Senior Staff Engineer, Zscaler (6-Month Opportunity)

Control Risks

17h•$100,000 - $110,000

About The Position

We are seeking a highly experienced Senior or Staff Engineer to support a large enterprise client in the implementation and rollout of Zscaler within their environment. This role will combine deep expertise in network security architecture, enterprise-wide implementation, and, hands-on experience in secure software development practices, particularly in the context of emerging AI-assisted coding tools. The ideal candidate will serve as a trusted technical advisor as well as driving and implementing Zscaler, informing both infrastructure security decisions and secure development practices as the client modernizes their security stack and development workflows. This position will be for a 6-month engagement supporting a client as they implement Zscaler across their teams.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field.
8–12+ years of experience in network security, application security, or security engineering roles.
Proven experience implementing Zscaler (ZIA and/or ZPA) in enterprise environments.
Strong understanding of Zero Trust Architecture and modern secure access strategies.
Experience with secure software development lifecycle (SSDLC) and application security best practices.
Hands-on experience conducting code reviews with a security lens.
Familiarity with AI-assisted development tools (e.g., Claude Code, GitHub Copilot) and associated security risks.
Strong communication skills with the ability to engage across engineering, security, and leadership teams.

Responsibilities

Lead the design, implementation, and optimization of Zscaler solutions (ZIA, ZPA) across a complex enterprise environment.
Act as a technical SME for secure network architecture, including zero trust principles and secure access transformation.
Partner with infrastructure, security, and application teams to ensure seamless integration of Zscaler into existing systems and workflows.
Provide hands-on support during rollout, including configuration, troubleshooting, and performance tuning.
Advise engineering teams on secure coding practices, with a focus on risks introduced by AI-assisted development tools (e.g., code generation, copilots).
Conduct and support AI-driven code reviews, identifying vulnerabilities, insecure patterns, and data exposure risks.
Develop security guardrails, standards, and best practices for AI-enabled software development.
Translate security and technical concepts into clear guidance for both technical and non-technical stakeholders.
Support compliance and risk mitigation efforts related to application security and enterprise security controls.