Software Engineer III, Agentic Systems and Production Safety

Job description

Write product or system development code. Build industry-first advanced logging and distributed tracing systems that ensure autonomous workflows and AI agents are transparent and compliant with strict regulatory standards. Design scalable technical architectures and produce well-tested code (primarily in Go, C++, or Java). Leverage AI-powered coding assistants to accelerate routine development, empowering you to focus your bandwidth on high-level system design and complex problem-solving. Design data pipelines, monitoring tools, and enforcement systems that enforce least-privilege access and significantly reduce the risk of manual operations in production environments. Partner with Site Reliability Engineers (SREs) and developers across the organization to replace operational toil with self-healing automation. Minimum Qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. Experience in Backend software development and Data Analysis. Experience in C++, Java or Go. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging. 2 years of experience with data structures and algorithms in either an academic or industry setting. Proficiency in code and system health, diagnosis and resolution, and software test engineering. Understanding of the Generative AI/Large Language Model (LLM) landscape, including model evaluations, model capabilities, prompt engineering, fine-tuning, and agentic architectures.