SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Zscaler is seeking a Staff DevOps / Platform Engineer to join the Product Operations department as an individual contributor. This hybrid role (3 days per week on-site in Mohali) reports to the Director, Product Revenue.
You will own the full DevOps, CI/CD, and infrastructure lifecycle for a business-critical internal platform. Your responsibilities include:
• Manage DevOps, CI/CD pipelines, deployments, monitoring, logging, production support, and operational reliability for an existing business-critical internal platform
• Design and improve AWS infrastructure using Terraform, implementing secure access controls, secrets management, and infrastructure hygiene best practices
• Ensure weekly releases are safe and reliable through comprehensive testing, rollback planning, monitoring, post-release validation, and continuous process improvements
• Enhance code quality, performance, documentation, test coverage, and platform maintainability across APIs, workflows, dashboards, and integrations
• Leverage AI-assisted coding tools to accelerate development, debugging, automation, and testing while establishing practical guardrails for safe AI-based development practices
• Partner with Product Operations stakeholders to translate platform needs into reliable technical execution
Zscaler is a NASDAQ-listed company pioneering the Zero Trust Exchange platform, protecting thousands of customers through a distributed cloud security architecture spanning 200+ global data centers. The company is building an AI-native enterprise where human potential is amplified by machine intelligence.
You should thrive in ambiguity, act with ownership mentality, solve hard problems with focus, collaborate at high trust, and maintain a growth mindset. The role emphasizes practical AI-assisted development workflows and operational excellence.
**Requirements:**
• 5–6 years of experience in DevOps, platform engineering, infrastructure, SRE, software engineering, or related role
• Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions within your functional domain
• Strong hands-on experience with AWS, Terraform, CI/CD, monitoring, deployments, logging, and production support
• Practical full-stack development experience with Python, Node.js, Java, TypeScript, JavaScript, React, or similar technologies
• Demonstrated experience improving release reliability, application performance, code hygiene, documentation, test coverage, and operational stability
**Preferred Qualifications:**
• Experience implementing AI-assisted engineering workflows, autonomous agents, or LLM-powered platform automation to accelerate developer productivity and system reliability
• Experience with Docker, Kubernetes/EKS/ECS, Lambda, CloudWatch, RDS, S3, or API Gateway
• Experience integrating with Jira, Salesforce, Slack, Confluence, Tableau, Power BI, or similar tools
