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

Overview

Join Zscaler as a Staff Software Development Engineer (Backend) to 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 and set high standards for reliability and performance.

What you'll do

• 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 through 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.

What you'll need

• 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.
• 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.
• 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.

Nice to have

• Experience with Amazon Web Services (AWS) or Google Cloud Platform (GCP).
• Proven ability to leverage AI technologies and workflows to drive measurable operational efficiency.
• Hands-on expertise deploying, operating, and troubleshooting production Kubernetes workloads across large-scale multi-cloud environments.
• Strong, production-level proficiency in two or more of Python, Go, and Rust, or familiarity with C/C++ for systems-level or performance-sensitive components.
• Deep understanding of authentication (SSO, OAuth, OIDC) and observability (metrics, logs, traces) to resolve production issues across app and infra layers, with proven ability to leverage AI workflows for operational efficiency.

Details

• Hybrid role in Bangalore.