
Zscaler · Remote - California
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 Principal 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)
technical operability reviews
What Will Make You Stand Out (Preferred Qualifications)
(HAProxy), DNS at scale, and OS networking stack internals
#LI-Hybrid #LI-RT101
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 MOTORWAY Motorway is the UK’s fastest-growing used car marketplace - our online-only platform connects private car sellers with thousands of verified dealers nationwide, ensuring everyone gets the best deal. Founded in 2017, our award-winning, technology-led approach has redefined the experience of selling a car. Motorway is backed by some of the world’s leading technology investors, having raised £143 million in Series C funding. This is a unique opportunity to join a fast-growing scale-up at a crucial phase of growth and help change an industry for the better. ABOUT THE TEAM GenAI Engineering sits within Motorway's Data and AI function, alongside Machine Learning and the Machine Learning Data Platform. The team owns the GenAI features that shape how buyers and sellers experience the marketplace, spanning agentic workflows in the customer experience and LLM-powered tooling for our dealer network. Over the next two years the function scales from shipping AI features into running a serious GenAI platform. This hire is the technical authority who'll help shape that platform, working closely with engineering leadership across Data and AI and the wider Engineering org. ABOUT THE ROLE This is the most senior individual contributor role on Motorway's GenAI engineering ladder (IC5 / Principal). You'll report to the Director of Data and AI, advising the CPO and the wider exec on AI technical strategy. The remit is the trajectory of GenAI engineering at Motorway over a two-to-three-year horizon: the architecture, the standards and the strategic bets that no single team can absorb on its own. You'll set architectural direction across the GenAI surface area, hold sign-off on materially complex AI systems, and have the credibility to veto implementations that don't meet our agreed technical, safety or quality bar. You'll shape the high-stakes calls on vendor strategy, model selection, build-vs-buy on platform infrastructure, and our responsible-AI posture, providing the technical rationale that lets the Director of Data and AI and the wider exec land those calls with confidence. This is still a hands-on engineering role: you'll design and build the hardest single pieces of work directly, write production code on the systems that matter most, and pair with senior engineers on the architectural decisions that will outlast specific features. You won't own all AI usage at Motorway, you won't own overall AI strategy, and you won't hold budget for AI infrastructure, but you'll contribute meaningfully to all three, and you'll define how GenAI is built and evaluated here. This is a newly-created role and a greenfield opportunity. The technical bets you make will sit behind Motorway's most strategic AI initiatives, including ones not yet started. AI engineering choices at this level shape unit economics for years. IN THIS ROLE, YOU WILL: * Set the overarching architecture for GenAI at Motorway, including reusable patterns for prompt design, RAG (hybrid retrieval, chunking, semantic caching), agent orchestration, evaluation frameworks (LLM-as-judge, golden datasets, adversarial prompts), guardrails and observability that other teams build on * Design and build the hardest single pieces of work directly, taking on the problems nobody else is well-placed to solve and leading our highest-risk, highest-reward technical bets across the GenAI surface area * Hold sign-off on architectural decisions for materially complex GenAI systems, with the credibility to veto implementations that don't meet our agreed technical, safety or quality bar * Advise the Director of Data and AI on build-vs-buy calls for AI infrastructure (vector stores, eval platforms, AI gateways, model routers, agent frameworks), and own the technical rationale behind them * Drive cost, latency and throughput optimisation across our production GenAI systems, with the trade-offs documented and explicit * Define our principles for emerging paradigms, including multi-agent protocols, multimodal systems and agent-to-agent communication * Define our responsible AI principles and keep us aligned with the EU AI Act, NIST AI RMF and ICO guidance ahead of regulatory deadlines * Own opinionated relationships with our model and infrastructure providers, with the credibility to influence vendor roadmaps where it matters to us * Coach engineers across the function, shape how we hire and review, and set the cultural bar for safety, evaluation and production quality * Identify what Motorway should stop pursuing with the same clarity as what we should start, and represent Motorway externally through publications, conference talks and meaningful open-source contributions, used as a multiplier for hiring and partnerships ABOUT YOU * Typically 8+ years building production AI/ML systems, with at least 2 years at the cutting edge of GenAI, and a track record of company-scale technical bets that have materially shifted a business's trajectory * Strong engineering fundamentals and comfort working directly in code: Python and modern API-driven architectures on cloud infrastructure (AWS or equivalent), with the production engineering instincts (CI/CD, observability, SLOs, cost attribution) to take prototypes through to hardened production * Current, hands-on expertise across the GenAI stack: LLM APIs, prompt engineering, RAG (hybrid retrieval, chunking strategy, semantic caching, re-ranking), agentic architectures (multi-step, multi-agent, tool use, memory), evaluation frameworks, LLMOps and fine-tuning * Deep understanding of LLM capabilities and limitations, including how models fail in your domain, what hallucination and prompt injection look like in practice, and how to design evals that catch them * Experience setting architectural standards adopted across multiple engineering teams over multiple years * High-stakes build-vs-buy judgment, with a clear story of where you've been right and where you've been wrong * Strategic grasp of responsible AI and AI governance, with practical experience aligning engineering decisions to NIST AI RMF, the EU AI Act or comparable frameworks * Calm, direct communication with executive and board-level audiences, with the ability to compress technical complexity into the decisions leadership needs to make * Coaching credibility with senior engineers, who have grown materially under your influence * Self-awareness as a leadership trait; you know the limits of your knowledge and pull in outside expertise before that becomes a problem YOU COULD BE A GREAT FIT IF * You have an external technical presence (publications, well-known open-source contributions or conference talks) and use it as a multiplier for hiring and partnerships * You've led an organisation through a major AI paradigm shift in a previous role * You have working knowledge of the ML Engineering and platform layer (serving infrastructure, AI gateways, cost attribution, multi-model routing) that GenAI features run on top of * You've advised commercial leadership on vendor and partnership strategy, including contract and data-rights negotiation * You've worked in a regulated, safety-critical or trust-heavy domain where AI behaviour has material business or legal consequence WE OFFER A FANTASTIC RANGE OF BENEFITS TO HELP YOU THRIVE: * Great work-life balance * Office location with regular social events, office drinks and free snacks to keep you going * Flexibility to work from home up to 1 day per week to help nail that work-life balance * Stock options so you can share in Motorway's growth and future success * Pension scheme to plan for your future with our provider NEST * Strong commitment to your personal development including budget for books, courses, conferences, etc * Opt-in comprehensive health insurance through BUPA and fitness discounts * Cycle to work scheme - save big ££ on a new bike and accessories * One paid volunteering day a year for you to use as you wish * Generous parental benefits including 6 months full paid maternity leave, 4 weeks paternity leave and workplace nursery scheme... and much more! BENEFITS We've got your back, in life's biggest moments and the everyday ones too. * Competitive salary * Equity scheme - we all share in Motorway's success * 25 days holiday * Flexible working (2 days a week in our London office, with socials and snacks galore) * Private medical insurance via BUPA * Life assurance * Pension scheme (we contribute 5%) * Enhanced family leave (e.g. 26 weeks full pay for maternity or adoption) * 24/7 Employee Assistance Programme * EV leasing scheme * Cycle to work scheme * Nursery salary sacrifice scheme * 1 paid volunteering day a year
Principal Embedded SW/FW Engineer (Bringup) - Austin, Tx, USA Job Summary We have an exciting opportunity to be part of a collaborative, cross-functional development team validating cutting-edge, high-performance AI chips and platforms. You will play a key role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to provide technical guidance to other engineering team members. In this role, you can leverage our experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes. The Team The Post-Silicon Bringup team sits within the Architecture and Validation team, we are responsible for bringup and validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and supporting the Silicon Characterisation team. Responsibilities and Duties * Plan, design, develop and debug silicon validation tests in bare metal C/C++ on FPGA/Emulator prior to first silicon * Deploy silicon validation tests on first silicon and debugging them * Develop automated test framework and regression test suites in Python to optimize validation efficiency * Collaborate closely with engineers from many other disciplines on a variety of topics * Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies * Analyse test results, identify and debug failures/defects * Contribute to shared test and validation infrastructure * Provide feedback to architects Candidate Profile Essential: * Understanding of ML applications and their workloads * A self-starter who can apply independent judgement * A team player able to lead and support colleagues with difficult concepts * Strong experience in Bare metal / embedded C/C++ * Excellent problem-solving, analytical & diagnostic skills * Ability to work across teams and programming languages to find root causes of critical and complex issues * Experience of the post-silicon validation process applied in digital ASIC environments * Python, Linux * Excellent communication skills and the ability to explain difficult concepts to resolve issues Desirable * 5 to 10 years’ experience * Experience building and leading, multi-site teams * Driver level experience with one or more of the following is highly desirable: * PCIe * Ethernet * Memory technologies (LPDDR, DDR, HBM, …) * Other peripherals such as I2C, I3C, SPI, … * Good knowledge of mixed-signal building blocks such as PLLs, high speed PHYs and IC control/communication protocols is highly desirable. * Experience of Arm CPUs, System IP and debug tools. * Experience of AMBA protocols. * Experience in Characterization, Failure Analysis, Test Development, Statistical analysis,
Principal Embedded SW/FW Engineer (Bringup) - Bengaluru, multiple vacancies Job Summary We have an exciting opportunity to be part of a collaborative, cross-functional development team validating cutting-edge, high-performance AI chips and platforms. You will play a key role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to provide technical guidance to other engineering team members. In this role, you can leverage our experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes. The Team The Post-Silicon Bringup team sits within the Architecture and Validation team, we are responsible for bringup and validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and supporting the Silicon Characterisation team. Responsibilities and Duties * Plan, design, develop and debug silicon validation tests in bare metal C/C++ on FPGA/Emulator prior to first silicon * Deploy silicon validation tests on first silicon and debugging them * Develop automated test framework and regression test suites in Python to optimize validation efficiency * Collaborate closely with engineers from many other disciplines on a variety of topics * Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies * Analyse test results, identify and debug failures/defects * Contribute to shared test and validation infrastructure * Provide feedback to architects Candidate Profile Essential: * Understanding of ML applications and their workloads * A self-starter who can apply independent judgement * A team player able to lead and support colleagues with difficult concepts * Strong experience in Bare metal / embedded C/C++ * Excellent problem-solving, analytical & diagnostic skills * Ability to work across teams and programming languages to find root causes of critical and complex issues * Experience of the post-silicon validation process applied in digital ASIC environments * Python, Linux * Excellent communication skills and the ability to explain difficult concepts to resolve issues Desirable * 10+ years experience * Experience building and leading, multi-site teams * Driver level experience with one or more of the following is highly desirable: * PCIe * Ethernet * Memory technologies (LPDDR, DDR, HBM, …) * Other peripherals such as I2C, I3C, SPI, … * Good knowledge of mixed-signal building blocks such as PLLs, high speed PHYs and IC control/communication protocols is highly desirable. * Experience of Arm CPUs, System IP and debug tools. * Experience of AMBA protocols. * Experience in Characterization, Failure Analysis, Test Development, Statistical analysis,