DBS - SRE Engineer

Location: Singapore
Business sector: Data Engineering with Machine Learning Fundamentals
Job reference: 543563
Published: almost 2 years ago
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.

What You'll Be Doing 
  • Drive the Site Reliability Engineering agenda forward at an Enterprise Level to improve availability, reliability, and performance of services.
  • Drive cross-team efforts in resiliency assessment exercises and reporting
  • Draft and/or contribute to internal SRE training materials
  • Support services before they go live through activities such as Chaos testing (failure injection), system design inputs, developing software platforms and frameworks, capacity planning and launch reviews.
  • Engage with product engineering teams to test against relevant Chaos Engineering tool kit.
  • Sounds understanding of CI/CD pipelines and SDLC (application delivery)
  • Assist application teams in setting up SLI, SLO and Error budget for the system/s
  • Participate in Blameless Incident Retrospectives and follow up on action items
  • Work with application teams for Observability, automating monitoring and auto-remediation of known issues.
  • Programming and scripting to automate failure scenarios, integration with pipelines and developing self-service portals.
  • Work with teams located across locations in Asia Pacific
Skills You'll Need
  • MSc or BSc graduate in Computer Science, Statistics/Mathematics, or a related field is required.
  • A minimum of 3 years relevant work experiences in machine learning, AI and BI domain. Those with more years will be considered for the senior role.
  • Solid hands-on experience in AI programming, ML modelling, statistical methods used in data sciences and emerging technologies.
  • Strong working knowledge of Python/R, SQL, Big Data and Cloud computing technologies.
  • Development experience in microservices/containers, API development and middleware in data extraction.
  • Proficiency in machine learning framework such as sklearn, Tensorflow, Keras etc.
  • Technical skills in various BI platforms, Big Data platforms like Hadoop/Spark, NoSQL etc.
  • Familiarity in developing dashboards/reports via BI visualization tools like Power BI etc.
  • Good in understanding business requirements and interested in driving practical outcomes.
  • Familiarity with Talend as an ETL tools for data integration.
  • Familiarity with AutoML will be a value added.
  • Proficiency in DevOps process and tools (Eg. Jira or Azure DevOps) will be value added.
  • Strong communication and collaboration skills to work with people from a variety of business and technical background.
  • Good time management and team player.
  • Experience in FMCG industry will be an added advantage.