Sr. Staff Engineer Software, Infrastructure Reliability (Chronosphere)

Palo Alto Networks is a cybersecurity company seeking an Infrastructure Engineer to build developer tooling that improves engineering velocity and reliability. The role focuses on designing cloud-native infrastructure, managing environments through Infrastructure as Code, improving software delivery quality, ensuring scalability and resilience, and providing strategic technical leadership and mentorship.

Responsibilities:

• Architect & Build: Design and maintain high-scale developer tooling and backend services that improve productivity and reliability across a distributed cloud environment. We operate in a 100% modern, cloud-native ecosystem and you will work exclusively with ephemeral infrastructure and containerized microservices
• Infrastructure as Code (IaC): Treat infrastructure as a first-class citizen. You will define, deploy, and manage entire environments using declarative IaC (Terraform), ensuring our platform is reproducible and version-controlled
• Drive Systemic Quality: Identify and eliminate systemic bottlenecks in the software development lifecycle (SDLC) through architectural changes or advanced tooling
• Scale & Reliability: Ensure our infrastructure remains resilient under massive traffic loads, optimizing for performance, cost-efficiency, and near real-time telemetry processing
• Strategic Leadership & Mentorship: Define platform standards and reference architectures that span a 1–3 year horizon, balancing feature velocity with long-term technical debt. Act as the "glue" across teams, consulting on infrastructure best practices and up-leveling the organization through mentorship

Requirements:

• 8+ years of relevant experience with the following:
• Foundational Technical Proficiency: Strong experience in at least one backend language (e.g., Go, Java, Python, or Rust). We value fluency and the ability to write modular, testable code over knowing a specific syntax
• Strong proficiency in at least one backend language (e.g., Go, Java, Python, or Rust). We prioritize the ability to write modular, testable code over knowledge of a specific language syntax
• A solid understanding of cloud-native concepts and experience working with cloud providers like AWS or GCP. You should be comfortable navigating Kubernetes and container-level logic
• Deep knowledge of Linux internals, process management, and resource isolation
• Understanding of the OSI model, service meshes, load balancing, and "zero-trust" security architectures
• Experience building and debugging systems that deal with CAP theorem trade-offs, eventual consistency, and distributed tracing
• A track record of completing assigned tasks/tickets reliably and estimating work effectively within a sprint. You take ownership of features from local development through to basic testing and delivery
• The ability to debug your own code efficiently using logs and tests, while proactively identifying edge cases (like nulls or limits) during the design phase
• Strong communication skills to keep teammates informed, raise blockers early, and contribute meaningfully to code reviews and design discussions
• A proactive approach to learning new tools, processes, and libraries. You are open to feedback and use incidents or code reviews as opportunities to up-level your skills
• Experience or interest in using AI coding assistants (like Cursor or Claude) to improve productivity and automate boilerplate tasks