Systems Development Engineer
• Developed and set up between 30 to 50 Splunk configurations on AWS CDK using Python with internal pipelines (AWS Code Pipeline) saving 20-50 hours instead of manual intervention. • Reviewed code for 50 high-visibility customers deploying new applications into Splunk SOAR environment using CI/CD procedures utilizing the Amazon Code Pipeline with integrated AWS CDK (Python) and custom Cloud Formation YAML. • Analyzed Kubernetes scheduling, pod, and resource issues using K9s; interface with customers to gauge data needs, created clusters, then released into production and beta environments. • Utilized AWS Cloudformation, S3, and pipelines for CI/CD-compliant infrastructure deployments and use AWS Lambdas to resolve faulty application behavior using Cloud Watch associated with Splunk Soar and over 100 customers. • Created and unified AWS Snowflake container code to create data lake Splunk audit log export and ingestion mechanism affecting over 500 customers. • Developed critical customer relationships among at least 10 different teams, ensuring a 30% increase in customer response time and deployments.