Lead Cloud Ops Engineer

About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Role We are looking for a Sr. Production Engineer to join our team. This role is available as a hybrid opportunity 3 days a week in San Jose, CA or Remote reporting to Production Engineering in the Cloud Infrastructure & Operations department. Join Zscaler to be a force multiplier for the reliability of a global platform processing 200+ billion transactions daily across tens of millions of enterprise users.   In this role, you will provide the technical vision and hands-on execution to drive an "automation-first" culture across the company. By maturing our observability and architectural standards, you will directly reduce our Mean Time to Mitigate (MTTM) and shape the scalability of our globally distributed, multi-cloud infrastructure. What you’ll do (Role Expectations) * Implement highly available, scalable infrastructure across AWS, GCP, and bare-metal environments * Drive an "automation-first" culture by writing code (Python/Go) to eliminate manual toil and build self-healing systems * Implement and maintain sophisticated observability (Prometheus, Grafana, OpenTelemetry), define SLIs/SLOs, and establish error budgets * Act as a lead Incident Commander (TDO on-call), develop response playbooks, and conduct deep-dive post-incident analyses * Partner with Engineering and partner teams to conduct operability reviews Who You Are (Success Profile) * You act like an owner with a bias for action and integrity. * You are a pragmatic builder obsessed with creating, iterating, and shipping. * You champion simplicity by distilling complex problems into clear, actionable plans. * You are data-driven, valuing evidence over assumptions. * You think at scale, building solutions and processes built to last a high-growth global organization. What We’re Looking for (Minimum Qualifications) * 3-5+ years of experience managing reliability, scalability, and availability for large-scale production services * Deep expertise in programming (e.g., Python, Go, or C/C++) * Strong background in networking protocols, Linux/RHEL systems, and distributed architecture * Experience in high-stakes incident management and participation in a 24/7 on-call rotation * Proficiency in leveraging ITIL frameworks and incident data to drive service maturity through systematic problem management and technical operability reviews What Will Make You Stand Out (Preferred Qualifications) * Extensive experience with public cloud (AWS, Azure, GCP) and Infrastructure-as-Code (Ansible, Terraform, Helm, Temporal) * Experience with chaos engineering and disaster recovery planning at scale * Expertise in global routing (BGP) and traffic tunneling (GRE, IPSec) with a deep understanding of L7 proxy architectures (HAProxy), DNS at scale, and OS networking stack internals #LI-Hybrid #LI-RT101 #LI-DY1 Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $152,000—$190,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: * Various health plans * Time off plans for vacation and sick time * Parental leave options * Retirement options * Education reimbursement * In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. For over 20 years, Smartsheet has helped people and teams achieve–well, anything. As the Intelligent Work Management Platform, we are redefining the velocity of work by uniting people, data, and AI to move businesses forward. We don’t just automate tasks; we eliminate execution silos and turn strategic vision into measurable enterprise impact. We’re creating a space to think big and take action, because when challenge meets purpose and AI-powered execution meets human ingenuity, that’s magic at work. It’s what we show up for every day, helping organizations not just keep up with change, but thrive because of it. Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Manager AI/ML Ops Engineering, who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. You Will: * Focus on team members and coaching them to play to their strengths, grow and deliver peak performance * Lead and mentor a team of AI/ML Ops engineers and operations specialists. * Define and govern solutions for AI/ML operations, ensuring scalability, cost-efficiency, and reliability * Develop and maintain standardized AI/MLOps workflows, including CI/CD/CT (Continuous Integration/Continuous Delivery/Continuous Training) pipelines * Delegate and harness the aggregate strength of your team. * Focuses on individual and team needs to foster a positive culture consistent with Smartsheet values. * Actively helps individuals and the overall team to set priorities and focus on delivery of commitments * Review team's designs and provide feedback on deployment safety, resilience, scale, performance, and security * Lead and facilitate cross-team interactions, communication, and dependencies * Ensure all changes are fully tested before being deployed * Ensure deployment plans are well-considered and include appropriate scalability and load tests * Work with stakeholders to align AI projects with business strategies. * Ensure all AI/ML Ops solutions adhere to regulatory compliance, security, and ethical guidelines * Drive Engineering and Operational excellence initiatives * Perform other duties as assigned You Have: * Enterprise SaaS software solutions with high availability and scalability * Experience building teams through recruiting and retention * Experience in Leading and Mentoring a team of ML engineers and operations specialists. * Experience in building and maintaining AI/ML Ops platform systems ensuring scalability, reliability, efficiency and security * AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph * Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration * Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable * Programming languages like Python and SQL * Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting * Solution Cost Optimisations and design to cost * Legally eligible to work in India on an ongoing basis     Get to Know Us: At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together. Equal Opportunity Employer: Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.  If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.   #LI-Remote