Zscaler
Senior AI Platform Engineer at Zscaler
Zscaler is hiring a Senior AI Platform Engineer in Pune, IND. The role details below come from the employer’s posting. You apply on the employer’s own site, and TechJobs360 never charges candidates.
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1. Job details
Zscaler
Senior AI Platform Engineer
Pune, IND
Not disclosed by employer
See the job description
On the employer’s site
2. Job description from Zscaler
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
As a Senior AI Platform Engineer, you will design, build, and maintain scalable, secure, and highly available AWS infrastructure optimized for complex AI/ML workloads. Utilizing Terraform and modern IaC principles, you will establish robust cloud architectures, automate release pipelines, and architect comprehensive observability and alerting solutions. Operating with a high degree of autonomy, you will champion platform reliability, security, and governance while partnering with AI/ML teams to deploy production-grade systems and mentor engineers across the organization.
What You'll Do (Role Expectations)
- Design, build, and maintain scalable, secure, and highly available AWS infrastructure (EKS, Lambda, ECS, VPC, IAM) for AI/ML workloads using Terraform best practices.
- Own and continuously evolve GitLab CI/CD pipelines for AI platform services to enable fast, reliable, and repeatable automated releases.
- Architect a centralized observability stack using Prometheus and Grafana with golden-signal dashboards and design intelligent alerting strategies to lead efficient incident response.
- Define and track DORA metrics to drive delivery and reliability improvements while building self-healing, auto-scaling, and cost-optimized infrastructure for AI/ML services on Kubernetes.
- Implement infrastructure security best practices, establish platform governance standards, partner on production-grade AI/RAG deployments, and mentor junior/mid-level engineers.
Who You Are (Success Profile)
- You are expert at designing and running production-grade environments, specializing in AWS cloud-native architectures tailored specifically for high-demand AI/ML workloads.
- You are driven to automate everything from infrastructure provisioning to multi-environment code deployment, ensuring systems are repeatable, secure, and easily maintained.
- You rely on concrete observability tools and DORA metrics to diagnose bottlenecks, resolve production incidents, and continuously improve platform reliability and delivery speeds.
- You enjoy working closely with cross-functional AI/ML and data teams to bridge the gap between development and operations, while actively mentoring peers.
- You work exceptionally well independently, taking complete ownership of complex infrastructure initiatives and communicating technical concepts with Staff-level clarity.
What We're Looking For (Minimum Qualifications)
- Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain.
- 4+ years of experience as a Platform, SRE, or DevOps Engineer, including 1+ years supporting AI/ML or data platform infrastructure, with deep hands-on AWS skills (EKS, Lambda, ECS, VPC, IAM, S3).
- Strong hands-on experience using Terraform (modules, workspaces, remote state) for Infrastructure as Code and designing/maintaining GitLab CI/CD pipelines with runners and automated deployments.
- Proven expertise in centralized monitoring using Prometheus and Grafana (custom exporters, dashboards, alerting) alongside tuning alerting systems (Alertmanager, PagerDuty, OpsGenie).
- Solid, hands-on understanding of DevOps/DORA metrics (deployment frequency, lead time for changes, change failure rate, MTTR) to measure and drive engineering improvements.
- Experience operating containerized apps on Kubernetes (EKS, Helm, Karpenter/HPA), strong scripting skills in Python (and/or Go/Bash), and excellent communication skills.
What Will Make You Stand Out (Preferred Qualifications)
- Demonstrate a proven ability to leverage AI technologies and workflows to drive measurable operational efficiency.
- Experience with LiteLLM (multi-region deployments), distributed compute frameworks like Ray.io/Anyscale, workflow engines like Temporal, and agentic frameworks (LangGraph, LangChain, or LlamaIndex).
- Working knowledge of vector databases (Qdrant, Pinecone, Weaviate), memory/context layers like ZEP, MLOps practices (model registry, MLflow/Kubeflow), and LLM observability tools (Arize Phoenix).
- Exposure to GitOps workflows (ArgoCD/Flux), log aggregation and distributed tracing (Loki, ELK, Jaeger/Tempo), cloud cost optimization (FinOps), and security compliance frameworks (SOC 2, ISO 27001).
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 .
3. Skills that usually matter in cloud, DevOps and SRE roles
General guidance from TechJobs360, not part of Zscaler’s posting. The job description above is what counts for this role.
| Area | What to be comfortable with |
|---|---|
| Languages | Go, Python, Bash, Terraform (HCL) |
| Frameworks & tools | Kubernetes, Docker, CI/CD, monitoring (Prometheus, Grafana) |
| Computer science basics | Data structures, algorithms, complexity |
| Ways of working | Version control, code review, testing, reading other people's code |
4. How to prepare for a Senior AI Platform Engineer interview
Interview formats differ by company and team, so confirm the rounds with the recruiter. Most hiring loops for roles like this cover:
A recruiter call or an online test. Read the job description twice and be ready to explain how your experience matches it.
Often coding problems on arrays, strings, trees, graphs or dynamic programming, solved while you explain your thinking.
Often design and trade-off questions sized to the role: an API, a component, or a small system.
Answer with the STAR method (Situation, Task, Action, Result). Prepare two or three real stories: a hard problem you solved, a disagreement you handled, and something you learned quickly.
5. Take-home pay example (FY 2026–27, new tax regime)
An example for two common package sizes, not this job’s salary. Under the new tax regime (Section 115BAC) salaried employees get a standard deduction of ₹75,000.
| Component | Example: ₹12 LPA | Example: ₹24 LPA |
|---|---|---|
| Basic salary (40% of CTC) | ₹40,000 / mo | ₹80,000 / mo |
| Employee EPF (12% of basic) | -₹4,800 / mo | -₹9,600 / mo |
| Income tax (TDS) | -₹6,933 / mo | -₹32,450 / mo |
| Professional tax | -₹200 / mo | -₹200 / mo |
| Approx. in-hand | ₹81,344 / mo | ₹1,44,304 / mo |
Work out the take-home pay for your own offer, in either tax regime.
6. Questions and how to apply
How do I apply?
Use the apply button below. It opens Zscaler’s own application page.
Does TechJobs360 recruit for this job or charge a fee?
No. We list openings from employers’ career sites. Zscaler runs the hiring, and nobody should ask you to pay to apply.
Is this job still open?
We check listings against the employer’s page every day and take down jobs that have closed.
Should I apply if I don’t match every requirement?
Usually yes, if you meet most of the core requirements and can show you learn quickly. A referral from someone on the team can help your resume get read.
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