Market Data Production Management & Reliability Engineering

Detect potential issues before they become production incidents and take preventative actions to minimize business impact.

Act as the primary operational interface for Trading, Technology, Infrastructure teams, and external vendors.

Investigate, troubleshoot, and resolve production issues independently with minimal escalation to Engineering teams.

Provide technical support for real-time market data services, applications, and distribution platforms.

Manage production incidents from identification through resolution and post-incident review.

Leverage AI tools and technologies to improve troubleshooting, operational efficiency, documentation, knowledge management, and incident response.

Identify automation opportunities and drive operational improvement initiatives.

Support exchange initiatives, market structure changes, weekend testing, production deployments, and disaster recovery exercises.

Develop and maintain operational procedures, runbooks, monitoring standards, and knowledge repositories.

Continuously improve platform reliability, operational controls, and service quality.

Skills Required

Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent.

3+ years of experience in Production Management, Application Support, Technical Operations, Site Reliability Engineering (SRE), or related disciplines.

Strong experience supporting mission-critical production environments.

Experience utilizing AI tools, AI-assisted workflows, Generative AI platforms, or operational automation solutions to improve productivity and operational effectiveness.

Strong knowledge of Unix/Linux operating systems and troubleshooting.

Good understanding of networking fundamentals: TCP/IP, UDP, Multicast

Network diagnostics and troubleshooting

Experience supporting end users and managing production incidents in a time-sensitive environment.

Excellent verbal and written communication skills.

Strong analytical skills with a proactive and ownership-driven mindset.

Ability to effectively manage multiple priorities in a fast-paced trading environment.

Skills Desired

Perl and/or Python scripting experience.

Experience with market data systems, exchange connectivity, or electronic trading platforms.

Knowledge of monitoring and observability platforms such as Splunk, Grafana, Geneos, or similar tools.

Experience developing AI-powered operational tools, bots, agents, or workflow automation solutions.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit:https://www.morganstanley.com/people-opportunities/eeo.