Systems Reliability Engineering (SRE) is a production-oriented discipline focused on improving system service availability, observability, scalability, performance, and reliability for technology products across Morgan Stanley by applying sound software engineering principles and adopting the latest technology and tooling.
We are growing SRE capabilities within our Reliability & Production Engineering (RPE) organization as part of the transformation of Morgan Stanley's Technology.
We would like to talk to you if you:
- Are interested in distributed systems and working with high scale scalable and reliable services.
- Like to work in a fast-moving environment and you aren't afraid to change things to make them better.
- Enjoy new technological challenges and solving hard problems.
- Believe that a team working well together is truly smarter than the single smartest person on that team
- Have Grit, drive and a deep feeling of ownership.
Your Responsibilities Will Include but Not Be Limited To:
- Working closely with engineering/development teams to design, build, and maintain systems and help them decide on products to use, schema design and query tuning.
- Troubleshoot issues across the entire stack: hardware, software, application and network.
- Identifying and drive opportunities to improve automation for our platforms; scope and create automation for deployment, management and visibility of our services.
- Proactively identifying and addressing systems reliability risks.
- Represent the RPE organization in design reviews and operational readiness exercises for new and existing services.
- Working alongside existing global and regional team members on a follow-the-sun basis.
- Participate in on-call rotation and periodic conference calls with other specialists from other time zones.
Successful candidates have often had some or all of the following:
- At least 4 years of experience in a SRE role
- Background in Computer Science equivalent to a B.Sc. Equivalent practical experience is a reasonable substitute.
- Automation-related experience is particularly valued using scripting languages such as Python, Bash, Perl. One higher level language is desired.
- Experience on supporting three tier architecture which includes exposure to UNIX, Linux platforms and databases such DB2, Sybase or relational databases like MongoDB.
- Experience with source code and binary repositories, build tools, and CI/CD (Git, Artifactory, Jenkins, Docker) etc. and data streaming technologies like Spark, Kafka etc.
- Hands on experience on enterprise tools set such as Grafana, Prometheus, Dynatrace, AppDynamics etc.
- Awareness of, and ability to reason about modern software & systems architectures, including load-balancing, queueing, caching, distributed systems failure modes, micro services etc
- Deep understanding of operating system level concepts such as processes, memory allocation, and the network stack; understanding of how applications are affected by the above, and ability to debug same.
- Generally speaking, practical experience running large scale online systems is always an advantage.
At Morgan Stanley Montreal, we support the Firm's global businesses and infrastructure with cutting edge technology and innovation. The multi-faceted and highly technical Montreal team plays a critical role in building and maintaining our leading technology platform, including electronic trading, algorithm trading, cloud engineering, infrastructure, cybersecurity and AI/ML. Morgan Stanley has been rooted in the Montreal community since 2008 and is considered a leading employer among the area's highly skilled technology talent. There's ample opportunity to move across the businesses for those who show passion and grit in their work.
All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.
Knowledge of French and English is required.
Build a career with impact. Visit morganstanley.com for more information.
