Job Description

Business FunctionGroup Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank\'s operational processes and inspire to delight our business partners through our multiple banking delivery channels.Responsibilities

• Provide expert solutions in field of Cloud Native big-data application design and development in Data Platform

• To work closely with the business and technology teams to ensure the overall solution achieves the business objectives.

• Work with business stakeholders in requirement prioritization and rationalization

• Ensuring good quality and performance of product features

• Experimentation to assess new solution paths of enabling data access in various environments.

• Collaborative work with remote teams.

Requirements

• Bachelor\'s degree in software engineering or computer Science.

• 6+ years of proven software development experience with strong knowledge in Java, JEE, Spring Boot, Cloud Native, Microservices, Web Services APIs and/or Big-Data full stack engineering.

• Solid hands-on experience in design and development of scalable real-time streaming with Apache Kafka.

Design and develop fault-tolerant, robust and scalable Cloud Native microservices from scratch.

• Experience in problem solving and root-cause analysis on any errors during the process of Software Development Life Cycle (SDLC) implementation.

• Experience in building automated tests like unit tests, integration tests, load tests with Apache JMeter etc.

• Experience in continuous integration and continuous delivery (CI-CD) pipelines with Git, Jenkins, Sonar, HP Fortify etc.

• Good knowledge in relational databases, SQL, transactions and ACID properties.

• Support production incidents when needed and help users to resolve their issues.

• Perform proof-of-concepts (POCs) on new technologies and approaches.

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

• Able to research, investigate, evaluate and learn from existing services. Should be Self-learner.

• Maintain technical awareness at a level where alternatives can be analysed, modelled, classified according to technical feasibility and non-functional characteristics.

• Collaborate with cross-functional teams to define, design, and ship new features.

• Implement core practice of Agile, leveraging cloud native architecture pattern using Test Driven Development (TDD), continuous integration/continuous delivery, in an on-premises or public-cloud environment, where everything is automated.

Tech stack: Java/JEE, Spring Boot, Kafka, CI-CD, OpenShift, Big-Data and its related cloud-native functionalities

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