Job Description

• Apply depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with stakeholders on a regular basis

• Develop and engineer solutions within an Agile software delivery team, working to collaboratively deliver sprint goals, write code, and participate in the broader Citi technical community and team-level Agile and Scrum processes.

• Contribute to the design, documentation, and development of world-class enterprise applications leveraging the latest technologies and software design patterns.

• Leverage technical knowledge of concepts and procedures within own area and basic knowledge of other areas to resolve issues, as necessary.

• Follow and contribute to defining technical and team standards.

• Collaborate technical leadership to achieve established goals, in line with our broader technical strategy.

• AI-Driven Development: Leverage AI tools, such as GitHub Copilot, to enhance development efficiency, accelerate delivery timelines, and optimize software solutions.

͏

• AI Landscape Awareness: Maintain awareness of the rapidly evolving AI landscape and proactively propose innovative approaches to implement product features.

• Problem Solving and Troubleshooting: Possess the expertise to analyze and effectively troubleshoot complex coding, application performance, and design challenges.

• Root Cause Analysis: Capable of conducting thorough research to identify the root causes of development and performance issues, as well as devising and implementing effective defect resolutions.

• Technical Acumen: Demonstrate a profound understanding of the technical requirements pertinent to the solutions under development.

• Containerization and Orchestration: Utilize Docker for application containerization and Kubernetes for efficient service orchestration.

• Communication and Risk Management: Effectively communicate progress, proactively anticipate bottlenecks, provide skilled escalation management, and adeptly identify, assess, track, and mitigate issues and risks across various levels.

• Process Optimization: Streamline, automate, or eliminate redundant processes within architecture, build, delivery, production operations, or business areas where similar efforts or issues recur annually.