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Deloitte Global is seeking a seasoned Splunk engineer to partner with development and operations teams, delivering automation, data onboarding, and scalable deployments. The role includes leading Splunk projects, documenting architectures, and supporting production environments with strong security and reliability focus.
Ideal candidates have 2+ years in Splunk engineering, hands-on knowledge of Azure/AWS, CIM validation, and experience with large-scale deployments.
Deloitte Global is the engine of the Deloitte network. Our professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our organization.
Partner with development and operations teams to develop practical automation solutions and custom modules.
Co-lead team initiatives to continuously refine our deployment practices for improved reliability, repeatability,and security. Creating plans and collaborating with other GEMS Engineering team members, while coordinating with development and business teams.
Develop requirements for data ingestion methods based on input from stakeholders/leadership.
Clearly document and diagram deployment-specific aspects of architectures and environments, working closely with various teams to create application runbooks, playbooks, and knowledge base documents.
Troubleshoot issues in production and other environments, applying debugging and problem-solving techniques (e.g., log analysis, non-invasive tests).
Suggest deployment patterns & practices improvements based on learnings from past deployments and production issues, collaborate with GEMS Engineering team members to implement these.
After hours on-call support occasionallyrequired.
Deloitte Technology works at the forefront of technology development and processes to support and protect Deloitte around the world. In this truly global environment, we operate not in "what is" but rather "what can be" to help Deloitte deliver and connect with its clients, its communities, and one another in ways not previously conceived.
2+ years Splunk engineering experience
1+ years managing other Splunk engineers or projects
Strong understanding of Cloud Services - Azure, AWS
Strong understanding of Splunk data onboarding including Splunk App/TA configuration and CIM validation
Universal/Heavy Forwarder configuration experience, including encryption and compression settings
Experience working with a strict change control processutilizingtools such as Azure DevOps
Management/deployment experience with large scale/distributed Splunk environments
A solid understanding of Windows and Linux administrationutilizingCommand Line Interface (CLI)
Knowledge of networking, firewalls, loadbalancersetc.
Demonstrate understanding of common enterprise applications (especiallyin the area ofsecurity)
Knowledge of best practices for IT operations in an always-on, always-available service model
Excellent communication skills and the ability to communicate appropriately with/manage technical teams
Excellent influencing and reasoning skills; good at conflict resolution and consensus building
Ability to quickly explore, examine and understand complex problems
Bachelor's degree in Computer Science, Computer Engineering, Finance, Mathematics, Business InformationSystemsor other bachelor's degree combined with relevant experience and accomplishments.
One or more of the following: Splunk Certified Admin, Splunk Certified Architect, Splunk Certified Consultant
Experience withCribladministration and data onboarding
Experience in working in a large global organization
Limited immigration sponsorship may be available.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.