Assistant Manager | Fullstack Java | Hyderabad | Engineering as a Service/ Operate

Key Responsibilities

• 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.