
Zscaler · Remote - USA; San Jose
About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterpri...
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)
budgets
Who You Are (Success Profile)
What We’re Looking for (Minimum Qualifications)
daily workflows and augment problem-solving
technical operability reviews
What Will Make You Stand Out (Preferred Qualifications)
(HAProxy), DNS at scale, and OS networking stack internals
#LI-Hybrid
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
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:
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.
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. The Production Engineering organization at Pinterest is accountable for ensuring overall Pinterest availability as well as enhancing Engineering teams' capability to design, build and operate robust systems at scale. Pinterest's applications and infrastructure handle billions of monthly page views and petabytes of data as Pinterest continues to grow and scale. As a Senior Production Engineer on Solutions Engineering, you will design and build AI agents, platforms, tools, frameworks and methodologies to assure the reliability of our large-scale distributed systems serving hundreds of millions of monthly active users, handling hundreds of thousands of requests per second, and managing tens of petabytes of data. You'll lead infrastructure modernization initiatives, build intelligent automation that eliminates operational toil and amplifies engineering productivity, and transform successful consulting patterns into reusable platforms that democratize reliability expertise across Pinterest's 2500+ engineers. What you’ll do * Design and build AI agents that augment production reliability work - Develop agents that assist engineers with service health analysis, reliability recommendations, migration playbook generation, and risk identification, enabling faster decision-making while keeping humans in the loop for critical judgment calls * Drive large-scale infrastructure modernization with AI-accelerated execution - Lead Kubernetes adoption and platform transitions using AI to generate automation, accelerate delivery, and create patterns that enable self-service adoption for standard use cases while tackling novel architecture challenges * Transform consulting patterns into scalable platforms - Execute scoped reliability engagements with engineering teams, then encode successful approaches into AI-assisted tools, automation, and self-serve documentation that enable teams to handle similar problems independently while escalating complex challenges to experts * Build the knowledge infrastructure that powers Pinterest's operational agent ecosystem - Create migration playbooks, operational runbooks, incident patterns, and best practices that democratize reliability expertise and raise the baseline capabilities of all Pinterest engineers * Develop software solutions to enable reliability and operability of large-scale distributed systems - Build a deep understanding of how Pinterest's systems behave, scale, interact and fail, and use that insight to identify risks and opportunities for remediation through automation * Build tools and automation to eliminate toil and reduce operational overhead - Create frameworks, processes and best practices that encode reliability expertise into software, making operational excellence accessible to all engineers while freeing experts to tackle harder problems * Build meaningful, insightful and actionable SLIs - Develop service level indicators that provide clear signals of system health and enable data-driven reliability decisions across Pinterest Engineering * Automate critical portions of Pinterest's engineering processes - Build automation that minimizes risk and maximizes the speed of innovation, enabling safe, rapid deployment and operational changes at scale * Manage capacity and performance to help scale our infrastructure - Partner with teams to plan and optimize capacity across public and private clouds around the world, ensuring efficient resource utilization as Pinterest grows What we’re looking for: * 5+ years of industry experience building and operating large-scale, high-performance distributed systems * Bachelor's degree in Computer Science or related field, or equivalent experience * Strong programming skills in Python or Go - ability to build production-grade platforms, agents, and automation * Deep knowledge of Linux/Unix internals and experience with open source infrastructure (MySQL, Kafka, Envoy, Hadoop, etc.) * Infrastructure as Code experience (Terraform, Puppet, Chef, Ansible, Docker, Kubernetes) * Experience deploying web applications to cloud infrastructure (AWS, GCP, or Azure) and working with distributed, service-oriented architecture * Preferred: * Experience developing AI agents for infrastructure automation, operational decision-making, or reliability workflows * AI/ML infrastructure experience (LLM-based systems, model serving, agentic workflows) * Technical consulting or embedded SRE experience with cross-functional engineering teams In-Office Requirement Statement: * We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. * This role will need to be in the office for in-person collaboration 1-2 times every 6 months and therefore can be situated anywhere in the country. Relocation Statement: * This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-JT1 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $139,764—$287,749 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.
