Azure Cloud Engineer

Pathstone•San Francisco, CA

1d•$105,000 - $130,000

About The Position

Pathstone is seeking an Azure Cloud Engineer with strong backend engineering and automation skills to design, develop, and maintain backend systems that support DevOps, CI/CD pipelines, and operations automation in Microsoft Azure. The role focuses on building reliable APIs, services, integrations, and automation workflows that improve deployment consistency, infrastructure management, monitoring, and operational efficiency in cloud-based environments. The engineer will work closely with IT operations, security, infrastructure, and application teams to modernize deployment processes, reduce manual effort, improve system reliability, and support scalable cloud operations through automation and backend platform capabilities. The role offers collaboration with software engineers and data professionals, exposure to modern technologies, and opportunities for professional growth and hands-on experience with solutions that shape the business. Pathstone is a wealth management firm serving ultra-high-net-worth families, single-family offices, foundations, and endowments. The firm has more than 20 office locations and over $185 billion in client assets under management, advisory, administration, and related services. The expected starting base compensation range is $105,000–$130,000 per year. Successful candidates may also be eligible for a discretionary bonus. Pathstone cannot provide employment visa sponsorship.

Requirements

Proficiency in programming and scripting languages such as C#, .NET, TypeScript, Python, and/or PowerShell.
Experience designing and building backend services, APIs, integrations, and automation workflows.
Experience building cloud-native solutions and supporting modern CI/CD pipelines and DevOps practices for scalable, secure deployments.
Familiarity with Microsoft Azure services and cloud-native patterns for application hosting, automation, integration, and operations.
Understanding of source control practices and CI/CD tooling used to manage build, test, release, and deployment workflows.
Familiarity with infrastructure-as-code concepts and repeatable environment management practices.
Knowledge of databases, including SQL, MongoDB, and NoSQL, and data modeling.
Understanding of monitoring, reliability, and operational support considerations in distributed systems.
Strong problem-solving skills and attention to detail.
Excellent communication and teamwork abilities.

Nice To Haves

Experience with Azure services used for backend integration and automation, such as App Service, Azure Functions, Logic Apps, API Management, and related platform services.
Familiarity with containerization and orchestration, such as Docker and Kubernetes.
Experience with observability, logging, and monitoring tools in cloud environments.
Experience working in secure or regulated environments and collaborating closely with infrastructure, security, and operations teams.
Experience implementing secure software delivery practices across development and deployment pipelines.
Familiarity with or hands-on experience using AI-powered productivity tools to enhance efficiency, collaboration, and work quality.

Responsibilities

Design, develop, and maintain backend services, APIs, and integrations that support deployment automation and cloud operations.
Build reusable CI/CD, infrastructure, and operational automation patterns using infrastructure-as-code and secure DevOps practices.
Develop integrations across Azure services and enterprise platforms to improve deployment efficiency and reduce manual effort.
Collaborate with infrastructure, security, operations, and application teams to modernize platform engineering capabilities.
Improve platform reliability, performance, monitoring, and operational visibility across cloud environments.
Maintain engineering standards through code reviews, testing, documentation, and continuous improvement activities.
Stay current with emerging cloud, automation, platform engineering, and DevOps technologies.