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).”
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 Full-Stack Software Engineer specializing in Healthcare IT and FinTech
“Full stack engineer in the financial/thematic investing domain who built end-to-end applications on AWS. Notably redesigned a slow portfolio analytics workflow by offloading heavy computations to scheduled AWS Lambda jobs and caching results in DynamoDB (TTL), cutting API latency from ~5 seconds to under 300ms while supporting data-heavy daily market processing.”
Mid-level Full-Stack Developer specializing in cloud-native web apps and APIs
“Backend engineer with experience building microservice-based systems that integrate LLM workflows (code review suggestions, documentation generation, test scaffolding) using REST APIs, Celery/Redis, and OpenTelemetry for observability. Demonstrates hands-on database and performance optimization in PostgreSQL/SQLAlchemy (bulk inserts, lock mitigation, cursor-based pagination) plus multi-tenant data isolation via tenant-aware models, middleware scoping, and schema/row-level strategies.”
Director-level Engineering Leader specializing in AI and EdTech platforms
“Has been on the receiving end of a VC investment and took responsibility for significant parts of the diligence process, drawing parallels to hands-on work with security compliance and auditors. Approaches entrepreneurship and idea selection with a structured framework (leverage, resources/runway, passion) and a sustainability-first mindset around risk and personal/family well-being.”
Junior Security Software Engineer specializing in cloud security and FinTech
“Built Multipass at Gemini, a Flask/React system that provisioned AWS access across 98 accounts for 400+ engineers, with a strong focus on reliability, observability, and hardening brittle auth flows. Earlier at Deloitte, turned a Word-doc HR onboarding SOP for CVS Health into 45 Workday integrations using XML/XSLT, cutting manual work by 38% and improving data accuracy by 12%.”
Senior Full-Stack Software Engineer specializing in Healthcare IT and FinTech
“Backend/platform engineer building HIPAA-compliant, real-time healthcare systems: owned a Python/Flask API layer for an AI-enabled patient engagement and risk scoring service, implemented PHI-safe logging and cross-service auditability, and delivered Kubernetes microservices via ArgoCD GitOps. Also has experience with Kafka streaming pipelines and hybrid cloud-to-on-prem migrations in regulated healthcare/fintech environments.”
Mid-level Software Engineer specializing in Kubernetes platform engineering and FinTech
“Platform/infrastructure-focused engineer with hands-on experience automating AWS EKS upgrades in Python, building observability around logs/metrics/SLOs, and migrating Terraform delivery from CodePipeline to Atlantis. They describe shipping automation that handled 140 resources across 50+ Terraform files ahead of schedule and debugging a Karpenter/CoreDNS regression in Kubernetes by tracing it from regional traffic spikes to a missing local DNS cache configuration.”
Senior AI/ML Engineer specializing in Generative AI, LLMs, and production ML systems
“ML/AI engineer with hands-on ownership of both classical ML and GenAI systems in production. They built an end-to-end churn prediction service on AWS and also shipped RAG-based document search/summarization features, with clear experience in monitoring, hallucination reduction, cost/latency optimization, and creating shared Python/LLM infrastructure used across teams.”
Mid-level Backend Engineer specializing in cloud migrations and scalable microservices
Mid-level Python Full-Stack Developer specializing in AI-driven cloud applications
Mid-level AI/ML Engineer specializing in NLP/LLMs and real-time data pipelines
Mid-level Software Engineer specializing in cloud-native microservices, MLOps, and GenAI
Senior Full-Stack Engineer specializing in Python, Kubernetes, and Kafka streaming
Mid-Level Software Engineer specializing in FinTech and AI-driven automation
Senior Product & Software Leader specializing in cloud platforms, analytics, and enterprise SaaS
Mid-level Cybersecurity Consultant specializing in cloud and container security
Senior Software Engineer specializing in cloud-native SaaS and platform engineering
Mid-level Full-Stack Java Developer specializing in FinTech trading platforms
Mid-level Python Full-Stack Developer specializing in AI-driven cloud-native applications
Senior Software Engineer specializing in AWS data platforms, search, and ML matching
Mid-level Software Engineer specializing in distributed FinTech systems
Mid-level Software Developer specializing in cloud-native data platforms and MLOps
Mid-level Java Full-Stack Developer specializing in enterprise SaaS platforms