101 to 125 of 228 Elasticsearch Jobs in the UK

quality software - you should take pride in the software you produce. Apache Maven Desirable Skills and Experience Industry experience of any of the following technologies/skills would bebeneficial: Elasticsearch Docker Apache Hadoop, Kafka or Camel. Javascript Knowledge of both Windows and Linux operating systems. Kubernetes Nifi Nsq Apache Ignite Arango Why BAE Systems? This is a place where More ❯

in client teams where necessary Your experience It'd be great if you have experience with: Backend technologies (e.g. Node.js, Go, Rust, etc.) Relational and Non-relational databases (e.g. ElasticSearch, Redis, PostgreSQL, etc.) System architecture approaches (e.g. microservices, event sourcing, serverless, CQRS ) Virtualisation and orchestration tools (e.g. VMs, Docker, Kubernetes, etc.) and infrastructure as code (e.g. Terraform, Pulumi) Test More ❯

communication and teamwork skills, with an ability to work in an agile, collaborative environment. Technologies You'll Work With: C++, Python Embedded Systems Linux Docker, CI/CD (GitLab) ElasticSearch, Kibana for monitoring and analytics Why Join Our Client? This is a fantastic opportunity to contribute to the development of complex, real-time software systems. More ❯

communication and teamwork skills, with an ability to work in an agile, collaborative environment. Technologies You'll Work With: C++, Python Embedded Systems Linux Docker, CI/CD (GitLab) ElasticSearch, Kibana for monitoring and analytics Why Join Our Client? This is a fantastic opportunity to contribute to the development of complex, real-time software systems. More ❯

in complex environments. Experience working within Agile squads,participating in sprint planning and backlog refinement. Bonus Points: Experience with AI-driven development tools (e.g., GitHub Copilot). Knowledge of ElasticSearch optimisation. Exposure to Mantine UI for front-endcomponent design. Understanding of Infrastructure as Code (IaC) and cloud cost optimisation. Experience with AI model integration in engineering workflows. Background in More ❯

Fully Remote Senior Full Stack Developer Role - Tech Stack: Essential: NodeJS, TypeScript, ReactJS - Desirable: NestJS, Scala, AWS, Microservices, Docker, Netty/Akka, ElasticSearch - Market Leading Healthcare Company - Fully Remote - Must be based in the UK - £75,000 - £85,000 G.R.E. Recruitment Limited is delighted to partner yet again with this market leading Healthcare company who are looking to add More ❯

based web architectures, and automation Practical skills in C#, Web API testing, Azure and modern test methodologies Strong problem-solving, troubleshooting, and data analysis skills Desirable extras Exposure to Elasticsearch/Kibana, JavaScript, Git, Azure DevOps Knowledge of Linux/Unix environments Experience with security or performance non-functional testing Familiarity with Power BI, reporting tools, and advanced data More ❯

in architecting and implementing complex software systems in a microservices environment . Knowledge of RabbitMQ (or similar messaging tools) and CI/CD pipelines (GitLab preferred). Experience with ElasticSearch highly desirable. Minimum 5 years in software development, with at least 2 years in a leadership or mentoring role. Experience in financial services compliance is a plus but not More ❯

in architecting and implementing complex software systems in a microservices environment . Knowledge of RabbitMQ (or similar messaging tools) and CI/CD pipelines (GitLab preferred). Experience with ElasticSearch highly desirable. Minimum 5 years in software development, with at least 2 years in a leadership or mentoring role. Experience in financial services compliance is a plus but not More ❯

platform Modernizing our stack, migrating monolithic components to container-based systems (e.g. EKS). Architecting and optimizing high-performance APIs serving millions of users globally Building distributed systems leveraging ElasticSearch, DynamoDB, Redis, and Sidekiq. Overseeing critical systems including billing, payments, and subscription management. Mentoring junior and mid-level engineers, driving best practices through code reviews and technical guidance. Shaping More ❯

Mission-Critical areas. WE NEED THE BIG DATA ENGINEER TO HAVE.... Current DV clearance - Standard or Enhanced Must have experience with big data tools such as Hadoop, Cloudera or Elasticsearch Experience with Palantir Foundry is preferred but not essential Experience working in an Agile Scrum environment Experience in design, development, test and integration of software IT WOULD BE NICE More ❯

Lead for their DevOps function in Nice. The current team is 4 which is a mix of DevOps Engineers & SRE's. Their Tech Stack - OpenStack, Docker, Kubernetes, Ansible, Terraform, Elasticsearch, Gitlab CI, PostgresSQL, Python, Java, Node The Team Lead will:- Contribute to the implementation of best practices and the automation of deployments in order to ensure a better quality More ❯

