Pre-screened and vetted.
Entry AI Software Engineer specializing in LLM workflows and ML pipelines
“Built an autonomous-agent document indexing concept in a hackathon with Microsoft and The Seattle Times, architecting an Azure-based system (Azure AI Foundry, Cosmos DB, Azure indexing, Copilot Studio) and coordinating closely with the customer team. Also created and pitched a sports matchmaking app (Ludicon), combining user studies, feature implementation, and technical support on sales/investor calls.”
Mid-level Software Engineer specializing in Python backend and ML infrastructure
Staff Software Engineer specializing in real-time data pipelines and full-stack platforms
Mid-level Security Engineer specializing in application security, IAM, and AI red teaming
Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms
Mid-level Software Engineer specializing in Python, ML/LLM systems, and scalable microservices
Senior Software Engineer specializing in AI/ML tooling and data platforms
Senior Full-Stack Software Engineer specializing in cloud-native microservices
Mid-level Technical Solutions Architect & Technical Operations Manager specializing in AI automation
Mid-level Full-Stack Developer specializing in cloud-native microservices
Executive Enterprise Technology Transformation Leader specializing in cloud, platforms, and operations
Mid-level Software Engineer specializing in real-time backend systems and FinTech payments
Senior Software Engineer specializing in Python, cloud microservices, and conversational AI
Junior Software Engineer specializing in full-stack systems and AI-powered internal tools
Senior Backend Engineer specializing in distributed systems and cloud microservices
“Backend/data engineer with experience at Nike building high-volume order orchestration and validation APIs using FastAPI microservices on AWS EKS with Kafka, Redis, and Postgres. Strong in production reliability (timeouts/retries/idempotency), GitOps (Argo CD) + Terraform deployments, and data pipelines (AWS Glue/S3), with hands-on incident ownership and legacy modernization into API-driven services.”
Director of Security & Data Platform Engineering specializing in AI-driven cloud security
“Player-coach engineering leader focused on scalable data security scanning and risk detection in hybrid cloud, owning architecture and core implementation of an incremental/parallel DSPM scanning engine. Shipped production improvements including 60% lower scan latency and 30% fewer false positives, with strong emphasis on correctness under concurrency, multi-tenant observability (SLOs/burn-rate alerts), and disciplined rollout practices (feature flags, shadow scans, canaries).”
Director-level Front-End Engineering Leader specializing in scalable web and mobile apps
“Amazon engineer/leader who drove a major modernization of the AWS Database Migration Service Console, migrating a monolithic UI to a micro-frontend architecture while improving performance, reliability, and engineering standards. Operates as a player-coach (80/20 hands-on/management), with demonstrated incident ownership and process improvements across Amazon and Walmart Labs.”
Executive platform engineering leader specializing in multi-cloud SaaS and data platforms
“Senior engineering leader with a rare blend of deep platform/infrastructure expertise and large-scale people leadership, spanning hands-on cloud-native architecture through management of globally distributed organizations of up to roughly 180 engineers. Particularly strong in Kubernetes platform modernization, reliability engineering, and scaling high-throughput SaaS systems while aligning platform investments to customer and business outcomes.”
VP Software Engineering Manager specializing in full-stack platforms, data, and AI in FinTech
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Principal cloud and security partnerships leader specializing in AWS alliances
Senior Full-Stack Software Engineer specializing in cloud-native web applications