Opens LinkedIn
- Employment type
- Full-time
- Experience level
- Senior · 5+ years
- Minimum education
- Bachelor’s degree
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Associate
- Application method
- Direct apply is available
Job summary
Maintain the stability, availability, performance, and capacity of Wealth Management application platforms, while managing incidents, changes, monitoring, and disaster recovery events. Analyze production issues, conduct blameless post-mortems, develop permanent remediation plans, and automate operational work in collaboration with development, operations, and business teams.
Job details
Position Overview: The Wealth Management Production Management Site Reliability Engineer position is a highly visible/critical role, which will be a team member of technical SMEs managing the stability and optimization of the Wealth Management systems. Scope includes but not limited to, the day-to-day support of the organization’s technology related outages, collaboration on technology projects focused on stability, optimization, business impact analysis, and associated risk-related methodologies. This role will be responsible for overall stability of the Wealth Management Investment Management application platforms, participation on key optimization initiatives, and collaboration with multiple technical teams within Morgan Stanley. Additionally, partner with WM business units, various levels of management and staff to collect, analyze and make recommendations on optimizing the platform. This position will mainly perform DevOps/SRE role in Java, Unix & SQL technologies technology. Responsibilities include: Incident Management -Create and manage necessary process involving incidents Partner with Ops Control to ensure IT and/or End User communications are handled appropriately Engage with the development team throughout the life cycle to support Application build for Reliability Develop software to automate manual operational work Run, maintain and improve the service against established Service Level Objectives by applying software engineering principles Responsible for the availability, performance, change (CP) management, monitoring, and capacity management of their services Troubleshoot priority incidents, conduct blameless post-mortems and ensure permanent closure of the incidents Analyze patterns of production incidents, develop permanent remediation plans, and implement automation to prevent future incidents from occurring through software engineering Manage process related functions around large-scale events such as disaster recovery. Communicate closely with impacted groups to ensure all events are properly managed. Primary Skills / Must have Bachelor’s/Master’s Degree in Computer Science, Information Systems or related field Proven track record supporting large scale multi-tiered cloud-based applications. Hands on experience with Java, Angular, Spring, DB2, Unix scripting and experienced in scheduler tools such as TWS, autosys. Experience working in an Agile Development environment Proven ability to understand and troubleshoot complex problems under pressure Excellent communication skills (both written and oral), listening skills, influencing and negotiation skills Experience with performance troubleshooting and remediation Experience with observability tools such as Splunk, Kibana, Grafana, Prometheus Secondary Skills / Desired skills Knowledge of Azure platform is a plus Working knowledge of python
What you’ll do
Maintain the stability, availability, performance, and capacity of Wealth Management application platforms, while managing incidents, changes, monitoring, and disaster recovery events. Analyze production issues, conduct blameless post-mortems, develop permanent remediation plans, and automate operational work in collaboration with development, operations, and business teams.
Requirements
A bachelor's or master's degree in Computer Science, Information Systems, or a related field is required, along with experience supporting large-scale, multi-tier cloud applications and hands-on skills in Java, Angular, Spring, DB2, Unix scripting, and scheduler tools such as TWS or Autosys. Candidates should have Agile experience, strong troubleshooting and communication skills, performance remediation experience, and familiarity with observability tools; Azure and Python are desirable.
Listed skills
- Microsoft Azure · Preferred
- Incident Management · Preferred
- Splunk · Preferred
- Angular · Preferred
- Java · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Java
- Angular
- Spring
- DB2
- Unix Scripting
- TWS
- Autosys
- Agile Development
- Incident Management
- Performance Troubleshooting
- Observability
- Splunk
- Kibana
- Grafana
- Prometheus
- Azure
Job areas
- Technology
- Software
- Finance & Accounting
- Engineering
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