Pre-screened and vetted.
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and data analytics
“Software engineer with experience at Wipro Technologies and Wells Fargo building React-based SPAs, reusable component libraries, and developer documentation. Demonstrated strong performance engineering (React.memo, list virtualization, code splitting) with reported >50% rendering-time improvement, plus hands-on production support by diagnosing API outages via monitoring/logs and implementing traffic/server fixes. Comfortable leading workstreams in fast-changing environments using Kanban and tight stakeholder feedback loops.”
Mid-level AI/ML Engineer specializing in NLP, LLMs, and RAG for banking and healthcare
“Deployed a real-time LLM-driven call center summarization and agent-assist platform at Fifth Third Bank, combining transformer models (BERT/GPT) with FastAPI inference on AKS and vector storage (ChromaDB/PostgreSQL). Emphasizes production-grade reliability (autoscaling, CI/CD, monitoring) and measurable evaluation (A/B testing), and translates model outputs into business-facing Power BI insights for call center leadership.”
Senior Full-Stack Java Developer specializing in cloud-native FinTech microservices
“JavaScript/React engineer with hands-on open-source library contribution experience, including thoughtful PRs that improved error handling, API flexibility, and added features backed by tests and documentation. Demonstrates a profiling-first approach to UI/runtime performance (memoization, component splitting, render-path optimization) and strong community support skills—reproducing edge cases, delivering sustainable fixes, and communicating workarounds and releases.”
Mid-level Full-Stack Engineer specializing in cloud-native web apps
“Full-stack engineer in an early-stage startup who built an EV charger monitoring and payments dashboard from scratch, owning UI/UX (Figma), React frontend, Node/Postgres APIs, and production deployment/ops (Firebase + AWS). Demonstrated measurable impact (40% fewer reconciliation errors) and strong reliability chops through multi-source energy/payment ingestion, idempotent pipelines, and CloudWatch-driven incident resolution.”
Senior Software Engineer & Engineering Manager specializing in cloud backend and manufacturing MES
“Customer-facing engineer who led recurring midnight ERP data-feed/B2B integrations from prototype to production, building reusable APIs and using Hangfire for job scheduling. Known for tight weekly customer iteration, strong documentation and test coverage (80%+), and cross-functional problem-solving with Operations/Quality/NPI to resolve data-collection and manufacturing-process constraints; has 2 customers live on the integration.”
Mid Software Engineer specializing in backend and FinTech systems
“Full-stack engineer with strong ownership of complex web products, including building a real-time collaborative editor end-to-end using React, Spring Boot, WebSockets, Yjs CRDT, PostgreSQL, Redis, and Docker. Stands out for combining product delivery with production reliability and performance work, including reducing QA defects by ~25%, improving internal tool load times to under 2 seconds, and resolving latency issues in live systems.”
Mid-level Full-Stack Engineer specializing in AI and enterprise healthcare systems
“Built and shipped a production LLM-powered agent for supply chain operations that integrates ERP data and automates multi-step decision-making with tool calling, state management, and structured JSON outputs. Emphasizes production reliability (guardrails, fallbacks, monitoring, idempotency) and reports strong business impact: 40% faster decisions, 30% higher throughput, and 25% efficiency gains.”
Mid-level Frontend Engineer specializing in FinTech web applications
“Frontend engineer with enterprise experience at Silicon Valley Bank / First Citizens Bank, focused on complex React and TypeScript interfaces. Has built multi-application workflow switching, optimized production rendering performance with profiling tools, and delivered map-based dashboards handling large datasets while keeping UX responsive and maintainable.”
Junior Software Engineer specializing in AI and distributed systems
“Built and shipped a production LLM-driven data harmonization/record-matching pipeline for pharmaceutical datasets, combining normalization, embeddings/vector search, and an LLM validation step. Emphasizes production reliability via guardrails, confidence thresholds, idempotent/retryable stages, and human-in-the-loop fallbacks, with monitoring focused on manual review and error rates to reduce false positives.”
Mid-level Solutions Engineer specializing in enterprise SaaS and FinTech
“Engineer with a solutions-engineering profile who has operated at the intersection of enterprise SaaS architecture, customer-facing technical discovery, and implementation in logistics and fintech environments. He has supported high-scale warehouse management systems processing 500,000+ daily transactions, led integration and security discussions, and improved release efficiency by 50% through CI/CD automation.”
Mid-level AI/ML Engineer specializing in healthcare imaging and GenAI/LLM systems
“Built and deployed a production LLM/RAG clinical document understanding and summarization system for healthcare, focused on reducing manual review time while meeting strict accuracy, latency, and compliance needs. Demonstrates strong MLOps/orchestration depth (Airflow, Kubernetes, Azure ML Pipelines) and a rigorous approach to hallucination mitigation through layered, source-grounded safeguards and stakeholder-driven requirements with physicians/compliance teams.”
Mid-level Full-Stack Developer specializing in React and Node.js web applications
“Frontend engineer focused on scalable React/Redux + TypeScript applications, with hands-on experience designing reusable component architectures, improving performance (reducing re-renders, streaming API calls), and hardening maintainability through standardized styling and unit tests. Has shipped deadline-driven dashboard features (e.g., filters) using Agile practices and Jira to manage QA and client feedback.”
