Job Summary:
Morgan Stanley is a global leader in financial services, known for its commitment to innovation and client service. The Site Reliability Engineer position focuses on ensuring the operational reliability of deployed software and minimizing production outages, while collaborating with various teams to enhance service delivery and performance optimization.
Responsibilities:
• Maintain applications once they are live by measuring and monitoring availability, latency and overall system health with a focus on business activities and continuously evaluate cost and TOIL.
• Engage in and improve the whole lifecycle of services from inception and design, through deployment, operation, capacity planning and launch reviews.
• Scale systems sustainably through mechanisms like automation and evolve systems by pushing for changes that improve reliability and velocity; includes automation for other various operational needs.
• Troubleshoot infrastructure issues, reviewing log files, updating documentation, and having knowledge base with resolutions
• Work closely with the application Development team to understand the platform and create tools/utilities to help with production management
• Work with upstream data providers and upstream consumers, and reducing the amount of escalation to development teams
• Develop scripts and assist with code changes along with operational tasks/activities.
• Work closely with Application Development to ensure that the support team has excellent knowledge of the application set, own and maintain support knowledgebase and documents.
• Use analytical skills to find trends in the environment and drive out problems.
• Lead effort to determine improvement areas to stabilize the plant.
• Identify risks and work with a sense of urgency, working within a team or independently.
• Test and tune network, hardware, and software configurations to maximize performance
• Interface with different teams like IT Dev managers, Infrastructure teams and lead as a Subject Matter Expert (SME) for the application(s) supported.
• Understand the overall business flow of supported application systems and its interface with clients
• Take ownership and managing production requests, questions, issues and perform Root Cause Analysis for outages/incidents
• Understand the overall business flow of supported application systems and its interface with clients
• Be flexible to provide weekend on call rotation and available for offshore time lead
• Be accountable for the Production Environments as well as the non-Production Environments and be part of 24/7 production support coverage.
Qualifications:
Required:
• Minimum of 5 years of industry experience, preferably working in the financial IT community.
• Strong understanding of database concepts, job scheduler, MQ, Web services, UNIX/LINUX/Windows OS.
• Experience with debugging applications.
• Strong leader with excellent communications skills.
• Organized, disciplined, detail-oriented, self-motivated, and delivery-focused.
• 5+ years of experience in a production environment with a solid software development background.
• Understanding of performance tuning, end-to-end troubleshooting, networking fundamentals.
• 5+ years’ hands-on experience in designing, developing, and implementing technical solutions.
• Strong experience in scripting language (Shell scripting, Python, Perl, etc.) and cloud driven development.
• Strong database skills with DB2, Sybase or Oracle.
• Hands-on experience with Autosys or other batch scheduling software.
• Strong experience in Continuous Integration and Continuous Deployment.
• Strong experience in environment on demand for both Virtual Machines and containers.
• Knowledge and hands-on experience with monitoring tools like Splunk, IP Soft, Sockeye.
• Practical experience in Agile Methodology (e.g. Scrum).
• Knowledge or experience with automating deployments using Jenkins and Train.
• Ability to diagnose technical problems, debug, optimize code, and automate routine tasks.
• Hands-on experience in application and database troubleshooting/issue resolution in a fast-paced environment.
• Excellent communication and ability to think out of the box for process improvements.
• Knowledge of Cloud based deployment, security, networking concepts in Azure and AWS.
• Hands on experience leveraging generative AI tools to enhance research, automate and improve productivity.
• Minimum BS degree in Computer Science, Engineering or a related field.
Preferred:
• Knowledge or experience with algorithms, data structures, complexity analysis and software design.
• Interest in designing, analyzing and troubleshooting large-scale distributed systems.
Company:
Morgan Stanley is a financial services institution that delivers capital management, investment banking, and advisory solutions. Founded in 1935, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.
