Principal Engineer - Developer Infrastructure (Chronosphere)

Palo Alto Networks
Sevilla, Spain
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
8 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Amazon Web Services Cloud Computing Cloud Engineering Continuous Integration Software Debugging Linux Programming Tools Distributed Systems Python (Programming Language) Systems Development Life Cycle Zero Trust Network Access
+7 more
Backend Containerization Kubernetes Terraform Dynatrace Golang Microservices

Job description

Experteer Overview As part of the Chronosphere team, you will build scalable developer tooling and an infrastructure platform to boost velocity and reliability for a large engineering organization.You’ll work in a 100% cloud-native environment with ephemeral infrastructure and containerized microservices, shaping observability for major tech customers.This role emphasizes end-to-end ownership, from local tooling to CI/CD and deployment, with a focus on performance, cost efficiency, and real-time telemetry.You’ll influence platform standards and mentor peers, driving long-term technical strategy and cross-team collaboration.Compensaciones / Beneficios * Architect and build high-scale developer tooling and backend services to improve productivity across a distributed cloud environment * Implement and manage declarative Infrastructure as Code (Terraform) for reproducible environments * Identify and eliminate bottlenecks in the SDLC through architectural changes and tooling * Ensure infrastructure reliability under heavy traffic and optimize for cost and telemetry performance * Provide strategic leadership, define platform standards and mentor across teams Responsabilidades * 8+ years of relevant experience * Strong proficiency in at least one backend language (Go, Java, Python, or Rust) and ability to write modular, testable code * Cloud-native experience with AWS or GCP; Kubernetes and container-level logic familiarity * Deep knowledge of Linux internals, process management, and resource isolation * Understanding of networking, security (zero-trust), and service meshes * Experience with distributed systems, CAP theorem, and distributed tracing * Proven reliability in delivering features end-to-end within sprints * Analytical debugging skills and proactive edge-case thinking * Strong collaboration and communication skills; openness to feedback and continuous learning * Interest or experience with AI coding assistants to boost productivity Requisitos principales * remote role with global collaboration * inclusion and accommodations for qualified individuals * opportunity to impact large-scale observability platforms * growth and mentorship opportunities * cross-functional teamwork across geographies

Requirements

You’ll work in a 100% cloud-native environment with ephemeral infrastructure and containerized microservices, shaping observability for major tech customers. This role emphasizes end-to-end ownership, from local tooling to CI/CD and deployment, with a focus on performance, cost efficiency, and real-time telemetry. You’ll influence platform standards and mentor peers, driving long-term technical strategy and cross-team collaboration. Compensaciones / Beneficios * Architect and build high-scale developer tooling and backend services to improve productivity across a distributed cloud environment * Implement and manage declarative Infrastructure as Code (Terraform) for reproducible environments * Identify and eliminate bottlenecks in the SDLC through architectural changes and tooling * Ensure infrastructure reliability under heavy traffic and optimize for cost and telemetry performance * Provide strategic leadership, define platform standards and mentor across teams Responsabilidades * 8+ years of relevant experience * Strong proficiency in at least one backend language (Go, Java, Python, or Rust) and ability to write modular, testable code * Cloud-native experience with AWS or GCP; Kubernetes and container-level logic familiarity * Deep knowledge of Linux internals, process management, and resource isolation * Understanding of networking, security (zero-trust), and service meshes * Experience with distributed systems, CAP theorem, and distributed tracing * Proven reliability in delivering features end-to-end within sprints * Analytical debugging skills and proactive edge-case thinking * Strong collaboration and communication skills; openness to feedback and continuous learning * Interest or experience with AI coding assistants to boost productivity Requisitos principales * remote role with global collaboration * inclusion and accommodations for qualified individuals * opportunity to impact large-scale observability platforms * growth and mentorship opportunities * cross-functional teamwork across geographies

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