Mid-level Backend Engineer specializing in microservices and event-driven systems
“Backend-leaning full-stack engineer who has built and operated event-driven microservices platforms (FastAPI/React/TypeScript, Kafka, Kubernetes) and internal DevOps tooling. Delivered measurable impact through user-feedback-driven iteration (WebSockets update mechanism cutting redundant API calls ~30%) and operational improvements (deployment monitoring dashboard reducing rollback time ~40%), with strong focus on reliability, observability, and data consistency at scale.”
Mid-level AI Developer & Machine Learning Engineer specializing in LLM and MLOps systems
“Built and deployed an enterprise RAG application at Centene to help clinical teams retrieve insights from large internal policy document sets, cutting manual research by 30–40%. Implemented custom domain-adapted embeddings (SageMaker + BERT transfer learning) and hybrid retrieval (BM25 + Pinecone) to drive a 22% relevance lift, and ran the system in production on AWS EKS with CI/CD, MLflow, and Prometheus monitoring (99% uptime, ~40% latency reduction).”
Mid-level Machine Learning Engineer specializing in data security and GenAI systems
“Built Hexagon’s production Text-to-CAD Copilot that converts text and rough sketches into editable CAD code, combining GraphRAG (Neo4j/LangChain) with a Gemini-powered vision module and multi-agent geometric validation—cutting manual modeling from a day to ~45 seconds and driving retrieval latency below 50ms. Also has large-scale GCP data/ML orchestration experience (Airflow/Cloud Composer, Dataflow, Pub/Sub, Snowflake) processing 50M+ daily records with drift monitoring and automated reliability controls.”
Senior SDET specializing in test automation across web, mobile, API, and connected devices
“AAA sports game QA tester who supported full development through launch and live updates, owning gameplay stability/regression risk. Experienced in triage-driven prioritization and in diagnosing complex crash issues (including thread synchronization) using evidence-backed Jira reports, then hardening coverage with stress/concurrency/soak and CI-integrated regression suites.”
Mid-level DevOps Engineer specializing in AWS/GCP Kubernetes and Terraform
“IBM Power/AIX infrastructure engineer who owned a very large production estate (12 Power9 E980 frames and 400+ AIX 7.2 LPARs) with deep hands-on expertise in VIOS/vHMC, DLPAR, and PowerHA. Demonstrated strong incident response (zero-downtime DLPAR fix; split-brain prevention during storage failure) and modernization skills spanning Jenkins/Ansible CI/CD and Terraform automation for IBM Power Virtual Server/PowerVC.”
Mid-Level Full-Stack Software Engineer specializing in Java, React, and AWS
“Backend engineer focused on cloud-native microservices on AWS, owning Python/Flask ingestion services integrated with S3/Lambda and deployed via Docker/Kubernetes with CI/CD. Has led phased migrations from manually managed EC2 setups to automated CloudFormation + pipeline-driven releases, and designed event-driven near-real-time pipelines with idempotency, retry/backoff, and strong observability.”
Senior DevSecOps Engineer specializing in multi-cloud Kubernetes and CI/CD automation
“Cloud/DevOps engineer operating across AWS and Azure, running Kubernetes workloads with secure CI/CD (GitHub Actions/Azure DevOps) and Terraform IaC. Has supported AIX/PowerHA systems in hybrid environments—handling failover testing, incident recovery, and performance troubleshooting (including multipath/storage-path issues)—and has led cutovers by managing dependencies, rollback, and stabilization.”
Mid-level Software Engineer specializing in Python backend and AI/GenAI
“Backend/infrastructure-focused engineer building AI-agent products for small businesses, including a customer-service agent platform with intent routing, RAG over Pinecone, and external booking API integration. Has shipped Python/FastAPI services with JWT auth, versioned APIs, Docker deployments to AWS EC2 via GitHub Actions, and production monitoring with Prometheus/Grafana.”
Junior Software Engineer specializing in backend systems and ML applications
“Full-stack engineer with hands-on experience building and shipping production web products across AI, frontend, backend, and DevOps. Notably built an end-to-end resume-job matching platform during an internship that processed 1000+ resumes/day and cut recruiter screening effort by 60%, and later shipped an internal operations dashboard at CHS with measurable performance gains.”
Senior Go/Python Full-Stack Engineer specializing in cloud-native microservices
“Backend/data engineer with hands-on production experience across FastAPI microservices and AWS (Lambda, ECS, SQS, RDS, S3), plus Glue/Athena analytics pipelines. Demonstrates strong reliability and operations focus (timeouts/retries, centralized errors, CloudWatch monitoring) and measurable SQL optimization impact (25s to under 2s). Seeking fully remote senior developer role at ~$150k base.”
Senior Full-Stack Engineer specializing in Java microservices and Healthcare IT
“Backend engineer with hands-on experience modernizing healthcare platforms in a startup-like team of 8-12 across engineering, QA, DevOps, and product. They personally drove scalable Java/Spring Boot microservices for healthcare workflows, including FHIR integrations, real-time data pipelines, and resilient integrations with legacy and third-party systems.”
Intern Software Engineer specializing in AI agents, MLOps, and data engineering