Vetted Backend Software Engineers in Texas

Pre-screened and vetted in Texas.

Andre Ballard - Senior Software Engineer specializing in cloud-native, event-driven platforms and AI in Houston, TX

Senior Software Engineer specializing in cloud-native, event-driven platforms and AI

Houston, TX8y exp
MicrosoftTexas A&M University
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VD

Mid-Level Backend Software Engineer specializing in Java/Python and DevOps

Dallas, TX3y exp
Goldman SachsBinghamton University
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SM

Senior Backend Software Engineer specializing in microservices and event-driven systems

Dallas, TX9y exp
CopartUniversity of Texas at Arlington
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VW

Senior Python Backend Engineer specializing in scalable APIs and cloud-native microservices

Arlington, TX12y exp
SnapStreamTexas A&M International University

Backend/data platform engineer who has built and operated a cloud-native media ingestion/processing platform in Python (Django/DRF, FastAPI) with Kafka, Postgres, and Redis, emphasizing multi-tenant security and reliability. Delivered AWS production systems combining EKS and Lambda with Terraform + GitHub Actions/Helm, and built Glue-based ETL pipelines with strong schema-evolution and data-quality practices; also modernized SAS analytics into Python on AWS. Seeking fully remote roles with a $120K–$140K base range.

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DK

Senior Backend Engineer specializing in Python and AWS cloud-native systems

Round Rock, TX12y exp
DellSt. Edward's University
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SK

Mid-level Python Developer specializing in cloud-native microservices on AWS

Dallas, TX5y exp
Southwest AirlinesUniversity of New Haven
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SK

Mid-level Python Developer specializing in AWS cloud-native backend systems

Dallas, TX5y exp
Southwest AirlinesUniversity of New Haven
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VR

Mid-level Backend Engineer specializing in cloud-native microservices and real-time streaming

Dallas, TX4y exp
State FarmUniversity of Missouri-Kansas City
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SR

Mid-level Backend Engineer specializing in Python APIs and cloud-native services

Texas, USA5y exp
Verveba TelecomNorthern Arizona University

Data engineer with experience at Morgan Stanley and Star Health owning production-grade lakehouse pipelines for credit risk and healthcare datasets. Built Azure/Databricks/Delta/Snowflake-based platforms processing millions of records per day with strong data quality, observability (Monte Carlo/Azure Monitor), and reliability practices, plus experience delivering curated data services with performance tuning and backward-compatible versioning.

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