51 to 75 of 170 Elasticsearch Jobs

ready to grow, we want to hear from you. JavaScript/TypeScript (Node.js, React) or Python Distributed systems and event streaming (Kafka, Kubernetes) Databases and search indexes (MongoDB, Redis, Elasticsearch) Modern DevOps practices and CI/CD pipelines Benefits and why you'll love it here Competitive salary DOE 25 days annual leave, rising to 30 days after More ❯

extensive commercial experience developing and maintaining SaaS web applications . A full-stack technical skillset including TypeScript, React, Node.js, HTML, CSS, SQL and AWS at a minimum , with Neo4j, Elasticsearch, GraphQL and Terraform being nice-to-haves. A pragmatic problem-solver, able to design, implement, test and document sensible solutions to complex problems. Strong communication skills , with the ability More ❯

products are developed using TypeScript and React We implement GraphQL and RESTful APIs using NodeJS and NestJS Our backend services are implemented in C# and Python Redshift, DynamoDB, Postgres, Elasticsearch, and S3 are our go to data stores Snowflake is a key component of our data platform Equal Opportunities We are an equal opportunities employer. This means we are 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 ❯

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 ❯

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 ❯

tests, CI/CD & iteratively delivering value. Knowledge of security, privacy, and compliance best practices for multi-tenant SaaS and AI workloads. Familiarity with Vector databases, ideally Opensearch/Elasticsearch Familiarity with GraphRag or experience building knowledge graphs Familiarity with the latest Generative AI developments such as LLM architectures, fine-tuning strategies, Agentic workflows Experience in observability tooling for More ❯

or a related field. ● Minimum of 5 years of software engineering experience, with a strong focus on Go (Golang). ● Hands-on experience with one of these tools: Cassandra, Elasticsearch or Cockroach DB. ● Proficiency in cloud platforms (AWS, GCP, or Azure) and container orchestration tools such as Kubernetes. ● Solid understanding of distributed systems and microservices architecture. ● Excellent problem-solving More ❯

or a related field. ● Minimum of 5 years of software engineering experience, with a strong focus on Go (Golang). ● Hands-on experience with one of these tools: Cassandra, Elasticsearch or Cockroach DB. ● Proficiency in cloud platforms (AWS, GCP, or Azure) and container orchestration tools such as Kubernetes. ● Solid understanding of distributed systems and microservices architecture. ● Excellent problem-solving More ❯

or a related field. ● Minimum of 5 years of software engineering experience, with a strong focus on Go (Golang). ● Hands-on experience with one of these tools: Cassandra, Elasticsearch or Cockroach DB. ● Proficiency in cloud platforms (AWS, GCP, or Azure) and container orchestration tools such as Kubernetes. ● Solid understanding of distributed systems and microservices architecture. ● Excellent problem-solving More ❯

or a related field. ● Minimum of 5 years of software engineering experience, with a strong focus on Go (Golang). ● Hands-on experience with one of these tools: Cassandra, Elasticsearch or Cockroach DB. ● Proficiency in cloud platforms (AWS, GCP, or Azure) and container orchestration tools such as Kubernetes. ● Solid understanding of distributed systems and microservices architecture. ● Excellent problem-solving More ❯

generation (RAG), and AI agents) Build and maintain APIs, data pipelines, and backend components (primarily Python, FastAPI, or Flask) Engineer robust, containerised architectures using Docker and Kubernetes Work with ElasticSearch, Weaviate, Pinecone, and other vector databases Help deliver high-availability, fault-tolerant systems for mission-critical workloads What Were Looking For Degree in Computer Science, AI, or related field More ❯

systems in relation to GDPR ? Solid knowledge of HTTP and APIs Essential Experience includes: ? Implementation and management of a Graph database ? Installing and maintaining a search and analytics engine (Elasticsearch/OpenSearch) ? Developing SPARQL and API queries ? Familiarity with Windows and Linux operating systems as well as software development and deployment tools, eg, Docker, Git ? Experience working with taxonomies More ❯

supporting modern software architectural principles and patterns. (REST, domain-driven design, microservices, serverless architecture, etc) 5+ years hands on experience with distributed cloud systems tech. (node.js, EC2, Lambda, DynamoDB, Elasticsearch, or Google Cloud/Azure equivalents) Experience with front-end web application tech. (javascript, CSS, html5, Vue, React/redux) Experience working with design systems. (Shadcn, Material UI or More ❯

