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.
• Should have a solid technical skill with diversity of thought and creative solutions that are in the best interests of our customers globally.
• Develop, test, and debug automated tasks (Apps, Systems, Infrastructure)
• Troubleshoot priority incidents, facilitate blameless post-mortems.
• Work with development teams throughout the software life cycle ensuring sustainable software releases.
• Perform analytics on previous incidents and usage patterns to better predict issues and take proactive actions.
• Build and drive adoption for greater self-healing and resiliency patterns.
• Lead and participate in performance tests; identify bottlenecks, opportunities for optimization, and capacity demands.
• Adhere to firm-wide architecture standards, risk management and security policies.
• Team player and ability to work in Global Team setup, product owners and business team to develop, build & support application.
• Communicate and collaborate on development items with global team, as well as raise/work to resolve issues impacting development.
• Postproduction application support
• Participate in quality assurance, peer reviews and code reviews Qualifications.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
• A successful history of manipulating, processing, and extracting value from large datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Experience supporting and working with cross-functional teams in a dynamic environment.
