What are the responsibilities and job description for the Sr. Staff Software Engineer (Backend) position at Zscaler?
Our Engineering team built the world’s largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy.
We're looking for an experienced Sr. Staff Backend Engineer to join our team. This role is based in our San Jose, CA office (hybrid, 3 days a week in office). Reporting to the VP, you will:
- Integrate & manage distributed ML models and inference services while optimizing performance across hybrid environments.
- Architect & optimize APIs and micro services to enable seamless interaction between cloud-based and on-premise ML models and proxy software.
- Ensure security & compliance by implementing robust authentication, authorization, and encryption mechanisms for sensitive AI and customer data.
- Collaborate with ML engineers, DevOps, and security teams to streamline deployment, monitoring, and updates of system components deployed across multiple cloud environments and customer premises.
- Enhance Observability by building logging, monitoring, and tracing systems to ensure reliability across cloud and on-premise installations.
What We're Looking for (Minimum Qualifications):
- 8 years experience as a Backend Engineer or similar role, with a focus on designing, building, and scaling systems using distributed ML model inference.
- Deep understanding of optimizing latency, throughput, and resource utilization for AI workloads in distributed systems.
- Strong knowledge of data structures, algorithms, and software engineering principles.
- Proficiency in a backend programming language (e.g., Python, Java).
- Familiarity with cloud services (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
What Will Make You Stand Out (Preferred Qualifications):
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
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