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Vetted SDLC Professionals
Pre-screened and vetted.
Senior Game QA Tester specializing in Unreal Engine design tools
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-Level Full-Stack Software Engineer specializing in Java, Spring Boot, and React
Mid-level Full-Stack Developer specializing in cloud-native web apps
Senior Unix/Linux Systems Administrator specializing in AIX, Linux, VMware, and AWS
Senior Java Full-Stack Developer specializing in enterprise web apps and microservices
Senior Data Engineer specializing in Azure, Databricks, and BI/ETL platforms
Senior Software Quality Assurance Engineer specializing in mobile, web, and video game QA
Senior DevOps & Systems Administrator specializing in Azure, IaC, and enterprise identity
Executive Product & Technology Leader specializing in SaaS, eCommerce, and digital transformation
Director of Technology Delivery specializing in Agile transformation and enterprise programs
Mid-level Java Full-Stack Developer specializing in microservices and cloud platforms
Senior Full-Stack Engineer specializing in cloud-native Java microservices and GenAI
Senior Full-Stack Developer specializing in cloud-native microservices (AWS)
Dan Gervais
Executive Technology Leader specializing in SaaS, Big Data, and Cloud Architecture
“Hands-on IT/engineering executive who has led high-impact architecture changes and compliance-driven data systems. Notably built an internally developed columnar database at Troparé (with dual-support UI for legacy/new DBs) and shipped an MVP in 3–4 months with dramatic performance improvements, and previously delivered PCI/opt-out compliant deletion workflows while addressing DB performance and migrations.”
Deeksha V
Mid-Level Software Engineer specializing in cloud data platforms and FinTech payments
“Backend engineer focused on financial systems, having evolved payments and reconciliation platforms using Python/FastAPI and PostgreSQL with an emphasis on idempotency, validation, and consistency. Has led monolith-to-services migrations using feature flags and shadow traffic, and implements defense-in-depth security (OAuth2/JWT plus DB-level row security) for multi-tenant environments.”
KrishnaVarshith Pabbisetty
Mid-level Backend Software Engineer specializing in Spring Boot, microservices, and cloud-native AI
“Backend engineer with experience modernizing a large-scale procurement platform at Jio Platforms by breaking a monolith serving 35 business units into Spring Boot microservices, improving uptime and cutting report latency ~30%. Also built high-concurrency FastAPI systems (200ms at ~500 concurrent users) with strong security (JWT/OAuth2/RBAC), event-driven Kafka integrations, and reliability patterns like exactly-once delivery for ~1M monthly triggers.”
Sai Haritha Sardena
Mid-level Full-Stack Software Engineer specializing in web, cloud, and AI/ML
“Software engineer with experience at Wipro and Tylmen Tech owning customer-facing onboarding and real-time features end-to-end (React + Spring Boot) and building TypeScript/React apps backed by Node.js microservices (MongoDB, RabbitMQ). Strong in production reliability and fast iteration: feature-flagged rollouts, idempotent APIs/consumers, DLQs, and SLO-driven incident tooling, including an internal QA & release dashboard adopted by engineering and support teams.”
Vigneshwari Shankiri
Senior Java Full-Stack Developer specializing in microservices and cloud platforms
“Frontend engineer who has led enterprise-scale UI delivery end-to-end on a microservices platform, designing modular Angular SPAs (v12-17) tightly aligned to Spring Boot REST APIs. Emphasizes quality and release velocity through layered testing (Karma/Jasmine), CI/CD automation (Jenkins/Azure DevOps), performance tuning with RxJS/lazy loading, and incremental rollouts with close product/design/QA collaboration.”
Edem Kporha
Senior Technical Support/Systems Engineer specializing in secure enterprise operations
“AppSec-focused engineer with experience supporting federal case management platforms at Armedia (SAST/DAST/SCA, threat modeling, injection remediation) and leading production troubleshooting for Ecobank’s virtual card service across 33 African affiliates. Known for using deep log/SQL/trace analysis to pinpoint TLS and query issues, documenting clear repro evidence, and driving measurable outcomes like eliminating recurring SQL vulnerabilities and stabilizing activation success rates.”