Pre-screened and vetted.
Mid-level Software Engineer specializing in full-stack and cloud-native microservices
“Backend engineer who built a Python/Flask system for high-volume healthcare claims processing, using PostgreSQL as the source of truth and RabbitMQ workers for scalable async processing. Experienced in SQLAlchemy/Postgres performance tuning, multi-tenant data isolation (including Postgres RLS), and integrating/versioning ML model services (scikit-learn/PyTorch/Hugging Face) with controlled rollouts. Drove measurable performance gains by batching background jobs and adding Redis caching (40% less workload; response times cut from ~10s to 2–3s).”
Staff RPA & Automation Engineer specializing in Financial Services
“Blue Prism RPA developer in a small FinTech-aligned team who owned ~20 production bots and drove both delivery and reliability. Built a shared VDI/locking design that cut infrastructure cost ~20–30% and routinely handled ServiceNow-driven production incidents end-to-end, including hotfixes and longer-term SDLC fixes. Also acted as a player-coach, training junior hires and maintaining high bot success rates (up to 99% within SLA).”
Mid-Level Full-Stack Software Developer specializing in cloud-native web applications
“Capgemini engineer with hands-on ownership of production TypeScript backend integrations and loyalty-platform modernization. Built AWS event-driven microservices (SNS/SQS/Lambda) with GraphQL vendor calls and DynamoDB persistence, emphasizing reliability patterns like retries and idempotency; reports ~25% response-time improvement after migrating/optimizing services and workflows.”
Mid-level Software Engineer specializing in backend and real-time automotive systems
“Hands-on ML practitioner who built and deployed an end-to-end phishing email classifier (CLI + simple web app), achieving 98% accuracy and reducing manual security triage. Emphasizes production reliability through input validation, graceful failure modes, monitoring/logging, and iterative error analysis, with experience hardening pipelines against messy backend/database data using fallbacks and idempotent processing.”
Senior Unity/Unreal Gameplay & Simulation Engineer specializing in immersive training
“Game developer with hands-on end-to-end ownership as a solo Unity/C# developer, building a node/grid-based 2D gameplay system designed for fast iteration via event-driven, component-based architecture. Also prototyped Unity-to-external LLM integration over WebSockets (JSON world snapshots, async responses) and has Unreal Engine multiplayer experience (server-authoritative replication/RPCs) plus VR performance/UI optimization work.”
Mid-level Full-Stack Software Engineer specializing in AI and data applications
“Analytics-focused candidate with experience building SQL/Python pipelines and dashboards for donor, campaign, and website performance reporting. They have worked with messy multi-source data, standardized metric definitions, and delivered automated reporting that reportedly reduced manual effort by about 80%.”
Director-level Software Engineer specializing in VR simulation and game platforms
“Senior Unity/C# VR engineer building USAF training simulations in highly constrained, security-regulated environments. They’ve owned major systems end-to-end, including an offline-capable lesson/content pipeline that unlocked deployment at internet-restricted bases and a large-scale Photon multiplayer architecture syncing 500-1000 interactables per sim across Quest, Vive, and Varjo platforms.”
Senior software engineer specializing in AI/ML and LLM platform delivery
“ML/AI engineer with strong production ownership across predictive ML and Generative AI systems. They’ve delivered measurable business impact through real-time churn/drop-off prediction, RAG-based document QA, and scalable LLM optimization, with a consistent focus on reliability, safety, latency, and developer productivity.”
Junior Security Engineer specializing in cloud security and DevSecOps
“Candidate has hands-on experience building and debugging cloud-based backend workflows across AWS and GCP, including a remote desktop deployment for HP, email-to-Google-Sheets automation, and AI/voice backend testing. They stand out for practical infrastructure troubleshooting, API integration work, and lightweight LLM application development with attention to latency, cost, and operational stability.”
Senior Full-Stack Software Engineer specializing in scalable enterprise applications
“Full-stack engineer who described building Matrix, a meeting-room booking system across React, ASP.NET Core, and SQL Server. Stands out for owning the workflow end-to-end, emphasizing backend-enforced booking conflict validation, React performance optimization, and integrations like Google Calendar and email notifications.”
Junior Software Engineer specializing in backend distributed systems
“Backend engineer in airport operations who built a highly customizable BFF-based system connecting airport staff workflows to a baggage sortation engine. Their architecture cut per-airport customization from 100-150 engineering hours to 1-5 hours, improved long-running operation performance by 45%, and shipped in 4 months instead of 6. They also explored AI-assisted backend customization with human validation and test-based safeguards.”
