Senior Staff Software Development Engineer

🔥 11 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $180k - $225k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Zscaler

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2008

🔒 Cybersecurity

☁️ SaaS

🏢 Enterprise

💰 Secondary Market on 2017-11

Cybersecurity • SaaS • Enterprise

Zscaler is a leading provider of cloud-based cybersecurity solutions, specializing in Zero Trust architecture. The company enhances security and connectivity for organizations by enabling seamless, secure access to applications and data across various environments, including the cloud, on-premises data centers, and IoT systems. With proven ROI and significant reductions in cybersecurity risks, Zscaler empowers enterprises to protect their digital resources while optimizing operational costs.

📋 Description

• Partner with business leaders and product owners from discovery through delivery to map workflows, identify high-value AI opportunities, shape roadmaps, and advise on technical feasibility, cost, and risk • Design and ship secure, production-grade AI solutions across retrieval-augmented generation, structured data querying, unstructured data mining, and agentic workflows, integrating them with core systems of record • Establish monitoring and evaluation frameworks, implement least-privilege access, and manage ROI, cost attribution, and support plans for deployments • Expand reusable building blocks, reference architectures, skills, and engineering playbooks while mentoring team members

🎯 Requirements

• 6+ years of professional software engineering experience, including at least 3 years working directly on AI and/or ML projects • Hands-on experience across modern AI architecture components, including retrieval methods, reusable skill development, agentic orchestration, Model Context Protocol (MCP) integration, and agent-to-agent (A2A) frameworks • Proven track record of direct collaboration with business stakeholders to run discovery, translate ambiguous needs into actionable plans, and communicate trade-offs, risk, cost, performance, and architecture • Demonstrated experience securing AI systems and underlying data, including least-privilege access controls and defending against prompt injection, data leakage, and non-compliant outputs • Strong engineering foundation proficiency in Python, with experience deploying AI at scale on major cloud platforms (AWS, GCP, Azure), integrating across APIs, relational/vector databases, and enterprise systems, and monitoring production drift and failure modes • Familiarity with memory management and long-term context architectures for AI agents • Direct experience with graph-based knowledge systems • Experience building automated evaluation frameworks such as LLM-as-judge methodologies or regression testing at-scale for AI quality

🏖️ Benefits

• Various health plans • Time off plans for vacation and sick time • Parental leave options • Retirement options • Education reimbursement • In-office perks