AVP, Site Reliablility Engineering Lead (SRE), Middle Office Technology, Technology & Operations
DBS Bank Limited
Application
Details
Posted: 14-Aug-24
Location: Singapore, Singapore
Type: Full-time
Salary: Open
Internal Number: 20947990
Business Function
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 managethe majority ofthe Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.
The Regulatory Reporting team leads the overall front to back strategy and development of regulatory reporting landscape and drives the business changes for the Group Finance Platform (GFP).
Responsilbilities:
As a DevSecOPS Site Reliability Engineer (SRE), you'll help build a meaningful engineering discipline, combining software and systems to develop creative engineering solutions to operations problems. Much of our support and software development focuses on optimizing existing systems, building infrastructure and reducing work through automation. You'll join a team of curious problem solvers with a diverse set of perspectives who are thinking big and taking risks. In this environment, you'll take the lead on relevant projects, supported by an organization that provides the support and mentorship you need to learn and grow. As an SRE, you'll be focused on running better production applications and systems.
â?¢ Develop, test, and debug automated tasks (Apps, Systems, Infrastructure)
â?¢ Work with development teams throughout the software life cycle ensuring sustainable software releases
â?¢ Perform analytics on previous incidents and usage patterns to better predict issues and take proactive actions
â?¢ Build and drive adoption for greater self-healing and resiliency patterns
â?¢ Lead and participate in performance tests; identify bottlenecks, opportunities for optimization, and capacity demands
â?¢ Adhere to firm-wide architecture standards, risk management and security policies
â?¢ Team player and ability to work in Global Team setup, product owners and business team to develop, build & support application
â?¢ Communicate and collaborate on development items with global team, as well as raise/work to resolve issues impacting development
â?¢ Postproduction application support
â?¢ Participate in quality assurance, peer reviews and code reviews Qualifications
â?¢ Build processes supporting data transformation, data structures, metadata, dependency and workload management
Requirements:
â?¢ Should have a solid technical skill with diversity of thought and creative solutions that are in the best interests of our customers globally
â?¢ Thought leader in the group especially in the end-to-end solutioning
â?¢ Up to date with latest ongoing technologies in the industry
â?¢ Well connected to industry members, attends developer and tech meetups
â?¢ Strong understanding of DevOps practices, tools and techniques
â?¢ Experienced deploying application in a containerized environment using Docker/Kubernetes/PCF/Openshift/AWS etc
â?¢ In-Depth OS experience (RHEL, Ubuntu, Windows Server) with strong debugging, troubleshooting, and problem-solving skills
â?¢ Experience in site reliability engineering in one of the following languages: Python, Java, PowerShell, shell scripting or GO
â?¢ Hand-on experience with cloud-based technologies and tools especially in deployment, monitoring and operations, such as Prometheus, Splunk, Elasticsearch, Grafana
â?¢ Strong working knowledge of modern development technologies and tools such Agile, CI/CD, Git, Terraform and Jenkins
â?¢ Good understanding of networking protocols and cybersecurity best practices in public cloud environment
â?¢ Advanced working SQL knowledge and experience working with RDBMS, Hadoop and NoSQL DB
â?¢ Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
â?¢ Build processes supporting data transformation, data structures, metadata, dependency, and workload management
â?¢ A successful history of manipulating, processing and extracting value from large datasets
â?¢ Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
â?¢ Experience supporting and working with cross-functional teams in a dynamic environment