Principal Software Development Engineer

Zscaler
Bengaluru
Workplace: HybridFull timeFunction: Communications, PR & CommunityExperience: 10+ yearsEducation: bachelorsSkills: ["Ownership","Problem-solving","Collaboration","Integrity","Growth mindset"]

Lead the architecture, deployment, and evolution of large-scale Generative AI platforms and intelligent agent systems in production. Build secure Model Context Protocol (MCP) servers, and design high-performance containerized AI workloads using Docker and Kubernetes with latency and memory optimizations. Define enterprise engineering standards and best practices, and partner across teams to deliver scalable, reliable, observable AI capabilities.

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FursaFursa
Zscaler
Zscaler
5 days ago

Principal Software Development Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live
Reposted: similar role first listed 10 months ago

Job Summary

Lead the architecture, deployment, and evolution of large-scale Generative AI platforms and intelligent agent systems in production. Build secure Model Context Protocol (MCP) servers, and design high-performance containerized AI workloads using Docker and Kubernetes with latency and memory optimizations. Define enterprise engineering standards and best practices, and partner across teams to deliver scalable, reliable, observable AI capabilities.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Communications, PR & Community
Seniority: Mid level

Key Responsibilities

  • •Lead architecture, deployment, and evolution of large-scale Generative AI platforms and intelligent agent systems in production.
  • •Build and maintain MCP servers to standardize secure interactions between LLMs, agents, enterprise tools, APIs, databases, and local resources.
  • •Design and deploy high-performance containerized Generative AI workloads in production using Docker and Kubernetes with latency and memory optimizations.
  • •Define engineering standards, architectural patterns, and best practices for robust enterprise AI systems.
  • •Partner across multidisciplinary teams to deliver reliable AI capabilities at scale, ensuring systems are scalable, secure, observable, and production-ready.

Pay and Benefits

Perks:Health InsurancePaid LeaveParental LeaveRetirementLearning Budget

Key Requirements

  • •10+ years of software engineering experience with expertise in distributed systems, platform engineering, or machine learning infrastructure.
  • •Proven experience building, deploying, and operating production-grade AI/ML or LLM systems at scale.
  • •Strong expertise in Python and systems languages such as Go, C++, Rust, or Java.
  • •Hands-on experience with Docker, Kubernetes, and cloud-native deployment patterns.
  • •Bachelor’s or Master’s degree in Computer Science/Engineering (or equivalent practical experience).
Experience:10+ yearsAI/MLLLM systemsDistributed systemsPlatform engineering
Education:Bachelor's in Computer Science, Engineering
Skills:OwnershipProblem-solvingCollaborationIntegrityGrowth mindset
Tech Stack:Model Context Protocol (MCP)LLMsAgentsPythonGoC++RustJavaDockerKubernetesModel quantizationKV-cache optimizationRAGVector databasesEmbedding pipelinesVLLMTensorRT-LLMTritonRay Serve

Company Brief

Zscaler
Provides cloud-native security platform delivering secure access, threat protection, and zero trust services to organizations, enabling secure internet and private application access without traditional network appliances.
Industry: Cybersecurity
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 2007
WebsiteLinkedIn