About the role
Location : Pune, Mumbai , Bengaluru , Hyderabad, Gurugram
Note : Only apply if you have strong/ hands on experience with Vuejs and Nodejs - these are mandatory skills
Responsibilities:
- Design, develop, and implement custom software and database application capabilities for a variety of legacy and modernized systems with guidance from senior developers and architects.
- Integrate AI capabilities into existing and new applications, leveraging LLMs, agents, and automation to enhance functionality and user experience.
- Stay current on emerging AI technologies, frameworks, and patterns; contribute recommendations for adoption where they add measurable value.
- Participate in organizational web platform efforts such as quality assurance, upgrade survivability, and resiliency.
- Do your part in release and sprint planning, story creation, sprint testing, regression testing, user acceptance testing, demonstrations, retrospectives, and solution releases.
- Ensure product quality and timeliness of work, resolving problems to meet engineering guidelines.
- Provide follow-on support for post-production release features, including on-call rotation support (approximately 1 week per quarter).
- Act as a member of a product team, supporting teammates and collaborating with a proactive attitude to ensure product and team success.
- Perform other tasks as identified by your manager to enable team success.
Qualifications:
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Bachelor's degree in Computer Science, Management Information Systems, or Supply Chain.
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35 years of experience with various technologies such as:
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Development: JavaScript/Node.js/Vue.js, Groovy/Grails, Java/Spring Boot, and Software AG webMethods
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Database Technologies: MongoDB, Oracle, PostgreSQL, PL/SQL
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Testing: Vitest, Jest, Ava, JUnit, Playwright
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Containers: OpenShift, Kubernetes, Docker, Tanzu/Cloud Foundry
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CI/CD: GitHub, Codefresh, Jenkins
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Exposure to AI development tools and coding assistants (e.g., GitHub Copilot, Windsurf, Claude).
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Basic understanding of AI principles including LLMs, RAG, agents, and prompt engineering.
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Exposure to integrating AI capabilities into application workflows is a plus.
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Familiarity with AI SDKs and frameworks (e.g., OpenAI SDK, LangChain) is a plus.
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Familiarity or working experience with web development using Agile methodology.
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Test-first mindset across all levels of application development, including unit, functional, end-to-end, and regression testing.
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Critical thinker with the ability to break down technical requirements.
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Strong communication skills able to communicate ideas clearly and concisely; experience with diagramming/presentation tools such as Lucid or PowerPoint.
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Result-driven and self-motivated, with the ability to work effectively both independently and as part of a team.
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