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Vetted Engineering Professionals in Texas
Pre-screened and vetted in Texas.
Popular Titles
Mid-Level Software Developer specializing in full-stack and cloud platforms
Mid-Level Full-Stack Software Engineer specializing in Healthcare and E-commerce
Mid-level Java Full-Stack Developer specializing in cloud microservices and React/Angular
Senior Full-Stack Java Developer specializing in cloud-native microservices (FinTech/Healthcare)
Mid-Level Backend Software Engineer specializing in Java/Python and DevOps
Senior Site Reliability/DevOps Engineer specializing in multi-cloud infrastructure and security
Senior Software Engineer specializing in AI agents, RAG, and enterprise search in Financial Services
Mid-level Full-Stack Python Developer specializing in FinTech and real-time payments
Senior SRE/DevOps Cloud Engineer specializing in multi-cloud Kubernetes, GitOps, and security
Senior DevSecOps Engineer specializing in secure multi-cloud CI/CD and IaC
Senior Security Engineer specializing in AWS cloud security and DevSecOps
Senior DevOps Engineer specializing in AWS cloud infrastructure and CI/CD automation
Senior DevOps & Systems Administrator specializing in Azure, IaC, and enterprise identity
Senior Full-Stack Developer specializing in cloud-native microservices (AWS)
Rafael Ortega
Senior Full-Stack & AI Engineer specializing in LLM integrations and cloud-native systems
“Backend/data engineer with hands-on production experience building FastAPI Python APIs and AWS-native platforms (Lambda/API Gateway, SQS, ECS Fargate) with Terraform + GitHub Actions CI/CD and strong reliability practices (JWT/RBAC, retries/timeouts, structured errors/logging). Also built AWS Glue ETL pipelines (S3/RDS to curated S3/Athena) with schema evolution and data quality controls, modernized legacy processing via parallel-run validation and phased cutovers, and has demonstrated SQL tuning impact (seconds to <200ms) plus incident ownership for batch pipeline SLAs.”
Mid-level Software Engineer specializing in SRE, observability, and LLM-powered automation
Namruth Potla
Senior .NET Software Engineer specializing in enterprise web applications
“Backend engineer with Walmart experience owning Python data-processing/integration services alongside ASP.NET Core. Has deployed containerized services to Kubernetes via OpenShift with Jenkins CI/CD and GitOps-style config management, and has led phased migrations modernizing VB6/classic ASP apps to ASP.NET Core on OpenShift/Azure. Also implemented Kafka-based real-time pipelines with a focus on reliability, idempotency, and observability.”
Sai Venkata Varun Danda
Mid-Level Software Engineer specializing in full-stack, AI/LLMs, and Android
“Backend/AI engineer who built a Spring Boot timesheet API on AWS (Postgres, Docker, Nginx) used by hundreds of daily users and resolved severe deadline-driven latency/5XX incidents via query optimization, connection pool tuning, and Redis caching. Also shipped application-layer LLM features (Mistral + LangChain chatbot) and designed a Planner/Executor/Verifier troubleshooting agent with verification-based guardrails to prevent hallucinated root-cause analyses.”
Rohith kollu
Senior Software Engineer specializing in backend microservices, cloud, and full-stack systems
“Backend/platform engineer who has built and scaled production Java/Spring Boot + Kafka services on AWS/Kubernetes (1M+ msgs/day) and led reliability/performance fixes that restored SLAs (25–30% latency improvement; 99.9% uptime). Also shipped an AI customer-support chatbot end-to-end using retrieval + guardrails and rigorous evaluation/observability, improving resolution time 40% and satisfaction 25%, with a strong plan/execute/verify approach to agentic workflow reliability.”
Sai Harshith Tanguturi
Mid-Level Software Engineer specializing in Java microservices and AWS cloud-native systems
“Full-stack engineer who has owned customer-critical analytics and course intelligence platforms end-to-end (React/TypeScript + Node/Express + SQL), including an internal self-serve Reporting & Analytics Center adopted by 1,000+ users. Demonstrates strong systems thinking across performance (2× faster heavy reports), reliability (feature flags, testing), and distributed architecture (RabbitMQ microservices with idempotency, DLQs, and correlation-ID observability).”