Pre-screened and vetted.
Mid-level Full-Stack Software Engineer specializing in cloud-native data platforms
Senior Software Engineer specializing in backend systems and AI-driven automation
Intern Full-Stack Software Engineer specializing in cloud microservices and AI applications
Senior Software Engineer specializing in cloud-native backend, ETL, and AI/ML on AWS
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level Full-Stack Software Engineer specializing in FinTech and cloud-native systems
Mid-level Full-Stack Developer specializing in AWS, Python/FastAPI, and React
Mid-level Backend Engineer specializing in distributed systems and FinTech payments
Junior Backend Engineer specializing in cloud-native systems and observability
Senior Data Engineer specializing in Cloud Data Platforms and Generative AI
Senior Python Backend Engineer specializing in Django, APIs, and AI automation
Senior Full-Stack Developer specializing in Python, AWS, and data/ETL systems
Senior Backend Engineer specializing in cloud-native microservices and secure APIs
Principal Data Scientist specializing in LLMs, RAG, and enterprise AI products
Mid-Level Full-Stack Software Engineer specializing in cloud-native APIs and compliance
“Full-stack/backend engineer with healthcare and enterprise experience: built and secured AWS-hosted services for a clinical EHR product that redacts/transforms hospital patient records for pharma customers (e.g., AstraZeneca, Johnson & Johnson). At Cisco, led an incremental Ruby-to-Python/Django migration for a compliance backend, and has deep multi-tenant security experience using Postgres RLS tied to JWT plus DLQ patterns to harden data pipelines.”
Executive AI Architect specializing in enterprise cloud and FinTech solutions
“Candidate brings an operator-to-founder profile with leadership experience in IT and Business Systems and a strong grasp of how ideas become venture-backable products. They speak fluently about startup evaluation criteria such as TAM, technical defensibility, speed to scale, and AI differentiation, and appear especially motivated by building solutions end-to-end in startup or venture studio environments.”
Intern Software Engineer specializing in C++/Python systems and automation
“Software engineer with experience delivering customer-facing solutions across consulting and engineering contexts (Deloitte, Coherent), including a finance reconciliation system and a firmware validation tool integrated into existing test infrastructure. Demonstrates strong on-site/customer collaboration, rapid iteration, and high-pressure debugging (CARLA demo fix), with measurable impact and a focus on adoption through familiar workflows and clear documentation.”
Staff Full-Stack Engineer specializing in AI platforms and infrastructure automation
“Backend/full-stack engineer building complex internal platforms and customer-facing demos at the intersection of infrastructure and product. Shipped a no-code Product Lifecycle Manager for manufacturing (3 manufacturers, 1000+ evolving tests) using AWS S3/SQS ingestion and extensible Postgres (EAV+JSONB) with end-to-end traceability. Also built a FastAPI-based company data intelligence platform with Okta-secured RBAC and an LLM/MCP layer for ChatGPT-like analytics over enterprise data sources.”
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
“Software engineer with strong compliance-domain experience who built a customer-facing compliance and reporting dashboard using React/TypeScript with Spring Boot microservices. Demonstrates mature production engineering practices—contract-first APIs, event-driven architecture (Kafka/RabbitMQ), caching (Redis), and robust CI/CD + observability (Prometheus/Grafana/ELK)—and also created a Python-based audit automation tool adopted into the standard release process.”
Senior Software Engineer specializing in identity, cloud-native microservices, and reactive web apps
“Product-focused full-stack engineer with Walmart and Dell experience who built and shipped a real-time engagement dashboard end-to-end (Kafka Streams, Spring Boot, React/TypeScript/D3) used daily by business teams, moving them from next-day reports to real-time decisioning. Strong in performance/reliability (Redis caching cut latency ~40%, 90%+ test coverage, Prometheus/CloudWatch monitoring) and production operations on AWS/EKS including handling a cascading failure from a memory leak with zero-downtime rollback and redeploy.”
Senior Cloud/DevOps & Site Reliability Engineer specializing in multi-cloud Kubernetes platforms
“Infrastructure/Unix engineer with production PowerHA/HACMP operations experience (resource groups, service IPs, shared storage) who has executed planned failovers and recovered a real outage involving a SAN driver crash and manual Oracle recovery (restored service in ~15 minutes with zero data loss). Also supports cloud DevOps practices including CI/CD security scanning (SonarQube, Snyk), container registry/versioning, and Terraform Cloud-based IaC across AWS and GCP with PR/Jenkins-driven plan-and-apply workflows.”