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Python Back Jobs in Montreal, QC (NOW HIRING)

Strong scripting and automation skills using Python, Bash, Shell scripting, or similar technologies ... back - aren't just beliefs, they guide the decisions we make every day to do what's best for our ...

Scripting languages - Perl/Python/Shell as well as UNIX platform experience. * Database - Ability ... back - aren't just beliefs, they guide the decisions we make every day to do what's best for our ...

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Python Back information

What is the difference between Python Back and Python Data Engineer?

AspectPython BackPython Data Engineer
Required CredentialsPython programming, basic database knowledgePython, SQL, data modeling certifications
Work EnvironmentBackend development teams, software companiesData teams, analytics departments
Industry UsageSoftware development, web servicesData analysis, big data projects
Common Search IntentBackend development with PythonData pipeline and infrastructure roles

Python Back focuses on backend development tasks using Python, such as server-side logic and API creation. Python Data Engineer specializes in building data pipelines, managing data storage, and working with large datasets. While both roles require Python skills, Python Data Engineers often need additional knowledge of SQL and data architecture. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

Are Python Back still in demand in 2026?

Python backend development remains in high demand in 2026 due to its widespread use in web development, data science, and automation. Skills in frameworks like Django and Flask, along with knowledge of APIs and databases, are valuable for backend roles. The demand is driven by the ongoing need for scalable, efficient server-side solutions across industries.

Is Python backend in demand?

Python backend development is highly in demand due to its versatility, ease of use, and extensive libraries like Django and Flask. Many companies seek Python developers for web applications, data analysis, and automation, making it a valuable skill for backend roles.

What are 10 careers related to Python?

Careers related to Python include Python developer, data scientist, machine learning engineer, software engineer, automation engineer, data analyst, backend developer, DevOps engineer, cybersecurity analyst, and research scientist. These roles often require knowledge of programming, data analysis, and software development tools, with many positions demanding proficiency in Python libraries and frameworks.

What are popular job titles related to Python Back jobs in Montreal, QC?

For Python Back jobs in Montreal, QC, the most frequently searched job titles are:

What job categories do people searching Python Back jobs in Montreal, QC look for?

The top searched job categories for Python Back jobs in Montreal, QC are:

SRE Associate (Hybrid)

Morgan Stanley

Montreal, QC • Hybrid

Full-time

Posted 21 days ago


Morgan Stanley rating

8.4

Company rating: 8.4 out of 10

Based on 155 frontline employees who took The Breakroom Quiz

33rd of 151 rated financial services


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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About Morgan Stanley

Sourced by ZipRecruiter

Since our founding in 1935, Morgan Stanley has been committed to serving local and global communities by being a market leader in Investment Banking, Securities, Investment Management and Wealth Management services. Our belief that capital can work to benefit all of society inspires us to put our clients first, lead with exceptional ideas, hold our business to high ethical standards, and give back to communities around the world through philanthropy and public works. We have a smart casual dress code and operate under a philosophy that balances work with your personal life. Our people's talent, passion, and expertise is the fuel on which our organization runs, therefore, our people are our greatest asset. Diversity and inclusiveness is a critical component for our success and it is our priority to continue building a firm that values the unique background and identity of every one of our employees, thus enabling our people to bring their full, and best selves to work each day. Teamwork is the essence of our approach, and so are the values of integrity, excellence, and enabling our people to achieve at the highest levels. We invite you to learn more about our commitment to diversity and serving our community.

Industry

Finance and insurance and software development

Company size

10,000+ Employees

Headquarters location

New York, NY, US