Overview
Owns Features End-to-End: Designs, develops, tests, deploys, and operates production-grade features and services. Drives delivery from requirements through implementation, validation, monitoring, and post-release support. Builds Scalable Distributed Systems: Develops highly available, secure, and performant backend services using C#/.NET and Azure. Solves challenges related to scale, reliability, latency, resiliency, and distributed architectures. Drives Operational Excellence: Participates in on-call rotations, investigates production incidents, performs root cause analysis, and implements improvements that enhance service reliability, availability, and customer experience. Leverages AI and ML Technologies: Applies AI/ML technologies to product experiences and engineering workflows. Builds and evaluates AI-powered solutions, defines quality metrics and evals, and uses AI-assisted develo
Full job description
Full Job Description
Owns Features End-to-End: Designs, develops, tests, deploys, and operates production-grade features and services. Drives delivery from requirements through implementation, validation, monitoring, and post-release support. Builds Scalable Distributed Systems: Develops highly available, secure, and performant backend services using C#/.NET and Azure. Solves challenges related to scale, reliability, latency, resiliency, and distributed architectures. Drives Operational Excellence: Participates in on-call rotations, investigates production incidents, performs root cause analysis, and implements improvements that enhance service reliability, availability, and customer experience. Leverages AI and ML Technologies: Applies AI/ML technologies to product experiences and engineering workflows. Builds and evaluates AI-powered solutions, defines quality metrics and evals, and uses AI-assisted development tools to improve engineering velocity and effectiveness. Instruments, Measures, and Optimizes: Creates dashboards, telemetry, and monitoring solutions to track system health, customer impact, performance, and business outcomes. Uses data-driven insights to identify opportunities and drive continuous improvements. Collaborates and Executes in a Fast-Paced Environment: Partners with engineering, product, and data science teams in an agile development model. Contributes to technical design reviews, code reviews, and engineering best practices while maintaining a strong bias for execution and customer impact. Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python Bachelor's Degree in Computer Science, or related technical field AND 1+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Rust, or Python. OR Master's Degree in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Rust, or Python. OR equivalent experience. Experience building and operating large-scale distributed systems and cloud services using C#, .NET, Azure, or similar technologies. Experience with AI/ML technologies, LLM-based applications, evaluation frameworks, experimentation, or AI-assisted software development tools. Experience with telemetry, monitoring, dashboards, live-site operations, and participation in on-call rotations for production services.
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