Production Engineering - DevOps

Pure Storage•Santa Clara, CA

3d•Onsite

About The Position

We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Senior Software Engineer in Production Engineering, you will be the architect of speed and reliability for our flagship FlashBlade and FlashArray products. You’ll lead the mission to transform CI/CD pipelines into high-performance engines, ensuring our developers can ship world-class code without bottlenecks. By partnering across the engineering organization, you will treat "Quality as Code," building the automated systems and invisible infrastructure that define how Everpure delivers innovation.

Requirements

System Engineering Mastery: You possess a deep background in distributed systems design and software development (Python, Go, or similar), with a proven ability to build automated infrastructure at scale for large engineering organizations.
Pipeline Expertise: You have extensive experience managing complex CI/CD topologies, including pipeline-as-code, artifact promotion strategies, and container orchestration (Kubernetes/OpenShift) within Linux/Unix environments.
Operational Excellence: You bring a "quality-first" mindset to operations, utilizing SQL or analytics platforms to drive decisions and maintaining a calm, decisive approach when leading incident mitigations.
Strategic Collaboration: You are a skilled communicator who can influence technical strategy across teams without formal authority, translating complex infrastructure trade-offs into clear outcomes for stakeholders.

Responsibilities

Architect CI/CD Ecosystems: Design and operate scalable, multi-stage CI pipelines and release services (using Jenkins, Groovy, and Kubernetes) that enforce quality gates and branch policies automatically, eliminating manual overhead.
Build Developer-First Tooling: Create and maintain robust services, APIs, and CLIs in Python or Go that simplify how hundreds of engineers onboard, configure, and debug their workflows.
Engineered Reliability & Observability: Integrate deep telemetry (metrics, logs, traces) into our delivery systems to proactively detect flakiness and resolve incidents before they impact the developer experience.
Drive Data-Backed Quality: Develop data pipelines and actionable dashboards to monitor KPIs like pass-rates, escape metrics, and deployment velocity, using these signals to influence engineering-wide release decisions.
Technical Leadership: Serve as a technical "captain" during high-impact integration cycles, leading cross-functional projects from initial design through global rollout while mentoring peers on modern production engineering practices.