201 to 225 of 280 Elasticsearch Jobs in London

motivated Good command of the English language Nice to Have Experience with any of the following would be a plus: Python, Django, AWS (or another cloud provider), any RDBS, Elasticsearch, Redis Have a bachelor’s degree in Computer Science, Engineering, or Information Systems #RemoteUK Veeva’s headquarters is located in the San Francisco Bay Area with offices in more More ❯

open-source Flyte orchestration framework and are 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 in the UK and US. More ❯

with a strong understanding of bothon-premises and cloud environments. Technical Skills: Expertise in Linux (file systems,package management, logging, etc.), Kubernetes, Windows Server,SQL Server, Active Directory, Redis, ElasticSearch, and similartechnologies. Cloud Experience: Hands-on experience with AWS, Azure,and GCP. Virtualization: Expertise in VMware vSphere, Hyper-V, andother virtualization technologies. Networking and Security: Experience with Palo Alto More ❯

Linux Systems Administrator – Hybrid working (2 days in office/3 days from home) Paying an attractive salary + fantastic benefits including bonus (averagely 20%), BUPA health insurance, 4 x salary life assurance, season ticket loan, excellent pension scheme, sponsorship More ❯

open-source Flyte orchestration framework and are 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 in the UK and US. More ❯

environment Bachelor’s Degree: Computer Science, Engineering, or a related field is strongly preferred Database Expertise: MariaDB/MySQL on Amazon RDS and/or Google Cloud SQL, and ElasticSearch Security & Compliance: Deep understanding and application of database security best practices, encryption, access control, and compliance requirements including GDPR Backup & Recovery: Experience implementing reliable backup, restore, and disaster recovery More ❯

policies, built primarily in Go (Golang) . Managing the policy lifecycle within our backend systems, including APIs and infrastructure built in Go , using technologies like Protocol Buffers , PostgreSQL , and Elasticsearch . Insight Team members have the unique opportunity to contribute beyond the core policy framework by collaborating with teams across the company. We work closely with the Agent Team More ❯

open-source Flyte orchestration framework and are 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 in the UK and US. More ❯

complex network issues Experience working with GraphQL Hands-on experience with Infrastructure as Code tools, such as Crossplane, and related troubleshooting Experience with Search Technologies and Data Storages (e.g. ElasticSearch, MongoDB, MySQL) Experience with standard software release lifecycles AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All More ❯

Collaborate & Be Transparent , Measure & Monitor , Be Creative , and finally Be Yourself . Our tech stack includes: Python, Typescript, ReactJS, Redux, Django, App Engine, CloudFirestore, Memcache, Cloud Tasks, Firebase, BigQuery, Elasticsearch, and more What You’ll Do Engineering: Design, develop, test, deploy, maintain and improve software with a strong focus on customer-facing features Product Focus: Be the technical owner More ❯

and services. Mastery in using AI tools (Copilot/Cursor/WindSurf (etc, you choose), GPT APIs, LLMs) across the entire development lifecycle Our technologies Hosting in the AWS Elasticsearch cluster, indexes for several billion documents ELK (EFK) for logging, VM, Prometheus and Grafana for metrics and monitoring Drive AI-first architectural decisions and scalable system design Own end More ❯

detail to deliver high quality output while meeting deadlines. Ability to collaborate and communicate effectively across multiple time-zones. Capability to manage competing priorities. Experience with SQL, virtualization (VMWare), ElasticSearch, or Graph Databases is beneficial. Expertise in one or more coding languages (Java, Python, Ruby) is beneficial Nuix is an equal opportunity employer including for Veterans and People with More ❯

some of the technologies you'll encounter in our stack. Experience with all of them isn't required, we value adaptability and curiosity. Node.js, TypeScript Handlebars; Sass; Webpack; Preact Elasticsearch; Neo4j; Redis; GraphQL Heroku; AWS: Mainly Lambda, Kinesis, Dynamo Fastly and VCL GitHub; CircleCI Swift, Kotlin, Kotlin-Multiplatform What's in it for you? Our benefits Our benefits vary More ❯

some of the technologies you'll encounter in our stack. Experience with all of them isn't required, we value adaptability and curiosity. Node.js, TypeScript Handlebars; Sass; Webpack; Preact Elasticsearch; Neo4j; Redis; GraphQL Heroku; AWS: Mainly Lambda, Kinesis, Dynamo Fastly and VCL GitHub; CircleCI Swift, Kotlin, Kotlin-Multiplatform What's in it for you? Our benefits Our benefits vary More ❯

landscape. Experience working with CRM, BPM, payments, and/or ticketing systems. You will have the opportunity to work across a variety of technologies including GCP, Kubernetes (GKE), Kafka, Elasticsearch, Oracle, Couchbase and Apigee, so previous experience in any of these is welcome. About Us Our vision is to give everyone the belief they can make their move. We More ❯

Join to apply for the Database Architect role at TradeCentric 1 week ago Be among the first 25 applicants Join to apply for the Database Architect role at TradeCentric Direct message the job poster from TradeCentric Job Summary: As a More ❯

