Pre-screened and vetted.
Senior Front-End Engineer specializing in enterprise UI architecture for FinTech
“Senior frontend engineer with 6 years of experience building enterprise-grade Angular/React applications in regulated industries, especially banking. Most notably worked on BLCM at Tasha Bank, a compliance platform that replaced fragmented Word/Excel SharePoint processes with a unified browser-based workflow for analysts and managers, and drove measurable performance and usability gains.”
“Front-end engineer with deep expertise in sophisticated browser-based UIs for manufacturing ERP workflows, including a custom canvas-rendered scheduling timeline used by production planners all day. Stands out for combining low-level browser performance knowledge with close observation of expert users, resulting in a tool that replaced long-standing spreadsheet workarounds and significantly improved scheduling efficiency.”
Senior Full-Stack Developer specializing in Fixed Income OMS and FinTech
“Front-end engineer with strong ownership of complex browser-based trading platforms for portfolio managers and traders. Stands out for building high-performance React/Redux UIs that handle real-time market data and large datasets, while also improving expert-user workflows through thoughtful usability enhancements.”
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
“Full-stack engineer with production experience across React/TypeScript, Node/Express, and Java/Spring Boot, operating containerized systems on AWS (EKS/ECS/EC2/RDS/S3) with strong observability (CloudWatch/Grafana). Notable for fixing a real checkout/order-placement failure end-to-end by adding frontend submission guards and backend idempotency with Redis + Kafka deduplication, then validating impact via technical metrics and business KPIs. Has also built Kafka-based integrations/pipelines with robust retry/backfill/reconciliation patterns in retail and banking contexts.”
Mid-level Full-Stack Engineer specializing in cloud-native microservices and AI automation
“Software engineer/product owner who has led end-to-end delivery of AI and content-management platforms, including building RAG-based reliability improvements and migrating fragile systems to containerized AWS ECS/Kubernetes with Terraform-managed CI/CD. Experienced designing event-driven microservices (SQS/SNS/RabbitMQ), scaling queue consumers with autoscaling, and creating internal Python tooling to standardize data connectors (e.g., BigQuery/Airtable/internal APIs) to speed iteration.”
Junior Full-Stack Engineer specializing in TypeScript/React, Python, and AWS
“Full-stack engineer who built and owned an end-to-end real-time engineering dashboard for Medtronic robotic surgical systems, streaming high-frequency sensor/kinematic data via Python WebSockets to a React/TypeScript UI. Differentiates through performance/reliability practices (stable core vs experimental layer, observability, caching) and high-impact 3D visualization + session playback that became part of engineers' regular bench-testing workflows.”
Senior Java Full-Stack Developer specializing in microservices and cloud deployments
“Software engineer/product owner experience at GE Healthcare, owning a patient records and claims workflow product end-to-end. Built React/TypeScript + Spring Boot systems with contract-driven APIs (OpenAPI) and operated Spring Boot microservices using RabbitMQ, focusing on reliability patterns (idempotency, DLQs) and performance improvements driven by clinical feedback. Also created an internal monitoring/deployment dashboard that became the default tool for on-call and production support.”
Mid-level Full-Stack Developer specializing in Java/Spring Boot, Angular, and AWS
“Full-stack engineer with recent Mutual of Omaha experience building a cloud-native microservices application in Java/Spring Boot with a React/Angular frontend, integrating multiple AWS services (Lambda, S3, DynamoDB, SQS). Has hands-on experience operationalizing AI features via OpenAI/AWS Bedrock and improving reliability/performance through caching, async processing, and CI/CD pipeline optimization.”
Mid-level Java Full-Stack Developer specializing in Healthcare and Financial Services
“Full-stack engineer with healthcare domain experience (UnitedHealthcare) delivering real-time claims/eligibility dashboards using Spring Boot microservices and React/TypeScript, with strong AWS/Kubernetes DevOps. Demonstrated measurable impact through performance tuning (33% faster retrieval; 45% faster responses during a 60% traffic spike) and HIPAA-aligned security practices. Also built production FastAPI services for high-volume financial transactions with strong testing and observability (95%+ coverage; Prometheus/Grafana).”
Mid-Level Full-Stack Developer specializing in Java/Spring Boot and React in banking
“Full-stack engineer (4+ years) with Citigroup experience building a modular banking dashboard using React/TypeScript/Redux and a Java Spring Boot microservices backend (12+ services) integrated with Kafka. Strong in reliability/observability and cloud operations on AWS (EC2/S3/Lambda, CloudWatch, Prometheus, ELK, IaC with Terraform/CloudFormation), with quantified improvements in latency, development speed, and data pipeline correctness.”
