Senior Cloud Engineer

We 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., * Support 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.

Do you have experience in Terraform?, Do you have a Bachelor’s degree?, * Bachelor’s degree in Computer Science, Information Technology, or related field, or equivalent hands-on experience

• 7-10+ years of experience in infrastructure engineering, cloud engineering, or platform engineering roles
• Relevant cloud certifications such as AWS Solutions Architect - Professional or Azure Solutions Architect Expert preferred
• Strong hands-on experience designing and supporting AWS environments in enterprise production settings
• AWS production support experience required; Azure experience strongly preferred
• Working knowledge of Microsoft Azure cloud services and administration
• Strong understanding of cloud networking concepts including VPNs, Direct Connect, ExpressRoute, DNS, private endpoints, and hybrid connectivity
• Expertise with Infrastructure-as-Code tools including Terraform, ARM/Bicep, or CloudFormation
• Experience with automation and CI/CD pipelines such as GitHub Actions or Azure DevOps
• Experience with cloud identity and access management technologies including AWS IAM and Entra ID/Azure AD
• Familiarity with observability, logging, monitoring, and incident response tools such as CloudWatch, Azure Monitor, or DataDog
• Understanding of enterprise security frameworks, governance standards, and compliance controls
• Experience supporting enterprise cloud platforms within large-scale production environments
• Strong communication skills with the ability to translate technical concepts into business value
• Knowledge of AI/data platforms including Databricks, Microsoft Fabric, or machine learning infrastructure workloads desired
• Experience supporting AI, analytics, or data engineering environments considered a plus