Load Balancers, CloudWatch) and the equivalent with Azure and GCP Background knowledge and hands-on practice in Observability, specifically experience working with one or more of the following tools - Kibana, Open-Search, Grafana, Datadog, Sumologic, NewRelic, AppDynamics, Dynatrace, Prometheus, Logz.io, SignalFX, Instana, Splunk, Honeycomb, Jaeger Hands-on experience with Infrastructure as a Code (Terraform/Ansible) Hands-on experience More ❯
At IBM CIC, we deliver deep technical and industry expertise to a wide range of public and private sector clients in the UK. A career in IBM CIC means you'll have the opportunity to work with visionaries across multiple More ❯
with data science teams to deploy and support ML models and ETL pipelines. Maintain documentation, promote knowledge sharing, and drive continuous improvements. Skills & Experience Required Elastic Stack (Elasticsearch, Logstash, Kibana, Beats): Advanced-level knowledge. Strong experience with data ingestion , index management , and real-time observability . Experience with Solace , 29West , Tibco , or similar messaging platforms is a plus. Working More ❯
App Centre, Service Bus Explorer, SSMS and agile software development process/practices and other productivity tools AI-driven development/LLM/Azure Document Intelligence Elastic Search/Kibana/ELK Stack Azure DevOps YAML, Terraform More ❯
or similar ; • Experience in server technologies, specifically AWS; • Experience in Docker applications will be a plus; • Familiarity with open-source software a plus; • Familiarity with JIRA, Jenkins, Elasticsearch, Grafana, Kibana is a plus; • Experience in Kubernetes will be a plus; Additional Information • Communication is extremely important; our engineers work across every team in the organization. Candidates need to be More ❯
in basic linux commands Experience in any code/scripting languages Proficient in SQL Database queries and relational database concepts Familiar with log traversal tools such as Sumologic or Kibana, or via linux command line. Good knowledge in formal and practical production support model Experience with ITSM platforms like Jira, ServiceNow, etc. Excellent problem solving skill with a keen More ❯
in building and scaling observability platforms in a cloud-native environment. Observability Expertise: Deep understanding of observability pillars (metrics, logs, traces) and related tools (e.g., Prometheus, Grafana, OpenTelemetry, Jaeger, KibanaElastic Stack). AI/ML Proficiency: Hands-on experience integrating ML/AI models into observability systems to drive advanced insights, anomaly detection, and predictive analysis. Distributed Systems More ❯
technical direction and innovation, encouraging collaboration and excellence. Client-Side: Typescript, Next.js, React and various React ecosystem tools and libraries Infrastructure: AWS, Kubernetes, Terraform, Kafka, DynamoDB, PostgreSQL, Redis, ElasticSearch, Kibana, Grafana, and Prometheus. However, you should be comfortable using a variety of frameworks, languages, and tools and be happy to learn new skills when the need arises. Who we More ❯
technical direction and innovation, encouraging collaboration and excellence. Client-Side: Typescript, Next.js, React and various React ecosystem tools and libraries Infrastructure: AWS, Kubernetes, Terraform, Kafka, DynamoDB, PostgreSQL, Redis, ElasticSearch, Kibana, Grafana, and Prometheus. However, you should be comfortable using a variety of frameworks, languages, and tools and be happy to learn new skills when the need arises. Who we More ❯
Job Title: Elastic Engineer Location: London (Hybrid - 2 to 3 days onsite per week) Contract Duration: 6 Months Experience Required: Minimum 8 years with ELK Stack (Elasticsearch, Logstash, Kibana) Job Description: We are seeking a highly experienced Elastic Engineer to join our team on a 6-month contract basis. The ideal candidate will have extensive hands-on experience building … ground up-not just monitoring existing systems. Key Responsibilities: Design, build, and implement data ingestion pipelines using Logstash and Kafka Set up and configure the ELK Stack (Elasticsearch, Logstash, Kibana), including Fleet and Integrations Collaborate with stakeholders to analyze data and extract meaningful insights Ensure performance, availability, and reliability of the ELK environment Maintain and support the ELK stack … integrations Apply domain knowledge in security and cloud environments to enhance data pipeline resilience and compliance Mandatory Skills & Qualifications: 8+ years of hands-on experience with Elasticsearch , Logstash , and Kibana Proven track record of implementing and maintaining ELK stacks Experience designing and developing data pipelines Strong exposure to cloud platforms (e.g., AWS, Azure, GCP) Proficiency with Kafka for data More ❯
experience (preferably in a commercial environment) Clojure or similar languages (e.g. Java or Python) Software collaboration and revision control (e.g. Git or SVN) Desired skills and experiences: ElasticSearch/Kibana Cloud computing (e.g. AWS) Hadoop/Spark etc. Graph Databases Educational level: Master Degree Tagged as: Clustering , Data Mining , Industry , Information Retrieval , Master Degree , Sentiment Analysis , United Kingdom More ❯
Maintain customer satisfaction by engaging appropriate stakeholders, removing roadblocks and advocating internally to drive product initiatives Hands-on technical troubleshooting experience via logs Experience with tools like Grafana, Splunk, Kibana, Quicksight, etc With hands-on experience with web APIs, you understand web architecture and how data passes between systems Experience using Postman/Testfully/APIDog/Postcode/ More ❯
experience in a technical support or support engineering role. - Experience working with AWS (e.g. EC2, EBS, S3, Route53)Experience working with SQL. - Experience working with observability platforms (e.g. Grafana, Kibana) for monitoring, troubleshooting, and diagnostic. - Experience working with monitoring and alerting systems (e.g. CloudWatch, Prometheus). Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians More ❯
years) in aTechnical Support Managementor similar client-facing role. Strong technical acumen with a deep understanding of HRtechnology solutions, integrations, andSaaSplatforms. Strong understanding ofrelational databases, nonrelational databases(MongoDB),HTML,Kibana,AWS. Deep understanding ofJavabased application,SaaSsoftware and administration, includingtroubleshootingexperience with Web based applications. Exceptional interpersonal and communication skills, with the ability to convey complex technical information to non-technical More ❯
using network protocols (TCP/IP, OSI) Enable machine learning and AI workflows through tools like Jupyter, SpaCy, Transformers, and NLTK. Implement and support BI tools (Tableau, Power BI, Kibana) to drive actionable insights from complex data sets. If you are interested in this Big Data Engineer role and would like to learn more about it or other Data More ❯
