1 to 25 of 26 Elasticsearch Jobs in Cheltenham

Java (primary language) with exposure to JavaScript or Python Cloud platforms: AWS or Azure DevOps tooling: Jenkins, GitLab, Docker, Kubernetes, OpenShift Databases: SQL, MongoDB, Elasticsearch Experience with agile delivery and CI/CD pipelines Experience working in secure or regulated environments Candidate Requirements Proven software engineering experience at senior More ❯

Java (primary language) plus exposure to JavaScript or Python Cloud platforms : AWS or Azure DevOps tooling : Jenkins, GitLab, Docker, Kubernetes, OpenShift Databases : SQL, MongoDB, Elasticsearch Agile delivery and CI/CD pipelines Experience working in secure or regulated environments What We're Looking For Proven software engineering experience at More ❯

7+ years of hands-on software development experience in Java (11–21) or Python . Deep expertise in backend technologies: SQL/NoSQL databases , Elasticsearch , MongoDB , Spring Boot , REST/GraphQL APIs , and ORM frameworks like Hibernate. Strong proficiency in modern frontend technologies such as React , Redux , Vue , and More ❯

tools like Jenkins, GitLab, Docker, OpenShift, or Kubernetes. Proven experience in designing, developing & deploying scalable backend systems. Knowledge of database technologies such as SQL, Elasticsearch, or MongoDB Security Clearance: You must hold eDV UK government clearance Ready to take on a role where your work truly matters? Apply now More ❯

solutions using multiple cloud vendors (e.g., Azure Load Balancer and Application Gateway). Support the installation and maintenance of a logging cluster using Logstash, ElasticSearch, and Kibana. Perform initial analysis on incidents and escalate issues to the appropriate support level when necessary. Manage Application ID and provide cloud elasticity More ❯

solutions using multiple cloud vendors (e.g., Azure Load Balancer and Application Gateway). Support the installation and maintenance of a logging cluster using Logstash, ElasticSearch, and Kibana. Perform initial analysis on incidents and escalate issues to the appropriate support level when necessary. Manage Application ID and provide cloud elasticity More ❯

the Atlassian suite : Bitbucket, Jira, and Confluence Desirable Skills Knowledge of Apache NiFi Front-end development with React (JavaScript/TypeScript) Working knowledge of Elasticsearch and Kibana Experience developing for cloud environments, particularly AWS (EC2, EKS, Fargate, IAM, S3, Lambda) Understanding of Hibernate ORM Experience building microservice or serverless More ❯

like JUnit or Jest and using Git for version control. Experience with CI/CD tools like GitLab , Jenkins , Concourse , or even Apache NiFi , Elasticsearch , or Kibana . Agile development experience ( SCRUM , Kanban ). Building software for the cloud (we're especially keen if you know AWS , or have More ❯

Cloud and containerization technologies such as AWS, OpenShift, Kubernetes, Docker DevOps methodologies, such as infrastructure as code and GitOps Database technologies, e.g. relational databases, Elasticsearch, Mongo Why join Gemba? Gemba is built upon four core values that we believe make Gemba a great place to work! Our people are More ❯

based architectures in AWS or Azure Experience with DevOps tools such as Jenkins, GitLab, Docker, OpenShift, or Kubernetes Knowledge of database technologies like SQL, Elasticsearch, or MongoDB Security clearance: You must already hold the highest level of UK government clearance. Our team is ready to answer questions and guide More ❯

Experience: Languages: Java, JavaScript, C++ or Python. Cloud-based architectures: AWS or Azure. DevOps Automated Deployment: Jenkins, Docker, OpenShift or Kubernetes. Database Technologies: SQL, Elasticsearch or MongoDB. Testing Technologies: Cypress, Selenium or Cucumber. Your Future Team: “My purpose; to lead a team of software engineers with the brightest minds More ❯

C++ or Python Experience using Cloud-based architecture, AWS or Azure DevOps Automated Tools, Jenkins, Docker, OpenShift or Kubernetes Experience using SQL, MongoDB or Elasticsearch Experience using Testing technologies TO BE CONSIDERED Please either apply through this advert or email me directly via lewis.hayward@searchability.com . For further information More ❯

production environments. Experience managing applications with Helm Charts and supporting microservices-based architecture. Applications & Services: Direct experience deploying and supporting Apache NiFi , Elastic ECK (ElasticSearch on Kubernetes) , and Artifactory . Familiarity with container image management and application lifecycle support. Security & Infrastructure: Use of HashiCorp Vault for managing secrets, certificates More ❯

with cloud platforms (especially AWS), microservices, and containerisation DV clearance (or eligibility to obtain it) Nice to Have: Experience with Apache NiFi, JSF, Hibernate, Elasticsearch, Kibana, or AWS services like EC2, Lambda, EKS CI/CD pipeline expertise using GitLab Knowledge of secure, scalable architectures for cloud deployments O.K. More ❯

