtualisation experienceCloud: AWSDatabases: PostgreSQL and/or MySQLApplication Servers: Apache or nginx, WSGIDeep understanding ...

with the following is a plus: C# (latest), .NET 10, EF Core, SQL Server TypeScript/JavaScript, SCSS/CSS, HTML/Razor ML.NET, Elasticsearch, AWS (S3/Route53/EC2/CloudFront) Infrastructure as Code (Terraform) Continuous Deployment #J-18808-Ljbffr ...

powered by a modern, high-performance engineering stack designed for scale and reliability: Java 21 (Spring), Go, Node.js (TypeScript), PostgreSQL, MariaDB, Redis, Kafka, ClickHouse, Elasticsearch, Docker, Grafana, AWS, Kubernetes and Kibana. About the role Staff Backend Engineers shape technical direction across teams while remaining close to the systems ...

deployed to AWS. Pipeline code is written in Python. We use SQS and Kafka to automate data connections and leverage BigQuery and ElasticSearch for data storage. We believe strongly in automation and testing to ensure delivery of robust and correct systems. We are a distributed team, working ...

solutions to both business and technical challenges. What you’ll be doing Designing and building new features and enhancements using Java 17+, Spring Boot, Elasticsearch, Kafka, Gradle, Hibernate, Couchbase, SQL, and Docker. Collaborating with cross‐functional teams and stakeholders to shape solutions and align on priorities. Taking ownership ...

heart of our system, offers high availability, low latency, and message persistence. We provide gRPC and HTTP APIs for various metadata, while PostgreSQL and ElasticSearch serve as our go-to databases.Responsibilities:Design, implement and maintain complex designs/features written in Python and RustImplement alerting and monitoring to ensure ...

Environment Experience delivering within data, analytics, intelligence, investigative or enterprise technology platforms is highly desirable. Exposure to Prometheus or comparable data/intelligence platforms , Elasticsearch, Kibana, Python, data integration/ingestion or similar technologies would be advantageous. You do not need to have experience with every technology listed; strong ...

Kubernetes, CI/CD, and monitoring Strong debugging, collaboration, and continuous-learning mindset Nice to Have: Experience with vector databases and RAG (e.g., OpenSearch, ElasticSearch) Ready to build what's next? Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more ...

systems Strong Python programming experience A habit of making, and justifying, architectural calls, not just executing them Nice to Have: Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, MongoDB, Qdrant/Milvus/pgvector, Pandas/Polars, cloud infra (GCP/AWS/Azure), and time in a high-growth ...

systems Strong Python programming experience A habit of making, and justifying, architectural calls, not just executing them Nice to Have: Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, MongoDB, Qdrant/Milvus/pgvector, Pandas/Polars, cloud infra (GCP/AWS/Azure), and time in a high-growth ...

basics (Gitlab pipelines) Data science and MLOps knowledge (highly desirable) Spark (highly desirable) Scala (highly desirable) S3 (highly desirable) Graph databases (highly desirable) Elasticsearch (highly desirable) Vector stores (highly desirable) OIDC/OAuth (highly desirable) NodeJS (highly desirable) React (highly desirable) Will be required to hold a higher level ...

degree in Computer Science or similar. Familiar with Docker, Kubernetes and cloud technologies such as AWS. Experience with processing large data sets on Elasticsearch or similar data stores. Experience with event-driven architectures (CQRS, Kafka Streams etc). Excellent knowledge of computer science and networking fundamentals. Why Cisco ...

productivity.Preferred QualificationsBachelor’s degree in Computer Science or similar.Familiar with Docker, Kubernetes and cloud technologies such as AWS.Experience with processing large data sets on Elasticsearch or similar data stores.Experience with event-driven architectures (CQRS, Kafka Streams etc).Excellent knowledge of computer science and networking fundamentals.Why Cisco? At Cisco ...

deployed to AWS. Pipeline code is written in Python. We use SQS and Kafka to automate data connections and leverage BigQuery and ElasticSearch for data storage. We believe strongly in automation and testing to ensure delivery of robust and correct systems. We are a distributed team, working ...

large-scale data storage, streaming, and warehousing systems.Experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.).Show a track record of mentoring and leading teams in successful projects.Possess excellent communication ...

ingress, networking, and load balancing. Experience with Kubernetes. Experience with cloud computing services. Familiarity with common observability and reliability toolchains such as Grafana, Prometheus, Elasticsearch, Kibana, or Jaeger. Ability to use AI-assisted engineering tools responsibly, including validating outputs, understanding failure modes, and applying secure handling of sensitive information. ...

ingress, networking, and load balancing. Experience with Kubernetes. Experience with cloud computing services. Familiarity with common observability and reliability toolchains such as Grafana, Prometheus, Elasticsearch, Kibana, or Jaeger. Ability to use AI-assisted engineering tools responsibly, including validating outputs, understanding failure modes, and applying secure handling of sensitive information. ...

tech and people, head to our tech blog. ️What you'll be doingDesigning and building new features and enhancements using Java 17+, Spring Boot, Elasticsearch, Kafka, Gradle, Hibernate, Couchbase, SQL, and Docker.Collaborating with cross-functional teams and stakeholders to shape solutions and align on priorities.Taking ownership of key technical ...

strong understanding of observability, SLOs, alerting and cost management for large-scale systems Operational experience with our key infrastructure components: Kafka, MongoDB, PostgreSQL, Elasticsearch, and Istio Familiarity with LLMOps is a plus; helping shape how we operate LLM-powered systems at scale (model gateways and routing with LiteLLM, experiment ...

tech and people, head to our tech blog. What you'll be doingDesigning and building new features and enhancements using Java 17+, Spring Boot, Elasticsearch, Kafka, Gradle, Hibernate, Couchbase, SQL, and Docker. Collaborating with cross-functional teams and stakeholders to shape solutions and align on priorities. Taking ownership ...

including service discovery, ingress, networking, and load balancing.Experience with Kubernetes.Experience with cloud computing services.Familiarity with common observability and reliability toolchains such as Grafana, Prometheus, Elasticsearch, Kibana, or Jaeger.Ability to use AI-assisted engineering tools responsibly, including validating outputs, understanding failure modes, and applying secure handling of sensitive information. ...

plusA strong understanding of observability, SLOs, alerting and cost management for large-scale systemsOperational experience with our key infrastructure components: Kafka, MongoDB, PostgreSQL, Elasticsearch, and IstioFamiliarity with LLMOps is a plus; helping shape how we operate LLM-powered systems at scale (model gateways and routing with LiteLLM, experiment ...

take analyst feedback into requirements discussions rather than treating requirements as someone else's problem. Desirable Currently working with Go-based microservices. Experience with Elasticsearch and PostgreSQL. Experience with streaming or event-driven pipelines. Experience with feature flags and trunk-based development. Features land close to weekly, and individual ...

search pipeline design. Experience with Model Context Protocol (MCP). Experience with large-scale data platforms such as Databricks, and search engines such as Elasticsearch, in an analytical or AI feature engineering context. Demonstrated ability to design enterprise-grade AI systems with strong non-functional requirements: security, privacy, reliability ...

large‐scale data storage, streaming, and warehousing. Experience with database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and query engines (Trino, Presto, Snowflake). Track record of mentoring and leading teams in successful projects. Excellent communication and collaboration skills, with ...