Senior Cloud Engineer

Job Description

Requirements
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### Must have:

### - 7+ years of cloud infrastructure engineering experience with hands-on delivery in both AWS and Azure - Strong command of Infrastructure as Code; Terraform is required, with ARM/Bicep or CloudFormation considered a plus - Practical experience with Azure DevOps, Entra ID, Security Center, Conditional Access, Policy, and Microsoft Intune - Solid AWS platform knowledge, including EC2, VPC, IAM, S3, Lambda, CloudFormation/CDK, Organizations, Control Tower, Security Hub, and GuardDuty - Advanced scripting ability in PowerShell and/or Python, plus experience with Azure CLI, AWS CLI, and REST/Graph API integrations - Working understanding of security frameworks such as NIST and CIS as they relate to cloud architecture decisions - Familiarity with AI/ML infrastructure patterns, including API-connected services, compute planning, and data architecture for AI deployment at scale - Strong written and verbal communication skills, with the ability to explain complex technical concepts to both client stakeholders and junior engineers - Demonstrated ability to produce architecture documentation, runbooks, and technical SOPs - Bachelors degree in Computer Science, Information Systems, or equivalent professional experience - Preferred: experience with advanced Azure and AWS networking, observability, disaster recovery, DevSecOps, FinOps, and IAM integrations with platforms such as Okta or Duo - Preferred: relevant Azure, AWS, Terraform, or cybersecurity certifications

Responsibilities:
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- Design, deploy, and manage cloud infrastructure across AWS and Azure using Infrastructure as Code - Build and refine CI/CD pipelines to support continuous integration and delivery - Oversee cloud governance, cost control, and resource lifecycle management in multi-cloud environments - Implement and maintain cloud security posture using native platform tools - Work directly with clients to gather requirements, shape solutions, and communicate implementation plans clearly - Translate business needs into well-documented cloud architectures and implementation approaches - Join discovery sessions, technical reviews, and ongoing client relationship discussions - Design and enforce identity and access management solutions across Entra ID, AWS IAM, and third-party platforms - Ensure solutions align with NIST and CIS security frameworks and support SOC 2 compliance requirements - Automate infrastructure provisioning, lifecycle activities, and routine operations using scripting and cloud APIs - Create and maintain detailed technical documentation, including diagrams, runbooks, SOPs, and implementation records - Develop reusable patterns, templates, and modules to improve delivery efficiency - Support the creation of AI-ready cloud environments for compute, secure connectivity, and data pipelines - Collaborate on AI governance and adoption initiatives, contributing cloud expertise to responsible AI deployment - Keep current on emerging AI infrastructure approaches and recommend relevant improvements - Act as a senior escalation resource for complex infrastructure and endpoint issues - Mentor junior engineers and facilitate technical workshops or knowledge-sharing sessions - Contribute to engineering standards, toolchain choices, and delivery practices
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Company:
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We are Soteria, a SOC 2 Type II certified Managed Service Provider and Cloud Solution Provider delivering secure, scalable, modern IT solutions for clients in the insurance and financial services industries. Our team works across the US, UK, EU, Caribbean, and Asia-Pacific, and we move quickly while maintaining high standards and a strong focus on quality, security, and compliance. This is a fully remote, full-time role reporting to our Director of Engineering, and we provide a complete tech kit from day one. We also offer competitive compensation, a semi-annual bonus, employer-paid benefits, and a 401(k) match. We are part of the Anthropic Claude Partner Network and operate at the intersection of cloud infrastructure and AI enablement, building AI-ready environments for both our business and our clients.
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