DBS - Cloud Engineer, Data Platform, Group Technology

Group Technology 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 Technology, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.

Job Responsibilities

As a Cloud Engineer, you'll be an 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 Agentic 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

Job Requirements

• Hands-on experience with Google Cloud Platform (GCP), including deploying and managing infrastructure and data services
• Enterprise experience building complex solutions within GCP and experience with architecting GCP production workloads for Business and IT operations, across a hybrid cloud environment.
• Proficiency with infrastructure-as-code tools like Terraform to automate provisioning, configuration management, and orchestration within GCP
• Hands-on experience with containers and containers orchestrators (Kubernetes, Docker), as well as serverless architectures within GCP
• Hands-on experience with Dataproc, BigQuery
• Experience with Spark and different schema formats (Avro, Parquet)
• Understanding of infrastructure monitoring, log analysis, and automation for incident response within GCP
• Ability to instrument, validate, and automate security controls within GCP
• Demonstrable strong cloud architecture or development experience, specifically Google Cloud Platform (GCP) with associate or specialist level certification.
• Manage and resolve Operational issues as the L2/L3

Nice to have

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