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Vetted Amazon SNS Professionals
Pre-screened and vetted.
Staff Software Engineer specializing in AI/ML and data engineering for healthcare automation
Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms
Mid-level Software Engineer specializing in Python, ML/LLM systems, and scalable microservices
Intern Software Engineer specializing in data engineering and LLM evaluation
Mid-level Full-Stack Python Developer specializing in cloud-native platforms and payments
Mid-level Backend/Distributed Systems Engineer specializing in AWS serverless architectures
Peter Gluck
Principal Software Engineer specializing in scalable, secure multi-platform systems
“Engineering leader and former CTO/Disney|ABC engineering manager who built white-label mobile app architecture that supported a branded app and successful exit, and later scaled Disney Channel brand app teams across iOS/Android/web and major OTT platforms. Led kid-safety architecture for DisneyNOW (“Junior mode” with PIN) and partnered with product/legal on COPPA compliance, emphasizing maintainable tech choices and strong execution processes.”
Senior Full-Stack Engineer specializing in real-time collaboration SaaS
Senior Full-Stack Software Engineer specializing in scalable web and mobile applications
Senior Full-Stack Software Engineer specializing in cloud-native web applications
Staff Software Engineer specializing in FinTech platforms and distributed systems
Staff Full-Stack Engineer specializing in data engineering and real-time event platforms
Senior Software Engineer specializing in FinTech payments and scalable platforms
Director-level Software Development Manager specializing in AWS infrastructure and distributed systems
Staff Software Engineer specializing in Healthcare SaaS and real-time systems
Mid-Level Software Development Engineer specializing in AWS serverless and ML/GenAI
Bhavani Shekhawat
Engineering Manager specializing in AI/ML platforms and 0→1 product delivery
“Player-coach engineer/lead on a high-scale research integrity platform ("Lighthouse") that flags fraud/manipulation signals across ~3M academic manuscripts per year. Owns architecture decisions (ADRs), implements across Go/Java/React services, and introduced NLP (SciBERT embeddings + human-in-the-loop) to assess out-of-context citations while also handling production incidents with a data-consistency-first approach.”
“Backend/full-stack engineer (Amazon experience) who built an AWS-based integration testing platform using Flask, ECS, Docker, and CloudWatch—cutting 1000+ test cases from ~5 hours to ~30 minutes while improving log visibility for non-engineering users. Also led a zero-downtime EU region migration with rigorous ORR testing, and built a Kinesis/Firehose/S3 + Glue/Spark replay mechanism for resilient data recovery. Side project: reproducible, cost-efficient LLM hosting platform on EKS using CDK and Karpenter for scale-to-zero.”
Aniket Singhal
Senior Software Engineer specializing in AWS-based distributed systems and FinTech platforms
“Backend engineer with Amazon experience building large-scale, automated financial/accounting and pricing systems on AWS. Designed a fault-tolerant Step Functions + DynamoDB workflow platform handling 100K+ messages/sec to compute fair values and generate journal entries in under 3 seconds, and led safe API refactors using shadow mismatch testing. Also uncovered a major legacy pricing bug (tax vs non-tax swap) that cut mismatch rates from 5–10% to ~0.5% and materially improved price acceptance/business outcomes.”