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Vetted NoSQL Professionals

Pre-screened and vetted.

DS

Senior Data Engineer specializing in cloud data platforms and scalable ETL pipelines

Rosharon, TX11y exp
AssistRxUniversity of Texas at Austin
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JJ

Mid-level Software Engineer specializing in MLOps, AI infrastructure, and distributed systems

Raleigh, NC4y exp
UC San DiegoUC San Diego
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VK

Mid-level Full-Stack Software Engineer specializing in cloud-native web and real-time systems

Sunnyvale, CA3y exp
UberIllinois Institute of Technology
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SY

Mid-Level Software Engineer specializing in Java microservices and reactive systems

Austin, TX6y exp
AppleUniversity of Memphis
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SP

Mid-Level Software Engineer specializing in Cloud-Native Platforms on AWS and Kubernetes

Seattle, WA5y exp
AmazonUniversity at Buffalo
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SR

Mid-level Data Engineer specializing in cloud lakehouse and streaming analytics

Remote, US4y exp
RampUniversity of Colorado Boulder
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MG

Senior Software Developer specializing in Python, AWS, and Big Data

Chicago, Illinois11y exp
CVS HealthCal Poly San Luis Obispo
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ZS

Senior Full-Stack Software Engineer specializing in AI assistants and cloud platforms

Greater Tampa Bay Area, FL8y exp
ShopifyRensselaer Polytechnic Institute
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TL

Senior Full-Stack Software Engineer specializing in Healthcare IT and cloud-native systems

Boston, MA11y exp
BCGUniversity of Texas at Austin
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AR

Executive VP of Engineering specializing in FinTech platforms, cloud modernization, and AI/ML

New York, NY20y exp
Genesis Wealth & Asset ManagementJönköping University
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FS

Executive Technology & Data Leader specializing in AI/ML strategy and digital transformation

Salt Lake City, UT13y exp
AlchemeeUC Santa Barbara
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LR

Mid-level Software Engineer specializing in cloud API authorization and distributed backend systems

East Palo Alto, CA5y exp
AmazonUniversity of North Texas
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AR

Mid-Level Software Engineer specializing in cloud-native distributed systems

Seattle, WA6y exp
Mercedes-BenzRochester Institute of Technology
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VS

Mid-level Software Engineer specializing in cloud-native platforms and healthcare systems

Dallas, TX3y exp
PlayStationUniversity of Texas at Dallas

Backend engineer with healthcare-domain experience building a security-critical RBAC identity/authentication/authorization microservice suite used across hospital imaging platforms (X-Ray, Ultrasound, etc.). Demonstrates strong security mindset (mTLS, cert hygiene, JWT, pen-testing collaboration) and pragmatic scaling/reliability practices (Nginx load balancing, Redis caching, automated tests, canary rollouts).

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CM

Executive Engineering Leader specializing in cloud, DevSecOps, and large-scale platform modernization

Tampa, FL17y exp
PwCOregon Institute of Technology

Co-founded a Digital Loss Prevention (DLP) startup and raised $6M in seed funding by showcasing a controlled, laptop-based technology demo. Post-funding, drove MVP planning and execution by sequencing operations and assembling a team to build an appliance MVP, using an iterative build/evaluate/visualize approach.

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RS

Mid-level Machine Learning Engineer specializing in Generative AI and MLOps

Missouri, USA3y exp
AirbnbUniversity of South Florida

LLM/agent engineer who has shipped production RAG chatbots in sustainability-focused domains, including a packaging recommendation assistant that standardized messy user inputs and used Pinecone-backed retrieval over product/regulatory data. Experienced orchestrating end-to-end ML workflows with Airflow and AWS Step Functions/Lambda, emphasizing reliability (property-based testing, circuit breakers, OpenTelemetry) and measurable performance (latency/cost). Partnered closely with non-technical leadership to ship 3 weeks early, driving adoption by 150+ businesses and ~20% reported waste reduction.

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DV

Senior Software Engineer specializing in cloud backend systems and LLM-powered agents

Seattle, WA5y exp
AmazonSan José State University

Amazon Fire TV Devices engineer who built and shipped a production LLM-powered lab triage and validation system that grounds recommendations in internal runbooks/known-issue data and pushes evidence-based actions via dashboards and Slack. Emphasizes safety and measurability with structured JSON outputs, replay-based evaluation on historical incidents, and production metrics (e.g., disagreement rate and time-to-first-action), plus cost/latency optimizations like caching, batching, and rule-based fast paths.

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MP

Senior Director of Software Engineering specializing in cloud-native microservices for streaming platforms

San Jose, CA20y exp
XperiAnna University

Engineering leader who drove TiVo IPTV’s client-facing API modernization from a monolith to AWS-based microservices (API Gateway, Lambda, EKS, Kafka, DynamoDB/RDS), including phased/blue-green production routing of millions of calls. Emphasizes org scaling through skill-based hiring, mentorship, and a you-build-you-run ownership culture, while balancing technical leadership with executive stakeholder communication and budgeting.

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NS

Mid-Level Software Engineer specializing in cloud-native systems, automation, and LLM-enabled robotics

Sunnyvale, CA6y exp
AmazonIndiana University Bloomington

React-focused engineer who built a full-stack analytics/test-metrics dashboard (React frontend + Python backend) and turned common UI pieces (data tables, filter panels, chart wrappers) into a reusable internal component library with docs, examples, and basic tests. Strong on profiling-driven performance optimization (React Profiler, memoization) and on owning ambiguous internal-tool projects end-to-end; now planning to package internal patterns into public open-source components.

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AB

Anu Baluguri

Screened

Mid-Level Software Engineer specializing in cloud-native microservices and event-driven systems

San Francisco, CA4y exp
AtlassianUniversity of Southern Mississippi

Full-stack engineer with production experience at Atlassian and Zoho, spanning GraphQL federation, React/TypeScript frontends, and cloud-native AWS/Kubernetes operations. Built and operated a federated GraphQL gateway with Terraform + CI/CD + observability, delivering major latency and integration-time improvements, and also designed high-volume Kafka data pipelines (10M+ events/day) with strong reliability guarantees.

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