Mid-Level Full-Stack Software Engineer specializing in hybrid cloud platforms
“Full-stack engineer from HPE GreenLake who built and owned a cloud/hypervisor resource management experience end-to-end, including Postgres modeling, typed REST/GraphQL integrations, and resilient provisioning workflows. Drove a centralized Redux-based UI architecture that boosted dev velocity by 50% across 30+ teams, and continued post-launch ownership with DR integrations (AWS/GCP/Azure) plus expanded Cypress testing and observability.”
Staff Full-Stack Software Engineer / Tech Lead specializing in scalable web platforms
“Frontend engineer who has led end-to-end delivery of a bag tag management application and contributed to a bank wealth application using micro-frontends. Emphasizes scalable architecture, reusable component systems (Storybook), performance techniques (lazy loading/code splitting), and quality/security tooling (Veracode, Wiz Scan, SonarQube) with a disciplined multi-environment release process.”
Mid-level Full-Stack Java Developer specializing in Angular and Spring Boot microservices
“Full stack Java developer (5 years Java/Spring Boot) building a mortgage-focused rule engine platform used by business users and developers. Experienced scaling data-intensive microservices on AWS (RDS/S3/SQS) and optimizing high-volume rule processing with SQL tuning, caching (KIE container), and asynchronous task decoupling; also delivers modern UIs in Angular and React (Redux/Toolkit).”
Mid-level Java Full-Stack Developer specializing in microservices and cloud platforms
“Full-stack engineer focused on modernizing legacy financial/compliance platforms into cloud-native, domain-driven microservices. Deep hands-on experience across Spring Boot/Kafka/Redis/Postgres-Mongo backends and React/Angular frontends, with strong CI/CD and Kubernetes/OpenShift deployment practices for real-time, high-volume workloads.”
Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native microservices
“Open-source React dashboard/visualization library maintainer focused on runtime performance and API clarity. Led a significant effort to eliminate severe render lag on large live-updating datasets through profiling-driven refactors (normalized state, memoized selectors) and locked improvements in with CI, linting, and documentation that reduced regressions and improved external contributor onboarding.”
Executive technology leader specializing in startups, SaaS, and cloud-native platforms
“Early-stage technical advisor working fractionally with an AI health tech startup focused on autism therapy, helping turn a functional prototype into a deployable enterprise application. Brings a mix of hands-on coding, infrastructure/Terraform experience, and founder-oriented thinking around market opportunity, studio fit, and right-to-win.”
Mid-level Full-Stack Engineer specializing in AI products and LLM systems
“AI-native software developer who has built a highly structured workflow around Claude, Cursor, design agents, and SpecKit to plan, design, implement, and test features end to end. They also use multi-agent setups with sub-agents and git worktrees, and have experience acting as a tech lead for AI agents by assigning roles, guiding execution, and reviewing outputs.”
“Frontend engineer with experience building specialized browser-based interfaces for asset management and machine service recommendation systems. Stands out for creating custom UI components like a calendar from scratch in pure JS/TS and CSS, while applying permission-based architecture, design-system constraints, and functional React/Redux patterns.”
Mid-level Full-Stack Software Engineer specializing in SaaS and AI-enabled web applications
“Full-stack engineer who led an end-to-end rebuild of a service-agent case management app (React SPA + backend/DB updates) and added Datadog monitoring, improving agent throughput by ~1 case/hour and saving roughly $15K/month. Experienced in incremental legacy modernization (including moving a legacy React frontend toward a Rails-based approach) with heavy unit/E2E testing and strong cross-team stakeholder communication.”
Staff Frontend Engineer specializing in React platforms and SaaS architecture
“Frontend engineer who owned a globally deployed, multi-brand appointment-booking experience for Estée Lauder, balancing React modernization with legacy platform constraints. Stands out for combining micro-frontend architecture, browser-performance optimization, and product analytics tools like Fullstory, NPS, and attribution tagging to drive both UX improvements and measurable revenue impact.”
Mid-level Full-Stack Java Developer specializing in retail, banking, and healthcare systems
“Full-stack engineer with hands-on ownership of a real-time retail inventory and shipment tracking platform, spanning React/Angular dashboards through Spring Boot microservices, PostgreSQL, and Kafka. Stands out for building operationally impactful systems in ambiguous environments and for thinking carefully about scalability, monitoring, and user-friendly workflow automation, even without direct production AI experience.”
Mid-level Software Engineer specializing in backend web applications and APIs
“Backend-leaning full-stack engineer who has shipped both a SaaS analytics/A-B testing platform and an AI-driven fraud monitoring product in production. Stands out for combining React/TypeScript frontend work with Python/Java backend systems, event-driven architecture, and practical LLM integration grounded by validation and human analyst feedback, with measurable impact on engagement, performance, fraud accuracy, and false positives.”