Pre-screened and vetted.
Junior Full-Stack Software Engineer specializing in SaaS and AI-powered web apps
“Full-stack engineer with experience at HubSpot, Accolite, and an early-stage USC alumni startup (Workup). Built and shipped end-to-end workflow automation features (dynamic input configuration with strict schema validation) driving ~25% faster configuration, and delivered an AI interview customization feature in a high-ambiguity startup setting that increased adoption by ~40%. Comfortable operating production systems on AWS with CloudWatch observability and CI/CD, and has built real-time web apps with caching/indexing for performance.”
Senior Software Engineer specializing in AWS data platforms and event-driven systems
“Capital One engineer leading the architecture and delivery of a large-scale AWS Glue/Spark/Delta Lake batch messaging pipeline that decoupled batch from real-time flows, added multi-region failover and automated retries, and delivered ~40% AWS cost savings with ~3x performance gains. Currently building an LLM-powered Slack bot using RAG to automate message investigations by querying CloudWatch, Snowflake, and internal documentation with privacy-aware masking of NPI/PII.”
Mid-level Software Engineer and Product Manager specializing in AI and financial data platforms
“Full-stack engineer with deep Next.js App Router + TypeScript experience who has shipped and owned production features in a fashion/wardrobe/resale domain. Demonstrated measurable impact across the stack: +25% engagement, 30% faster load times, 40% fewer errors, plus durable Temporal workflows and Postgres analytics/query tuning for real-time dashboards.”
Senior Full-Stack Software Engineer specializing in FinTech payments and fraud systems
“Backend/data engineer with production experience building credit/fraud enrichment services and checkout pipelines on AWS (EKS + Lambda) using FastAPI, Kafka, Postgres, and Redis, with a strong focus on reliability patterns (timeouts/retries/circuit breakers) and observability. Has also built AWS Glue/PySpark ETL into S3/Redshift with schema evolution and data quality controls, and modernized legacy credit decisioning into Java/Node microservices with parallel-run parity validation and feature-flag rollouts.”
Director-level Digital Marketing & Media Leader specializing in performance growth
“Performance marketer with hands-on ownership of $50K+/month spend across Google Ads, Meta, TikTok, and SEO, including healthcare work for Orlando Epilepsy Center. Demonstrated measurable efficiency gains (Meta CPL $300→$90 and 3x ROI) through structured testing, segmentation, and analytics-driven optimization, plus creator strategy improvements on TikTok by shifting to local influencers.”
Engineering Manager specializing in enterprise SaaS, cloud analytics, and ML-driven systems
“Engineering leader who managed a 20-person cross-functional team building customer-driven software solutions, delivering a 50% reduction in simulation/test lifecycle and securing a long-term strategic SLA. Strong in scalable data ingestion architectures (FastAPI + Kafka + multiprocess workers), operational diagnostics (correlation IDs/centralized logging), and microservice decoupling for analytics/visualization. Active open-source contributor who shipped a NATS bug fix and improved SDK onboarding with automation that cut ramp time by 30%.”
Executive Software Engineering Leader specializing in Trading, Payments, and FinTech platforms
“Entrepreneurially minded operator with experience in trading-platform environments who prototyped a vector-database layer to generate contextual incident narratives and reduce MTTR/escalations. Also building a non-tech venture: luxury wine distribution into India and broader Asian markets, sourcing directly from wineries with a Master of Wine and planning tier-1 launch via restaurant-owner connections while navigating complex import duties and licensing.”
Director-level Cloud/Platform Engineer specializing in Kubernetes, AI systems, and distributed infrastructure
“Cloud/platform engineering lead with deep Azure AKS and SRE/observability expertise who migrated an EY enterprise SaaS platform from monolith to cloud-native microservices, supporting 10+ products and ~$200M annual revenue with ~99.9% uptime. Also building an open-source Kubernetes-native AI agent orchestration platform (AgScale) in Go with CRDs/controllers, policy/tool governance, token budgets, and production-grade monitoring.”
Mid-level AI Engineer specializing in LLM agents, evaluation pipelines, and microservices
Mid-level Full-Stack Python Engineer specializing in cloud-native payments and data pipelines
Mid-Level Software Engineer specializing in recommendation and ranking systems
Mid-Level Software Engineer specializing in FinTech, treasury systems, and compliance platforms
Senior Software Engineer specializing in cloud SaaS and distributed systems
Mid-level Software Engineer specializing in cloud and full-stack web development
Senior QA/Test Architect specializing in accessibility and test management
Mid-level Full-Stack Software Engineer specializing in microservices and event-driven systems
Mid-Level Software Engineer specializing in backend systems and AI automation
Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native microservices
Mid-level Software Engineer specializing in real-time streaming and analytics platforms
Mid-Level Software Engineer specializing in backend, distributed systems, and AI/ML platforms
Junior Data/Backend Engineer specializing in distributed systems and streaming pipelines
Senior Backend Software Engineer specializing in cloud-native platforms (AWS/Kubernetes)
Senior Full-Stack Engineer specializing in AWS, Ruby on Rails, and JavaScript