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Software Engineer – Backend; Machine Identity Security, SaaS Control Plane

Job in Santa Clara, Santa Clara County, California, 95053, USA
Listing for: Palo Alto Networks
Full Time position
Listed on 2026-06-12
Job specializations:
  • Software Development
    Backend Developer, Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer – Backend (Machine Identity Security, SaaS Control Plane)

Job Summary

We are seeking a Principal Software Engineer to join our Machine Identity Security team, focused on backend systems that power the control plane of our platform. In this role, you will lead the design and evolution of scalable backend services, APIs, and integrations that enable secure machine identity and certificate lifecycle management  will work on high-throughput, low-latency distributed systems supporting large-scale request volumes and real-time system interactions.

You will operate at a systems level, shaping how control plane capabilities are built, exposed, and consumed across the platform. This includes defining APIs, managing service interactions, and ensuring reliability under load across distributed environments. You will be responsible for shaping the technical direction of control plane services, influencing architectural decisions across teams, and driving consistency in how systems are designed, built, and scaled across the platform.

This role requires strong technical depth, product awareness, and the ability to guide complex engineering decisions across multiple teams.

Responsibilities
  • Lead the design and development of backend services and APIs that power the Machine Identity Security control plane
  • Own and drive backend architecture and system design for control plane services, with a focus on scalability, reliability, and extensibility
  • Define and influence how control plane capabilities are exposed through APIs, SDKs, and integrations
  • Build and guide the development of integrations between the control plane and external systems/tools (e.g., Terraform, Ansible, enterprise platforms)
  • Design and operate high-throughput distributed systems supporting large-scale, multi-tenant SaaS control plane environments, with a focus on latency, reliability, and data consistency
  • Optimize backend services for performance at scale, including request throughput, concurrency, and system efficiency under load
  • Partner closely with product, platform, and security teams to define and evolve control plane capabilities and long‑term system direction
  • Drive consistency and best practices across teams building control plane services, influencing design patterns, service communication, and data handling at a platform level
  • Diagnose and resolve complex technical issues across distributed control plane services, setting patterns and approaches for other engineers to follow
  • Mentor engineers and contribute to raising the technical bar through design reviews and technical leadership
  • Drive technical decisions and influence backend direction across teams working on the platform
  • Drive improvements in development workflows, CI/CD pipelines, and engineering standards
  • Contribute to evolving engineering practices that incorporate modern development tooling responsibly, with attention to security, correctness, and maintainability
Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
  • 8+ years of professional experience in software development, with demonstrated ownership of complex backend or control plane systems
  • Strong experience building backend services and APIs using Java (primary);
    Go experience is a plus
  • Deep experience designing and scaling distributed systems and microservices architectures
  • Hands‑on experience with cloud platforms (AWS, Azure, or GCP), ideally in SaaS environments
  • Strong system design expertise, including API design, performance optimization, and scalability patterns
  • Experience building or operating systems under real production load, including high request throughput, concurrency, and performance optimization at scale
  • Experience building and supporting APIs, SDKs, and integrations used by internal and external customers
  • Experience with data streaming, messaging systems, or real-time processing (e.g., Kafka)
  • Experience with CI/CD, containerization (Docker), and orchestration (Kubernetes)
  • Familiarity with identity, authentication, or security systems (SAML, OAuth, certificate management) is a plus
  • Proven ability to lead large‑scale system design efforts and influence technical direction across multiple teams or services
  • Ability…
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