Client: Pharma domain
Position: Cribl Engineers.
Location: Remote but preferable if folks could get to Client locations in PA or NJ.
Duration: 6 months
Visa: USC, GC
Pay rate: $65/hr on C2C
Exp level: 13+ years
Job Description:
Looking for contractors to help with the engineering of the rearchitecture in a contract to hire situation.
Here are the requirements.
A minimum of 7 years of hands-on experience in cybersecurity and big data analytics, showcasing expertise in advanced technical aspects of logging and Security Information and Event Management (SIEM) solutions.
Strong proficiency in Big Data Analytics tools such as Elastic, Cribl, Splunk, and Azure Sentinel, coupled with a deep understanding of their technical nuances and practical implementations.
Two years of Cribl specific experience with knowledge in the following areas: Stream, Data parsing and normalization, data extraction techniques to include Regex extraction functions, routes, pipelines, creating and customizing Cribl packs. Cribl certification and experience with hybrid deployments preferred.
Proven track record managing complex Enterprise Security solutions, including the deployment and management of automation technologies.
Extensive knowledge and experience with both Unix and Windows operating systems, endpoint log collection, syslog-ng and adept at utilizing command line interfaces to perform intricate tasks.
A deep-seated passion for addressing complex technical challenges, consistently striving to exceed expectations.
Experienced in the deployment of infrastructure within VMware, AWS and Azure cloud.
Successfully adapts to a dynamic, rapidly evolving environment, while also capable of working independently.
Relevant experience in IT security systems, large enterprise infrastructure management, and operations.
Proficient in gathering technical requirements and scoping, including the creation of documentation and technical drawings to ensure scope acceptance.
Experienced in SIEM best practices, particularly concerning log analysis, data onboarding, parsers, pipelines, and data lakes; familiarity with Azure Sentinel and Azure Data Explorer (ADX) is required.
Competent in creating configuration, automation, scripting languages and integration scripts using various languages, tools, and standards, including KQL, Python, PowerShell, JavaScript, YAML, REST API, Go, Bash, etc. Recent experience in developing automation scripts and CI/CD workflows.
Experienced in developing engineering (SDLC) documentation and providing coaching and mentoring to facilitate knowledge transfer to internal operations teams.
Strong problem-solving capabilities and proficient in written and verbal communication in English.
North and South America is a requirement for this role.
Working hours in the US Eastern time zone.