ABOUT THE ROLE At Peloton, we provide a seamless experience for our members. To achieve that, our internal engines—Finance, HR, Supply Chain, and Legal—must run with the same precision as our world-class fitness content. As the Sr. Manager, Incident Management and Site Reliability Engineering for Internal Systems, you will lead the team responsible for the "Order-to-Cash," "Procure-to-Pay," and "Record-to-Report" lifecycles. You aren't just managing infrastructure; you are the architect of business continuity. You will lead a team of high-performing SREs to ensure our global SaaS ecosystem (NetSuite, Coupa, Workday) and underlying network infrastructure are resilient, observable, and ready to scale. YOUR DAILY IMPACT AT PELOTON * Lead, mentor, and grow a team of SREs. Conduct 1:1s, define career growth paths, and foster a culture of high accountability and psychological safety * Transition from reactive support to proactive engineering. Align the team’s quarterly goals with broader Finance and Supply Chain digital transformation initiatives * Architect observability across complex business paths (e.g., ensuring a customer order flows from e-commerce through supply chain into the financial ledger) * Partner with business owners to define and track Service Level Objectives (SLOs) and Error Budgets for critical SaaS integrations * Own the Major Incident Response process for corporate systems. Ensure "War Rooms" are efficient and result in actionable improvements * Lead the Root Cause Analysis (RCA) process, ensuring a culture of continuous learning and systematic "toil" reduction * Oversee the reliability of API-driven connections and identity management (Okta/Azure AD) across our tech stack * Champion "Infrastructure as Code" (IaC) to automate manual hand-offs between business systems using Python, Go, or Terraform YOU BRING TO PELOTON * 8+ years in SRE, DevOps, or Production Engineering, with 2+ years of direct people management experience * Deep understanding of Order-to-Cash or Procure-to-Pay cycles. You can translate a "database lag" into its specific impact on warehouse shipping or financial reconciliation * Management of enterprise ecosystems (NetSuite, SAP, Workday, Salesforce) * Solid grasp of Networking (SD-WAN, VPNs), Identity (IAM), and Endpoint Management * Proficiency with Datadog, Splunk, New Relic, or Prometheus * Proven ability to communicate technical risk to non-technical stakeholders (CFO, General Counsel, Head of People WHAT SUCCESS LOOKS LIKE IN 6 MONTHS * You have established a predictable sprint velocity and a clear 12-month reliability roadmap for your direct reports * You’ve launched an Executive Health Dashboard that provides real-time visibility into the health of Peloton's financial and logistical "nervous system" * Through your team's automation efforts, you have reduced manual toil and decreased the Mean Time to Recovery (MTTR) for Tier-1 internal outages by 20% #LI-DD1 #LI-REMOTE #LI-DD #LI-Hybrid The base salary range represents the low and high end of the anticipated salary range for this position to be performed remotely from any Peloton office or facility, in any U.S. State and any location therein. The actual base salary offered for this position will depend on numerous factors including, without limitation, experience and business objectives. Our base salary is just one component of Peloton’s competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits. As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including: * Medical, dental and vision insurance * Generous paid time off policy * Short-term and long-term disability * Access to mental health services * 401k, tuition reimbursement and student loan paydown plans * Employee Stock Purchase Plan * Fertility and adoption support and up to 18 weeks of paid parental leave * Child care and family care discounts * Free access to Peloton Digital App and apparel and product discounts * Commuter benefits and Citi Bike Discount * Pet insurance and so much more! Base Salary Range $190,800—$267,250 USD ABOUT PELOTON: Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com. Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment. If you would like to request any accommodations from application through to interview, please email: applicantaccommodations@onepeloton.com. At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members. However, in our hiring process, our priority remains in getting to know you and your unique qualifications. To ensure a fair and equitable process, we do not permit the use of AI tools during any stage of the application and interview process. In considering you as an applicant, we want to understand your skills, experiences, and motivations without mediation through an AI system. We also want to directly assess your communication skills without the use of an AI tool. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions. Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com email address. If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence. Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.
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.