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.ResponsibilitiesAs a Cloud Engineer, you\'ll be a Engineering Specialist and help us discover the information hidden in vast amounts of data. You\'ll be part of the team which builds a hybrid cloud data platform that runs heavy computation jobs in the cloud as well as supports data scientist in their AI/ML modelling journey.

• Design and implement key components for highly scalable, distributed data collection and analysis system built for handling petabytes of data in the cloud.

• Work with architects of the analytics system and help in adopting best practices in backend infrastructure and distributed computing, that supports Machine Learning and GenerativeAI workloads.

• Implement core practice of Agile, leveraging cloud-native architecture patterns and using Test Driven Development, continuous integration/continuous delivery

• Continuously discover, evaluate and implement new cloud technologies to maximize analytical system performance

• Experience in one or more areas of big data, cloud and/or cloud-native application development

• Enterprise experience building complex solutions within AWS and experience with architecting AWS production workloads for Business and IT operations, across a hybrid cloud environment.

• Experience in Infrastructure and Infrastructure as Code (IaaC) is a must.

• Demonstrable strong cloud architecture or development experience, specifically Amazon Web Services (AWS) and/or Google Cloud Platform (GCP) with associate or specialist level certification.

• Hands-on experience with containers and containers orchestrators (kubernetes, openshift)

• Experience with Spark and different schema formats (Avro, Parquet, Carbondata)

• Development experience in Java/Python and pride in producing clean, maintainable code.

• Experience using high-throughput, distributed message queueing systems such as Kafka.

• Familiarity with tracing/observability solutions, e.g. OpenTelemetry, Zipkin

• Mastery of key development tools such as GIT, and familiarity with collaboration tools such as Jira and Confluence or similar tools.

• Experience with distributed databases, such as Cassandra, and the key issues affecting their performance and reliability.

• Experience with SQL engines (e.g. MySQL, PostgreSQL)

• The ability to work with loosely defined requirements, and exercise your analytical skills to clarify questions, share your approach and build/test elegant solutions in weekly sprint/release cycles.

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