Key skills
SplunkPythonSIEMLog managementData onboardingObservability engineeringMonitoring practicesCloud-native developmentSystems engineeringAutomationTroubleshootingPlatform integrationAI/ML-driven analyticsCloud platformsAIMLAnalyticsCollaboration
About this role
Deloitte is a subsidiary of Deloitte LLP, and they are seeking a Splunk Engineer Contractor to provide hands-on technical support in the design, development, implementation, and optimization of enterprise observability and security engineering solutions. The role requires advanced experience in Splunk Cloud, SIEM, log management, and Python-based automation, focusing on optimizing data for various operational use cases.
Responsibilities:
- Design and develop technical solutions for engineering and observability requirements
- Implement and support Splunk Cloud solutions, including SIEM, log management, and data onboarding
- Ingest, normalize, validate, and optimize data sources in Splunk for security, IT operations, and compliance use cases
- Develop Python-based scripts and automation solutions for monitoring, data processing, and operational efficiency
- Perform system integration, testing, and validation to ensure performance, reliability, and scalability
- Troubleshoot and resolve technical issues affecting platform functionality and data flows
- Collaborate with cross-functional teams to gather requirements and provide technical input
- Support observability capabilities across logs, metrics, events, and traces
- Apply cloud platform and AI/ML-driven analytics capabilities to improve monitoring and operational insight
- Document technical specifications, procedures, and support processes
Requirements:
- Advanced experience in Splunk with 6–9 years of hands-on engineering, administration, and platform support experience
- Advanced experience in Python with 6–9 years of hands-on scripting, automation, and development experience
- Experience with SIEM, log management, and data onboarding
- Knowledge of observability engineering and monitoring practices
- Background in cloud-native development and systems engineering
- Experience with automation, troubleshooting, and platform integration
- Familiarity with AI/ML-driven analytics and modern cloud platforms
- Strong collaboration and technical documentation skills
- Candidates interested in applying for this opportunity must be geographically based in the United States and must be legally authorized to work in the United States without the need for employer sponsorship