Jobs

CI/CD & Infrastructure Automation Lead (Python) (Hybrid)
Montreal, Quebec, Canada
·
On-site
·
Full-time
·
3w ago
Benefits & Perks
•Healthcare
•401(k)
•Flexible Hours
•Remote Work
•Healthcare
•401k
•Flexible Hours
•Remote Work
Required Skills
Python
Linux
Jenkins
SQL
Data structures and algorithms
Unit testing
Containerization
We're seeking someone to join our Equity Risk Systems team as a CI/CD & Infrastructure Automation Lead (Python) in ESTAR to be responsible for using Python to automate various processes around the QA and DevOps world
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 Engineering position at Vice-President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.
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.
Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…
What you’ll do in the role:
- Leverage a strong background in Python programming as a senior individual contributor.
- Enhance overall developer productivity across our fleet.
- Streamline workflows, reduce manual tasks, and contribute to the efficiency and effectiveness of our Equity Risk development & QA teams.
- Lead the design, development, and testing of high-performance tools and data platforms.
- Perform hands-on coding expertise with strategic leadership to align technology with business objectives.
- Own the full lifecycle of Python applications, services, and data pipelines that power real-time risk analytics—from architecture and clean, well-tested code to production reliability.
- Drive automation and operational excellence by building CI/CD pipelines, containerizing workloads, and implementing infrastructure as code, ensuring scalability, security, and resilience across our systems.
- Ability to mentor or guide junior staff and initiatives.
What you’ll bring to the role:
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8+ years of experience developing large-scale Python applications and services.
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Solid understanding of Linux operating systems.
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A passion for streamlining manual tasks through automation and actively supporting DevOps initiatives.
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Demonstrated ability to comprehend and analyze complex distributed systems, including their interdependencies and deployment processes.
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Solid understanding of Jenkins and pipeline-as-code.
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Solid understanding of data structures and algorithms.
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Knowledge of relational databases and SQL.
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Experience writing unit tests and using patching/mocking frameworks.
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Experience managing, deploying, and troubleshooting large-scale production environments.
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Familiarity with containerization technologies.
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Bachelor’s degree in Computer Science or a related field.
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.
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 opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.
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About Morgan Stanley

Morgan Stanley
PublicA financial services company that offers securities, asset management, and credit services.
10,001+
Employees
New York
Headquarters
Reviews
3.5
4 reviews
Work Life Balance
3.0
Compensation
2.5
Culture
3.2
Career
3.0
Management
3.0
35%
Recommend to a Friend
Pros
Skills evaluation through business plans and projects
Direct access to senior leadership interviews
Conversational interview format
Cons
Automated resume screening system issues
Focus on formatting over qualifications
Compensation concerns and salary expectations
Salary Ranges
11,766 data points
Junior/L3
Director
Junior/L3 · Operations Analyst
441 reports
$83,240
total / year
Base
$76,802
Stock
-
Bonus
$6,438
$60,778
$115,186
Interview Experience
6 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Experience
Positive 16%
Neutral 84%
Negative 0%
Interview Process
1
Initial screening (HR/HireVue)
2
Technical rounds
3
Manager/Senior leadership interviews
4
Final round/Superday
Common Questions
Technical knowledge assessment
Behavioral questions
Role-specific scenarios
Leadership and teamwork examples
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