Head of Engineering Services (REMOTE)
•Jobgether· 1d
💻 Engineering⏰ Full-time👔 Executive📍 Malaysia
1d ago
Zscaler·4 months ago
About Zscaler
Zscaler is a pioneer and global leader in zero trust security. The world’s largest businesses, critical infrastructure organizations, and government agencies rely on Zscaler to secure users, branches, applications, data & devices, and to accelerate digital transformation initiatives. Distributed across more than 160 data centers globally, the Zscaler Zero Trust Exchange platform combined with advanced AI combats billions of cyber threats and policy violations every day and unlocks productivity gains for modern enterprises by reducing costs and complexity.
Here, impact in your role matters more than title and trust is built on results. 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 champion an “AI Forward, People First” philosophy to help us accelerate and innovate, empowering our people to embrace their potential. If you’re driven by purpose, thrive on solving complex challenges and want to make a positive difference on a global scale, we invite you to bring your talents to Zscaler to help shape the future of cybersecurity.
Role
We are looking for a seasoned Sr. Software Engineer to join our team. This is a hybrid role based in San Jose, CA, reporting to the Sr. Director, Software Engineering within the Digital Experience department. Bring your vision and passion to our team of cloud architects and security experts as we build the world’s largest cloud security platform. You will enable organizations worldwide to harness speed and agility by developing agentic AI features and resilient services at scale.
What you’ll do (Role Expectations)
Build agentic AI features by implementing tool-use workflows, retrieval/RAG, and evaluators while hardening for scale and reliability
Ship resilient services by designing and operating microservices, data/feature pipelines, and low-latency inference paths with solid observability
Operate with excellence by adding tests, monitors, tracing, and dashboards while participating in on-call with an automation-first mindset
Collaborate across the Engineering team to enhance our multitenant architecture and expand our global footprint
Drive the cloud-first strategy that supports more than 15 million users across 185 countries
Who You Are (Success Profile)
You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
What We’re Looking for (Minimum Qualifications)
BS in CS (or related) with 4+ years experience, or MS with 2+ years, delivering ML/GenAI features to production
Exceptional problem-solving skills driven by first-principles thinking, applying expertise in programming, data, and machine learning
Proven experience in the full ML model lifecycle—building, deployment, monitoring, and optimization
Hands-on experience with modern GenAI stacks such as LangChain/LangGraph, CrewAI, vector stores, RAG, prompts/memory, or evaluators
Solid distributed systems fundamentals including APIs, queues, caching, concurrency, and cloud experience with Docker/Kubernetes, CI/CD, and AWS/GCP/Azure
What Will Make You Stand Out (Preferred Qualifications)
Prior delivery of agentic/LLM systems in production, including context engineering and memory management strategies
Experience fine-tuning and serving LLMs/SLMs at scale regarding latency, cost, safety, and evals
#LI-Hybrid
#LI-BH1
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.
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 Future of Work strategy, 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.