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 ❯
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 ❯
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 and … implementing ELK solutions from the 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 … and its 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 More ❯
and process improvements. Automation/Scripting: Develop scripts in Python, Shell, SQL, etc., for administration, monitoring, and support tools. Skills Must have Expert knowledge of the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats), including deployment and management in distributed environments. Proficiency with DevOps tools (Jenkins, Docker, Kubernetes) and infrastructure as code. Understanding of index lifecycle management, shard optimization, and cluster health … monitoring. Knowledge of IP networking and data flow in distributed systems. Experience integrating ELK with packet capture/analysis tools. Hands-on experience creating data pipelines and tuning Logstash and Beats. Scripting skills in Python and/or PowerShell for automation. Experience with APIs (REST/JSON/XML) and integrating third-party data sources. Understanding of trading infrastructure and More ❯
based office in a hybrid work model. Primary Responsibilities of the Senior Security Software Engineer: Design & develop log solutions technologies with a key focus on Google SecOps, BindPlane, Beats, LogStash and Kafka Build, design and develop new Log Collection systems for on-prem and cloud environments, AWS, Azure & GCP Build and support pipeline monitoring and alerting tools like GCP Monitoring … equivalent experience Proven experience working within log collection setup and development Proven experience with RHEL Linux Server OS Experience working with Google SecOps basic search queries Experience with BindPlane, LogStash, Kafka, and GitHub Operations Proficiency in Scripting/Programming with Python and Go Preferred Qualifications: Proven ability to work on high and low-level designing Experience with Cloud Solution designs More ❯