Senior Python Developer (multiple opportunities) (Hybrid) at Morgan Stanley

Montreal, Quebec, Canada -

Full Time

Start Date

Immediate

Expiry Date

14 Feb, 26

Salary

0.0

Posted On

16 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, DevOps, Automation, CI/CD, Linux, Jenkins, SQL, Data Structures, Algorithms, Containerization, Unit Testing, Patching, Mocking, Distributed Systems, Production Environments, Infrastructure as Code

Industry

Financial Services

Description

We're seeking someone to join our Equity Risk Systems team as a Senior Python Developer 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. 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. What you’ll bring to the role: 6+ years of experience developing large-scale Python applications and services. Familiarity with common Stdlib and common open-source libraries. Solid understanding of Linux operating systems. Demonstrated ability to comprehend and analyze complex distributed systems, including their interdependencies and deployment processes. Solid understanding of Jenkins and pipeline-as-code. A passion for streamlining manual tasks through automation and actively supporting DevOps initiatives. Solid understanding of data structures and algorithms. Knowledge of relational databases and SQL. Experience writing unit tests and using patching/mocking frameworks. Experience managing, deploying, and troubleshooting large-scale production environments. Familiarity with containerization technologies. 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: 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 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. At Morgan Stanley, we advise, originate, trade, manage and distribute capital for people, governments and institutions, always with a standard of excellence and guided by our core values. Morgan Stanley is dedicated to providing first-class service to our clients, in a way that reflects our commitment to creating a more sustainable future and fostering stronger communities around the world. In each line of business, we strive to demonstrate our belief in the power of transformative thinking, innovative strategies and leading-edge solutions—and in the ability of capital to work for the benefit of all society. What We Do

Responsibilities

The Senior Python Developer will be responsible for automating various processes around QA and DevOps within the Equity Risk Systems team. This role involves leading the design, development, and testing of high-performance tools and data platforms while ensuring production reliability.