VP/AVP, DevOps Engineer, Group Consumer Banking and Big Data Analytics Technology
Singapore, Singapore | DBS Bank
Industry:Banking / Investment Banking
Functions:Financial Services Professional
IT / Information Technology
Job Description:62 people have viewed this job
Group 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.
In this role, you’ll work collaboratively with software engineering to deploy and operate our systems. Help automate and streamline our operations and processes. Build and maintain tools for deployment, monitoring and operations. And troubleshoot and resolve issues in our development, test and production environments.
Essential Skills & Prerequisites
A Bachelor’s degree in Computer Science.
Strong knowledge and experience in Devops automation, containerisation and orchestration using tools such as Ansible, Docker, Jenkins, SonarQube, Kubernetes etc.
Come from a development background wherein you have 4 to 5 years of development and delivery experience with Java, Python, or Go.
Extremely strong hands on experience with highly scalable distributed systems.
Experience with microservices and container based application architectures.
4 to 5 years of hands on experience in architecting and building platforms for CI/CD release automation platforms.
Expert in Automation/ Configuration using tools like Puppet/ Chef/ Ansible/BOSH, etc.
Strong knowledge and experience of the available services across major cloud providers such as AWS, Azure, Google.
Deep understanding of instrumentation around code, testing and process metrics of the development pipeline
Hands on in depth experience in some of the following technologies:
Cloud Foundry, or other PaaS technologies.
Public clouds such as AWS, Google Cloud or Azure.
Strong understanding of virtualization and networking.
Strong understanding of Linux.
Familiarity with Hadoop distributions and ecosystem, and NoSQL databases (e.g. HBase, etc.).
Experience working with, or an interest in Agile Methodologies, such as Extreme Programming (XP) and Scrum Knowledge of software best practices, like Test-Driven Development (TDD).