22 of 22 Permanent logstash Jobs in London

on experience with Infrastructure as a Code (Terraform/Ansible) Hands-on experience in technical integrations (OpenTelemetry/fluentd/fluentbit/filebeat/logstash) Hands-on experience with complex troubleshooting of Kubernetes and Docker container Good knowledge of RegEx, Lucene, PromQL Good knowledge of Linux Experience in customer facing More ❯

cloud technologies such as AWS (EC2, S3, Lambda, CloudFormation). Experience using Python, Docker containerization, and Git version control. Familiar with Elastic Stack (Elasticsearch, Logstash, Kibana) for monitoring and analysis. Proven experience managing support tickets (JIRA Service Desk) and ensuring SLA adherence. Skills and Attributes: Excellent communication and stakeholder management More ❯

cloud technologies such as AWS (EC2, S3, Lambda, CloudFormation). Experience using Python, Docker containerization, and Git version control. Familiar with Elastic Stack (Elasticsearch, Logstash, Kibana) for monitoring and analysis. Proven experience managing support tickets (JIRA Service Desk) and ensuring SLA adherence. Skills and Attributes: Excellent communication and stakeholder management More ❯

cloud technologies such as AWS (EC2, S3, Lambda, CloudFormation). Experience using Python, Docker containerization, and Git version control. Familiar with Elastic Stack (Elasticsearch, Logstash, Kibana) for monitoring and analysis. Proven experience managing support tickets (JIRA Service Desk) and ensuring SLA adherence. Skills and Attributes: Excellent communication and stakeholder management More ❯

cloud technologies such as AWS (EC2, S3, Lambda, CloudFormation). - Experience using Python, Docker containerization, and Git version control. - Familiar with Elastic Stack (Elasticsearch, Logstash, Kibana) for monitoring and analysis. - Proven experience managing support tickets (JIRA Service Desk) and ensuring SLA adherence. Skills and Attributes: - Excellent communication and stakeholder management More ❯

and private clouds, networking (including service mesh), SAN, debugging Python for build automation, testing, and deployment Observability: Monitoring (Zabbix/Nagios, etc), Logging (graylog, logstash, etc), Metrics(Prometeus), CI/CD Networks (OSI Model, Linux network stack) Nice-to-haves MacOS, Windows С/С++ (basic level, e.g. able to More ❯

and private clouds, networking (including service mesh), SAN, debugging Python for build automation, testing, and deployment Observability: Monitoring (Zabbix/Nagios, etc), Logging (graylog, logstash, etc), Metrics(Prometeus), CI/CD Networks (OSI Model, Linux network stack) Nice-to-haves MacOS, Windows С/С++ (basic level, e.g. able to More ❯

and private clouds, networking (including service mesh), SAN, debugging Python for build automation, testing, and deployment Observability: Monitoring (Zabbix/Nagios, etc), Logging (graylog, logstash, etc), Metrics(Prometeus), CI/CD Networks (OSI Model, Linux network stack) Nice-to-haves MacOS, Windows С/С++ (basic level, e.g. able to More ❯

of 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 … Docker 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 ❯

of 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 … Docker 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 ❯

of 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 … Docker 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 ❯

helpful and collaborative approach to support • Experience with Python or another programming language • Strong SQL skills Preferred: • Experience deploying monitoring tools such as Kibana, Logstash or equivalent, and integrating them with existing systems. • Experience with the Atlassian stack (JIRA/Confluence) • Experience using and maintaining AWS based infrastructure and applications More ❯

helpful and collaborative approach to support • Experience with Python or another programming language • Strong SQL skills Preferred: • Experience deploying monitoring tools such as Kibana, Logstash or equivalent, and integrating them with existing systems. • Experience with the Atlassian stack (JIRA/Confluence) • Experience using and maintaining AWS based infrastructure and applications More ❯

