Pre-screened and vetted.
Mid-level Data Engineer specializing in cloud lakehouse platforms (Azure/AWS/Snowflake)
Mid-level Full-Stack Developer specializing in AWS modernization and Java/Angular
Senior Software Engineer specializing in DevSecOps and Azure cloud infrastructure
Senior Software Engineer specializing in data engineering, BI analytics, and AI/ML
Senior Full-Stack Engineer specializing in cloud-native web and mobile platforms
Staff Software Engineer specializing in backend platforms and FinTech/SaaS systems
Mid-level Software Engineer and Product Manager specializing in AI and financial data platforms
“Full-stack engineer with deep Next.js App Router + TypeScript experience who has shipped and owned production features in a fashion/wardrobe/resale domain. Demonstrated measurable impact across the stack: +25% engagement, 30% faster load times, 40% fewer errors, plus durable Temporal workflows and Postgres analytics/query tuning for real-time dashboards.”
Senior Software Engineer specializing in full-stack enterprise SaaS and digital marketing
“Atlassian engineer who grew from frontend into full-stack ownership, spanning React/TypeScript UI architecture, backend data pipelines, observability, and Kotlin/Spring Boot integrations. They describe owning Confluence profile-service integration tied to signup growth, plus building a marketing analytics platform with caching, reusable components, and data-quality tooling that increased stakeholder adoption by 30%.”
Senior Software Engineer specializing in cloud-native full-stack and FinTech systems
Mid-Level Full-Stack Software Engineer specializing in FinTech and data platforms
Senior Software Engineer specializing in backend systems and data platforms
Senior Software Engineer specializing in scalable cloud platforms and search systems
Mid-Level Software Engineer specializing in Java microservices and reactive systems
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices
Executive IT leader specializing in digital transformation and enterprise systems
Mid-level BI & Analytics Analyst specializing in data engineering and ML insights
“Frontend engineer with experience building real-time trading operations dashboards in React and TypeScript, focused on dense operational data, performance tuning, and maintainable component design. They have production experience optimizing large-data UIs and academic exposure to map-based weather applications using Google Maps and Mapbox, while currently requiring future H-1B sponsorship.”
Director-level Engineering Leader specializing in AI/ML and enterprise software
“Engineering leader with 20+ years of experience who still codes daily, currently directing AI-driven knowledge management systems at eGain. He stands out for combining large-scale people leadership with deep technical ownership of LLM/NLI pipelines and for a track record of turning complex operational problems into high-impact systems, including a manufacturing platform that boosted throughput 4x and expanded across 11 plants.”
Mid-level Data & Business Analyst specializing in analytics engineering and BI
“Data/analytics professional with experience across manufacturing and enterprise environments (Wisconsin School of Business project with CNH Industrial; roles/projects at Ascensia Technologies, S&C, and Adobe). Has hands-on work combining warranty/lifecycle tables with technician free-text notes using TF-IDF + tree models (XGBoost/Random Forest), and deep experience in entity resolution/reconciliation across mismatched financial systems using Python/SQL and fuzzy matching, with production-grade pipeline practices in Azure Data Factory/Databricks.”
Mid-level Full-Stack Software Engineer specializing in Java/Spring Boot and Angular
“Full-stack engineer with Cisco supply-chain and Wipro internal platform experience, focused on customer-facing UI performance and secure backend services. Built a bulk Excel inventory upload feature (Spring Boot/Apache POI) that cut manual effort ~80%, and delivered high-scale Angular/React dashboards with strong reliability/observability (FastAPI, JWT, Docker, AWS, AppDynamics).”
Senior QA Engineer specializing in game quality ownership, automation, and analytics
“QA/engineering background spanning Riot Games (VALORANT leaderboard systems) and early-stage startups. Has hands-on experience improving performance and reliability via caching, rate limiting, deduplication/idempotency, and shipping/validating high-stakes production hotfixes; also builds Next.js/TypeScript projects and automation/internal tools (Python).”
Mid-level Full-Stack Developer specializing in cloud microservices and GenAI systems
“Built and owned an end-to-end AI-driven decisioning platform at Uber, combining LLM orchestration with typed tool contracts and a Snowflake-based RAG pipeline to make decisions fully auditable. Delivered large-scale measurable impact (120k requests/day, 18k cases auto-resolved/month) while improving ops SLA from 3 days to 6 hours and cutting incident response time nearly in half. Previously led a high-risk strangler-fig modernization of a legacy insurance platform across 120+ microsites at Accenture, coordinating across multiple squads with feature-flagged parallel cutovers.”
Mid-level Software Engineer specializing in Java microservices and GenAI automation
“Software engineer (4+ years) with hands-on production GenAI experience: built an AI incident triage assistant that summarizes production logs for on-call engineers and iterated it using real incident metrics (time-to-signal, triage duration). Also shipped a RAG-based customer support knowledge assistant using embeddings + vector retrieval with strong guardrails (relevance thresholds/abstain, sanitization, auditing) and a formal eval loop (500-query gold set) that drove measurable retrieval improvements.”