Posted:3 hours ago|
Platform:
Work from Office
Full Time
& Summary . \ & Summary A career within Enterprise Architecture services, will provide you with the opportunity to bring our clients a competitive advantage through defining their technology objectives, assessing solution options, and devising architectural solutions that help them achieve both strategic goals and meet operational requirements. We help build software and design data platforms, manage large volumes of client data, develop compliance procedures for data management, and continually researching new technologies to drive innovation and sustainable change. Responsibilities Should independently deliver scoped features and be responsible for topnotch endtoend quality of deliverables through unit tests/automated tests. Closely collaborate with product managers, leads, and architects for the definition of new features and review of code and deliverables. Participate in and perform code reviews and regular agile ceremonies like Scrum. Exposure to the Agile process, Scrum, TDD/BDD desired Must also be able to contribute to adherence to Nonfunctional requirements of features (Performance/Security ) and write automated tests. Should be a quick learner and keen on learning new technologies. Should be a fantastic team player and collaborator. Good communication skills Mandatory skill sets 1. 58 years of relevant handson experience in Python development 2. Exposure to multitenant SaaS web applications. 3. Proficiency in Python/Django, Django Rest Framework 4. Proficiency in relational databases any RDBMS (Oracle, HANA, MySQL, PostgreSQL ) 5. Proficiency in UI technologies React, Backbone, Angular, HTML, CSS. 6. Proficiency in GIT, Jenkins, CI/CD pipelines, Docker, Kibana 7. Proficiency with Kubernetes 8. Proficiency in test automation 9. Proficiency in data engineering (SQL, NoSQL, Big Data, Kafka, Redis), data governance, data privacy and security. 10. Experience building AI applications, preferably Generative AI and LLM based apps. 11. Broad understanding of AI agents, Agentic Orchestration, MultiAgent Workflow Automation, along with handson experience in Agent Builder frameworks such Lang Chain and Lang Graph. 12. Experience working with Generative AI development, embeddings, fine tuning of Generative AI models. 13. Attention to details Exceptional verbal and written communication skills. 14. Exposure to the Agile process, Scrum desired. 15. Should be a quick learner. 16. Should be a good team player and collaborator. Preferred skill sets Additional knowledge of other related AI technology or certifications is preferred but not mandatory. Years of experience required 5 to 8 years Education qualification B.E. / B.Tech / MCA/ M.E/ M.TECH/ MBA/ PGDM. All qualifications should be in regular fulltime mode with no extension of course duration due to backlogs Education Degrees/Field of Study required Bachelor of Technology, Master of Engineering, Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred Required Skills Python (Programming Language) Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment, Performance Management Software {+ 16 more} Travel Requirements Government Clearance Required?
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