Sr Phlebotomist - Willmette, IL

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior DevOps Engineer to join our team. This is a Hybrid role, reporting to the Senior Manager, Software Development Engineering in the Exposure Management & Security Operations department. As a Senior DevOps Engineer for the SecOps product group at Zscaler, you will own and evolve the cloud infrastructure, reliability, and deployment ecosystem across multiple SaaS cybersecurity products. In this position, you will drive a major impact on production maturity, scalability, developer productivity, and product integration as the organization continues to grow. What you’ll do (Role Expectations) Own and improve cloud infrastructure for scalable, reliable SaaS cybersecurity products Build and maintain IaC using Terraform and Terragrunt Manage production AWS EKS clusters, Kubernetes workloads, and cloud services Develop and optimize CI/CD pipelines with GitHub Actions and GitLab Partner with

Sr. Product Manager, Mobile SDK — 9-Month Fixed-Term The team + the role Pendo's mobile SDK is embedded in hundreds of enterprise applications — native iOS and Android, plus React Native, Flutter, .NET MAUI, and Ionic/Capacitor — delivering analytics, in-app guides, and session replay to over 110M monthly active users. It is a developer-integrated product at an inflection point: hybrid framework parity, cross-surface guide delivery, and version fragmentation across an installed base that cannot be forced to upgrade are all live, unsolved problems with revenue implications. We're looking for a Sr. Product Manager to own Pendo Mobile end-to-end for nine months while our current PM is on maternity leave. This is a full mobile role with no secondary product area. You'll own the SDK roadmap, run live enterprise escalations, and make the architectural and commercial tradeoffs that protect at-risk revenue. This role requires SDK product experience specifically — not mobile app PM experience. The distinction matters: you're shipping software that other companies' engineering teams integrate into their own production applications, on their release cycles, with their performance budgets, and with their users affected when something goes wrong. We need someone useful in week two, not month two. This is a full-time Pendo employee position with full benefits for the nine-month fixed-term. This role is based in Herzliya, Israel, in-office 2–3 days per week. What this looks like day-to-day Own the mobile SDK roadmap end-to-end: release planning, versioning and deprecation strategy, and driving version adoption across a fragmented installed base — a shipped fix isn't a delivered fix until customers upgrade. Bring Mobile into Pendo's AI surface: from AI tagging to agentic installation, AI guide building extensions, and exposing mobile behavioral data through Pendo's MCP so customers' own agents can use it. Run the escalation motion: own the weekly customer status update, triage sev-

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Sr. Staff Backend Engineer to join our team. This is a Hybrid (Ramat Gan) role, reporting to the Manager, Software Engineering in the Exposure Management & Security Operations department. Avalor, now part of Zscaler, powers the data foundation behind Zscaler's Security Operations platform, ingesting, unifying, and contextualizing data from hundreds of security and business tools to power security modules that deliver actionable insights and measurable risk reduction to our customers. In this role, you'll own complex backend systems that sit at the heart of our data platform, designing and building services that ingest, process, and move massive amounts of data reliably and at scale for enterprise customers worldwide. What you’ll do (Role Expectations) Developing and maintaining high-quality, scalable backend services within a microservices architecture using Java/Spring Boot

About the Team This team builds an AI-native predictive analytics platform that embeds ML and AI-driven insights directly into production Go-To-Market workflows — powering real-time decisions at scale. The team owns the full stack from distributed data pipelines and backend services to ML and AI-powered capabilities that ship directly to customers. We are building toward a model where AI components are first-class runtime dependencies, not bolt-on features. Agentic AI development is a core part of how we increase engineering velocity and deliver customer value. This is a team that ships daily, iterates constantly, and treats speed as a capability to be deliberately improved. The Role This is a high-ownership, builder-first Sr. Software Engineer role. You will design, build, and ship AI-integrated data systems from concept through production — owning outcomes end-to-end, including deployment, monitoring, cost, and business impact. We are seeking a candidate who views AI tooling as a fundamental force multiplier in their daily engineering process. This position is central to our transition into an AI-native function, requiring an individual capable of making decisive, pragmatic architectural choices on reversible matters to maintain momentum. We need an experienced builder of production-grade, data-centric systems who is obsessed with delivering customer value and possesses a deep, curious enthusiasm for the transformative potential of AI. What You Will Build AI-Native Systems Development. Design, build, and own scalable data and ML pipelines, backend services, and AI-powered capabilities that are part of the platform's production decision-making layer. AI and ML components are runtime dependencies in this role — not research projects or experiments. Candidates will have strong back end and data engineering skills to thrive in this space. Daily Shipping. Decompose complex work into safely mergeable increments and ship them daily. Treat large, multi-day pull requ