Assistant Manager

14 hours ago

Delhi, Delhi, India Tata Communications Limited Full time
Job Description

Overview /Role Summary:
The Assistant Manager in Software & Application Development is responsible for managing the end-to-end development lifecycle of software applications, with a focus on leveraging modern development practices and selectively utilizing AI tools to enhance productivity and quality. The role emphasizes optimizing software development processes through the use of supportive AI-driven tools where appropriate, ensuring robust, maintainable software solutions that align with current business needs and support ongoing operations.

Key Role & Responsibilities:
- Participate in design discussions and planning meetings, exploring opportunities to use AI-powered tools to improve efficiency.
- Develop and maintain applications, utilizing AI-augmented programming tools to support core development tasks.
- Translate designs into high-quality code, using AI tools for code review and optimization where available, while maintaining accountability for code quality.
- Contribute to defining infrastructure and deployment strategies, considering insights from AI-driven analytics tools for monitoring and basic trend identification.
- Build and maintain tools for automated testing, deployment, and operational analysis, with selective use of AI-based test case generation or error detection tools as pilots.
- Integrate software components and third-party tools, including experimenting with AI-based APIs or libraries to enhance specific functionalities.
- Oversee development, testing, troubleshooting, debugging, and upgrading of software, using AI tools for supportive tasks such as static code analysis or automated bug triage.
- Create and maintain technical documentation, incorporating AI-generated summaries or suggestions to improve clarity and completeness.
- Collaborate with Product Owners and teams to refine backlogs and planning, using AI-enabled analytics for basic trend analysis or effort estimation as part of ongoing experimentation.
- Design and implement test strategies and tools for automated testing, piloting AI and machine learning techniques for test optimization where feasible, while maintaining traditional testing rigor.

Minimum Qualification & Experience:
Graduation in Computer Science and Engineering or a related field
4-7 years relevant experience

Capability:
- Proficient in prompt engineering, code and test case writing, with openness to using AI-assisted tools for productivity enhancement.
- Skilled in unit testing and integration testing using automated systems, with exposure to AI-based testing tools as part of ongoing pilots.
- Strong understanding of software engineering concepts, with a willingness to learn and experiment with AI and machine learning applications relevant to the function.
- Experienced in scrum/Agile methodologies, with familiarity in using AI-enabled project management or collaboration tools where available.

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