below marketmost similar roles pay hereabove market
This role pays less than
71%
of similar roles. Most pay
$144,375–$215,000
— the blue band above.
At the midpoint, this role pays about
$150k
versus about
$180k
for comparable roles.
Based on 240 similar postings.
Employer
About Morgan Stanley
Morgan Stanley is a global financial services firm providing investment banking, securities, wealth management, and investment management services to corporations, governments, institutions, and individuals. Industry: Investment Banking & Financial Services
Morgan Stanley currently has
40 open roles
on FindRole.
Listed pay typically runs
$154,000–$214,000
across 34 roles with salary data.
JOB TITLE: Lead Site Reliability Engineer
The Lead Site Reliability Engineer is a Vice President level role within the Reliability Operations team, responsible for the stability of Wealth Management Investment Management application platforms. You will champion SRE principles by defining metrics like SLIs, SLOs, and error budgets while leading proactive detection and resolution of production incidents. Daily responsibilities include monitoring system alerts, performing deep analytical triage, and managing production governance and change management policies. You will build automation solutions using Python, Shell scripting, or Perl to eliminate manual toil and implement AI-driven operational workflows. Required technical skills include experience with AWS, GCP, or Azure, database management with DB2, Sybase, or Oracle, and observability tools like Grafana, Prometheus, Splunk, and Kibana to ensure high-availability in a financial services context.
Champion SRE principles by defining and tracking metrics for SLIs, SLOs, and error budgets.
Lead the proactive detection, triage, and resolution of production issues for business-critical applications.
Serve as the primary owner for escalated production incidents and coordinate recovery efforts across technical teams.
Act as a gatekeeper for production governance by ensuring adherence to change management and release controls.
Identify and eliminate manual toil through the development of automation, self-healing capabilities, and AI-driven workflows.
Establish a comprehensive knowledge management framework including runbooks, troubleshooting guides, and system diagrams.
Provide technical leadership on architecture reviews, capacity planning, disaster recovery, and resiliency testing initiatives.
Monitor systems alerts and perform hardware capacity planning to ensure overall platform stability.
What we're looking for
10+ years of experience in a production environment with a solid software development background.
BS/MS or equivalent degree, preferably in a quantitative discipline like Computer Science or Computer Engineering.
5+ years of experience leading a small to medium team of similar skillsets.
5+ years of experience driving SRE principles and Chaos Engineering.
Strong experience in scripting languages such as Shell, Python, or Perl and cloud-driven development.
Strong database skills with DB2, Sybase, or Oracle and hands-on experience with Autosys or other batch scheduling software.
Experience in AWS, GCP, or Azure cloud technologies and working knowledge of DevOps and observability tools like Grafana, Prometheus, Splunk, or Kibana.
Experience in web analytics tools (preferably Adobe Experience Cloud tools) is a plus.
Experience working with the Financial Services area is a plus.