Sr Cloud Engineer

TITLE: Sr Cloud EngineerTYPE: Direct HireLOCATION: Souderton, PAONSITE/REMOTE/HYBRID: Hybrid, onsite 1-2 days per weekSTART DATE: June 2026SHIFT: Monday – Friday, standard business hoursWe are seeking a Senior Cloud Engineer to lead the design, implementation, optimization, and ongoing support of enterprise cloud infrastructure platforms, with a primary focus on Amazon Web Services (AWS) and secondary support for Microsoft Azure environments. This is a hands-on infrastructure engineering role centered on cloud platforms and core infrastructure services rather than application development. The Senior Cloud Engineer will work closely with infrastructure, security, networking, and application teams to ensure cloud environments are secure, scalable, reliable, and aligned with operational and business objectives. This role contributes deep technical expertise within established architectural standards while supporting infrastructure modernization initiatives and select data or analytics platform workloads as needed.MAIN RESPONSIBILITIESSupport and maintain cloud platform services including compute, storage, networking, identity management, and security services.Build reusable infrastructure modules and automate provisioning and deployment processes.Apply strong knowledge of cloud platform capabilities to guide service selection, architectural patterns, and operational decisions.Develop and maintain Infrastructure-as-Code (IaC) solutions using tools such as Terraform, ARM/Bicep, or CloudFormation.Design, deploy, manage, and optimize cloud infrastructure environments primarily within AWS and secondarily within Azure.Implement automation for configuration management, policy enforcement, monitoring, and operational workflows to improve consistency and reduce manual effort.Establish and maintain platform SLAs, SLOs, monitoring standards, and capacity baselines.Promote knowledge sharing and technical collaboration across infrastructure and engineering teams.Support cloud cost optimization initiatives, including tagging strategies, rightsizing, budgeting, usage monitoring, and commitment management.Partner with finance and technology leadership on FinOps and cloud governance efforts.Implement and maintain security best practices including identity and access management, encryption, network segmentation, private connectivity, and key management controls.Collaborate with security teams to support compliance requirements and enterprise security standards.Identify and proactively address performance, scalability, and reliability risks within cloud environments.Design and support infrastructure environments for data and AI-related platforms, including Databricks, Microsoft Fabric, and machine learning workloads.Develop and maintain technical documentation, standards, operational procedures, and runbooks.QUALIFICATIONSBachelor's degree in Computer Science, Information Technology, or related field, or equivalent hands-on experience7–10+ years of experience in infrastructure engineering, cloud engineering, or platform engineering rolesRelevant cloud certifications such as AWS Solutions Architect – Professional or Azure Solutions Architect Expert preferredStrong hands-on experience designing and supporting AWS environments in enterprise production settingsAWS production support experience required; Azure experience strongly preferredWorking knowledge of Microsoft Azure cloud services and administrationStrong understanding of cloud networking concepts including VPNs, Direct Connect, ExpressRoute, DNS, private endpoints, and hybrid connectivityExpertise with Infrastructure-as-Code tools including Terraform, ARM/Bicep, or CloudFormationExperience with automation and CI/CD pipelines such as GitHub Actions or Azure DevOpsExperience with cloud identity and access management technologies including AWS IAM and Entra ID/Azure ADFamiliarity with observability, logging, monitoring, and incident response tools such as CloudWatch, Azure Monitor, or DataDogUnderstanding of enterprise security frameworks, governance standards, and compliance controlsExperience supporting enterprise cloud platforms within large-scale production environmentsStrong communication skills with the ability to translate technical concepts into business valueKnowledge of AI/data platforms including Databricks, Microsoft Fabric, or machine learning infrastructure workloads desiredExperience supporting AI, analytics, or data engineering environments considered a plusEOE STATEMENTWe are an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law.