Lead for their DevOps function in Nice. The current team is 4 which is a mix of DevOps Engineers & SRE's. Their Tech Stack - OpenStack, Docker, Kubernetes, Ansible, Terraform, Elasticsearch, Gitlab CI, PostgresSQL, Python, Java, Node The Team Lead will:- Contribute to the implementation of best practices and the automation of deployments in order to ensure a better quality More ❯

Stack -Kibana Nice to have skills: -stakeholder communication skills -strong project management Responsibilities: Minimum number of relevant years of experience: 5 Detailed Job Description: -Ability to deploy and configure Elasticsearch, Logstash, Kibana for centralized logging/data analytics; setting up ELK clusters with high availability/optimization -Proficiency in containerization using Docker and orchestration with Kubernetes, ensuring effective management More ❯

strong project management and stakeholder communication skills.Must have skills: -Splunk -ELK Stack -KibanaNice to have skills: -stakeholder communication skills -strong project managementDetailed Job Description: -Ability to deploy and configure Elasticsearch, Logstash, Kibana for centralized logging/data analytics; setting up ELK clusters with high availability/optimization -Proficiency in containerization using Docker and orchestration with Kubernetes, ensuring effective management More ❯

the ability to analyse and understand frameworks and functionality to ensure optimal experiences within a mobile-first development approach Experience with logging and analysis tools to quickly diagnose errors (Elasticsearch, Rollbar, Sentry) Great communication skills as a core member of an internationally based team More ❯

ML model development, training, and deployment. Design and develop scalable backend and full-stack systems with robust APIs and efficient data flows. Work with SQL & NoSQL databases (Postgres, MongoDB, Elasticsearch) and optimize data storage. Implement DevOps best practices, including CI/CD pipelines and reliable infrastructure. Lead data engineering efforts to support analytics and product enhancements. Who You Are More ❯

ML model development, training, and deployment. Design and develop scalable backend and full-stack systems with robust APIs and efficient data flows. Work with SQL & NoSQL databases (Postgres, MongoDB, Elasticsearch) and optimize data storage. Implement DevOps best practices, including CI/CD pipelines and reliable infrastructure. Lead data engineering efforts to support analytics and product enhancements. Who You Are More ❯

ML model development, training, and deployment. Design and develop scalable backend and full-stack systems with robust APIs and efficient data flows. Work with SQL & NoSQL databases (Postgres, MongoDB, Elasticsearch) and optimize data storage. Implement DevOps best practices, including CI/CD pipelines and reliable infrastructure. Lead data engineering efforts to support analytics and product enhancements. Who You Are More ❯

ML model development, training, and deployment. Design and develop scalable backend and full-stack systems with robust APIs and efficient data flows. Work with SQL & NoSQL databases (Postgres, MongoDB, Elasticsearch) and optimize data storage. Implement DevOps best practices, including CI/CD pipelines and reliable infrastructure. Lead data engineering efforts to support analytics and product enhancements. Who You Are More ❯

ML model development, training, and deployment. Design and develop scalable backend and full-stack systems with robust APIs and efficient data flows. Work with SQL & NoSQL databases (Postgres, MongoDB, Elasticsearch) and optimize data storage. Implement DevOps best practices, including CI/CD pipelines and reliable infrastructure. Lead data engineering efforts to support analytics and product enhancements. Who You Are More ❯

Having a solid understanding of analytics engines and columnar databases to support performance-optimised data solutions. Experience with full-text search platforms is highly desirable; familiarity with technologies like Elasticsearch or Solr is a strong advantage. Bachelor's or master's degree in computer science, Information Systems , Engineering , or a related field. Deep expertise in Databricks , including Spark (PySpark More ❯

work, you must hold enhanced DV Clearance. WE NEED THE DATA ENGINEER TO HAVE.... Current enhanced DV Security Clearance Experience with big data tools such as Hadoop, Cloudera or Elasticsearch Experience With Palantir Foundry Experience working in an Agile Scrum environment with tools such as Confluence/Jira Experience in design, development, test and integration of software Willingness to More ❯

You have taken entire products or features from ideation to production and you've measured their impact. You have experience with the following technologies (or similar): Python, FastAPI, Postgres, ElasticSearch, RabbitMQ, LLMs, Typescript, React You enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the customer. You thrive in a fast paced environment. More ❯

we also have some projects using other languages and frameworks such as Elixir/Phoenix, Java and Go. We also use open many source products such as Postgresql, Grafana, ElasticSearch and Kafka. We follow a hybrid working model which means we spend 3 days each week working together in the office. What you'll be doing This is a More ❯