Software Engineer, Automation Engineering

As a Software Engineer at the company, your main responsibility will be to deliver application modules independently while also guiding associate/entry level Engineers. You will work in an Agile/scrum software development team to build and support the company's internal software systems. The systems you will work on are enterprise-scale browser based or mobile applications using Microsoft development languages and technologies. **Key Responsibilities:** - **Technical Delivery (80%):** - Work on developing and updating enterprise applications. - Participate fully in Agile team events and activities. - Identify technical steps required to complete a story and evaluate product backlog items. - Collaborate with team members to analyze user stories and complete tasks as per sprint schedule. - Follow standard application design and architecture to ensure non-functional metrics are met. - Prepare work estimates, write unit test plans, and participate in testing and implementation of application releases. - Provide ongoing support for applications in use and acquire new skills through training. - Contribute to process improvement and write technical documentation as required. - **Research (10%):** - Evaluate and use new technologies for software application delivery. - Research and evaluate tools and technologies for future initiatives. - Share concepts and technologies with the Software Development team. - **Communication (10%):** - Present technical findings and help enhance team experience. **Qualifications:** - 3-5 years of experience in software development. - Experience with agile methodologies. - Strong communication, customer service, analytic, and problem-solving skills. - T-shaped behavior to expedite delivery. **Technical Requirements:** - Strong experience with Python, TypeScript/JavaScript, and SQL. - Familiarity with modern web frameworks, backend development, cloud platforms, software architecture patterns, database design, CI/CD, DevOps practices, and security fundamentals. - Knowledge of authentication mechanisms and AI/ML integration. **Preferred Skills:** - Knowledge of IT Infrastructure and Network technologies. - Experience with leading RPA platforms, Low-Code platforms, Workflow automation tools, Visualization Tools, and AI Coding Agents.,