11 of 11 Remote logstash Jobs

an Elastic Consulting Architect, you will be working closely with our customers to provide technical solutions for their business use cases with the Elastic Stack (which includes Elasticsearch, Kibana, Logstash and Beats). You will serve as a trusted technical advisor to our customers and help drive the customer's journey with Elastic by providing technical oversight, ongoing knowledge transfer More ❯

Experience with Docker and Kubernetes Experience with Hadoop Experience with Spark Experience with Accumulo Experience monitoring application performance with metrics (Prometheus, InfluxDB, Grafana) and logs with ELK Stack (ElsticSearch, Logstash, Kibana) Experience with asynchronous messaging systems (RabbitMQ, Apache Kafka, etc.) Location: Columbia Annex, MD (60%+ telework) Salary Range: $115,000 - $200,000.00 (Plus benefits). The pay range for More ❯

and Experience: Experience with Docker and Kubernetes Experience with Virtual Machines Experience with Networking Experience monitoring application performance with metrics (Prometheus, InfluxDB, Grafana) and logs with ELK Stack (ElasticSearch, Logstash, Kibana) Have, or obtain Security+ certification or equivalent DoD 8570 IAT II certification Location Fort Eisenhower, GA (Appx 50% hybrid telework) Salary Range Pay Range $150,000 - $230,000 (Plus More ❯

with Amazon Web Services (AWS) Experience with asynchronous messaging systems (RabbitMQ, Apache Kafka, etc.) Experience monitoring application performance with metrics (Prometheus, InfluxDB, Grafana) and logs with ELK Stack (ElsticSearch, Logstash, Kibana) Excellent communication and collaboration abilities Experience working independently to solve complex problems Salary Range Pay range $165,000 - $225,000. (Plus Benefits) The pay range for this job level More ❯

Kafka, etc.) Experience creating and integrating with remote services via HTTP, Thrift, or gRPC Experience monitoring application performance with metrics (Prometheus, InfluxDB, Grafana) and logs with ELK Stack (ElsticSearch, Logstash, Kibana) Salary Range Pay range $165,000 - $205,000 . (Plus Benefits) The pay range for this job level is a general estimated guideline only and not a guarantee of More ❯

of DevSecOps best practices in cloud-native environments • Hands-on experience with key tools and frameworks, including: o Python, NumPy, Pandas, scikit-learn o TensorFlow or PyTorch o Elasticsearch, Logstash, Kibana • Preferred Experience in GDS (Government Digital Services) or USDS (U.S. Digital Services) Education Requirement • Shall have at a minimum, a bachelor's degree in computer science, Information Technology Management More ❯

closely with security, infrastructure, and development teams. Key Responsibilities: • Design, implement, and maintain scalable and secure Elastic Stack deployments. • Develop ingest pipelines for structured and unstructured data using Beats, Logstash, and Elasticsearch APIs. • Create and manage Kibana dashboards to provide actionable insights to technical and non-technical stakeholders. • Tune and optimize Elasticsearch clusters for performance and availability. • Support SIEM and … . • Active Secret clearance. • Bachelor's degree in Computer Science, Engineering, or a related field; or equivalent experience. • 5+ years of hands-on experience with the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats). • Proficiency in Linux systems administration and scripting (Bash, Python, etc.). • Experience with secure data ingestion and log management in enterprise or federal environments. • Understanding of network More ❯

correctly Perform validation testing of Corelight products Provide ongoing, informal, knowledge transfer Collaborate with product management on product features/integrations Work with back-end tools like Kafka and Logstash Documenting the process for importing of data (MISP, Intel, etc) Developing custom content for threat hunting use cases as defined by the customer Developing playbooks for SOC/IR workflow 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 ❯

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 ❯

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 ❯