12 of 12 Kibana Jobs in Devon

Azure) and Container Orchestration (e.g., Kubernetes, Docker). Proficiency in Monitoring and Logging Tools: Datadog, Splunk, Dynatrace, AppDynamics, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Cloude Watch, Gremlin, Thousand Eyes. Terraform, Jenkins, GitLab CI, PostgreSQL, Redis, Kong API. Infrastructure skills, Networking and Security Skills, AWS (Atlas), ECS Based internal More ❯

Azure) and Container Orchestration (e.g., Kubernetes, Docker). Proficiency in Monitoring and Logging Tools: Datadog, Splunk, Dynatrace, AppDynamics, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Cloude Watch, Gremlin, Thousand Eyes. Terraform, Jenkins, GitLab CI, PostgreSQL, Redis, Kong API. Infrastructure skills, Networking and Security Skills, AWS (Atlas), ECS Based internal More ❯

in cloud environments. Experience with both server-based and serverless architectures. Desirable Experience with observability and log aggregation tools (e.g., Kafka, Logstash, Splunk, Elastic, Kibana). Advanced AWS certifications (e.g., Solutions Architect Pro, DevOps Engineer Pro). Experience leading cloud migrations from on-prem or between cloud platforms. Certifications More ❯

in cloud environments. Experience with both server-based and serverless architectures. Desirable Experience with observability and log aggregation tools (e.g., Kafka, Logstash, Splunk, Elastic, Kibana). Advanced AWS certifications (e.g., Solutions Architect Pro, DevOps Engineer Pro). Experience leading cloud migrations from on-prem or between cloud platforms. Certifications More ❯

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 & Stewardship: Implement … 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 practices. Preferred More ❯

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 & Stewardship: Implement … 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 practices. Preferred More ❯

and manage complex, large-scale data pipelines in secure or regulated environments Ingest, process, index, and visualise data using the Elastic Stack (Elasticsearch, Logstash, Kibana) Build and maintain robust data flows with Apache NiFi Implement best practices for handling sensitive data, including encryption, anonymisation, and access control Monitor and … and Experience: 3+ years’ experience as a Data Engineer in secure, regulated, or mission-critical environments Proven expertise with the Elastic Stack (Elasticsearch, Logstash, Kibana) Solid experience with Apache NiFi Strong understanding of data security, governance, and compliance requirements Experience building real-time, large-scale data pipelines Working knowledge More ❯

and manage complex, large-scale data pipelines in secure or regulated environments Ingest, process, index, and visualise data using the Elastic Stack (Elasticsearch, Logstash, Kibana) Build and maintain robust data flows with Apache NiFi Implement best practices for handling sensitive data, including encryption, anonymisation, and access control Monitor and … and Experience: 3+ years’ experience as a Data Engineer in secure, regulated, or mission-critical environments Proven expertise with the Elastic Stack (Elasticsearch, Logstash, Kibana) Solid experience with Apache NiFi Strong understanding of data security, governance, and compliance requirements Experience building real-time, large-scale data pipelines Working knowledge More ❯

be eligible to obtain DV level security clearance *** Responsibilities : Design, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. Implement data ingestion, transformation, and integration processes, ensuring data quality and security. Collaborate with data architects and security teams to ensure … analytics and reporting within secure environments. Perform troubleshooting, debugging, and performance tuning of data pipelines and the Elastic Stack. Build dashboards and visualizations in Kibana to enable data-driven decision-making. Ensure high availability and disaster recovery for data systems, implementing appropriate backup and replication strategies. Document data architecture … handover and audit readiness. Experience required: Experience working as a Data Engineer in secure or regulated environments. Expertise in the Elastic Stack (Elasticsearch, Logstash, Kibana) for data ingestion, transformation, indexing, and visualization. Strong experience with Apache NiFi for building and managing complex data flows and integration processes. Familiarity with More ❯

be eligible to obtain DV level security clearance *** Responsibilities : Design, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. Implement data ingestion, transformation, and integration processes, ensuring data quality and security. Collaborate with data architects and security teams to ensure … analytics and reporting within secure environments. Perform troubleshooting, debugging, and performance tuning of data pipelines and the Elastic Stack. Build dashboards and visualizations in Kibana to enable data-driven decision-making. Ensure high availability and disaster recovery for data systems, implementing appropriate backup and replication strategies. Document data architecture … handover and audit readiness. Experience required: Experience working as a Data Engineer in secure or regulated environments. Expertise in the Elastic Stack (Elasticsearch, Logstash, Kibana) for data ingestion, transformation, indexing, and visualization. Strong experience with Apache NiFi for building and managing complex data flows and integration processes. Familiarity with More ❯

PDT). Preferred Qualifications: SAP Certified Development Associate – SAP Commerce Cloud Experience working in Agile/Scrum environments. Knowledge of observability tools like Dynatrace, Kibana, or SAP Cloud Portal. Microsoft Azure cloud infrastructure related certifications. Strong communication and stakeholder management skills. Experience in B2B apparel wholesale or digital platforms … customer and SI partner DevOps teams to investigate platform issues, performance bottlenecks, and environment failures. Evaluate CCv2 logs, monitoring tools (such as Dynatrace and Kibana), and system metrics to investigate and ensure platform stability and performance. Recommend improvements to cloud infrastructure, autoscaling configurations, and performance tuning. Release & Deployment Coordination More ❯

PDT). Preferred Qualifications: SAP Certified Development Associate – SAP Commerce Cloud Experience working in Agile/Scrum environments. Knowledge of observability tools like Dynatrace, Kibana, or SAP Cloud Portal. Microsoft Azure cloud infrastructure related certifications. Strong communication and stakeholder management skills. Experience in B2B apparel wholesale or digital platforms … customer and SI partner DevOps teams to investigate platform issues, performance bottlenecks, and environment failures. Evaluate CCv2 logs, monitoring tools (such as Dynatrace and Kibana), and system metrics to investigate and ensure platform stability and performance. Recommend improvements to cloud infrastructure, autoscaling configurations, and performance tuning. Release & Deployment Coordination More ❯