Elastic SIEM/Elastic Security architecture and components. Deep expertise on the fundamentals of the overall Elastic stack components and it's mode of deployment/s. Proficiency in Elasticsearch Query DSL, EQL, and Kibana Canvas/dashboards. Hands-on experience with Beats (Filebeat, Winlogbeat, Auditbeat) and Elastic Agent. Familiarity with threat intelligence platforms and IOC ingestion (STIX/… multiline patterns, and conditionals in Beats to ensure complete, ECS-compliant event capture. Design and optimize Logstash pipelines: inputs (beats, syslog, Kafka), filters (grok, kv, date, geoip), and outputs (Elasticsearch, Kafka). Build native Elasticsearch ingest pipelines—using processors (grok, dissect, script, kv, CSV, geo_IP) to normalize and enrich events before indexing. Soft Skills & Attributes Analytical mindset More ❯

Elastic SIEM/Elastic Security architecture and components. Deep expertise on the fundamentals of the overall Elastic stack components and it's mode of deployment/s. Proficiency in Elasticsearch Query DSL, EQL, and Kibana Canvas/dashboards. Hands-on experience with Beats (Filebeat, Winlogbeat, Auditbeat) and Elastic Agent. Familiarity with threat intelligence platforms and IOC ingestion (STIX/… multiline patterns, and conditionals in Beats to ensure complete, ECS-compliant event capture. Design and optimize Logstash pipelines: inputs (beats, syslog, Kafka), filters (grok, kv, date, geoip), and outputs (Elasticsearch, Kafka). Build native Elasticsearch ingest pipelines—using processors (grok, dissect, script, kv, CSV, geo_IP) to normalize and enrich events before indexing. Soft Skills & Attributes Analytical mindset More ❯

Elasticsearch - Engineering Manager - Query Languages, Vector Database Join to apply for the Elasticsearch - Engineering Manager - Query Languages, Vector Database role at Elastic Elasticsearch - Engineering Manager - Query Languages, Vector Database 1 day ago Be among the first 25 applicants Join to apply for the Elasticsearch - Engineering Manager - Query Languages, Vector Database role at Elastic Get AI-powered … At Elastic, we have a simple goal: to solve the world's data problems with products that delight and inspire. As the company behind the popular open source projects — Elasticsearch, Kibana, Logstash, and Beats — we help people around the world do great things with their data. From stock quotes to Twitter streams, Apache logs to WordPress blogs, our products … come from connecting the dots. Diversity drives our vibe. We unite employees across 30+ countries into one coherent team, while the broader community spans across over 100 countries. The Elasticsearch team is in charge of building the core platform that powers search for Elastic’s customers and users for e-commerce, observability, SIEM, and more. This globally-distributed team More ❯

You will be working very closely with the trading, quantitative, business, and software engineering teams to support and enhance their trading applications with cutting edge technology. Skills and Experience: Required: • Production/Application support experience within a financial services company More ❯

You will be working very closely with the trading, quantitative, business, and software engineering teams to support and enhance their trading applications with cutting edge technology. Skills and Experience: Required: • Production/Application support experience within a financial services company More ❯

science, machine learning, and AI workloads using tools like Jupyter, Spacy, Transformers, and NLTK. - Big Data Platforms: Utilize big data NoSQL engines and platforms such as Hive, Impala, and Elasticsearch for data storage and processing. - BI and Visualization: Implement and support business intelligence and visualization tools like Tableau, Kibana, and PowerBI to provide actionable insights. Your Experience : - Proven experience … science, machine learning, and AI workloads using tools like Jupyter, Spacy, Transformers, and NLTK. - Big Data Platforms: Utilize big data NoSQL engines and platforms such as Hive, Impala, and Elasticsearch for data storage and processing. - BI and Visualization: Implement and support business intelligence and visualization tools like Tableau, Kibana, and PowerBI to provide actionable insights. Your Experience : - Proven experience More ❯

Salary Up to £120,000 +Benefits | London, Hybrid 3 Days 5 years experience minimum in Back-End Technologies Commercial experience with Golang Database experience with either MSQL, Redis, DynamoDB, Elasticsearch Familiarality with the AWS cloud Experience designing and implementing mictoservices architectures Experience with Kubernetes Strong understanding of infrastructure as code (Terraform) Remuneration: The Lead/Principal/Staff Back More ❯

Salary Up to £120,000 +Benefits | London, Hybrid 3 Days 5 years experience minimum in Back-End Technologies Commercial experience with Golang Database experience with either MSQL, Redis, DynamoDB, Elasticsearch Familiarality with the AWS cloud Experience designing and implementing mictoservices architectures Experience with Kubernetes Strong understanding of infrastructure as code (Terraform) Remuneration: The Lead/Principal/Staff Back More ❯

at least one or more programming languages (Go, Rust, C++, Java) Proven experience in troubleshooting and resolving complex issues in large scale backend system Experience with observability stack (ex. Elasticsearch, Logstash, Kibana, Datadog, Prometheus, Grafana) and Infrastructure-as-code (ex. Terraform) Experience with building platform solutions/services on top of major cloud providers (GCP, AWS) is a plus More ❯