Pre-screened and vetted.
Mid-Level Full-Stack Software Engineer specializing in cloud, security, and distributed systems
Senior QA/UAT & Integration Test Manager specializing in enterprise platforms and data migration
Junior Software Engineer specializing in ServiceNow, data engineering, and AWS
Senior QA Engineer specializing in test automation, API testing, and performance testing
Mid-level Full-Stack Software Engineer specializing in cloud-native data platforms
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Executive People & Culture leader specializing in org design, leadership coaching, and change management
Mid-level SDET / QA Automation Engineer specializing in API and UI test automation
Mid-level AI/ML Product & Solutions Specialist specializing in GenAI and MLOps
Director-level HRIS & HR Transformation leader specializing in Workday, ServiceNow, and people analytics
Mid-level QA Engineer specializing in manual and automation testing for web, mobile, and APIs
Executive Business Systems & Product Leader specializing in ERP/CRM/HRIS and enterprise automation
“Operations/process leader with experience in SaaS and RPO environments, known for turning tribal knowledge into scalable, measurable systems. Has built documentation and knowledge-management standards for 90+ person teams, used data and change agents to drive adoption, and delivered major productivity gains (~300%) through training and automated reporting. Also led cross-functional process mapping and implemented partner onboarding workflows directly in Salesforce to improve SI partner enablement.”
Senior Full-Stack Software Engineer specializing in Python and AWS
“Backend/data engineer who has built production Python microservices (FastAPI) and AWS-native platforms for event ingestion and analytics, combining ECS/Fargate + Lambda with CloudFormation-driven environments and strong secrets/IAM practices. Experienced modernizing legacy logic with parallel-run parity validation and safe phased cutovers, and has demonstrated measurable SQL tuning wins (20–30s down to 1–2s) plus incident ownership in Glue/Step Functions ETL pipelines.”
Mid-level Product Manager specializing in retail e-commerce and subscription growth
“Growth creative/performance marketer currently at Walmart who led Walmart+ checkout announcement/enhancement campaigns end-to-end, combining user behavior analysis, customer feedback, and multi-variant A/B testing. Reported measurable funnel and revenue-adjacent lifts (faster checkout, nearly doubled first-time completion, +18% repeat visits, +$1.2 basket size) and uses Power BI plus platform analytics (Meta/TikTok/YouTube) to drive rapid, modular creative iteration with creators and editors.”
Mid-level Data Scientist specializing in Generative AI, LLMOps, and clinical data pipelines
“LLM/RAG engineer who has built and deployed corporate-scale systems at Novartis and Johnson & Johnson, including a healthcare AI agent that generates day-to-day treatment schedules. Recently handled a high-stakes safety incident (LLM suggesting overdose) by tightening model instructions and validating with ~200 test prompts, and has strong end-to-end data/embedding/vector DB pipeline experience (PySpark, FAISS, Pinecone) plus SME-in-the-loop evaluation (RLHF).”
Mid-level SAP MM/SD Functional Consultant specializing in P2P, O2C, and inventory management
“Procurement/sourcing professional with deep end-to-end ownership of recurring program supply and services sourcing (materials plus logistics/fulfillment), focused on reducing unit and landed costs while improving OTIF and tightening SAP purchasing controls. Demonstrates structured supplier vetting (capability, capacity, execution reliability), strong negotiation on commercial terms and SLAs, and proactive mitigation of international trade/freight/duty volatility through risk-adjusted sourcing strategies.”
Mid-level Product Manager specializing in data-driven product strategy and analytics
“Procurement/sourcing professional with hands-on experience selecting and rolling out an analytics dashboard vendor end-to-end—using stakeholder discovery, POCs, and a scoring matrix—then negotiating a ~26% cost reduction and waiving implementation fees. Also demonstrates strong trade compliance instincts by catching and correcting an incorrect tariff code that would have increased duties ~18%, and uses structured milestone/risk tracking (RAG) to keep OTD and approvals on track.”
Mid-level Full-Stack & GenAI Engineer specializing in RAG and LLM applications
“Software engineer working on an e-commerce platform, currently building a RAG-based recommendation system with a team new to the technology. Has delivered an end-to-end React/TypeScript website for a local car dealer and built an internal "encryption as a service" tool to secure sensitive data across repositories and through release/UAT, with experience debugging microservices integration issues.”
Executive Product & Technology Leader specializing in FinTech SaaS, core banking, and payments
“Product/technology executive who has repeatedly built and scaled engineering organizations from early-stage startups to large enterprises (including Temenos with ~2,000 developers). Led major platform modernizations (monolith-to-microservices) to enable SaaS, resilience, and faster delivery, and launched an innovation hub to build proprietary neural-network biometric algorithms for a payments product enabling "wave of the hand" transactions.”
Mid-level Digital Forensic Examiner specializing in electronic evidence and platform support
“QA professional with Apple experience supporting the macOS Sonoma release, owning daily monitoring of submissions, crashes, regressions, and release verification across multiple OS/device builds. Notably isolated a memory-related issue in the Safari suite that caused an 18-hour build backlog and 156+ test crashes, leading to a Python-script fix that restored build times to ~1 hour and helped keep the release on schedule.”
Mid-Level Full-Stack Engineer specializing in Financial Services and platform adoption
“Capgemini engineer who helped take a travel insurance platform from prototype demos to a stable production system by clarifying requirements, hardening API contracts, and adding validation/logging to handle real customer data and external integrations. Experienced in real-time troubleshooting of complex workflows (including LLM/agentic-style workflows) through strong observability practices, and in leading practical developer-focused demos that accelerate client integration and adoption.”
Director-level Talent Acquisition Leader specializing in HR technology and enterprise recruiting
“Talent Ops/TA leader who has managed a 15-person combined recruiting + operations team and owned major HR tech initiatives, including end-to-end CRM implementations (Phenom People, GEM) and ATS/HRIS compensation-field integrations (PeopleSoft to Taleo). Known for measurable process improvements—cut time-to-fill from 100 to 65 days, increased offer acceptance by 20%, and boosted referrals by 30%—and for building analytics dashboards to pinpoint funnel bottlenecks and hiring manager responsiveness.”
Senior Data Scientist specializing in machine learning and customer analytics
“Data/ML practitioner with experience applying NLP and classical ML to large-scale customer data (2B+ records) for segmentation, prediction, and survey-text classification, delivering measurable business impact (~18% engagement efficiency). Has hands-on entity resolution across multi-source datasets and has built embedding-based semantic search using SentenceBERT + a vector database with domain fine-tuning (~20% relevance improvement), plus production workflow experience with Spark/Airflow and cloud tooling (AWS/Azure).”