Pre-screened and vetted.
Senior QA Engineer specializing in test automation, API testing, and cloud analytics platforms
Mid-level Full-Stack Developer specializing in .NET, Python/Django, and cloud-native web apps
Mid-level Data Scientist specializing in marketing analytics and scalable data platforms
Senior Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
Senior Applications Engineer specializing in ERP Financial Systems and GenAI automation
Senior Data Engineer specializing in cloud data platforms and real-time pipelines
Mid-Level Full-Stack Software Engineer specializing in cloud-native data platforms
“LLM/agentic systems practitioner who specializes in moving customer prototypes into production within microservices environments, emphasizing reliability, latency, security, and measurable success metrics. Experienced in real-time troubleshooting using logs/traces and in enabling adoption through hands-on developer workshops (including live coding in Java Spring Boot) and pre-sales POCs that address technical objections and integration risk.”
Senior Full-Stack Java Engineer specializing in cloud-native microservices
“Backend/platform engineer who owned high-volume Java/Spring Boot microservices on AWS (Kafka + RDS/DynamoDB) and has hands-on experience debugging complex production latency incidents across DB, JVM/GC, and async consumers. Also shipped applied AI features for ops, including an LLM-powered log analysis assistant and an incident-response agent with strong safety guardrails (schema-validated tool use, retries/backoff, and human-in-the-loop escalation).”
Senior Full-Stack Developer specializing in cloud-native microservices
“Bank of America engineer/product owner who built a real-time transaction insights and spending categorization platform using React/TypeScript and Spring Boot microservices with Kafka. Deep experience in event-driven architectures, performance tuning at peak banking loads, and reliability patterns (SLOs, observability, feature flags, DLQs). Also created an internal monitoring/alerting tool adopted across engineering and ops, cutting incident response time by 40%+.”
Mid-level Machine Learning Engineer specializing in MLOps and applied AI
Senior QA/UAT & Integration Test Manager specializing in enterprise platforms and data migration
Senior Full-Stack Java Developer specializing in microservices, cloud, and real-time systems
Mid-level Full-Stack Java Developer specializing in Financial Services
Mid-level Full-Stack Software Engineer specializing in cloud-native data platforms
Junior Data Scientist specializing in causal inference, NLP/LLMs, and forecasting
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level Java Developer specializing in Spring Boot microservices (FinTech & Healthcare)
Senior Python Full-Stack Developer specializing in cloud, data engineering, and ML/GenAI
“Backend/data engineer with hands-on production experience building FastAPI services on AWS and implementing strong reliability/observability (CloudWatch, ELK, correlation IDs, alarms). Has delivered serverless + container solutions with IaC (CloudFormation/Terraform) and Jenkins CI/CD, and built AWS Glue/PySpark pipelines into S3/Redshift with schema-evolution and data-quality safeguards; demonstrated large-scale SQL tuning (45 min to 3 min on a 500M-row workload).”
Junior Software Developer specializing in AI/ML and data engineering
“Built and owned an end-to-end AV operations automation and dashboarding platform for USC event operations, used daily to coordinate hundreds of live events. Delivered a React/TypeScript full-stack system integrating Smartsheet APIs with strong reliability practices (typed contracts, validation/fallbacks, safe rollouts) and experience with queue-based microservice patterns (idempotency, retries, DLQs, monitoring).”
Mid-level Supply Chain Analyst specializing in logistics optimization and planning analytics
“Supply chain/procurement professional (Maersk) who leads end-to-end freight sourcing initiatives using heavy analytics (SAP/SQL/Python/Excel) to drive measurable savings. Known for automating sourcing workflows (60% faster bid evaluation) and building Power BI dashboards to monitor contract compliance and supplier performance post-implementation.”