Sr. Cloud Engineer

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Date: Jul 3, 2026

Location: Colmar, PA, US, 18915

Company: Dorman Products

Dorman was founded on the belief that people should have greater freedom to fix motor vehicles. For over 100 years, we have been driving new solutions, releasing tens of thousands of aftermarket replacement products engineered to save time and money, and increase convenience and reliability. Founded and headquartered in the United States, we are a pioneering global organization offering an always-evolving catalog of automotive, heavy-duty and specialty vehicle products. Today, we have more than 3,800 employees across 29 different locations, with a family of brands that also includes SuperATV and Dayton Parts. Teaching a revenue of $2.13 billion in 2025, Dorman is publicly traded under the stock ticker DORM.

Everyone who works at Dorman is called a Contributor. We need everyone, regardless of role and experience, to contribute to our success. That means everyone has a unique ability to make an impact on the business. We encourage all our Contributors to bring their authentic selves to work. The freedom to pursue new ideas, offer different perspectives, and grow in your career is fundamental to working at Dorman.

Job Summary

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.

Primary Duties

• 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.

Qualifications

• 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.

Education / Experience

• 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.

#LI-EK1

The US base salary range for this full-time position is $115,300.00 to $171,500.00. This role is also eligible for a bonus. The actual base pay offered to the successful candidate will depend on multiple factors, including but not limited to job-related knowledge and skills, experience, business needs, geographical location, and internal pay equity. Compensation decisions are made based on the specific facts and circumstances of each role and candidate.

As a Dorman US contributor, you (and eligible dependents, as applicable) will have access to medical, dental, vision, basic life insurance, paid time off (sick/vacation), and Paid Parental Leave. U.S. employees are entitled to paid holidays, floating holidays, and paid time off starting in their first year of employment depending on hire date. You are also able to participate in our 401k retirement plan (with company match and profit-sharing) and Discounted Employee Stock Purchase Plan.

Dorman Products is an equal opportunity employer; we value a combination of ideas, perspectives, and cultures at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sex, gender identity, sexual orientation, age, marital status, veteran status, or disability status. EEO/AA Employer M/F/D/V.