Pre-screened and vetted.
Mid-level Software Engineer specializing in LLM agents and full-stack systems
“At Esri, the candidate is building a production LLM-powered WebGIS AI framework that embeds an AI assistant into web maps and routes natural-language requests into ArcGIS JavaScript SDK functions via a LangGraph-orchestrated, multi-agent system. They emphasize production reliability and scale (strict tool calling/JSON, live schema validation, query guardrails) and rigorous evaluation/observability using LangSmith, offline prompt datasets, and latency/tool-call accuracy tracking.”
Senior Full-Stack Software Engineer specializing in cloud-native microservices and web apps
“Backend-focused engineer building customer support/order-tracking platforms with Java 17/Spring Boot microservices and a React/TypeScript frontend. Deep experience running event-driven systems on Kubernetes (Kafka, Redis, MySQL) with strong observability (Prometheus/Grafana/Splunk), SLOs, and safe deployment practices (feature flags, canaries). Also built an internal monitoring/debugging dashboard that consolidated metrics and logs for on-call engineers and was adopted by other teams to speed incident response.”
Mid-level Software Engineer specializing in FinTech and scalable microservices
“Backend/platform engineer focused on high-traffic financial systems, owning real-time event-driven ingestion and Kafka streaming pipelines using Python/FastAPI, Avro schemas, and AWS services. Has hands-on Kubernetes (EKS) and GitOps/CI-CD experience (ArgoCD/Jenkins) and supported large-scale migrations from legacy VMs to containerized microservices with zero/low-downtime cutovers.”
Senior Full-Stack Java Engineer specializing in cloud-native microservices
“Backend/platform engineer who owned high-volume Java/Spring Boot microservices on AWS (Kafka + RDS/DynamoDB) and has hands-on experience debugging complex production latency incidents across DB, JVM/GC, and async consumers. Also shipped applied AI features for ops, including an LLM-powered log analysis assistant and an incident-response agent with strong safety guardrails (schema-validated tool use, retries/backoff, and human-in-the-loop escalation).”
Senior Full-Stack Developer specializing in cloud-native microservices
“Bank of America engineer/product owner who built a real-time transaction insights and spending categorization platform using React/TypeScript and Spring Boot microservices with Kafka. Deep experience in event-driven architectures, performance tuning at peak banking loads, and reliability patterns (SLOs, observability, feature flags, DLQs). Also created an internal monitoring/alerting tool adopted across engineering and ops, cutting incident response time by 40%+.”
Intern Autonomous Driving Software Engineer specializing in ADAS controls and embedded systems
“Embedded control and systems-integration engineer with hands-on experience taking control logic from Simulink simulation through embedded implementation and rigorous MIL/SIL/HIL plus vehicle testing. Has built and tuned nonlinear/decentralized MPC for autonomous driving behaviors (obstacle avoidance, overtaking, multi-agent coordination) and has CI/CD experience (Jenkins/Git); currently ramping into ROS2 with Python/C++.”
Director-level Software Engineering Leader specializing in AI platforms and full-stack cloud systems
“Engineering leader with BCG consulting background who has built roadmaps and scaled AI and data platforms for pharma and manufacturing clients. Led architecture shifts (Django monolith to event-driven microservices) for high-volume IoT SaaS products, improving deployment speed and enabling zero-downtime releases. Also established a near-shore engineering team in São Paulo and has managed distributed teams across multiple countries, leveraging strong stakeholder communication and a prior professional acting background for storytelling.”
Mid-Level Full-Stack Software Engineer specializing in Java, Spring Boot, and cloud microservices
“Frontend-focused JavaScript engineer who built Collabsync with real-time chat and file sharing using Socket.io, emphasizing reusable components, clear event contracts, and performance (minimizing React re-renders). Has experience at PwC building internal React/Angular dashboards and documenting insurance APIs, plus a contract role at Capital One delivering in fast-changing, loosely defined environments.”
Intern Data Scientist / Software Engineer specializing in ML, computer vision, and cloud
Mid-level Software Engineer specializing in cloud-native microservices and real-time data pipelines
Intern Software Engineer specializing in cloud data platforms and full-stack systems
Mid-Level Full-Stack Software Engineer specializing in microservices and fraud detection
Junior Software Engineer specializing in full-stack development and data engineering
Senior Full-Stack Java Engineer specializing in cloud-native microservices and FinTech integrations
Senior Software Engineer specializing in web and mobile applications
Mid-Level Software Development Engineer specializing in cloud-native backend systems
Mid-level Machine Learning Engineer specializing in MLOps and applied AI
Senior Full-Stack Engineer specializing in Python, cloud-native systems, and LLM applications
Mid-Level Full-Stack Software Engineer specializing in microservices and cloud
Mid-Level Full-Stack Software Engineer specializing in FinTech and EdTech
Senior Software Engineer specializing in backend microservices and AI/ML integrations