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Vetted Containerization Professionals
Pre-screened and vetted.
Mid-level Full-Stack Developer specializing in Java/Spring and modern web apps
Mid-level Full-Stack Software Developer specializing in cloud-native microservices
Junior Full-Stack Software Engineer specializing in AWS serverless and Python
Mid-level Full-Stack Software Developer specializing in Django/React and cloud-native systems
Senior AI Engineer specializing in LLM and generative AI production deployments
Senior DevOps & Cloud Engineer specializing in Kubernetes, IaC, and DevSecOps
Senior DevOps Engineer specializing in cloud-native Kubernetes and DevSecOps
Mid-level Full-Stack Java Developer specializing in cloud microservices and React
Mid-level Data Engineer specializing in cloud-native ETL/ELT and Snowflake analytics platforms
Senior Data Engineer specializing in cloud lakehouse platforms for banking and healthcare
Mid-level Python Backend Engineer specializing in cloud-native microservices and event-driven systems
Senior DevSecOps Engineer specializing in secure CI/CD and cloud compliance
Senior DevOps/Site Reliability Engineer specializing in multi-cloud Kubernetes platforms
Mid-level Java Full-Stack Developer specializing in cloud-native microservices
Executive Enterprise Architect specializing in cloud, ERP/CRM, integrations, and AI/ML
Executive Technology Leader specializing in IT transformation, cloud infrastructure, and cybersecurity
Bharath Reddy Nallu
Mid-level Machine Learning Engineer specializing in NLP and scalable MLOps
“Data/ML engineer in financial services (Northern Trust) who built a production RAG-based LLM system to connect structured transaction/portfolio data with unstructured market and internal documents for risk teams. Strong in end-to-end pipelines (AWS Glue/Airflow/PySpark), entity resolution, and taking models from prototype to reliable daily production with performance tuning (LoRA + TensorRT) and monitoring.”
Bhuvaneswari Kudaravalli
Mid-Level Full-Stack Software Engineer specializing in TypeScript, React/Next.js, and Node/Nest APIs
“Full-stack engineer who built and scaled an AI-powered web product (React/Next.js + TypeScript/NestJS) with MongoDB, Redis, and RabbitMQ. Strong in rapid iteration while maintaining production quality—uses versioned APIs, feature flags, CI/CD, and observability (correlation IDs/structured logs) to ship frequently and debug distributed workflows. Also created an internal operations dashboard for real-time visibility and control of background jobs/AI workflows that was adopted quickly by ops and product teams.”
Praniket Ketan Walavalkar
Junior AI Software Engineer specializing in RAG agents and cloud data platforms
“AI Software Engineer (student employee) at University of Washington IT who helped deploy "Purple," a governed, explainable LLM platform on Azure used by 100,000+ students/faculty/staff. Independently led scalable reliability efforts by building automated agent quality/load/red-team testing and CI/CD health validation (Playwright/Node.js, Azure DevOps), and previously built an explainable AI scheduling assistant for clinical operations at Proliance Surgeons.”
Glen Jarvis
Staff Site Reliability Engineer specializing in cloud infrastructure and automation
“Infrastructure/automation engineer with experience bridging post-acquisition environments (Pandora + SiriusXM) by building an API-driven integration to provision Debian workloads on RHV while preserving iPXE-based imaging workflows. Strong in deep debugging across virtualization/network/OS layers (e.g., resolving virtio/vCPU contention causing network/NFS issues) and in extending automation tooling via custom Ansible/Python modules. Also has exposure to biomanufacturing on-prem devices (Hamiltons, shakers) alongside AWS microservices.”