years of additional software engineering experience may be substituted for a bachelor's degree. Required: • Very experienced Java developer. • Experienced with Docker. • Comfortable with both Windows and Linux. • Elasticsearch\\Kibana (ELK Stack) familiarity. • Niagara Files familiarity. • RabbitMQ familiarity. • Some Web Interface experience. React Javascript framework preferably. Clearance Level: TS/SCI w/Poly SP Other Important Information You More ❯

managing the product withing Relevant experience with the below technologies are recommended: • CI/CD: Vela or similar service (drone, chef, etc.) • Storage and Caching: Postgres, Cassandra, Redis, and Elasticsearch • Languages: Java, Groovy, Kotlin, Javascript and Python • Frameworks: Spring Boot, Camel and Praxis • Data Movement: Kafka, Benthos • Metrics Visualization: Grafanna About you: • 4 year degree or equivalent experience • 5+ More ❯

control, agile methodologies) Familiarity with infrastructure automation and configuration management tools (Chef, Puppet, or Ansible) Exposure to distributed storage systems and related protocols Experience with observability and monitoring tools (Elasticsearch, Logstash, Kibana, Datadog, Prometheus, Grafana) Strong written and verbal communication skills Demonstrated ability to learn quickly and adapt to evolving technologies Ability to work effectively in a fast-paced More ❯

control, agile methodologies) Familiarity with infrastructure automation and configuration management tools (Chef, Puppet, or Ansible) Exposure to distributed storage systems and related protocols Experience with observability and monitoring tools (Elasticsearch, Logstash, Kibana, Datadog, Prometheus, Grafana) Strong written and verbal communication skills Demonstrated ability to learn quickly and adapt to evolving technologies Ability to work effectively in a fast-paced More ❯

control, agile methodologies) Familiarity with infrastructure automation and configuration management tools (Chef, Puppet, or Ansible) Exposure to distributed storage systems and related protocols Experience with observability and monitoring tools (Elasticsearch, Logstash, Kibana, Datadog, Prometheus, Grafana) Strong written and verbal communication skills Demonstrated ability to learn quickly and adapt to evolving technologies Ability to work effectively in a fast-paced More ❯

control, agile methodologies) Familiarity with infrastructure automation and configuration management tools (Chef, Puppet, or Ansible) Exposure to distributed storage systems and related protocols Experience with observability and monitoring tools (Elasticsearch, Logstash, Kibana, Datadog, Prometheus, Grafana) Strong written and verbal communication skills Demonstrated ability to learn quickly and adapt to evolving technologies Ability to work effectively in a fast-paced More ❯

control, agile methodologies) Familiarity with infrastructure automation and configuration management tools (Chef, Puppet, or Ansible) Exposure to distributed storage systems and related protocols Experience with observability and monitoring tools (Elasticsearch, Logstash, Kibana, Datadog, Prometheus, Grafana) Strong written and verbal communication skills Demonstrated ability to learn quickly and adapt to evolving technologies Ability to work effectively in a fast-paced More ❯

Athena). Skilled in Airflow for workflow orchestration. Advanced SQL and proficient in Python for data engineering. Experience with data modelling (e.g. dimensional) and familiarity with NoSQL databases (e.g. Elasticsearch). Confident using Git and CI/CD pipelines. Solid understanding of data governance, quality assurance, and security principles. Practical problem-solver with a focus on scalable, efficient solutions. More ❯

like React, Angular, or Vue.js. Experience with cloud architecture, modern DevOps, infrastructure as code, CI/CD and related tools. Experience with AWS products including Lambda, Step Functions, DynamoDB, Elasticsearch, s3 Modern testing methodologies and frameworks such as Mocha, Jasmine and Jest Strong understanding of architectural design patterns and computer-science fundamentals Experience with implementing and integrating AI, Machine More ❯

like React, Angular, or Vue.js. Experience with cloud architecture, modern DevOps, infrastructure as code, CI/CD and related tools. Experience with AWS products including Lambda, Step Functions, DynamoDB, Elasticsearch, s3 Modern testing methodologies and frameworks such as Mocha, Jasmine and Jest Strong understanding of architectural design patterns and computer-science fundamentals Experience with implementing and integrating AI, Machine More ❯

REST, domain-driven design, microservices, etc). Experience with cloud architecture, infrastructure as code, CI/CD and related tools. Experience with AWS platform including Lambda, Step Functions, DynamoDB, Elasticsearch, s3. Experience with implementing and integrating AI, Machine Learning and related data solutions preferred. Strong understanding of architectural design patterns and computer-science fundamentals. Must have knowledge and/ More ❯