helpful and collaborative approach to support • Experience with Python or another programming language • Strong SQL skills Preferred: • Experience deploying monitoring tools such as Kibana, Logstash or equivalent, and integrating them with existing systems. • Experience with the Atlassian stack (JIRA/Confluence) • Experience using and maintaining AWS based infrastructure and applications More ❯

someone who thrives in fast-paced environments and enjoys working with diverse teams. Role & Responsibilities: Deliver and maintain solutions using the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) Provide ongoing support for internal tooling and monitoring systems Collaborate with development teams to ensure data feeds are accurate and efficient Mentor junior … activities, including documentation and knowledge sharing Build strong working relationships across technology and business teams Requirements: Expert-level experience with the Elastic Stack, including Logstash, Kibana, Watcher, REST endpoints, and painless scripting Strong experience working with both operational and business data Proven track record with real-time data systems Solid More ❯

someone who thrives in fast-paced environments and enjoys working with diverse teams. Role & Responsibilities: Deliver and maintain solutions using the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) Provide ongoing support for internal tooling and monitoring systems Collaborate with development teams to ensure data feeds are accurate and efficient Mentor junior … activities, including documentation and knowledge sharing Build strong working relationships across technology and business teams Requirements: Expert-level experience with the Elastic Stack, including Logstash, Kibana, Watcher, REST endpoints, and painless scripting Strong experience working with both operational and business data Proven track record with real-time data systems Solid More ❯

with extensive Elastic stack experience, as well as a strong understanding of index lifecycle management (ILM). What else is needed.... Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) Experience managing & integrating ELK infrastructure Index lifecycle management (ILM) IP networking and data flow Data pipeline creation, performance tuning of Logstash and Beats More ❯

with extensive Elastic stack experience, as well as a strong understanding of index lifecycle management (ILM). What else is needed.... Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) Experience managing & integrating ELK infrastructure Index lifecycle management (ILM) IP networking and data flow Data pipeline creation, performance tuning of Logstash and Beats More ❯

with extensive Elastic stack experience, as well as a strong understanding of index lifecycle management (ILM). What else is needed.... Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) Experience managing & integrating ELK infrastructure Index lifecycle management (ILM) IP networking and data flow Data pipeline creation, performance tuning of Logstash and Beats More ❯

to the ENET environment, the dedicated environment used to support electronic trading systems. Required skills & Experience: Expert-level knowledge of the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats), with proven experience in architecting, deploying, and managing ELK infrastructure across distributed, high-performance environments. Strong understanding of index lifecycle management (ILM), shard … capture/analysis tools to enhance observability of real-time systems. Hands-on expertise in data pipeline creation, ingestion strategies, and performance tuning of Logstash and Beats for scalable telemetry. Knowledge of Corvil and/or Pico tools is highly beneficial but not essential, particularly for ingesting network telemetry into More ❯

to the ENET environment, the dedicated environment used to support electronic trading systems. Required skills & Experience: Expert-level knowledge of the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats), with proven experience in architecting, deploying, and managing ELK infrastructure across distributed, high-performance environments. Strong understanding of index lifecycle management (ILM), shard … capture/analysis tools to enhance observability of real-time systems. Hands-on expertise in data pipeline creation, ingestion strategies, and performance tuning of Logstash and Beats for scalable telemetry. Knowledge of Corvil and/or Pico tools is highly beneficial but not essential, particularly for ingesting network telemetry into More ❯

to the ENET environment, the dedicated environment used to support electronic trading systems. Required skills & Experience: Expert-level knowledge of the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats), with proven experience in architecting, deploying, and managing ELK infrastructure across distributed, high-performance environments. Strong understanding of index lifecycle management (ILM), shard … capture/analysis tools to enhance observability of real-time systems. Hands-on expertise in data pipeline creation, ingestion strategies, and performance tuning of Logstash and Beats for scalable telemetry. Knowledge of Corvil and/or Pico tools is highly beneficial but not essential, particularly for ingesting network telemetry into More ❯