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Citigroup AVP - Public Cloud Services - Cloud Infrastructure Storage in Irving, Texas

Citi’s Enterprise Infrastructure Operations & Technology organization (EIO&T) is driving an innovative Cloud First strategy that works to optimize the IT environment, reduce complexity, and implement high degrees of automation to enable more agile application delivery. We aim to give Citi businesses a competitive edge by leveraging cloud scale architectures and enabling new infrastructure economics. EIO&T operates as a technology company focused on implementing scalable and innovative next gen technology solutions that will shape the future of global banking.

The Public Cloud Storage Engineer will be instrumental in implementing the architecture and the engineering processes and best practices to enable the foundational infrastructure (compute, network, storage, observability) required for application hosting in public cloud. This role is responsible for all infrastructure segments from hardware selection, operating systems and virtualization layers to cloud management tooling, monitoring, and orchestration. The ideal candidate has experience in professional software development, designing and creating highly available cloud systems, and has the ability to implement cloud strategy. Advanced industry knowledge is key, as well as knowledge in building an engineering organization. The role requires a talented technologist with experience engaging with application developers throughout the full development life-cycle – from inception and design to deployment, operation, and iterative development.


  • Provide foundational infrastructure for public cloud (compute, storage, network)

  • Deliver the tooling and capabilities needed to enable our cloud first strategy

  • Provide developer-friendly cloud onboarding, account creation and management for supported cloud providers

  • Provide o11y products like ELK, Elasticsearch, Kibana, Prometheus, etc. to engineering teams for centralized logging, APM tooling, monitoring and alerting

  • Ensure compliance to regulations and policy by implementing accurate requirements traceability

  • Provide cloud network services to enable a fast and resilient hybrid cloud with built in security capabilities

  • Develop, cascade and enforce engineering best practices using modern SDLC that enables CI/CD and favors automation, auditability, automated testing, infrastructure and policy as code

  • Provide technical leadership in the design of highly complex cloud systems

  • Develop and advocate for new cloud native solutions to undefined system needs, where no solution is available within the technical community

  • Drive client satisfaction by identifying and developing process improvement and automation initiatives while ensuring compliance of solutions to operations roadmap

Basic Qualifications

  • Undergraduate degree in related field or equivalent experience

  • Hands on experience developing and engineering software and consumer facing applications

  • Familiarity with Domain Driven Design and Event Driven Architecture

  • Experience working with relational/NoSQL databases

  • Experience working in a distributed, cloud-based environment using Azure/AWS/GCP (Docker/Kubernetes)

  • Experience in developing software using languages such as Java, Python, C++ or Ruby.

  • Experience with Service Oriented Architecture applications and cloud-based services, preferably AWS.

  • Experience with modern SDLC tools, branching strategies, and ability to develop and enforce CI/CD practices

  • Experience working with Linux/UNIX, Docker

Preferred Qualifications

  • Bachelor's Degree in Computer Science, Engineering, or related field

  • Familiarity with AWS, GCP and/or Azure

  • You follow the latest in software engineering and open source technologies, and can intuit the fine line between promising new practice and overhyped fad

  • Systematic problem-solving approach with excellent communication skills and a sense of ownership and drive

Job Family Group:


Job Family:

Systems & Engineering

Time Type:

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