.png){kind=logo}
Vetted Elastic Stack (ELK) Professionals
Pre-screened and vetted.
Mid-level Data Engineer specializing in cloud data pipelines and streaming analytics
Senior Full-Stack Software Engineer specializing in React and scalable web applications
Mid-level Software Engineer specializing in FinTech and scalable backend systems
Senior .NET Full-Stack Developer specializing in cloud-native microservices
Executive Engineering Leader specializing in Product, Mobile, and SaaS platforms
Vijay Kumar
Mid-level Cloud/DevOps Engineer specializing in AWS automation and CI/CD
“AWS Cloud DevOps Engineer focused on production Linux environments, building secure CI/CD pipelines (Jenkins/GitHub) to deploy Dockerized services to AWS ECS and automating infrastructure with Terraform/CloudFormation. Strong in operational troubleshooting and scaling (CloudWatch-driven performance remediation, Auto Scaling/ELB, multi-AZ HA patterns), but explicitly does not have IBM Power/AIX or PowerHA/HACMP experience.”
Michael Erfman
Senior Software Engineer specializing in enterprise platforms and data engineering
“Backend/data platform engineer who owned an enterprise Django REST + PostgreSQL reporting backend and built Python ETL pipelines to normalize 3M+ legacy customer records, improving data reliability by 85%. Strong Kubernetes/GitOps practitioner (Helm, ArgoCD, Jenkins/GitHub Actions) with real-world production debugging experience, plus Kafka streaming at 5M events/day and a zero-downtime monolith-to-event-driven microservices migration on AWS that cut infra costs by 42%.”
Gowtham Kota
Mid-Level Full-Stack Software Engineer specializing in React, Java/Spring Boot, and AWS
“Full-stack product engineer who has shipped customer-facing features end-to-end, including a product detail page backed by Java/Spring Boot microservices and a React/TypeScript UI. Demonstrated measurable impact through performance and maintainability improvements (30% faster APIs, 25% less duplicated UI code, 40% reduced API complexity via GraphQL) and has operated/scaled apps on AWS with CI/CD, monitoring, and incident-driven scaling fixes.”
Mid-level Full-Stack Java Developer specializing in cloud-native microservices and React
Mid-level Software Engineer specializing in cloud, DevOps, and distributed systems
Mid-level Data Scientist specializing in ML, data engineering, and real-time analytics
Senior DevSecOps/Cloud Engineer specializing in CI/CD and Infrastructure as Code
Mid-Level Software Development Engineer specializing in backend microservices and cloud-native IoT
Mid-level Full-Stack Developer specializing in Java/Spring Boot, React/Angular, and cloud microservices
Senior Backend Software Engineer specializing in Java microservices and cloud platforms
Mid-level AI/ML Engineer specializing in cloud-native data pipelines and RAG systems
Mid-Level Software Developer specializing in cloud-native microservices and FinTech
Mid-Level Software Engineer specializing in cloud-native microservices and distributed systems
Mid-level Software Engineer specializing in AI and cloud-native data platforms