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Vetted Go Professionals
Pre-screened and vetted.
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-level Full-Stack Software Engineer specializing in cloud backend and AI infrastructure
Engineering leader specializing in cloud-native regulated healthcare SaaS
Mid-level AI/ML Engineer specializing in financial risk, fraud detection, and NLP
Mid-level Full-Stack Engineer specializing in FinTech and real-time distributed systems
Senior Full-Stack Software Engineer specializing in Healthcare IT and FinTech integrations
Senior DevSecOps & Cloud Engineer specializing in Kubernetes, GitOps, and federal compliance
Senior Full-Stack Engineer specializing in cloud-native microservices and AI solutions
Senior Full-Stack Software Engineer specializing in React, React Native, and Spring Boot
Junior Online/Full-Stack Developer specializing in live-service game backend systems
Mid-level Full-Stack Developer specializing in cloud-native microservices
Principal Automation Architect specializing in cloud DevOps, microservices, and MLOps
Senior DevOps/SRE Engineer specializing in multi-cloud infrastructure and Kubernetes
Rama Gowtham Reddy Padala
Mid-level Python Developer specializing in APIs, data engineering, and cloud-native systems
“Backend engineer (Marsh McLennan) who evolved a high-volume claims automation pipeline in Python, emphasizing thin APIs with background job processing, strong validation/retries, and production-grade observability. Experienced in secure FastAPI API design (centralized JWT/RBAC), multi-tenant Postgres/Supabase-style row-level security, and low-risk refactors using parallel runs and feature flags; targeting founding-engineer scope roles.”
Ali Taquie
Junior Software Engineer specializing in AI and FinTech payments
“Forward-deployed software engineer at PayStand who uses LLM prototyping tools (e.g., Cursor, Lovable) to rapidly build customer-specific demo environments and drive sales outcomes—citing ~$100K in technical buy-in before production development. Experienced supporting an enterprise expense management product (Teampay) with agentic AI workflows, emphasizing observability (Grafana/Loki/Tempo) and cross-functional communication with sales, product, developers, and customers.”
Mohana Satyanarayana Moganti
Mid-Level Software Engineer specializing in Cloud Infrastructure and Full-Stack Platforms
“Built and shipped a production LLM-powered grading platform that automates rubric-aligned scoring and feedback, with strong guardrails (RAG grounding, structured JSON, validation/retries) and operational rigor (metrics, drift monitoring). Experienced using CrewAI to orchestrate multi-agent workflows end-to-end and validating quality via gold-set benchmarking against human graders with regression testing on every prompt/model change.”
Christina Darstbanian
Mid-level DevOps & Cybersecurity Software Developer specializing in IAM/CIAM automation
“Frontend engineer who led the end-to-end UI for an internal employee catalog tool at Genetec, building React/TypeScript dashboards with complex search filters. Emphasizes tight product-owner feedback loops (weekly demos), Figma-based design alignment, and disciplined delivery practices using CI/CD, automated tests, and version tagging for rollouts/reverts.”