Pre-screened and vetted.
Mid-level Full-Stack Engineer specializing in FinTech systems
“Full-stack engineer with strong fintech/financial-systems experience who built an automated reconciliation and reporting system end-to-end (Python/Django/FastAPI + React, Docker on AWS), cutting reconciliation time by ~25% and improving audit traceability. Experienced designing typed REST APIs and Postgres data models, operating production workloads on AWS (EC2/Lambda/RDS/DynamoDB/CloudWatch), and building reliable ETL/integration pipelines with idempotency, retries, and reconciliation.”
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps
“Data professional with ~4 years of experience, most recently at AIG (insurance), building ML/NLP systems for fraud detection and policy automation using transformers, CNNs, and clustering/anomaly detection. Also developed a RAG-based knowledge retrieval system, iterating across embedding models and moving to production based on precision and latency SLAs, then containerizing and deploying with SageMaker and CI/CD.”
Senior Application Security Engineer specializing in DevSecOps and CI/CD security
“Cloud-native infrastructure and application security practitioner focused on AWS multi-account environments, partnering with engineering teams on threat modeling, secure architecture reviews, and secure SDLC alignment. Has implemented IaC-driven centralized logging/SIEM and improved IAM and logging redundancy to strengthen both security posture and operational resilience, plus maintained secure CI/CD pipelines with integrated security scanning and release guardrails.”
Mid-Level Data/ML Engineer specializing in Generative AI and cloud data platforms
“Built and productionized an LLM-based financial document analysis system using a RAG pipeline, including robust ingestion/chunking/embedding workflows, vector DB retrieval, and an AWS-deployed FastAPI service containerized with Docker. Demonstrates strong applied expertise in improving retrieval quality and latency at scale, plus hands-on experience debugging agentic/LLM workflows with monitoring and trace-based analysis while supporting demos and customer-facing adoption.”
Mid-level Software Engineer specializing in full-stack web and cloud automation
“Full-stack TypeScript/Angular/Node engineer who owned a production healthcare application for a pharmaceutical client, supporting 100K+ monthly users across 10+ countries. Strong focus on maintainability and quality (reusable localized component library, ~90% unit test coverage, SonarQube in CI/CD) plus performance work (reported 15% client-side latency reduction and up to 50% backend latency reduction) while migrating legacy mobile code with strict backward compatibility.”
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 Java/J2EE Developer specializing in Spring Boot microservices
“Backend/data engineer with hands-on AWS data platform work (S3 + Glue + Lambda/Step Functions) and Kubernetes GitOps delivery (Argo CD + GitHub Actions). Has led ingestion and transformation of semi-structured event data, built internal APIs for ETL operations/monitoring, and implemented Kafka-based near-real-time streaming with enrichment and Elasticsearch for search/analytics, plus experience supporting an on-prem ERP migration to AWS.”
Director of Engineering specializing in cloud-native SaaS and distributed systems
“Engineering leader for a facial-recognition edge platform who drove a full-stack modernization to scale from ~100 edge devices to thousands of locations. Led a major distributed-systems re-architecture (NATS streaming), database migration (MongoDB to PostgreSQL + TimeScaleDB), and UI/API modernization (React), while scaling the team 5→15 and implementing CI/CD + automated QA to improve release velocity and reliability.”
Mid-level Machine Learning Researcher specializing in computational geometry and scientific computing
Mid-level Robotics Software Engineer specializing in motion planning, perception, and autonomy
Mid-level Full-Stack Developer specializing in Java/Spring microservices and React
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps
Junior Full-Stack Developer specializing in React and Node.js
Mid-Level Software Development Engineer specializing in Healthcare IT and FinTech
Intern Full-Stack/Backend Software Engineer specializing in distributed systems
Mid-level Full-Stack Software Engineer specializing in microservices and cloud-native systems
Senior QA Tester specializing in ETL, data validation, and test automation
Mid-Level Software Engineer specializing in backend systems, cloud, and cybersecurity
Mid-level QA Engineer specializing in ERP and SAP Order-to-Cash testing
Mid-level SDET specializing in test automation for APIs, UI, and databases
Mid-level Full-Stack Software Engineer specializing in Python and FinTech
Mid-level Full-Stack Software Developer specializing in Java/Spring and cloud microservices
Junior Full-Stack Software Engineer specializing in Python, APIs, and cloud-native systems