Job Description
Broad outline of the Role
This role is responsible for the end-to-end development of software applications, including design, coding, testing, debugging, and implementation of applications with a focus on operational excellence, tactical execution, and collaboration with cross-functional teams. The role ensures the delivery of high-quality, innovative software solutions that align with business objectives. The role encourages the use of AI tools and methodologies to enhance productivity and support current workflows, with an emphasis on responsible experimentation and upskilling.
Minimum Qualifications & Experience
Graduation in Computer Science and Engineering or a related field 4-7 years relevant experience.
Other Knowledge & Skills
Agile Software Development
Java, Python
Spring Boot
UI or UX Designing
API Integration
Automation Testing
Cloud Computing
Microservices
AI-DevOps
Exposure to AI and Machine Learning Tools (for supportive tasks, not as a core requirement)
Prompt Engineering
Generative AI
AI Analysis
AI Application Development
Key Responsibilities
Participate in design discussions and planning meetings to optimize development strategies, including the use of AI-powered coding assistants where practical.
Develop and implement applications using programming languages (e. g. , Java, Python), with the option to leverage AI-powered code suggestion tools to improve efficiency and reduce errors.
Utilize AI-driven platforms for supportive tasks such as code review, documentation drafting, and basic test case generation
Translate designs into high-quality code throughout the AI-assisted SDLC
Define and refine infrastructure and deployment requirements, using available analytics tools to support resource allocation decisions.
Build and maintain tools for automated testing, deployment, monitoring, and analysis, integrating AI-based solutions where feasible to support continuous improvement.
Integrate software components and third-party programs, including those with AI enhancements, to improve functionality and interoperability.
Conduct testing, troubleshooting, debugging, and upgrading of software, using AI-augmented tools for supportive analysis and reporting.
Create and maintain technical documentation, use AI tools for initial drafts or summaries, .
Collaborate with Product Owners and teams to leverage AI tools for efficient story grooming, backlog maintenance, and sprint planning, .
Design and execute test strategies, incorporating AI-based test automation tools where available to improve coverage and efficiency.
Analyze test reports, including those generated by AI tools, to prioritize fixes and enhancements, while maintaining oversight of final decision-making.
About Company
Tata Communications is a digital ecosystem enabler that powers today’s fast-growing digital economy. We enable the digital transformation of enterprises globally, including 300 of the Fortune 500. We carry around 30% of the world’s internet routes and connects businesses to 60% of the world’s cloud giants.
We have been a part of the rich heritage of the internet in India. Over the last 25 years, enterprise-enabled services have been essential to the adoption of digital services in the country. Connectivity is an essential fabric of sustenance for the economy. We are committed to enabling Industry leaders in this New World of Communications™, with our unique promise of delivering secure connected digital experiences.
In 2020, we announced the launch of ‘Secure Connected Digital Experience’ (SCDx), a proposition intended to meet this growing, worldwide demand for new ways of operating, which includes far higher levels of working from home, rising security risks, a shift to digital commerce, and more contactless experiences. It will help companies currently relying on short-term fixes by providing holistic, secure, enterprise-level digital solutions that address current challenges and are fit for the long term.
