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SR. CLOUD Engineer; AZURE - M-Logic

Job in Stamford, Fairfield County, Connecticut, 06925, USA
Listing for: Jobs via eFinancialCareers
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer
Salary/Wage Range or Industry Benchmark: 275000 USD Yearly USD 275000.00 YEAR
Job Description & How to Apply Below
Position: SR. CLOUD ENGINEER (AZURE) - M-Logic

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

Required:

  • Bachelor’s or Master’s degree in computer science, engineering, or a related STEM field.
  • 5+ years’ experience in cloud engineering across networking, storage, compute, and platforms in MS Azure cloud.
  • Extensive experience with Infrastructure as Code tools such as Terraform, Cloud Formation, or ARM templates.
  • Proficiency in scripting languages like Python, Power Shell, or Bash for automation tasks.
  • Strong knowledge of configuration management tools (e.g., Ansible, Chef, Puppet).
  • Experience with containerization technologies and orchestration platforms (e.g., Docker, Kubernetes).
  • Expertise in designing and implementing CI/CD pipelines using tools like Jenkins, Git Lab CI, or Azure Dev Ops.
  • Familiarity with monitoring and logging solutions such as Cloud Watch, Prometheus, or ELK stack.
  • Strong problem‑solving skills and ability to work independently on complex issues.
  • Excellent communication skills for leading teams, communicating with stakeholders, and cross‑team collaboration. Knowledge of cloud security best practices and compliance standards.
  • Knowledgeable in data security and privacy requirements; with applicability to the financial industry a plus.

Preferred:

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