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Vetted Microservices Professionals

Pre-screened and vetted.

ZK

Zahaan Khan

Screened

Mid-Level Full-Stack Software Engineer specializing in ads transparency platforms

San Jose, USA6y exp
TikTokUniversity of Waterloo

TikTok engineer (4 years) who built and owned multiple ad transparency platforms used by internal teams and advertisers worldwide. Strong full-stack profile spanning Next.js/TypeScript + Redux frontends, a secure/optimized BFF layer, and event-driven backend workflows (Kafka, retries/DLQ, Redis idempotency) with heavy emphasis on observability and performance; cites a 20% moderation efficiency gain on a modernized legacy tool.

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ML

Executive Engineering Leader specializing in cloud-native platforms and global team scaling

28y exp
Rambis TechnologyColumbia University

Entrepreneurially driven technical leader seeking to partner with a founder/business plan owner to provide technical expertise. Helped drive Wiser's expansion into Europe by evaluating acquisition targets' technical estates and making the recommendation that was chosen. Applied lean, high-leverage product thinking at Nabis on a two-sided marketplace, delivering buyer value with a simple algorithm and later adding paid boosting for brands.

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BS

Bennett Smith

Screened

Senior Full-Stack Engineer specializing in cloud-native microservices and React

Los Angeles, CA14y exp
Universal StudiosNYU

Backend/data engineer with strong AWS production experience spanning high-traffic FastAPI APIs (Postgres/Redis/Kafka) and serverless+container deployments (Lambda/ECS) managed via Terraform and CI/CD. Has built Glue-based data lake ETL (S3 Parquet, Athena/Redshift) with schema drift/data quality controls, modernized legacy batch systems via parallel-run parity validation, and demonstrated measurable SQL performance wins (60–90s down to 3–5s).

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RR

Director-level Engineering Leader specializing in SaaS, Cloud Migration, and Cybersecurity

Santa clara, CA8y exp
CiscoTexas Tech University

Senior engineering leader with experience at Cisco, Amazon, and startup Shopkick, operating at high scale (e.g., Secure Web Gateway handling ~40M QPS). Known for measurable impact across reliability and cost (85% efficacy improvement; Datadog spend cut from ~$500k/month to ~$15k/month) and for leading complex platform modernization (1-year monolith-to-microservices/event-driven migration with zero customer impact) plus compatibility-focused API design that cut device onboarding from a month to a day.

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CS

Mid-level Machine Learning Engineer specializing in fraud detection and real-time personalization

San Francisco, CA6y exp
StripeUniversity of Tampa

ML/LLM engineer with Stripe and Adobe experience who productionized a transformer-based Payments Foundation Model for real-time fraud detection at global scale (billions of transactions). Built petabyte-scale ETL/feature pipelines (Spark/EMR, Airflow, dbt, Kafka/Flink) and achieved <100ms multi-region inference (EKS, TorchServe, edge/Lambda, GPU/CPU routing) with strong PCI-DSS/GDPR compliance and explainability (SHAP/LIME), reporting a 64% fraud accuracy improvement.

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NM

Staff Software Engineer specializing in headless commerce and developer platforms

New York, NY10y exp
ShopifyUniversity of Florida

End-to-end product engineer who built and shipped Shopify Magic, an LLM-powered product-description generator on Amazon Bedrock with RAG over a tenant-isolated vector database, achieving 50% faster content creation, sub-2s latency, and 70%+ merchant adoption. Also led a Flexport migration from a monolithic Rails app to microservices using feature flags and parallel runs, delivering zero downtime and a 60% improvement in development speed.

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SR

Principal Backend/Platform Engineer specializing in GenAI agent orchestration and LLM pipelines

San Francisco, CA19y exp
MyResumeStar.comUSC

LLM-focused engineer/sales-engineering profile with hands-on experience productionizing complex systems: scalable distributed architecture, multi-tenant monitoring, canary/shadow rollouts, and robust fallback strategies. Demonstrated real-time troubleshooting depth (p99 latency spikes traced to DB connection limits causing retry storms) and strong developer-facing communication via RAG workshops and live, customer-specific demos that helped close deals quickly.

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AC

Aesha Choksi

Screened

Director-level Engineering Leader specializing in Cloud Security and Data Platforms

San Francisco, CA20y exp
SysdigCalifornia State University, East Bay

Engineering leader in cloud security at SysTech with player-coach experience spanning cross-team data/ownership standardization and reporting platform user-journey improvements. Stays technically deep through observability (SLA/SLOs, dashboards, alerting), rigorous code reviews (including AI-assisted coding), and end-to-end incident ownership in IAM/agentless cloud event collection. Targeting $270K–$300K base plus bonus/equity.

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FA

Faisal Ahmad

Screened

Senior Technical Program Manager specializing in cloud migration, automation, and global networks

Arlington, VA24y exp
Amazon

Product/operations-focused builder exploring an AI-based vacation planning app (early-stage). Previously drove a large-scale fulfillment-center automation initiative impacting 1.2M associates, reducing peak-season ad-hoc hiring and delivering ~$39MM in annual savings through a metrics-driven, cross-functional execution approach.

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JK

Mid-level Software Development Engineer specializing in cloud databases and distributed systems

Bay Area, CA5y exp
AmazonSan José State University
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PK

Mid-Level Software Engineer specializing in Android and experimentation

Menlo Park, CA3y exp
MetaSanta Clara University
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SR

Senior DevOps Engineer specializing in Azure/AWS cloud infrastructure and CI/CD

Arlington County, VA11y exp
BoeingSacred Heart University
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AR

Mid-level Software Engineer specializing in robotics, AI, and full-stack systems

Remote, USA5y exp
Mira MaceGeorgia Tech
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GR

Mid-level Backend/Platform Engineer specializing in AWS, Kubernetes, and FinTech automation

3y exp
AncestryNortheastern University
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MJ

Staff Software Engineer specializing in SaaS and E-commerce platforms

Remote10y exp
CalendlyUniversity of Texas at Austin
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NS

Junior Software Engineer specializing in distributed systems, cloud, and data infrastructure

Pittsburgh, PA1y exp
NetAppCarnegie Mellon University
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KS

Senior Software Engineer specializing in distributed systems, AI/ML platforms, and cloud-native SaaS

Seattle, WA7y exp
BrandhubifyUSC
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TF

Senior Full-Stack Software Engineer specializing in SaaS, cloud-native systems, and AI/ML

Austin, TX11y exp
Amazon Web ServicesCollege of Charleston
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SP

Senior AI & Data Engineer specializing in LLM agents, RAG, and data platforms

San Jose, CA25y exp
Capital OneUC Berkeley
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KK

Director of Engineering specializing in capital markets risk, trading systems, and AI/ML platforms

San Jose, CA29y exp
CognizantNYU
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BH

Mid-level Software Development Engineer specializing in AWS cloud and full-stack systems

Irvine, CA4y exp
AmazonUC San Diego
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DC

Intern Software Engineer specializing in cloud infrastructure, data pipelines, and distributed systems

San Francisco, CA1y exp
Abnormal AIUniversity of Waterloo
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W(

Senior Software Engineer specializing in AI platforms for healthcare and industrial time-series ML

Monroe, WA8y exp
MicrosoftUniversity of Washington
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PK

Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps

San Francisco, CA5y exp
PerplexityConcordia University Wisconsin
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