Pre-screened and vetted.
Staff/Lead QA Engineer specializing in automation and localization (L10N/I18N)
“QA/project leader with ~19 years experience running high-profile, multi-million-dollar software initiatives and driving quality through disciplined milestone gates (Alpha/Beta/FC/GM), regression planning, and weekly bug scrubs. JIRA-centric practitioner (Zephyr/Confluence) who partners closely with engineering, automation, documentation, marketing, and sustaining teams—including offshore collaboration—to unblock testers and improve diagnostics for difficult issues like memory leaks.”
Mid-level Full-Stack Engineer specializing in FinTech and web applications
“Software engineer with experience at Freddie Mac shipping a production workflow tracking and daily summary dashboard that replaced spreadsheet/email-based operational processes. Worked across frontend (React/JavaScript), backend (Java), Oracle relational data, and CI/CD, with emphasis on stakeholder collaboration and post-deploy testing/monitoring/performance tuning.”
Junior ML Data Associate specializing in AI training data and LLM prompt evaluation
“Applied ML/embodied AI practitioner who built an on-device gesture-control system for smart-home lights using Raspberry Pi + camera, focusing on privacy-preserving real-time inference and hardware-constrained optimization (async pipeline + TF Lite INT8). Also made a high-impact architecture decision for an ML content evaluation/QA pipeline processing millions of annotated text samples weekly, reducing batch runtime from ~6 hours to ~40 minutes while lowering compute cost.”
Mid-Level Full-Stack Python Developer specializing in AI and data platforms
“Full-stack engineer who builds TypeScript/React SPAs on Python (Flask/FastAPI) backends and has hands-on experience integrating AI components (Azure OpenAI, LangChain, vector databases) into user workflows. Has built internal AI-enabled dashboards/search tools for analysts and business users, emphasizing typed API contracts, CI/CD-driven quality, and microservices reliability patterns (monitoring, retries, idempotency) at scale.”
Mid-level Backend Software Engineer specializing in cloud-native microservices and FinTech
“Backend-focused engineer with Mastercard experience building and operating high-volume transaction-processing microservices. Has owned customer-facing banking services end-to-end and built an internal on-call analytics tool that centralized logs/metrics with real-time filtering to speed root-cause analysis and reduce incident investigation time.”
Mid-level AI/ML Engineer specializing in LLMs, RAG, and enterprise MLOps
“Backend engineer who built an AI-driven "Smart Feedback Analyzer" API (Flask → FastAPI) that processes user feedback with NLP (Hugging Face + OpenAI) and returns structured insights. Demonstrates strong production-minded architecture: stateless services, Cloud Run + Docker deployment, Redis/Celery background processing, and Postgres/SQLAlchemy performance tuning (EXPLAIN ANALYZE, indexing, N+1 fixes), plus multi-tenant data isolation via JWT/API-key derived tenant IDs.”
Mid-level Full-Stack Developer specializing in Java/Spring microservices and React/Angular
“Full-stack engineer with hands-on production experience building real-time customer-facing features (order tracking + push notifications) across React/React Native and Node/Spring Boot with Postgres/MySQL. Demonstrates strong reliability patterns (transactional outbox, background workers, idempotent webhook ingestion) and has deployed/operated systems on AWS (ECS/Fargate/ALB, CloudWatch, CodePipeline) with structured observability and environment separation.”
Mid-level Java Full-Stack Developer specializing in cloud-native microservices and React
“Full-stack engineer with hands-on ownership of real-time, Kafka-driven systems in production, spanning React/TypeScript frontends, Spring Boot/Node backends, and AWS (EKS/ECS/EC2) operations. Notable for modernizing legacy batch workflows into event-driven architectures with measurable impact (35% faster risk calculations, 30% better accuracy) and scaling to 2x volume using reliability patterns like idempotency, retries, and staged rollouts.”
Mid-level QA Automation Engineer (SDET) specializing in API and test automation
“QA automation engineer who owns and modernizes end-to-end test automation across Selenium (Java) and Cypress (JavaScript), integrating suites into GitLab CI/CD with PR gating, nightly runs, and Sauce Labs reporting/recordings. Demonstrated impact by catching a session-timeout workflow issue in CI that manual testing missed and by reducing flakiness through stack upgrades, coding standards, and API-synchronized assertions.”
Executive Technology Leader specializing in SaaS platforms, AWS microservices, and security
“Platform/infra engineer with deep Kubernetes (EKS) and VMware vSphere experience who has led a monolith-to-microservices transition for a credit lending decision platform. Built GitOps-driven Terraform delivery with strong governance, and used LaunchDarkly-based progressive rollouts plus Datadog observability to safely ship multiple times per day (reported ~6x throughput and 1/3 the bugfix tickets vs legacy). Also operates hybrid on-prem/AWS networking (firewall + Transit Gateway, BGP) and has handled high-stakes datacenter migrations (100TB Storage vMotion) under Sev1 conditions.”
Mid-Level Software Engineer specializing in cloud-native microservices and FinTech platforms
“Software developer with hands-on experience refactoring a legacy .NET CMS into a newer API-driven application (ASP.NET MVC, JavaScript/HTML), including dynamic asset migration and resolving team merge conflicts in Bitbucket. Built automated tests with PyTest and used Postman for API validation, and leveraged Splunk for production issue detection; also worked on an end-to-end ticketing/workflow management project with prioritization and verification steps.”
Mid-level Software Engineer specializing in full-stack cloud and backend systems
“Full-stack JavaScript engineer (React/Node/Vue) who has operated like a maintainer by owning an internal component library with Storybook-style examples, documentation, and non-breaking versioning. Demonstrated strong performance engineering on a source code review service—profiling bottlenecks, fixing N+1 queries, adding caching, and trimming payloads to cut latency (e.g., ~100ms to <50ms) while rolling out incremental, test-backed improvements.”
Junior Software Engineer specializing in AWS backend and Generative AI
“Engineer focused on AI-assisted software development and enterprise legacy modernization, with hands-on experience designing multi-agent workflows for code analysis, business logic extraction, BRD generation, and validation. Stands out for combining prompt design and agent orchestration with strong engineering discipline, including testing, CI/CD, and human review checkpoints.”
Senior Software Engineer specializing in SaaS, distributed systems, and AI workflows
“Full-stack engineer with recent startup-style experience at SynapOne building enterprise B2B SaaS platforms for compliance and operational review workflows. Stands out for turning ambiguous business problems into production systems, including AI-assisted workflow automation, scalable Go/Python microservices, React/TypeScript interfaces, and PostgreSQL/Elasticsearch-backed platforms used daily by customers.”
Staff Software Engineer specializing in cloud-native enterprise web platforms
“Engineering leader focused on developer platforms and identity: led a 5-person team building a multi-tenant IAM framework extending Duende IdentityServer, including governance, API standards, and multi-language SDKs. Drove major API architecture improvements by introducing GraphQL alongside REST, cutting client calls from 4 to 1 and reducing payload size by 60% within 6 months, with strong emphasis on stability (semver, E2E tests, feature flags, blue-green deploys).”
Junior Software Engineer specializing in cloud infrastructure and automation
Senior QA Automation Engineer specializing in compliance, API, and platform testing
Mid-level Software Engineer specializing in backend APIs, microservices, and test automation
Mid-level Software QA Analyst specializing in test automation and API testing
Senior QA & Live Operations Specialist in Gaming and Enterprise Applications
Senior Software QA Engineer specializing in regulated healthcare and manufacturing systems
Mid-level SDET specializing in test automation for FinTech and Healthcare
Senior Data Engineer specializing in cloud data platforms and BI reporting