receive training in all aspects of: .NET 9, JavaScript, React, Angular 19, Microservices, MongoDB, Vue.js, TypeScript, Azure, AWS, Web API 2, Entity Framework, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. These .NET Developer positions come with the following benefits: 10% bonus (5% based on personal performance More ❯

frameworks such as JUnit 5.x (Jupiter) Experienced with Git version control Oracle/Relational Databases and/or Mongo GitLab CI/CD Pipelines Elasticsearch and Kibana Knowledge of developing software for cloud deployment - specifically AWS Experienced in supporting maturation of CI/CD software pipelines for Cloud deployments More ❯

frameworks such as JUnit 5.x (Jupiter) Experienced with Git version control Oracle/Relational Databases and/or Mongo GitLab CI/CD Pipelines Elasticsearch and Kibana Knowledge of developing software for cloud deployment - specifically AWS Experienced in supporting maturation of CI/CD software pipelines for Cloud deployments More ❯

Preferred education Bachelor's Degree Required technical and professional expertise Experience in AWS management including; EC2 Instances and Auto Scaling Groups, RDS, VPCs, SQS, Elasticsearch Service. Experience with Python or Java. Experience with CI/CD pipelines. Experience in writing unit tests and/or functional tests. Experience with More ❯

containerisation technologies, specifically Docker, Amazon ECS and ECR Brings expertise in both relational and NoSQL databases (MySQL, MariaDB, MongoDB, DynamoDB) Has experience with search (Elasticsearch) and caching technologies (Redis) Has knowledge of infrastructure as code (IaC) using tools such as Terraform Has a strong understanding of networking (VPCs, SGs More ❯

AWS or Azure. Experience with DevOps automated deployment tools such as Jenkins, GitLab, Docker, OpenShift or Kubernetes. Understanding of database technologies such as SQL, Elasticsearch or MongoDB. Role clearance type: You must currently hold the highest level of UK Government clearance. #J-18808-Ljbffr More ❯

communicate clearly - written, verbal, and visually - in the right level of detail for any audience. You've built production systems based on OpenSearch/Elasticsearch, MongoDB and/or Apache Kafka. Bonus Skills Expertise in Javascript or Python. Experience deploying software into the cloud and on-premise. Experience with More ❯

infrastructure automation is required. Application Development and Deployment: Utilize NodeJS, ReactJS, and RESTful APIs to develop and deploy scalable applications. Ensure seamless integration with Elasticsearch and Apache NiFi. CI/CD Pipelines: Design and implement CI/CD pipelines using Jenkins, Kubernetes, and OpenShift. Automate testing, building, and deployment … and OpenShift for orchestration. Solid understanding of CI/CD principles and experience with Jenkins. Strong scripting skills (Bash, Python, Ruby). Familiarity with Elasticsearch and Apache NiFi is desirable. Desirable Certifications AWS Certifications (preferably AWS Certified DevOps Engineer - Professional or higher). Red Hat Certified Engineer (RHCE) or More ❯

observability of data pipelines. Database Engineering : Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage models for unified access and processing. Data Governance … with Docker and Kubernetes in deploying containerized data workflows. Good understanding of cloud services (AWS or Azure). Hands-on experience with ELK stack (Elasticsearch, Logstash, Kibana) for scalable search and logging. Familiarity with AI models supporting data management. Experience working with Lakehouse systems , data denormalization , and data labeling More ❯

to perform complex troubleshoots, working with other infrastructure teams to resolve issues Required Skills Prior experience deploying and managing large-scale data analytics platforms – ElasticSearch (preferred) or Splunk Experience with Cloud integration with a major Cloud Service Provider like GCP, Azure or AWS Infrastructure automation and integration experience, ideally … Git, Jenkins, Jira) Strong analytical and troubleshooting skills Appreciation of Agile methodologies, specifically Kanban Desired Skills Administrator or architect level certifications in Splunk or Elasticsearch Data engineering and configuration experience inc. writing and testing field extractions using regular expressions Familiarity with cybersecurity concepts, event types, and monitoring requirements. #J More ❯

will be using python (specifically pyspark) and Node.js for processing data, backed by various Hadoop stack technologies such as HDFS and HBase. MongoDB and Elasticsearch are used for indexing smaller datasets. Airflow & Nifi are used to co-ordinate the processing of data, while Jenkins, Jira, Confluence and Github are … Python (specifically pyspark) and Node.js for processing data You will be using Hadoop stack technologies such as HDFS and HBase. Experience using MongoDB and Elasticsearch for indexing smaller datasets would be beneficial. Experience using Airflow & Nifi to co-ordinate the processing of data would be beneficial You will be More ❯