Pre-screened and vetted.
Mid-level Full-Stack Engineer specializing in cloud-native microservices and healthcare portals
“Backend/platform engineer in healthcare and consulting (Molina Healthcare, TCS) who productionized real-time eligibility/authorization and care navigation workflows with strong reliability and HIPAA security. Demonstrated measurable performance gains (≈40% latency reduction, ~99% uptime) using Spring Boot APIs, SQS decoupling, Redis caching, and deep observability, and regularly leads technical demos that accelerate client adoption.”
Mid-level Full-Stack Engineer specializing in cloud-native microservices and FinTech systems
Senior Software Engineer specializing in backend APIs and cloud-native services
Mid-level Full-Stack Developer specializing in cloud-native microservices and AI/ML integration
Senior Backend Software Engineer specializing in cloud-native payments and billing systems
Mid-level Java Full-Stack Developer specializing in cloud microservices and AI integration
Mid-level Full-Stack Developer specializing in cloud-native FinTech and AI integrations
Senior Software Engineer specializing in cloud-native Java microservices
Senior Full-Stack JavaScript Developer specializing in React and Node.js
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Executive IT Leader / Deputy CIO specializing in enterprise architecture, cybersecurity, and cloud transformation
Mid-level Software Engineer specializing in full-stack and machine learning
“Built a production AI-powered customer support Q&A system using an internal knowledge base to reduce repetitive ticket work and improve customer satisfaction, with an emphasis on source-backed answers and expert oversight. Also has experience defining deployment services in a microservices architecture and integrating large-scale APIs (including work connected to US HHS/COVID-19).”
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
“Backend engineer with experience in both healthcare (Siemens) and payments (Bitwise), focused on scaling Python APIs and modernizing architectures. Has led monolith-to-microservices migrations and introduced Kafka async processing, Redis caching, and ELK observability, citing ~40% faster issue resolution and improved reliability via idempotency and strong security controls (OAuth2/JWT, RBAC, RLS).”
Mid-level Full-Stack Developer specializing in FinTech and cloud-native microservices
“Customer-facing software engineer who rapidly turns business requirements into Figma prototypes and PoC applications, using workflow prioritization and frequent client reviews to stay aligned. Has hands-on experience integrating with existing authentication/user APIs, building MongoDB-backed caching, and implementing robust fallback/retry mechanisms. Comfortable working on-site with customers and resolving production issues in AWS (e.g., DNS/EC2 traffic routing) in collaboration with DevOps.”
Mid-level Java/Full-Stack Software Engineer specializing in Healthcare and Insurance systems
“Full-stack engineer in the healthcare domain (Humana) who owned an end-to-end member portal for benefits/claims/appointments, built with React and Spring Boot microservices on AWS. Notably migrated legacy batch data flows to a Kafka streaming pipeline and tuned consumers/partitions/backpressure to improve real-time consistency and achieve ~12% processing performance gains.”
Mid-level Full-Stack Developer specializing in healthcare cloud applications
“Master’s-program backend engineer with strong Java/Spring Boot industry experience who also owned a Python analytics service (Flask/Postgres, JWT, Celery/Redis) and optimized large-dataset performance via SQL/batching. Has hands-on Kubernetes microservices deployment and GitLab+Terraform CI/CD/GitOps workflows, plus experience supporting phased on-prem to AWS migrations and building Kafka-based real-time streaming pipelines.”
Mid-level Full-Stack Developer specializing in Python/Java and cloud-native web apps
“Robotics-focused full-stack engineer with hands-on ROS experience building sensor-processing and control nodes, plus a track record of debugging and optimizing real-time robot responsiveness via profiling and message-timing analysis. Uses Webots for pre-hardware validation and Docker/CI/CD to standardize deployments and catch issues early.”
Mid-level Software Engineer specializing in Java microservices and ML model integration
“Backend/ML platform engineer who owns end-to-end delivery of ML-serving APIs (FastAPI + TensorFlow) and runs them reliably on Kubernetes using ArgoCD GitOps. Has hands-on experience solving production-only issues (probe tuning for model warm-up, resource profiling) and building scalable Kafka streaming pipelines, plus supporting phased on-prem to AWS migrations with dependency discovery and recreation of hidden jobs/workflows.”
Mid-Level Software Development Engineer specializing in Java microservices and cloud DevOps
“Graduate project contributor/maintainer in the open-source JavaScript ecosystem who built “Intersect,” a blockchain-based certification verification platform. Developed a front-end component library integrating QR generation/scanning and Ethereum smart contract interactions, and improved real-world QR scan reliability across devices via custom image preprocessing and performance profiling-driven React optimizations.”
Mid-level Full-Stack Software Developer specializing in cloud-native microservices
“Built a real-time telemedicine clinician dashboard and iterated post-launch by diagnosing lag via logs/metrics and optimizing DB queries/sync logic. Also shipped a production internal RAG knowledge assistant for support teams, including embeddings/vector DB, citation-only answers with abstention thresholds, and an eval loop driven by real ticket data that improved accuracy through chunking/overlap and batching optimizations.”
Mid-level Full-Stack Java Developer specializing in microservices and cloud-native systems
“Backend engineer with hands-on experience building real-time, event-driven systems at Walgreens, including a Kafka-based prescription status notification service and scalable pipelines for messy prescription/inventory data. Strong focus on reliability patterns (retries, idempotency, DLQs) and iterating based on pharmacist feedback to improve usability.”