# Staff Software Development Engineer (Backend - Python/Go/Rust)

**Company**: Zscaler
**Location**: Bangalore, IND
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/zscaler/jobs/5184112007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4b3ce706-5e1

## Description

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.

We are looking for a Staff Software Development Engineer (Backend) to join our team. This is a Hybrid (Bangalore) role, reporting to the Director, Threat Researcher in the Engineering department. In this role, you will architect, scale, and operate complex distributed systems and cloud-native platforms running on Kubernetes and cloud infrastructure. You will own end-to-end technical initiatives, set high standards for reliability and performance, and multiply the overall impact of the engineering team.

**Responsibilities**

- Lead the design, development, testing, and evolution of backend services and APIs, making sound architectural trade-offs with a focus on scalability, reliability, performance, and maintainability

- Drive services end to end , development, deployment, scaling, monitoring, and ongoing production support , and set the standard for operational ownership across the team

- Design and manage services in containerized environments, leading deployment strategy, scaling, and troubleshooting on Kubernetes

- Lead incident response and root-cause analysis across distributed systems, monitor service health, debug complex failures, and drive systemic fixes that improve long-term production reliability

- Work across cloud infrastructure and compute environments to support workload deployment, service configuration, and operational troubleshooting, including multi-environment and capacity considerations

**Requirements**

- Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain

- 5+ years owning backend or distributed production services, with strong expertise in Python, Go, or Rust and working proficiency in a second language

- Proven experience building, scaling, and troubleshooting high-volume production APIs and backend services using containers and Kubernetes

- Experience with cloud platforms, with Amazon Web Services (AWS) or Google Cloud Platform (GCP) experience preferred

- Strong system design, performance, and reliability fundamentals with proven ability to lead distributed root-cause analysis and make independent architectural decisions

- Experience working with AI-assisted development and engineering workflows, applying AI tools for code generation, code review, testing, debugging, and operational automation to improve engineering velocity and quality

**Benefits**

- Various health plans

- Time off plans for vacation and sick time

- Parental leave options

- Retirement options

- Education reimbursement

- In-office perks, and more!

## Skills

### Required
- Python
- Go
- Rust
- Kubernetes
- cloud infrastructure
- AI/ML technologies
- containerized environments

### Nice to have
- Amazon Web Services (AWS)
- Google Cloud Platform (GCP)
- authentication (SSO, OAuth, OIDC)
- observability (metrics, logs, traces)

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/zscaler/jobs/5184112007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)