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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
Vaishnavi Deshpande
Mid-Level Backend Software Engineer specializing in Java/Python and DevOps
Sriya Mishra
Senior Backend Software Engineer specializing in microservices and event-driven systems
Vincent Willliams
Senior Python Backend Engineer specializing in scalable APIs and cloud-native microservices
“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.”
Ramya Sree Kanijam
Junior AI/ML Engineer specializing in RAG systems and cloud-native MLOps
“Built and shipped a production LLM-powered RAG system at Upstart enabling natural-language search across 50k+ scattered internal technical docs. Delivered sub-300ms p95 latency for ~50 active users with strong hallucination safeguards (retrieval-first, thresholds, citations) plus robust testing/monitoring and cost controls (prompt caching cutting API spend ~20%).”
Daniel Kubala
Senior Backend Engineer specializing in Python and AWS cloud-native systems
sailaxmi kalwa
Mid-level Python Developer specializing in cloud-native microservices on AWS
SaiLaxmi Kalwa
Mid-level Python Developer specializing in AWS cloud-native backend systems
Vikas Reddy Chinnakistanolla
Mid-level Backend Engineer specializing in cloud-native microservices and real-time streaming
Saideep Reddy Talusani
Mid-level Backend Engineer specializing in Python APIs and cloud-native services
“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.”