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About the Role

We're looking for an Infrastructure Engineer to build developer tooling that enables developer velocity and reliability for the entire engineering organization. Our team owns the full end-to-end development lifecycle, from local development tools, CI/CD, dynamic testing environments, deployments, and releases. You’ll be working with the latest cloud-native technologies as you build an infrastructure platform that enables the engineering organization to deliver observability for some of the largest technology companies.

Responsibilities

Design and maintain high-scale developer tooling and backend services that improve productivity and reliability across a distributed cloud environment.
Define, deploy, and manage entire environments using declarative IaC (Terraform), ensuring our platform is reproducible and version-controlled.
Identify and eliminate systemic bottlenecks in the software development lifecycle (SDLC) through architectural changes or advanced tooling.
Ensure our infrastructure remains resilient under massive traffic loads, optimizing for performance, cost-efficiency, and near real-time telemetry processing.
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.
Strong proficiency in at least one backend language (e.g., Go, Java, Python, or Rust).
Ability to write modular, testable code.
Solid understanding of cloud-native concepts and experience working with cloud providers like AWS or GCP.
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.
Track record of completing assigned tasks/tickets reliably and estimating work effectively within a sprint.
Ownership of features from local development through to basic testing and delivery.
Ability to debug your own code efficiently using logs and tests.
Proactively identify 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.
Proactive approach to learning new tools, processes, and libraries.
Open to feedback and use incidents or code reviews as opportunities to up-level skills.
Experience or interest in using AI coding assistants (like Cursor or Claude) to improve productivity and automate boilerplate tasks.

Skills

Backend languages (Go, Java, Python, or Rust)
Cloud-native concepts
AWS
GCP
Kubernetes
Containerization
Linux internals
Process management
Resource isolation
OSI model
Service meshes
Load balancing
Zero-trust security architectures
Distributed Systems
CAP theorem
Eventual consistency
Distributed tracing
Terraform
AI coding assistants

Location

Remote

Work Type

Remote
Hybrid

Experience Level

8+ years of relevant experience

Salary/Compensations

$126,000.00 - $204,500.00/yr

Benefits

Restricted stock units
Bonus

About the Company

At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life.
We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking.
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry.
We weave AI into the fabric of everything we do and use it to augment the impact every individual can have.
We are committed to providing reasonable accommodations for all qualified individuals with a disability.
We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo.
It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

Equal Opportunity

Palo Alto Networks is an equal opportunity employer.
We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.