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Vetted AWS CodePipeline Professionals
Pre-screened and vetted.
Mid-level Backend/Full-Stack Software Engineer specializing in cloud-native microservices and APIs
Mid-level Data Engineer specializing in AWS ETL and data warehousing
Senior Cloud Infrastructure & DevOps Engineer specializing in AWS, Kubernetes, and automation
Junior Solutions Architect specializing in cloud and software engineering
Senior Full-Stack Engineer specializing in Python, data engineering, and cloud platforms
Senior Full-Stack AI Engineer specializing in cloud-native SaaS platforms
Senior Software Engineer specializing in backend systems and high-throughput data pipelines
Mid-Level Software Engineer specializing in cloud-native microservices and AI/ML
Senior Software Engineer specializing in backend and distributed systems
Mid-Level Software Development Engineer specializing in AWS serverless, security, and ML platforms
Mid-Level Software Engineer specializing in fraud analytics and cloud-native microservices
Senior Software Engineer specializing in cloud-native web services and observability
Senior Backend Engineer specializing in Python and AWS cloud services
Mid-level Full-Stack Developer specializing in AI and FinTech platforms
Senior Software Engineer specializing in Python, AI/ML, and AWS cloud-native systems
Senior DevOps Engineer specializing in cloud infrastructure, Kubernetes, and CI/CD automation
Mid-level Software Engineer specializing in scalable backend and cloud-native systems
Senior Full-Stack Engineer specializing in cloud-native web and mobile applications
Senior Full-Stack Software Engineer specializing in scalable microservices and cloud platforms
Senior Full-Stack Engineer specializing in cloud-native web and mobile platforms
Mid-level Software Engineer specializing in cloud-native AI/ML and full-stack systems
Prateek C
Mid-Level Full-Stack Software Engineer specializing in Java/Spring, React, and AWS
“Backend/full-stack engineer (5+ years) with Shopify experience integrating LLM/RAG workflows into production APIs. Owned a Python TensorFlow Serving inference pipeline connected to Java microservices via gRPC, optimizing tail latency at ~10k concurrent load and improving retrieval relevance with embedding and evaluation work. Strong Kubernetes/EKS + GitOps/CI/CD background, including monolith-to-microservices migrations and event-driven streaming patterns.”