Sr. Cloud Engineer

The Senior Cloud Engineer is a senior-level, hands-on technical role responsible for the design, implementation, reliability, and continuous improvement of Dorman's cloud infrastructure platforms, with a primary focus on Amazon Web Services (AWS) and secondary support for Microsoft Azure. This role focuses on cloud infrastructure and platform services, not application development. The Senior Cloud Engineer is an integral member of the infrastructure and data center teams and works closely with security, network, and application teams to ensure environments are secure, scalable, cost-effective, and aligned with business priorities. The Senior Cloud Engineer operates within established architectural standards and platform direction, contributing deep technical expertise to support core infrastructure and select data or analytics workloads as needed.

This is a hybrid role in our corporate headquarters in suburban Philadelphia (Colmar, PA) with the expectation to be onsite two days per week. Preference will be given to local talent.

• Design, build, and operate cloud infrastructure platforms primarily in AWS and secondarily in Azure, including compute, storage, networking, identity, and security foundations.
• Apply broad, working knowledge of both hyperscalers to guide service selection, platform patterns, and operational tradeoffs.
• Own and evolve Infrastructure-as-Code (IaC) using Terraform, ARM/Bicep, or CloudFormation; establish modular, reusable components and automated provisioning.
• Automate policy enforcement, observability baselines, configuration management, and operational workflows to reduce drift and toil.
• Establish platform SLAs/SLOs, capacity baselines, and monitoring; proactively address scaling and reliability risks.
• Implement cost management and FinOps practices (tagging standards, rightsizing, commitments, budgets/alerts) with finance and technology leadership.
• Enforce identity/access controls, network isolation/private connectivity, encryption, key management, and compliance in partnership with security.
• Design and support infrastructure for AI/data platforms (Databricks, Microsoft Fabric, ML training/inference), ensuring performance, scalability, security, and cost efficiency.
• Champion documentation, standards, runbooks, and knowledge sharing across teams.

• Strong AWS depth with working Azure knowledge.
• Demonstrated experience delivering and operating production cloud platforms in enterprise environments.
• Expertise with IaC (Terraform, ARM/Bicep, CloudFormation) and automation pipelines (e.g., GitHub Actions, Azure DevOps).
• Working knowledge of virtual networking, hybrid connectivity (VPN/ExpressRoute/Direct Connect), DNS, private endpoints, and identity (Entra ID/Azure AD, AWS IAM).
• Knowledge of data/AI platforms such as Databricks, Microsoft Fabric, and compute-intensive ML workloads desired.
• Observability and incident response fundamentals (DataDog, CloudWatch/Azure Monitor, logging/tracing).
• Familiarity with security and compliance frameworks and enterprise controls.
• Excellent communication; ability to translate technical decisions into business value.

• Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent hands-on experience.
• 7 to 10+ years in infrastructure, cloud, or platform engineering roles.
• Hands-on experience operating AWS in production required, knowledge of Azure strongly preferred.
• Relevant certifications preferred: AWS Solutions Architect - Professional, Azure Solutions Architect Expert.
• Experience supporting AI, data engineering, or analytics platforms (Databricks, Microsoft Fabric) a plus.

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