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Vetted Backend Engineers in Texas
Pre-screened and vetted in Texas.
Senior Full-Stack Engineer specializing in AI/GenAI and cloud-native platforms
Senior Backend Engineer specializing in FinTech and cloud-native microservices
Staff Full-Stack & AI Engineer specializing in LLM agents, RAG, and cloud-native systems
Staff Full-Stack Software Engineer specializing in cloud-native microservices
Senior Backend Engineer specializing in cloud-native microservices and secure APIs
Akashreddy Madduri
Senior Backend Engineer specializing in real-time data platforms for FinTech and Healthcare
“Backend/data engineer with experience at JPMorgan building near real-time payment risk and fraud scoring pipelines using Python, Spark Structured Streaming, and Delta Lake, emphasizing auditability, security, and data correctness (dedupe/late events) to reduce false positives. Also led a legacy-to-cloud migration of claims/eligibility data at Cogna with parallel runs, phased rollout, and healthcare-specific validation (ICD-CPT mapping).”
Mid-level Full-Stack Engineer specializing in FinTech and Insurance platforms
Senior Backend Engineer specializing in FinTech microservices and data pipelines
Mid-level Backend Engineer specializing in cloud-native FinTech data platforms
Vincent Fearing
Junior Full-Stack Engineer specializing in FinTech systems
“Full-stack engineer with deep experience in high-stakes integrations: owned end-to-end fintech payment notification/installment tracking at an early-stage startup (FastAPI/React/AWS), including multi-environment routing for live banking partners and reliability patterns like idempotency and retries. Also built a Coachella partner ticketing platform (React/TS/Node/Postgres) with strong concurrency controls and zero-downtime migrations, and previously delivered media-asset ETL/file-sharing automation at Sony Pictures using Frame.io with checksum-verified transfers.”
Senior Backend Engineer specializing in cloud-native JavaScript platforms and LLM integrations
Ambuk Rehani
Mid-level AI/Backend Engineer specializing in RAG and data platforms
“Built and shipped a production LLM-powered financial Q&A interface that extracts precise numeric data from PDFs using a hybrid AWS Textract + LLM normalization pipeline, with confidence gating and guardrails to prevent unreliable answers. Experienced with LangChain-based RAG orchestration (chunking, memory, structured outputs) and collaborated closely with PMs/analysts on IRS Form 990 extraction requirements.”
Mid-level Backend Engineer specializing in cloud-native microservices and real-time streaming
Junior Backend Engineer specializing in cloud automation and observability
Mid-level Back-End Engineer specializing in Python, Kubernetes, and Kafka streaming
Senior Full-Stack Engineer specializing in cloud-native microservices and AI integrations
Lokeshwar Reddy Gummireddy
Mid-level Backend Engineer specializing in Python APIs, event-driven systems, and Kubernetes
“Backend Python engineer who owned a real-time manufacturing insights streaming service, building FastAPI async microservices with Kafka-style queue buffering, batching/backpressure, and a low-latency snapshot store. Led a serverless-to-Kubernetes (EKS) migration at UGenomeAi using GitOps-style GitHub Actions pipelines, standardized config/secrets, and improved deployment consistency with pinned dependencies and multi-stage Docker builds.”
Mid-level Full-Stack Developer specializing in TypeScript/Node.js and AI-powered web apps