.png){kind=logo}
Vetted Splunk Professionals
Pre-screened and vetted.
Senior Software Developer specializing in cloud-native microservices and data platforms
Senior QA Engineer specializing in test automation, API testing, and cloud analytics platforms
Mid-Level Software Engineer specializing in cloud backend and GenAI assistants
Senior Software & Data Engineer specializing in cloud platforms and streaming data
Junior Cybersecurity Analyst specializing in SOC monitoring, SIEM detection, and endpoint security
Mid-Level Software Engineer specializing in cloud-native distributed systems
Principal DevOps/SRE Engineer specializing in multi-cloud infrastructure and DevSecOps
Senior DevOps / Cloud / Site Reliability Engineer specializing in AWS and Kubernetes
Senior Full-Stack Engineer specializing in Java microservices and FinTech
Staff Software Engineer specializing in frontend platform architecture
Mid-level Linux DevOps Engineer specializing in automation and cloud infrastructure
Sangeeth Kumar Mohan
Senior Lead Software Engineer specializing in authentication platforms and distributed systems
“Full-stack engineer (T-Mobile experience) focused on authentication/session-management systems, with hands-on work optimizing token-validation flows and reducing latency by eliminating redundant API calls and adding caching. Brings strong production ownership with observability (Splunk/Grafana), Postgres data modeling/index tuning, and resilient async workflow design (idempotency, retries/backoff, queues).”
Daniel Jeong
Junior Full-Stack Engineer specializing in real-time platforms and AI tools
“Early-career full-stack engineer with unusual depth in mission-critical environments: helped build a cybersecurity operations platform from scratch as the third engineer and shipped it to the National Election Commission of South Korea. Also worked on defense-focused situational awareness software, combining React/WebGL frontend performance work with backend data transformation for real-time weather and map overlays.”
Jugal Rayala
Mid-level Full-Stack Developer specializing in AI-powered cloud applications
“Full-stack engineer who has owned customer-facing AI recommendation and analytics dashboards end-to-end (backend APIs/data processing through React UI, deployment, and monitoring). Demonstrates strong systems thinking around scaling microservices—using observability, caching, async workflows, and resilience patterns—and also built an internal ops dashboard that became the default tool for on-call incident reviews.”
Omolara Okubanjo
Senior DevOps/DevSecOps Engineer specializing in AWS & Azure cloud infrastructure
“Infrastructure/DevOps-focused engineer working across Linux-based enterprise platforms that include IBM Power/AIX in a broader OpenShift/Kubernetes and cloud ecosystem. Built Azure DevOps CI/CD for containerized deployments and resolved a production deployment failure by tracing ImagePullBackOff to outdated registry credentials in Kubernetes secrets. Uses Terraform (with modular structure) plus Ansible to provision and standardize production environments with pipeline-based validation.”
Vikas Kathuria
Senior Software Engineer specializing in Cloud, Zero Trust, and Enterprise Platforms
“Zero Trust security product lead focused on UI/API delivery, stability, and customer adoption at enterprise scale, including deployments serving 1200 customers. Stands out for hands-on production debugging across the full stack, customer-facing incident ownership, and a pragmatic approach to turning failures into automated regression coverage.”
mahesh narne
Senior Full-Stack Software Engineer specializing in cloud-native microservices and web apps
“Backend-focused engineer building customer support/order-tracking platforms with Java 17/Spring Boot microservices and a React/TypeScript frontend. Deep experience running event-driven systems on Kubernetes (Kafka, Redis, MySQL) with strong observability (Prometheus/Grafana/Splunk), SLOs, and safe deployment practices (feature flags, canaries). Also built an internal monitoring/debugging dashboard that consolidated metrics and logs for on-call engineers and was adopted by other teams to speed incident response.”