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Staff Software Engineer, Streaming Foundations
Builds and scales event-streaming infrastructure and data pipelines for Auth0’s platform, using Go/Java and Kafka to support high-reliability, low-latency messaging and analytics.
Senior Software Engineer
Build and scale real-time, distributed betting and risk-management systems using C#, cloud-native tools, and microservices to power sportsbook operators.
Software Engineer III
Build and scale real-time, distributed sports-betting systems using modern cloud tech, focusing on risk management and high-availability architectures.
Expert Backend Engineer
Build and maintain large-scale distributed backend systems in Golang to power Wiz’s cloud security platform, handling billions of daily file scans across multi-cloud environments.
Backend Engineer
Builds and maintains large-scale distributed backend systems for Wiz’s AI-powered cybersecurity platform, focusing on cloud security, scalability, and cross-team collaboration.
Manager, Software Engineering
We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them…
Software Engineer, Google Pay Mobile Development
Build cross-platform mobile shopping experiences for Google Pay using Flutter/Dart, integrating AI/ML models to enhance conversational AI and GenAI features for users.
Senior Site Reliability Engineer
Senior SRE troubleshoots production issues, optimizes system performance (PostgreSQL, caching), and maintains Kubernetes environments for a high-traffic iGaming/Fintech/Crypto platform. Focuses on observability, incident resolution, and internal tooling in Go.
Golang Developer- 5 yrs- Phoenix, AZ - Onsite-Locals only
Develops high-performance REST APIs and backend services in Go, focusing on scalable systems with Kafka integration and database interactions for high-volume clients in an Agile environment.
AIML - Backend Engineer, Data Generation & Verification
Builds and maintains backend systems for Apple’s AI/ML data annotation platform, focusing on quality control, scoring, and verification pipelines to ensure high-quality datasets for training ML models across Apple’s products (e.g., Siri, Photos, Vision Pro).
