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Centric Software

SaaS PLM platform for fashion retail

Cloud Principal Engineer

Platform Engineering +1Confirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • At least 5 years in cloud/platform engineering, site reliability engineering, or infrastructure leadership roles.
  • At least 3 years leading cross-functional technical programs with direct business impact.
  • Strong hands-on depth in at least two of the following: Kubernetes platforms, cloud infrastructure automation, cost optimization, observability, or continuous integration and continuous delivery systems.
  • Production experience across Amazon Web Services and Azure.
  • Ability to translate business goals into technical roadmap execution.
  • Strong written and verbal communication skills for technical and non-technical stakeholders.
  • Experience with EKS and/or AKS architecture and operations.
  • Strong hands-on depth in Terraform, OpenTofu, or Pulumi.
  • Python and/or TypeScript for workflow and operations automation.
  • Experience implementing Git-based pipelines, environment promotion, release controls, and rollback patterns.
  • Knowledge of cloud security foundations, including identity and access management, secrets management, policy enforcement, and least-privilege design.
  • Knowledge of cost optimization engineering, including rightsizing, idle resource remediation, schedule automation, and governance controls.
  • Knowledge of observability foundations, including metrics, logs, traces, alert design, and service-level-objective-oriented operating practices.

Responsibilities

  • Define the cloud engineering operating model and role boundaries across DevOps, Cloud Ops, and R&D teams.
  • Build and mentor the initial cloud engineering team and hiring pipeline.
  • Prioritize roadmap initiatives into quarterly execution plans with clear owners and milestones.
  • Establish platform and automation standards for infrastructure provisioning, continuous integration and continuous delivery integration, security controls, and reliability.
  • Lead cross-functional programs requiring coordinated cloud, platform, and application changes.
  • Ensure decisions are evidence-driven with transparent measurement and reporting.
  • Drive cloud cost optimization initiatives from audit through remediation execution.
  • Lead platform direction for managed Kubernetes in a multi-cloud operating model.
  • Lead migration programs such as Kafka to Kafka-as-a-Service and ARM adoption.
  • Establish a decision framework and rollout plan for Datadog alternatives.
  • Implement governance and automation for non-production shutdown schedules.
  • Partner with application teams to enable transitions to stateless architecture.

Desired Qualifications

  • Experience with configuration management and systems automation such as Ansible or equivalent.
  • Experience evaluating or migrating monitoring stacks, including Datadog alternatives.
  • Experience with Kafka platform migrations, including Kafka-as-a-Service adoption.
  • Experience enabling ARM64 migration and multi-architecture build and deployment practices.
  • Experience driving stateless architecture transitions and configuration externalization patterns.
  • Experience leading cloud transformation in multi-tenant or regulated environments.
  • Experience with FinOps practices and cost governance operating models.
  • Experience with platform migration programs such as Kafka-as-a-Service, ARM, and stateless modernization.
  • Experience hiring and developing high-performing platform teams.

About the Company

Centric Software

SaaS PLM platform for fashion retail

Centric Software provides SaaS PLM and related planning and analytics tools for fashion, retail, luxury, and consumer goods to manage the full product lifecycle from concept to replenishment. Its platform bundles modules like Centric PLM for product execution, Centric Planning, Centric Pricing & Inventory, Centric Market Intelligence, and Centric Visual Boards, and runs in the cloud while integrating with ERP and DAM to connect people, data, and processes. It differentiates itself with AI-enabled optimization across development, pricing, and inventory, a focused industry approach, and a history of strong partnerships and independent operation after Dassault Systèmes' majority stake. Its goal is to help brands transform product development and supply chains to move faster, collaborate more effectively, and improve profitability.

Company size
1,001-5,000
Company stage
Series D
Total funding
$118.3M
Headquarters
Campbell, CA
Founded
1997

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