26 to 50 of 72 logstash Jobs in England

DV Clearance , Key Responsibilities: Design, develop, 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 troubleshoot real-time data pipelines … technical and operational requirements Essential Skills 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 of cloud platforms (AWS, Azure More ❯

DV Clearance , Key Responsibilities: Design, develop, 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 troubleshoot real-time data pipelines … technical and operational requirements Essential Skills 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 of cloud platforms (AWS, Azure More ❯

DV Clearance , Key Responsibilities: Design, develop, 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 troubleshoot real-time data pipelines … technical and operational requirements Essential Skills 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 of cloud platforms (AWS, Azure More ❯

DV Clearance , Key Responsibilities: Design, develop, 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 troubleshoot real-time data pipelines … technical and operational requirements Essential Skills 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 Working knowledge of cloud platforms (AWS, Azure, or GCP), particularly in secure deployments Experience using More ❯

using Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation. Monitoring & Logging Tools Experience with monitoring and logging tools such as AWS CloudWatch, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana). Benefits Join a rapidly expanding start-up where personal growth is a part of our DNA. Benefit from a flexible work environment focused on deliverable outcomes. Receive private More ❯

others. Implement load balancing and CDN 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 by auto-scaling resources based More ❯

others. Implement load balancing and CDN 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 by auto-scaling resources based More ❯

others. Implement load balancing and CDN 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 by auto-scaling resources based More ❯

others. Implement load balancing and CDN 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 by auto-scaling resources based More ❯

with other database platforms ClickHouse, FoundationDb, MSSQL, MongoDb, Redis, Neo4j. Experience with configuration management tools i.e. Chef, Terraform, Ansible. Experience with an observability & monitoring stack such as Prometheus exporters, LogStash, Elasticsearch, Prometheus, Thanos, Grafana, and AlertManager. Experience with CI/CD pipelines. Experience working with various cloud providers (AWS and GCP). Experience with virtualization technologies such as VMware and More ❯

Frontend Frameworks: Vue.js Scripting & Automation: Bash, Ansible DevOps & CI/CD: Jenkins, GitLab CI/CD, Terraform Cloud & Infrastructure: AWS Testing & Quality: Cucumber, SonarQube Monitoring & Logging: ELK Stack (Elasticsearch, Logstash, Kibana), Grafana Dataflow & Integration: Apache NiFi Experience across multiple areas is desirable; we don't expect you to know everything but a willingness to learn and contribute across the stack More ❯

code (IaC) tools such as Terraform or CloudFormation. What makes you stand out? Experience with monitoring tools like Prometheus, Grafana, or Datadog. Knowledge of centralized logging systems like Fluentd, Logstash, or Loki. Experience with CI/CD pipelines using Jenkins, GitLab, or similar tools, and scripting languages such as Bash, Python, or Go. Why join our team: We help you More ❯

Automation: Proficiency in Python, and bash shell for automation. •Problem-Solving: Strong troubleshooting skills for diagnosing monitoring and performance issues. Additional Skills: • Knowledge of Prometheus, Grafana, or ELK (Elasticsearch, Logstash, Kibana). • Experience with Kafka and Kubernetes. #J-18808-Ljbffr More ❯

Rule Development: Ability to create, test, and optimise detection rules to identify suspicious activities and potential threats based on the MITRE ATT&CK Framework Performance Tuning with Elasticsearch and Logstash: Fine-tune query performance using Elasticsearch indices and mappings. Monitor Logstash pipelines and optimize resource utilization. Kibana Visualization and Monitoring: Leverage Kibana for data visualization, dashboards, and real-time monitoring. … Create custom visualizations to track data quality metrics and system performance. Elastic integration Integration of the SIEM with critical systems to provide alerting, monitoring, data enrichment. ETL Processes with Logstash: Design, develop, and maintain data pipelines using Logstash, part of the Elastic Stack. Automate data ingestion, transformation, and loading tasks. Beats for Data Collection: Agent and Agent Policy Management: Proficiency More ❯

software issues efficiently. Understanding of Linux, SQL, and cloud technologies such as AWS (EC2, S3, Lambda, CloudFormation). Experience with Python, Docker, and Git. Familiarity with Elastic Stack (Elasticsearch, Logstash, Kibana) for monitoring and analysis. Managing support tickets using JIRA Service Desk and ensuring SLA compliance. Skills and Attributes Excellent communication and stakeholder management skills with a client-focused approach. More ❯

performance monitoring and optimisation strategies to improve page load times, identify, diagnose and resolve issues and enhance customer experience. Enhancing system observability through logging, monitoring, and alerting (Elastic Search, Logstash, Kibana, New Relic, PRTG, ScienceLogic etc). Implementing and managing caching solutions, including Squid Cache, to optimise performance and reduce latency. Collaborating with software architects, engineers QA teams and digital More ❯

the work you must hold or 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 compliance with security policies and … security protocols to ensure smooth operational 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 containerization and orchestration tools such More ❯

the work you must hold or 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 compliance with security policies and … security protocols to ensure smooth operational 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 containerization and orchestration tools such More ❯

the work you must hold or 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 compliance with security policies and … security protocols to ensure smooth operational 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 containerization and orchestration tools such More ❯

the work you must hold or 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 compliance with security policies and … security protocols to ensure smooth operational 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 containerization and orchestration tools such More ❯

the work you must hold or 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 compliance with security policies and … security protocols to ensure smooth operational 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 containerization and orchestration tools such More ❯

machine learning and operations research. Knowledge of SQL and Python; Python ML frameworks familiarity is a plus; familiarity with Java is a big plus. Experience using ELK Stack (Elasticsearch, Logstash, Kibana). Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop). Experience with AI/ML-based solutions for data analysis is a big plus. Analytical More ❯

Company Description Dynatrace exists to make the world’s software work perfectly. Our unified software intelligence platform combines broad and deep observability and continuous runtime application security with the most advanced AIOps to provide answers and intelligent automation from data More ❯

Your role at Dynatrace What's the role? As a Dynatrace Log Management and Analytics - Solutions Engineer, you will be a key member of the Dynatrace sales engine and will be responsible for providing excellent technical support to the sales More ❯

Science or related fields Willingness to travel up to 4 times a year Additional skills that you might also bring Experience in: Managing search and analytics engines like Elasticsearch, Logstash, Kibana, OpenSearch Linux systems administration and operations Public or private cloud solutions like OpenStack Operating Kubernetes clusters for persistent data services What we offer you Compensation depends on location, experience More ❯