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Vetted SonarQube Professionals
Pre-screened and vetted.
Mid-Level Full-Stack Software Developer specializing in Healthcare IT and FinTech
Mid-Level Full-Stack Developer specializing in Java/Spring microservices and modern web UI
Mid-level DevOps/SRE specializing in AWS cloud infrastructure and Kubernetes
Mid-level DevOps Engineer specializing in cloud infrastructure and Kubernetes
Mid-Level Full-Stack Software Engineer specializing in scalable web platforms and APIs
Senior SDET specializing in UI/API automation and performance testing for cloud-native systems
Mid-level Full-Stack Developer specializing in Python and Next.js cloud-native systems
Senior Cloud DevOps & Security Engineer specializing in AWS/Azure, Kubernetes, and compliance
Jelson Chacko
Senior Full-Stack Software Developer specializing in web applications and DevOps
“Frontend engineer who led a networking-device simulation PoC into a production-integrated product, designing microservice-style containerized architecture and optimizing massive telemetry streams with WebSockets and Kubernetes-based scaling. Built a React+TypeScript network orchestration dashboard (Platina Command Center) and drove quality/performance through unit/E2E testing with measurable browser/API performance metrics and CI/CD automation for rapid monthly releases.”
Shrutika Chawla
Senior Full-Stack Developer specializing in React/React Native and SaaS platforms
“Frontend engineer who has led end-to-end delivery of a climate-risk visualization/financial impact web platform using micro-frontends (Webpack Module Federation), a shared MUI design system, and React Query server-state to keep independent modules consistent and performant. Also improved a complex rules-heavy document editor (Crove.app) by eliminating input lag with memoization + Web Workers and introducing a headless rendering engine reused across products, with disciplined rollout via feature flags and Sentry monitoring.”
Mohammed Saalim Kartapillai
Senior Backend/Full-Stack Engineer specializing in data platforms and cloud microservices
“Backend engineer who built and shipped an end-to-end AI outreach product (LazyMails) combining a LinkedIn-scraping Chrome extension with a FastAPI/Postgres backend and Gemini-powered email generation, achieving major personal productivity gains. Also has enterprise experience at TCS on Humana’s 500k+ user wellness platform running Kubernetes microservices with Azure DevOps CI/CD, plus Kafka-based real-time eligibility event streaming and GitOps-driven operations.”
Senior Front-End Engineer specializing in React and modern web platforms
Mid-level Backend Software Engineer specializing in distributed systems and cloud-native microservices
Director-level Engineering Manager / Java Architect specializing in cloud-native payments microservices
Junior Software Engineer specializing in backend microservices and cloud-native 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.”
SAI PRASHANTH
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
“Software engineer/product-minded builder who owns customer-facing products end-to-end and ships in 1–2 week increments using CI/CD, automated testing, and feature flags. Built a TypeScript/React/Node platform that cut page load times by 40% and scaled to 3x concurrent users, and designed RabbitMQ-based microservices with Prometheus/Grafana monitoring. Also delivered an internal real-time support analytics dashboard that reduced response times by 30%.”