Kafka Specialist at Morgan Stanley

| Atlanta, GA
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Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

Technology and Operations Risk's mission is to deliver first-line defenses to manage Cyber and Fraud risks to Morgan Stanley's technology, operations and information through risk identification, control management and assurance. This allows the business to operate and grow in a secure and legally-compliant manner. The team's vision is to deliver programs that protect and enable the business, ensure secure delivery of services to clients, adjust to address the risks presented by an evolving threat landscape and meet regulatory expectations. Fraud Operations, under the Technology & Operations Risk division, plays a key role in supporting the Firm, delivers industry leading operational solutions by aligning the right functions, people, processes and tools to ensure the Firm is protected against internal and external fraud risk.

The Middleware Infrastructure L3 support team is part of the EC Data Services Organization at Morgan Stanley. The team manages and supports a variety of products/applications including MQ and Kafka.

This position is for a Level3 support role with global responsibility for managing and providing support for these middleware products with focus on Kafka plant running on Kubernetes (MS Private cloud) in Morgan Stanley with on-call coverage to handle production escalations.

The successful candidate will be involved in day to day management of plant, Troubleshooting with users, handling of change, incidents, escalations and problem management. This includes server administration. Technical troubleshooting of infrastructure and user incidents. Server and application deployments and task automation to streamline manual processes and replace them with automated ones, build tools to performance administrative activities on the plant and enable users view, self service for tasks they can perform themselve

Main job responsibilities include:

  • Production Management for Kafka on Kubernetes and MQ plants
  • Deep-diving into complex troubleshoots, implementing changes, and serving as an escalation point for the Level 2 teams.
  • Creating and maintaining best practices / policies and ensuring that they are followed.
  • Work with External vendors and internal Project Managers to develop the execution for changes.
  • Participate in the weekly Review meetings and actively engage with various engineering teams to review the infrastructure.
  • Actively participate in the weekly Change meetings to explain their changes and answer any questions from the change board.
  • Incident and Problem management
  • Built automation to replace manual tasks with tools.
  • Built tools to enable self service operations by application users and L1/2 staff to reduce the overhead involved in day to day operations.



Required Skills:

  • Experience with Kafka
  • Experience with Kubernetes
  • Good knowledge of Linux OS
  • Good Knowledge of JVM
  • Experience with Python/Ansible
  • Strong team spirit and relationship management skills, customer focused
  • Strong understanding of ITIL
  • Excellent communication and interpersonal skills.
  • Strong organizational skills and the ability to manage multiple tasks and high pressure situations for outage handling, management or resolution
  • Willingness to take ownership and accountability to execute and deliver on goals; strong commitment to high quality standards.

Desired Skills:

  • Understanding of data services with past experience in one or more supported technologies.
  • Understanding of Data Caching products such as Redis and Gemfire
  • Experience with IBM Websphere MQ 9

More Information on Morgan Stanley
Morgan Stanley operates in the Financial Services industry. The company is located in Rochester, NY, New York, NY, Purchase, NY, Conshohocken, PA, Baltimore, MD, Richmond, VA, Westlake, OH, Beavercreek, OH, Tampa, FL, Kansas City, MO, Omaha, NE, New York, NY, San Francisco, CA and San Francisco, CA. Morgan Stanley was founded in 2022. It has 87899 total employees. It offers perks and benefits such as Flexible Spending Account (FSA), Disability Insurance, Dental Benefits, Vision Benefits, Health Insurance Benefits and Life Insurance. To see all 423 open jobs at Morgan Stanley, click here.
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