Principal Cloud Engineer

As one of the worlds leading independent global investment firms Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities we provide a wide range of investment strategies and vehicles to our clients around the world. If youre looking for challenging work intelligent colleagues and exposure across a global footprint come explore your potential at Invesco.

The Principal Cloud Engineer is a senior technical leader responsible for designing engineering and evolving the enterprise Azure cloud platform while enabling the next generation of AI-powered engineering capabilities. This role drives cloud platform architecture automation governance developer productivity and Generative AI adoption across the organization. The Principal Cloud Engineer partners closely with application teams security and infrastructure teams to deliver secure scalable resilient and cost-effective cloud solutions while leveraging Azure and GenAI technologies to accelerate delivery automate operations reduce cognitive load and improve engineering efficiency.

Platform Engineering & Architecture

• Design and evolve Azure cloud platform capabilities landing zones and shared services.
• Define reference architectures engineering standards and reusable patterns that enable secure and scalable cloud adoption.
• Lead technical decisions related to cloud architecture resiliency security observability and operational excellence.
• Evaluate and introduce emerging Azure cloud-native and Generative AI technologies that enhance platform capabilities operational efficiency and developer productivity.
• Help establish enterprise patterns for AI-enabled platforms automation and intelligent operations.

Automation AI & Cloud Operations

• Drive Infrastructure as Code platform automation and self-service capabilities using modern cloud engineering practices.
• Design and implement CI/CD GitOps and platform engineering solutions that simplify cloud consumption and reduce operational overhead.
• Leverage Generative AI capabilities to automate engineering workflows operational processes incident response knowledge management and developer support.
• Establish governance compliance and policy-as-code controls across cloud environments.
• Partner with teams to improve operational reliability lifecycle management and cloud engineering efficiency through automation and AI-assisted solutions.

Cloud Consulting & Modernization

• Guide application teams through cloud migration modernization cloud-native transformation and AI adoption initiatives.
• Provide expertise in security identity and enterprise cloud architecture.
• Serve as a trusted technical advisor for complex cloud platform and AI-enabled engineering initiatives.

Technical Leadership

• Act as a senior technical authority for Azure cloud engineering platform strategy and AI-enabled engineering practices.
• Mentor engineers and promote engineering excellence automation and AI adoption across the organization.
• Lead technical governance activities and strategic cloud initiatives.
• Foster a culture of innovation continuous improvement and responsible use of Generative AI technologies.

Experience

• 10 years of infrastructure platform or cloud engineering experience.
• 5 years of hands-on Azure engineering and architecture experience in enterprise environments.
• Experience designing and operating large-scale cloud platforms.
• Experience with Infrastructure as Code automation frameworks and modern DevOps practices.
• Experience leading complex technical initiatives across multiple teams.
• Experience leveraging automation AI-assisted engineering tools or Generative AI capabilities to improve engineering productivity and operational outcomes.

Technical Skills

• In depth knowledge of Microsoft Azure foundational platform services.
• Expert level knowledge of Infrastructure as Code using Terraform.
• CI/CD Git-based development workflows and platform automation.
• Kubernetes container platforms and cloud-native technologies.
• Cloud security identity governance and observability practices.
• Proficient in Python.
• Familiarity with Generative AI platforms AI agents prompt engineering AI-assisted development tools or enterprise AI architectures.

Preferred Qualifications

• Azure Solutions Architect Expert Azure Administrator or related certifications.
• Experience with multi-cloud environments including AWS.
• Experience building platform engineering or internal developer platform capabilities.
• Experience supporting enterprise-scale regulated environments.
• Experience designing deploying or operating infrastructure and governance controls for AI-enabled applications.

Pursuant to Invescos Workplace Policy employees are expected to comply with the firms most current workplace model which as of October 1 2025 includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships collaborate more easily and support each others growth and development.

The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time.

Invescos culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race creed color religion sex gender gender identity sexual orientation marital status national origin citizenship status disability age or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.