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SR. CLOUD ENGINEER (AZURE) - M-Logic

M-LogicStamford, CT🇺🇸United StatesPosted 21 Aug 2026

Why This Role Stands Out

Leverage your expertise in Azure to architect and lead innovative cloud solutions within a leading global credit investing firm, with a competitive total compensation of $275k+ DOE and hybrid flexibility. This role is ideal for a driven Senior Cloud Engineer who thrives on automation, Infrastructure as Code, and mentoring teams, offering significant career growth and impact. Apply today to shape the future of cloud infrastructure in a dynamic financial environment!

Quick Overview

Salary
$275k/yr
Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Stamford, CT, United States
Posted
6 days ago
DockerELKAnsibleAzureBashChefCloudFormationGitLab CIJenkinsKubernetesPowerShellPrometheusPuppetPythonTerraform

Job Description

Senior Cloud Engineer

FTE | Stamford, CT or Charlotte, NC | Hybrid (3/2)

Total Comp: $275k+ DOE

Firm Overview

Our client is a leader in global credit investing. The firm oversees $35+ billion in assets through a comprehensive credit platform that includes direct lending, structured credit, and special situations investment strategies.

Key Responsibilities:

  1. Architect, design, deploy, manage and lead cloud infrastructure in MS Azure cloud.
  2. Develop and implement cloud strategies, focusing on automation and Infrastructure as Code (IaC) principles.
  3. Lead efforts to migrate existing infrastructure and applications to cloud environments.
  4. Create and maintain tools for deployment, monitoring, and operations across all environments.
  5. Collaborate with software development and data science teams to ensure seamless deployments of cloud-native apps.
  6. Troubleshoot and resolve complex issues in pre-production and production environments.
  7. Implement and manage continuous integration and continuous deployment (CI/CD) pipelines.
  8. Provide technical guidance and mentorship to team members on cloud technologies and best practices.
  9. Define cloud governance and ensure adherence to standards across the organization.
  10. Stay up to date with industry trends and advancements in cloud technologies.

Qualifications/Skills

Required:

  1. Bachelors or Masters degree in computer science, Engineering, or a related STEM field.
  2. 5+ years’ experience in cloud engineering across networking, storage, compute, and platforms in MS Azure cloud.
  3. Extensive experience with Infrastructure as Code tools such as Terraform, CloudFormation, or ARM templates.
  4. Proficiency in scripting languages like Python, PowerShell, or Bash for automation tasks.
  5. Strong knowledge of configuration management tools (e.g., Ansible, Chef, Puppet).
  6. Experience with containerization technologies and orchestration platforms (e.g., Docker, Kubernetes).
  7. Expertise in designing and implementing CI/CD pipelines using tools like Jenkins, GitLab CI, or Azure DevOps.
  8. Familiarity with monitoring and logging solutions such as CloudWatch, Prometheus, or ELK stack.
  9. Strong problem-solving skills and ability to work independently on complex issues.
  10. Excellent communication skills for leading teams, communicating with stakeholders, and cross-team collaboration. Knowledge of cloud security best practices and compliance standards.
  11. Knowledgeable in data security and privacy requirements; with applicability to the financial industry a plus.

Preferred:

  1. Relevant cloud certifications in cloud technologies with a preference towards Azure.
  2. Experience leading a team and/or complex projects.
  3. A track record of building strong collaborative relationships across an organization.
  4. Experience with SSPM and/or CSPM technologies.
  5. Cloud infrastructure cost management, optimization, and efficiency experience.
  6. A track record of delivering projects that meet strategic business goals.
  7. A foundational understanding of financial markets and various trading instruments or a willingness to learn.
  8. The ideal candidate will have a proven track record of implementing large-scale cloud solutions with a focus on automation

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