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Added 1 month ago
Senior Forward Deployed Engineer (Gemini Enterprise)
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Montreal, QC
…analysts, and digital experts to solve complex business challenges with pragmatic, production-ready…
Added 2 months ago
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Senior Design Verification Engineer
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- $150,000 to $180,000 CAD / year
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We are seeking a Senior Design Verification Engineer who can combine strong verification expertise with applied AI/ML collaboration to help build production-grade tools for chip…
Added 2 months ago
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- Full-time
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Added 1 month ago
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Toronto, ON
Fitch Group is seeking a hands-on Transformation Engineer with strong expertise in software development, AI-enabled engineering, and modern quality practices. This role will focus on…
Added 2 months ago
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Senior Software Developer
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Remote, Canada
- Full-time
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Added 2 months ago
EI
Factory Test Specialist
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- Full-time
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Added 2 months ago
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Software Engineer, Applied AI
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- $110,000 to $130,000 CAD / year
…technology, and state-of-the-art print facilities. We collaborate with clients across North America to deliver innovative marketing solutions that effectively inform, inspire, and empower…
Added 2 months ago
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Azure Cloud and AI Lead - 69858401
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- Full-time
Strong Python development experience with machine learning, data engineering, and IoT data processing solutions.
Added 2 months ago
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Data Scientist
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- Full-time
…and engineering excellence and are excited to work directly with our internal clients to help them reach their AI ambitions, this is the perfect job for you! You’ll join a stimulating work…
Added 2 months ago
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AI Engineer
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Kitchener, ON
- Full-time
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Added 2 months ago
JG
Senior Fullstack Developer
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Full Stack & Cloud Development: Design, build, and maintain enterprise-grade applications using Python, TypeScript/JavaScript, and AWS serverless architecture.
Added 2 months ago
JG
Test Automation Engineer (Playwright, API & AI Automation)
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Experience with Python-based frameworks for validating backend functionality.
Added 3 months ago
Senior Quality Engineering Lead
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Toronto, ON
…outcomes. The organization combines deep healthcare expertise with a collaborative, entrepreneurial approach to building practical solutions for the evolving needs of Canadian…
Added 2 months ago
MS
RPE - System Reliability Engineering Specialist (Hybrid)
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- Full-time
Collaborate with development, QA, product management, and business stakeholders to support applications throughout their lifecycle.
Added 2 months ago
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Senior Software Developer
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- Full-time
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Added 1 month ago
Data Science, Senior Consultant – Healthcare & Life Sciences, Elevate
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Added 2 months ago
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- Full-time
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Added 2 months ago
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Test Automation Engineer
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- Full-time
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Added 2 months ago
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Staff/Sr Staff Electro-Optic Codesign Engineer
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Added 2 months ago
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Integration Architect-Toronto
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- Full-time
Proficiency or familiarity with Python or Java
Added 2 months ago
PF
Ingénieur·e principal·e en implantation | Senior Implementation Engineer
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Connaissance des langages de script tels que Python ou Bash

Morgan Stanley

RPE - System Reliability Engineering Specialist (Hybrid)

Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Experience: At least 2 years' relevant experience would generally be expected to find the skills required for this role.
Posting language: English
Posted: Aug 31, 2026

Original job description

We’re seeking someone to join our team as a Site Reliability Engineering Specialist to support the reliability, performance, and operational stability of business-critical applications, while helping drive automation and the adoption and operation of AI-enabled technologies and modern engineering practices.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Software Production Management & Reliability Engineering II position at Associate, which is part of the job family responsible for overseeing the production environment, ensuring the operational reliability of deployed software, and implementing strategies to optimize performance and minimize downtime.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you'll do in the role:

Work independently to solve ambiguous operational and technical problems while supporting business-critical applications.
Collaborate with development, QA, product management, and business stakeholders to support applications throughout their lifecycle.
Escalate and manage major incidents, perform root cause analysis, and implement corrective actions to improve reliability.
Develop and maintain automation, scripts, operational tooling, documentation, and runbooks to improve efficiency and reduce manual effort.
Perform platform lifecycle activities, including upgrades, patching, archival, cleanup, and ongoing maintenance.
Support the evaluation, deployment, and operation of third-party software, AI-enabled platforms, and emerging technologies.
Partner with global teams to improve support processes, operational effectiveness, and continuous improvement initiatives.

What you'll bring to the role:

At least 2 years' relevant experience would generally be expected to find the skills required for this role.
Strong knowledge of Linux/Unix operating systems and production support environments.
Strong scripting and automation skills using Python, Bash, Shell scripting, or similar technologies.
Understanding of networking concepts, protocols, APIs, REST services, system integrations, and troubleshooting methodologies.
Experience with monitoring, observability, and reliability engineering concepts and tools such as OpenTelemetry, Grafana, and Loki.
Experience using modern integrated development environments (IDEs) and version control platforms, including Visual Studio Code and Git.
Familiarity with containerization technologies such as Docker and Kubernetes, and exposure to cloud technologies and automation frameworks.
Basic understanding of Generative AI concepts, including Large Language Models (LLMs), AI agents, prompt engineering, and Retrieval-Augmented Generation (RAG).
Familiarity with AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, or similar productivity platforms, with an interest in applying AI and automation to improve operational efficiency.

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.

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.

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More about this job

Responsibilities

The role involves supporting the reliability, performance, and operational stability of business-critical applications while driving automation and AI-enabled technologies. Responsibilities include managing major incidents, performing root cause analysis, and maintaining operational tooling to improve efficiency.

Requirements

Candidates are expected to have at least 2 years of relevant experience with strong knowledge of Linux/Unix environments and scripting languages like Python or Bash. Familiarity with monitoring tools, containerization, and cloud technologies is required, along with a basic understanding of Generative AI concepts.

Skills

Linux
Unix
Python
Bash
Shell scripting
Automation
Networking
APIs
REST services
OpenTelemetry
Grafana
Loki
Docker
Kubernetes
Generative AI
Prompt engineering

Benefits

Comprehensive employee benefits
Work-life balance support
Professional development opportunities

Visa sponsorship

Not detected in the job text

Keywords

Site Reliability Engineering
Linux
Unix
Python
Bash
Automation
Networking
APIs
REST
OpenTelemetry
Grafana
Loki
Docker
Kubernetes
Generative AI
LLMs
RAG
GitHub Copilot
Production Support
Incident Management
Root Cause Analysis
Cloud Technologies
Software Lifecycle
System Integration
Observability
Version Control
Git
Visual Studio Code
Financial Services
Operational Stability

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