Pre-screened and vetted.
Mid-level Software Engineer specializing in cloud, backend, and healthcare systems
“Full-stack engineer with hands-on ownership of a customer-facing advanced performance metrics experience in the Amazon S3 console, spanning React UI, Python/Node services, Redshift/RDS data access, and AWS IaC/CI-CD with CloudWatch/Route53 operational readiness. Demonstrates strong production instincts around resilience (partial failures, multi-region inconsistencies), progressive rollouts/feature flags, and reliable ETL/integration patterns (idempotency, backfills, reconciliation).”
Senior Software Engineer specializing in scalable distributed systems and API integrations
“Backend engineer with production experience on an AWS Lambda-based payment service (manually deployed) and hands-on modernization work using parallel-run + diffing to prove parity before cutover. Has practical production troubleshooting experience for batch/pipeline incidents using monitoring/logs and emphasizes idempotent rerunnable jobs for safe recovery; also improved GraphQL performance by refactoring overly broad queries.”
Mid-Level Software Engineer specializing in full-stack development and AWS
“Backend-focused Python engineer who built an end-to-end personalized chatbot service integrating Amazon Redshift context retrieval with Amazon Bedrock, including prompt construction and production-grade reliability controls. Strong platform experience deploying containerized services to Kubernetes with GitOps/ArgoCD, plus hands-on Kafka streaming and phased infrastructure migration execution.”
Mid-level AI/ML Engineer specializing in LLM agents and RAG systems
“LLM/agentic systems builder at Verizon who deployed a LangGraph-orchestrated multi-agent ticket-automation platform with RAG (FAISS) to replace brittle rule-based bots. Improved routing correctness by ~30–40%, hit ~300ms latency targets via model routing, and reduced ops workload by ~60% through tight iteration with non-technical stakeholders and strong testing/observability practices.”
Mid-level Backend Software Engineer specializing in Python APIs and payment systems
“Backend/ML systems engineer with Stripe payments experience who built an asynchronous processing upgrade handling millions of API requests, cutting peak latency ~20–25% while preserving strict financial consistency via idempotency-safe retries and robust validation/fallbacks. Also built scalable ETL pipelines for messy CSV/Excel/API data with strong observability (structured logging/monitoring) and reliability mechanisms.”
Mid-level Software Engineer specializing in cloud-native systems and Android development
“Application-focused software engineer with experience at Amazon and Motorola shipping production systems ranging from developer monitoring/on-call tooling (Alcazar, ~40% MTTR improvement) to consumer AI features used by 100K+ users. Currently building an AI/ML-driven platform with a Python/FastAPI backend on AWS (ECS/RDS/S3) and has handled real production latency/scaling incidents end-to-end.”
Intern Full-Stack Software Engineer specializing in test analytics platforms
“Software engineer intern at Nutanix who independently shipped and maintained an internal smoke-test/failure-analysis dashboard, integrating failure data from multiple upstream systems (e.g., Jira, Jenkins, CircleCI) via REST APIs. Also has prior data-science experience building Postgres-based asset management analytics with automated reporting and indexing for faster time-series retrieval.”
Junior Software Engineer specializing in cybersecurity and cloud-native AI
“Backend-focused full-stack engineer who built an MVP at Neon AI for PhD students: a FastAPI backend integrating multiple cloud and local LLMs plus a RAG pipeline with session/identity management, designed to be modular and extensible across domains. Also has VMware experience debugging production issues and executing safe, API-compatible refactors with staged rollouts and strong security controls.”
Mid-level Software Engineer specializing in backend and distributed systems
“Backend engineer who has owned large-scale systems from design through rollout, including a Dell rearchitecture that unified two regional platforms and delivered major latency gains while scaling the effort from 6 to 150 contributors. Also built an ESG analysis product in an ambiguous startup environment using AWS Lambda, Bedrock/Claude, Flask, and custom data pipelines, showing a blend of distributed systems depth and practical AI integration.”
Mid-Level Java Full-Stack Developer specializing in Spring Boot, Angular, and AWS
Software Engineering Intern specializing in full-stack systems and AI-driven products
Junior Site Reliability Engineer specializing in cloud monitoring and automation
Mid-Level Software Engineer specializing in distributed systems and cloud data pipelines
Senior Full-Stack Engineer specializing in Python, Kubernetes, and Kafka streaming
Intern Software Engineer specializing in backend automation and web/mobile development
Mid-level Creative Technologist specializing in XR and interactive prototyping
Mid-level computational biologist specializing in AI, data systems, and healthcare analytics
Engineering Manager & Backend Architect specializing in AWS, streaming data, and AI/ML
Software Engineer specializing in full-stack and supply chain platforms
Mid-Level Software Developer specializing in full-stack development and databases
Director-level Engineering Leader specializing in SaaS platforms and distributed systems