4 - 9 years
4 - 9 Lacs
Posted:6 days ago|
Platform:
On-site
Full Time
Being a member ofDigital Platforms & Experiences teamin Global Marketing, you will be: Tenacious: Work in a fast paced and highly complex environment Creative thinker: Analyze multiple solutions and deploy technologies in a flexible way. Great teammate: Think and work collaboratively and communicate effectively. Fast learner: Pick up new concepts and apply them quickly. Responsibilities: Collaborate with team members in a multi-office, multi-country environment. Deliver high efficiency, high availability, concurrent and fault tolerant software systems. Contribute to the development of client facing AI tools. Design and develop innovative solutions to complex problems, identifying issues and roadblocks, ability to translate real business problems into technical solutions. Apply validated quality software engineering practices through all phases of development. Ensure resilience and stability through quality code reviews, unit, regression and user acceptance testing, dev ops and level two production support. Qualifications: B.E./ B.TECH./ MCA or any other relevant engineering degree from a reputed university. 4+ years of proven experience Skills and Experience: A proven foundation in core Java and related technologies, with OO skills and design pattern. Track record building high quality software with design-focused and test-driven approaches Hands-on coding experience using Python Experience with relational database and/or NoSQL Database (e.g., Apache Cassandra) Great analytical, problem-solving and communication skills Nice to have: Knowledge of Java/Spring Exposure to building microservices and APIs ideally with REST, Kafka or gRPC. Exposure to frontend tech like Node.js / React / TypeScript / CSS / HTML5 Exposure to high scale distributed technology like Kafka, Mongo, Ignite, Redis Experience with Cloud platforms like Microsoft Azure, AWS, Google Cloud Experience with DevOps and tools like Azure DevOps Experience with AI-related projects/products or experience working in an AI research environment. Experience working in an agile development team.
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