Mid-level Full-Stack Software Engineer specializing in cloud and data engineering
“Backend engineer with experience at Cigna evolving REST API services backed by PostgreSQL, emphasizing reliability/correctness, scalability, and observability. Has hands-on production experience with FastAPI (contract-first design, Pydantic schemas), performance tuning (indexes, caching), and secure auth patterns (OAuth/JWT, RBAC, row-level security via Supabase), plus low-risk incremental rollouts using feature flags and dual writes.”
Principal Software Engineer specializing in MongoDB and Java platforms
“Government and defense software architect with a track record of building mission-critical systems from prototype to long-lived production. Most notably designed Banyan at Fort Meade, a federated SOA platform that achieved 99.9999 uptime and handled 3.2 million daily queries, and later built SBOM automation at Lockheed Martin that was contributed back to the CycloneDX open source ecosystem.”
Staff Software Engineer specializing in AI-powered e-commerce search
“Built production AI systems for Macy's and Bloomingdale's, including an embeddings-based pipeline to clean trending search queries and an end-to-end 'Ask Macy's' multi-agent chat experience. Brings hands-on experience with real-world agent orchestration, tool integration, quality evaluation, and business-facing safeguards in a large-scale e-commerce environment.”
Mid-level Backend Software Engineer specializing in cloud-native microservices
“Backend/platform engineer with experience across Cigna, Cognizant, and a university environment, focused on reliability, distributed systems, and regulated-domain workflows. Stands out for combining Kubernetes/Kafka/AWS infrastructure expertise with a production RAG-based healthcare compliance assistant that cut manual reporting work from 30-45 minutes to under 2 minutes while maintaining strong uptime and data-quality controls.”
“Engineer with a thoughtful, hands-on approach to AI-assisted software development, treating AI as a force multiplier for debugging, prototyping, and large-codebase work rather than a substitute for judgment. Particularly strong in multi-agent coding workflows, contract-driven development, and maintaining consistency across backend, frontend, and testing through shared schemas and OpenAPI-based coordination.”
Mid-level Full-Stack Engineer specializing in cloud-native and AI-powered applications
“Candidate has a thoughtful, hands-on approach to AI-assisted software development, treating AI as a pair programmer while retaining ownership of architecture, tradeoffs, and final code quality. They have practical experience using multi-agent workflows to ship small features end-to-end, including planning, execution, and gap detection under human oversight.”
Mid-level Full-Stack Software Engineer specializing in agentic AI and document automation
“Software engineer who recently shipped an authentication and role-based access feature for a web app, using AI selectively for boilerplate, debugging, and test suggestions while retaining ownership of architecture, security, testing, and final review. Stands out for a disciplined, security-first approach to AI-assisted development and a pragmatic preference for lightweight API-driven solutions over unnecessary framework complexity.”
Mid-level Software Engineer specializing in cloud-native microservices
“Backend engineer who shipped a Spring Boot transactions/points feature while using AI selectively for boilerplate and test ideas, keeping core system design decisions in human hands. Stands out for rigorous validation of AI output against database behavior, concurrency, idempotency, and failure scenarios, and has also built a lightweight planner -> code gen -> validator agent-style pipeline with step-level logging and retries.”
Mid-level Front-End Software Engineer specializing in browser-based enterprise UI
“Frontend engineer with strong ownership of complex internal tooling at Phenom, including a high-volume logging and event-trails dashboard used to debug production issues across enterprise clients like MERCK and Regions Bank. Brings a rare mix of UI architecture, browser-performance depth, and product-minded polish, with measurable impact in micro-frontend optimization, developer productivity, and enterprise adoption.”
Mid-level Software Engineer specializing in backend microservices and AI-integrated platforms
“Full-stack engineer with experience spanning AI-powered product features and healthcare fraud detection systems. Has built end-to-end LLM-enabled applications, customer-facing recommendation systems at scale, and operational platforms that improved real-time investigations and flagged over 1,200 high-risk cases quarterly.”
Senior Frontend React Developer specializing in scalable web applications
“Frontend-focused product engineer in healthcare who has owned patient/provider scheduling experiences end-to-end, from product requirements and API design through React implementation, deployment, and post-launch measurement. Particularly strong in real-time operational dashboards, performance optimization, and cross-functional work with backend and product teams on complex scheduling workflows.”
Junior UX Engineer specializing in accessible frontend and product design
“Frontend engineer who served as the main frontend contributor on a new identity verification product at Proof, building the user flow from landing page through completion. Stands out for combining reusable React/TypeScript architecture, accessibility-minded form design, and polished UX details like process-visualizing animations and loading-state cleanup.”