151 to 175 of 305 Elasticsearch Jobs

languages such as bash, Python, or Go Must have a DoD 8140/8570 compliance certification (i.e. Security+ certification) Preferred Experience with big data technologies like: Hadoop, Spark, MongoDB, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers and Kubernetes 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 ❯

business lead Implementing automated regression testing for the software developed Skills and Experience: Excellent working knowledge of ASP.NET, C#, HTML, JavaScript, jQuery, React Framework, MS SQL Server, Mongo DB, Elasticsearch Understanding of SOLID development principles Worked previously on projects using the Umbraco CMS Continuous Delivery skills, tools and techniques (e.g. Git, Github, Team City, Octopus, Jenkins, Selenium, etc.) Familiar More ❯

for a degree Technical Skills: Proficient in AngularJS, React, or Vue.js Java Web or NodeJS development Strong CSS implementation skills Experience with RESTful services Desired Skills Experience with: MongoDB, ElasticSearch, PostgreSQL React, Vue, Redux Docker & containerized environments SCSS, Tailwind CSS, Web Sockets AWS Cloud platforms Technical documentation & Agile development GitLab CI/CD, Jira, Confluence SOE-compliant development standards More ❯

Required Qualifications • Experience with JavaScript (React, Angular, or similar) and Java (Spring Boot or similar) • Experience integrating and querying Elasticsearch • Proficiency in RESTful API development and microservice design • Experience working with JSON, XML, and structured metadata • Familiarity with version control systems (e.g., Git) • Strong problem-solving skills and attention to detail • Communication and collaboration abilities Fourteen (14) years' experience More ❯

business lead Implementing automated regression testing for the software developed Skills and Experience: Excellent working knowledge of ASP.NET, C#, HTML, JavaScript, jQuery, React Framework, MS SQL Server, Mongo DB, Elasticsearch Understanding of SOLID development principles Worked previously on projects using the Umbraco CMS Continuous Delivery skills, tools and techniques (e.g. Git, Github, Team City, Octopus, Jenkins, Selenium, etc.) Familiar More ❯

prior relevant experience or a MS degree and 10+ years of prior relevant experience. Preferred Qualifications: • AWS certifications • Experience working with large scale data technologies (e.g. AWS Aurora, Hadoop, Elasticsearch, etc.) • Experience working within a low to high development/deployment environment Benefits and Perks: • Competitive salary and comprehensive benefits package • Commitment to diversity and inclusion in the workplace. More ❯

Services (AWS). • Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar. • Proficient experience utilizing JavaScript, Elasticsearch, JSON, SQL, XML. • Working knowledge with datastores MongoDB/DynamoDB, PostgreSQL, S3, Redshift, JDBC/ODBC, and Redis. • Familiar with Linux/Unix server environments. • Experience with Agile development More ❯

engineer with an ownership mindset, strong communication skills, and a collaborative approach. 5+ years’ experience in full-stack development. Strong background in RAG systems , vector databases (pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/ More ❯

Containerization - Docker, Kubernetes • Experience with Enabling tools: Git, Maven, Jira • Experience with Continuous Integration/Continuous Testing: Bamboo, Jenkins, GitLab Cl/Pipelines • Experience with Continuous Monitoring: ELK Stack (ElasticSearch, Logstash and Kibana), Nagios Requirements: • Must be a U.S. citizen. • Must hold clearance with a FS Polygraph Physical Requirements: • This position involves sedentary work with physical requirements expected for 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 ❯

techniques Capacity planning and resource management Security accreditation processes Additional Technical Experience Cloud platforms (AWS GovCloud, SC2S, C2S) Containerization (Docker, Kubernetes) Configuration management tools LDAP/OpenLDAP, ADFS, Keycloak Elasticsearch, Splunk, and other data platforms DevSecOps practices and tools SAFe Agile methodologies Experience as a scrum participant and software release processes Available to work after hours when mission requires More ❯

of experience may be substituted for a degree Data Flow and Processing: Hands-on experience with Apache NiFi for building and managing data flows. Search and Analytics: Experience with Elasticsearch for powerful searching and data analytics. Containerization: Proficiency with Docker for developing, shipping, and running applications in a consistent environment. Cloud Computing: Familiarity with Amazon Web Services (AWS) cloud More ❯

gain the expertise needed to be successful in your role. Nice-to-Haves Tech stack knowledge. Our core stack is C#/Node, React, TypeScript, MongoDB/SQL/ElasticSearch and AWS, so experience with these is ideal. Our Role Champion work-life harmony . We'll give you the flexibility you need in your work life (e.g., flexible More ❯

Go, SQL. Requirements • Experience working with both front and back-end programming languages and SQL/No-SQL database technologies: Desired: ReactJS, NodeJS, Python, PostgreSQL. Alternatives: VueJS, Go, MySQL, ElasticSearch • Experience working in Agile environments and facilitating working sessions across teams • Knowledgeable about Web Accessibility requirements 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 ❯

shell scripting Demonstrated experience with development and deployment of applications in the Commercial Cloud Services (C2S) environment or an Amazon Web Services cloud environment Demonstrated experience with Solr or ElasticSearch Demonstrated experience to cleanse and process (Extract, Transform, Load - ETL) large raw data sets. Demonstrated experience developing web-based platforms and services to perform data analytics on large data 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 ❯

Matlab, etc.) Expert knowledge in databases (SQL, NoSQL, Graph, etc.) and data architecture (Data Lake, Lakehouse) Experience with AWS solutions (Kubernetes, DataLakes, Open AI Services). Experience with PostgreSQL, ElasticSearch, MongoDB, and graph databases. Experience with GenAI enabled daily workflows (coding, testing, analytics). Experience with one or more SQL-on-Hadoop technology (Spark SQL, Hive, Impala, Presto, etc. More ❯

Required Skills: • Extract, Transform and Load (ETL) tools and processes. • Python • AWS • SQL • APIs • Linux • Geospatial tools/data Desired Skills: • Docker • Jenkins • Hadoop/Spark • Kibana • Kafka • NiFi • ElasticSearch In addition to a competitive salary, APK Solutions offers an exceptional comprehensive benefits package to include: • 6% contribution in 401k - No match required and immediately vested! • 100% employer paid More ❯

tensorflow, pytorch, matplotlib). At least 1 year of experience deploying machine learning models in production environments. 1-2 years of experience working with SQL/NoSQL databases (e.g., Elasticsearch, graph databases). 3 years of experience using Git or similar version control systems. At least 1 year of experience with Docker and/or Kubernetes. Strong sense of More ❯

load balancers Authored and lead successful open source libraries and projects Contributions to the open source community (GitHub, Stack Overflow, blogging) Existing exposure to Go, Scala, AWS, Cassandra, Kafka, Elasticsearch Prior experience in the cybersecurity or intelligence fields More ❯

Kubernetes) Cloud platforms (AWS GovCloud, SC2S, C2S) Windows and Linux operating systems Programming in Python for data processing, automation and ETL workflow orchestration Lucene-based search/indexing platforms: Elasticsearch and Apache Solr Message brokers (Kafka, RabbitMQ) GraphQL: schema design, API development, query optimization, and integrations DevSecOps practices and tools ElasticSearch and OpenSearch .NET, C#, Javascript, and Java More ❯

and tuning as well as Security Orchestration Automation and Response (SOAR) development and implementation. Responsibilities: • Design, deploy, configure, and maintain Elastic stack and Confluent deployments • Manage, patch, and upgrade Elasticsearch, Confluent, and other related systems • Tune and optimize Elastic stack deployments based on application/customer needs • Design and configure ETL data pipelines to ingest customer defined data sets More ❯