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Vetted Amazon VPC Professionals

Pre-screened and vetted.

HV

Mid-level DevOps Engineer specializing in cloud infrastructure and Kubernetes

Boca Raton, FL5y exp
UnitedHealth GroupUniversity of Central Missouri
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WW

Mid-level AWS Cloud Engineer specializing in GovCloud security and operations

Fort Lauderdale, FL5y exp
AccentureUniversity of West Florida
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SD

Mid-level Full-Stack Developer specializing in Python and Next.js cloud-native systems

Dallas, TX4y exp
ScienceSoftClemson University
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BV

Senior AI/ML Engineer specializing in RAG systems and MLOps on AWS

Aurora, IL5y exp
First Centennial Mortgage
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UT

Mid-level Full-Stack .NET Developer specializing in Angular, Azure, and AI integrations

New York, USA4y exp
WeSuite
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SL

Senior Cloud DevOps & Security Engineer specializing in AWS/Azure, Kubernetes, and compliance

5y exp
Ionna
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MP

Staff Infrastructure Engineer specializing in security, compliance, and distributed AI systems

San Francisco, CA10y exp
Softmax
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MN

Mid-level Technical Support Engineer specializing in enterprise SaaS and cloud platforms

Dallas, TX6y exp
CheckSammyUniversity of North Texas

Customer-facing platform support professional focused on application security and reliability for SaaS integrations, with hands-on experience troubleshooting API auth failures and data update issues using Linux/app/DB logs, SQL, and monitoring. Demonstrates strong security fundamentals (least privilege, TLS/access controls, credential rotation) and can design secure AWS agent integrations while also supporting Azure containerized REST API deployments via CI/CD.

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LP

Mid-level Customer Service Specialist specializing in technical support and multi-channel service

Bengaluru, India3y exp
Thermo Fisher ScientificGovernment College of Engineering, Salem

Customer-facing application security/support professional who helps teams operationalize SAST/DAST/SCA in CI/CD, reduce false positives, and prioritize remediation by business risk. Has hands-on experience troubleshooting intermittent pipeline failures (rate limiting/timeouts under parallel load) using logs/metrics/traces, and driving durable outcomes via runbooks/KB documentation and phased security rollouts across stakeholders.

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CN

Senior Platform/DevSecOps Engineer specializing in Kubernetes and secure cloud platforms

Hawaii, HI9y exp
Agile DefenseUniversity of Maryland Global Campus
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RC

Senior Software Engineer / DevOps specializing in cloud-native distributed systems

Miami, FL11y exp
LennarUniversidad Central "Marta Abreu" de Las Villas
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VK

Vijay Kumar

Screened

Mid-level Cloud/DevOps Engineer specializing in AWS automation and CI/CD

Chicago, IL4y exp
Enterprise MindsGovernors State University

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.

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AA

Alexis Abbott

Screened

Senior Python Developer specializing in AWS, microservices, and data pipelines

Boston, MA6y exp
SumatoSoftPenn State University

Backend/data engineer with strong AWS production experience spanning serverless APIs and containerized workers (Lambda, API Gateway, ECS) plus data pipelines (Glue, S3, Athena/Redshift). Has modernized legacy SAS/cron batch systems into Python/AWS with parallel-run parity validation and low-risk cutovers, and has owned ETL incidents end-to-end (CloudWatch detection, backfills, and preventative controls). Targeting $130k–$150k base and strongly prefers remote, with occasional Bethesda onsite acceptable.

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VD

Vincent Dory

Screened

Senior Python Full-Stack Engineer specializing in AWS media processing platforms

Remote8y exp
Warner Bros. DiscoveryBradley University

Lead developer on a Warner Brothers Discovery media management platform, building Python/Flask APIs and AWS-based workflows. Delivered a serverless search overhaul (Lambda + API Gateway + OpenSearch Serverless) while maintaining parity with legacy Rekognition tag-based search, and implemented event-driven ETL (SNS/SQS) to ingest/validate CSV metadata into PostgreSQL with strong logging and incident response practices.

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SD

Mid-Level Full-Stack Software Developer specializing in Java/Spring microservices and cloud

Alhambra, CA3y exp
KrogerCalifornia State University, Los Angeles

Backend engineer who owned and shipped a campaign analytics API (FastAPI/Postgres/Redis/Celery) with ingestion from Instagram/YouTube, JWT auth, tests, and Docker deployment; improved performance from >1s to <150ms using precomputed aggregates and composite indexes. Experienced with Kubernetes GitOps using GitHub Actions + ArgoCD (zero-downtime rollouts, one-click rollbacks), Prometheus/Grafana observability, hybrid cloud-to-on-prem migrations, and real-time notification streaming via Redis Pub/Sub + WebSockets.

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LS

Senior Full-Stack Software Engineer specializing in AWS, .NET, and data/telemetry platforms

Cincinnati, Ohio15y exp
Workhorse GroupBowling Green State University
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GM

Mid-level Software Developer specializing in DevOps, CI/CD, and AWS Kubernetes

Oklahoma City, Oklahoma3y exp
PaycomUniversity of Central Oklahoma
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SR

Mid-level DevOps Engineer specializing in Azure cloud infrastructure and CI/CD

USA4y exp
TCSSouthern Arkansas University
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SK

Senior Full-Stack & Cloud Engineer specializing in AWS Serverless SaaS

9y exp
Republic Services
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SK

Sai Krishna Sriram

Screened ReferencesStrong rec.

Mid-level Generative AI & ML Engineer specializing in production LLM and RAG systems

Temecula, California3y exp
CLD-9University of Colorado Boulder

AI/ML engineer who shipped a production blood-test report understanding and personalized supplement recommendation product, using a LangGraph multi-agent pipeline on AWS serverless with OCR via Bedrock and RAG over vetted clinical research. Also built end-to-end recommender system pipelines at ASANTe using Airflow (ingestion, embeddings/features, training, registry, batch scoring/monitoring) with KPI reporting to Tableau, with a strong focus on safety, evaluation, and measurable reliability.

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