Vp, Cloud Engineer, Team Lead, Data Technology, Technology & Operations

Singapore, Singapore

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.As a Cloud Engineer, you will architect and implement solutions in our hybrid cloud data platform to support advanced ETL, analytical and machine learning workloads. Core technologies include AWS/GCP services such as EMR, EKS, SageMaker Dataproc, and GKE. This role will allow you to work with the latest cloud-based tools to find innovative solutions to complex data challenges. In addition, you will enable generative AI capabilities within our organization using services including Bedrock/Vertex AI and various LLM models: Gemini, Anthropic Claude, Bison, Unicorn and many more.By enabling powerful AI models in our platform, you will help shape the next generation of AI-enabled banking. This position offers the chance to collaborate with top engineers and construct industry-leading data and AI systems.Responsibilities

  • 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.
  • Managing team of engineers building cloud components of Data Platform
  • 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
Requirements
  • Experience in area of cloud engineering, dev ops, big data, and 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.
  • Demonstrable strong cloud architecture or development experience in Amazon Web Services (AWS) and/or Google Cloud Platform (GCP) with associate or specialist level certification.
  • Hands-on experience with IaaS such as Cloud Formation and/or Terraform is a must
  • Excellence with containers and containers orchestrators ( kubernetes, openshift )
  • Experience in engineering CI/CD processes and pipelines as part of SDLC, using industry tools such as Jenkins
  • Development experience in Java/Python/bash and pride in producing clean, maintainable code is a must
  • Mastery of key development tools such as GIT, and familiarity with collaboration tools such as Jira and Confluence or similar tools.
  • 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.
Nice to have
  • Experience in Big Data and AI cloud stack (Spark, EMR, Sagemaker, Glue, Dataproc, Presto/Trino, Hive)
  • Familiarity with Large Language Models and Generative AI, including Retrieval Augmented Generation (RAG)
  • Familiarity with tracing/observability solutions and tools, e.g. OpenTracing, OpenTelemetry, ELK, Grafana
  • Experience with SQL engines (e.g. MySQL, PostgreSQL)
Apply NowWe offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.

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Job Detail

  • Job Id
    JD1410178
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Singapore, Singapore
  • Education
    Not mentioned