Tokyo Morgan Stanley

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 in 43 countries.

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

Technology works as a strategic partner with Morgan Stanley business units and the world's leading technology companies to redefine how we do business in ever more global, complex, and dynamic financial markets. Morgan Stanley's sizeable investment in technology results in quantitative trading systems, cutting-edge modelling and simulation software, comprehensive risk and security systems, and robust client-relationship capabilities, plus the worldwide infrastructure that forms the backbone of these systems and tools. Our insights, our applications and infrastructure give a competitive edge to clients' businesses and to our own.

Role description

We are looking for a strong technologist and a doer who is willing to lead by example by being hands on every day. This role will be supporting Institutional Securities and Wealth Management brokerage Operations platforms which include diverse technologies hosted by on premises and cloud platforms. The role is expected to perform day to day support for the business alongside reliability engineering tasks. The role has an emphasis on improving the reliability of our systems by working with the Software developers and Infrastructure engineering teams to develop automated reliability solutions. Using automation will help evolve our systems that will increase our velocity in managing uptime and mitigate risk. We are looking for the ideal candidate to improve our codebase in a growing area of the Firm that provides significant potential for career growth for the right candidate.

Responsibilities

  • 50:50 split of production support and SRE tasks.
  • Acting as a buffer between support and development teams to reduce escalations of production issues to development and keep resolution in production management team.
  • Day to day support of systems and end users in the Operations department of Morgan Stanley.
  • Trouble shooting technical problems on Azure cloud platform and across a distributed Unix environment, or in databases.
  • Managing critical incidents and ensuring all key management and business stakeholders are kept up to date.
  • Developing code and automation frameworks that enhances our monitoring and measurement capability and eliminates support toil
  • Implementing a program of work to establish the System Reliability Engineering practice into the Operations Production Management department

Required experience

  • Bachelor Degree in Computer Science or related field
  • 5 - 8 years of Production Management in multiple application support environment as a Level 3 or SRE role on java based applications.
  • Experience in supporting an application deployed on Azure Cloud
  • Hands-on experience and strong understanding of Azure PaaS services and UNIX / Linux system support.
  • Expertise in analyzing, debugging and troubleshooting large-scale distributed applications across multiple layers, i.e. software, Infrastructure and database.
  • Software programming experience in any languages like Python, Perl, Java Script .
  • Creating stored procedures and optimising SQL in Sybase or DB2.

Desired

  • Experience managing, deploying, and troubleshooting, large scale production environments
  • Any experience in enterprise monitoring or cloud observability is highly valuable using tools like Azure AppInsights, Azure Monitor, Prometheus, DataDog, Graphana, etc.
  • Experience of using and configuring DevOps tooling and Terraform or equivalent.
  • Experience of Azure Networks, ServiceBus, Azure Virtual Machines and AzureSQL
  • Experience instrumenting application services end point for logging, metrics and events. Should be familiar with design observability principles.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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 into your browser.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.



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