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Vetted Splunk Professionals
Pre-screened and vetted.
Junior Full-Stack Software Engineer specializing in web platforms and APIs
Mid-level Software Engineer specializing in cloud-native full-stack and AI applications
Mid-Level Software Engineer specializing in Java microservices and cloud-native full-stack systems
Director-level Operations Leader transitioning to Cybersecurity Analysis
Mid-level Full-Stack Java Developer specializing in microservices and cloud platforms
Senior Full-Stack Engineer specializing in cloud-native microservices and FinTech systems
Senior DevSecOps Engineer specializing in application security and secure CI/CD
Senior Backend Engineer specializing in Python, APIs, and cloud microservices
Mid-Level Software Developer specializing in backend microservices and cloud-native systems
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Principal DevOps Engineer specializing in multi-cloud SRE and healthcare compliance
Senior Full-Stack Java Engineer specializing in cloud-native microservices and GenAI
Junior Full-Stack Developer specializing in Java/Spring Boot and React for FinTech
Senior Unix/Linux Systems Administrator specializing in Linux, AIX/Solaris, and HA clusters
Mid-level Full-Stack Developer specializing in cloud-native microservices (FinTech & Healthcare)
Senior AWS DevOps Engineer specializing in cloud infrastructure and CI/CD automation
Intern Security Engineer specializing in AppSec, Cloud Security, and Purple Team detection
Senior Full-Stack Software Engineer specializing in Java/Spring microservices
Senior Full-Stack & AI Engineer specializing in FinTech and Healthcare
Staff/Lead DevOps & Site Reliability Engineer specializing in cloud infrastructure and Kubernetes
Dhairya Gajjar
Mid-Level Software Engineer specializing in Healthcare Data Platforms
“Backend/ML engineer with healthcare domain experience building secure Medicare/Medicaid data APIs and real-time patient risk scoring. Shipped an end-to-end ML pipeline (scikit-learn/XGBoost) served via SageMaker and integrated into Flask APIs, with strong production reliability practices (Kafka schema validation, regression replay, observability, drift monitoring, and human-in-the-loop guardrails).”