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Added 1 month ago
Angular or React Full Stack Developer - onsite Mississauga CA
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Triunity Software
Hamilton, ON
- $100,000 to $110,000 CAD / year
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Senior Software Developer (Java)– Platform & Emerging Technologies
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Senior Java Tech Lead - Vice President
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Toronto, Ontario
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Build and maintain RESTful APIs and microservices using Java Spring Boot and Python frameworks.
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Senior Java Engineer
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Toronto, Ontario
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Strong expertise in Java, Spring Boot, and Microservices.
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Backend Java Developer, Assistant Vice President
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Added 3 months ago
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Java Backend Developer
LTM
Ontario · Ontario, Canada
- $85,000 to $120,000 USD / year
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Frontend Angular Developer
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open saved [VO2 Canada] - Développeuse.eur Back-End- Missions Ponctuelles
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Added 1 month ago
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Java Tech Lead (Hybrid)
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Montreal, QC
- Full-time
Understanding of open-source frameworks such as Spring Boot and Hibernate, Shell scripting, scheduling platforms (ex. Autosys, Cron, Airflow), and modern observability tooling (ex. Open…
Added 3 months ago
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Senior Backend & Infrastructure Engineer
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Added 3 months ago
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Full Stack AI Engineer
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Added 3 months ago
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Développeur Java
CGI
Montreal, Quebec
- Full-time
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Added 1 month ago
Sr. Developer
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Brampton, ON · Toronto, ON
4-6 years of experience using Java/J2EE, Rest/Soap Web services, Spring framework and Spring Boot, Kafka, Git, Maven, Nexus, Bitbucket, Artifactory,

Morgan Stanley

Java Tech Lead (Hybrid)

Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Experience: 8+ years of relevant IT experience, preferably within Financial Services
Posting language: English
Posted: Aug 11, 2026

Original job description

We’re seeking someone to join our Securities Reference Data team as a Java Tech Lead to drive the evolution of strategic reference data platforms supporting Index and Exchange-Traded Funds (ETF) data mastering, distribution, and modernization initiatives across the Firm.

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 Lead 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.

What you'll do in the role:

Design, develop, and enhance applications supporting the ingestion, mastering, and distribution of Securities Reference Data (SRD), with a focus on Index and ETF reference data.
Build and maintain scalable Java- and Python-based services supporting reference data workflows across existing SRD platforms and modernization initiatives.
Manage and enhance workflows related to instrument hierarchies, identifier mappings, constituent relationships, benchmark relationships, and vendor-driven data changes.
Partner with business analysts, stakeholders, and end users to translate business requirements into robust technical solutions.
Drive end-to-end delivery of application enhancements, production changes, and strategic development initiatives.
Ensure high standards of data quality, timeliness, lineage, and governance across reference data platforms.
Analyze and resolve production issues while assessing downstream impacts across trading, risk, operations, and regulatory processes.
Collaborate with global development teams to deliver resilient, high-performing services leveraging REST APIs, microservices, Kafka, relational databases, and MongoDB.

What you'll bring to the role:

8+ years of relevant IT experience, preferably within Financial Services
Experience in Java and/or Python development within enterprise-scale applications.
Experience in relational database technologies including SQL, tables, triggers, stored procedures, and data modeling concepts.
Experience with REST APIs, microservices architectures, and event-driven platforms including Kafka.
Experience working with MongoDB, Linux environments, JSON, and XML schemas.
Experience working across the full software development lifecycle and collaborating with geographically distributed teams.
Understanding of reference data concepts and financial instruments, particularly Indexes, ETFs, and related market data structures.
Experience using AI-assisted development tools such as GitHub Copilot or Claude.
Ability to communicate clearly and concisely, analyze complex business problems and deliver practical technical solutions with strong attention to detail.
Understanding of open-source frameworks such as Spring Boot and Hibernate, Shell scripting, scheduling platforms (ex. Autosys, Cron, Airflow), and modern observability tooling (ex. Open Telemetry, Grafana, Loki, Temp, Prometheus) is advantageous.

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

Design, develop, and enhance Java and Python-based services for the ingestion, mastering, and distribution of Securities Reference Data. Collaborate with global teams to maintain high standards of data quality and resolve production issues across trading and regulatory processes.

Requirements

Requires 8+ years of IT experience in financial services with strong proficiency in Java, Python, and relational database technologies. Candidates must have experience with microservices, event-driven architectures, and a solid understanding of financial instruments like Indexes and ETFs.

Skills

Java
Python
SQL
REST APIs
Microservices
Kafka
MongoDB
Linux
JSON
XML
Data modeling
Spring Boot
Hibernate
Shell scripting
Observability tooling
Financial services

Benefits

Hybrid work environment
Comprehensive employee benefits
Work-life journey support

Visa sponsorship

Not detected in the job text

Keywords

Java
Python
Securities Reference Data
Index
ETF
Software Engineering
REST APIs
Microservices
Kafka
SQL
MongoDB
Linux
JSON
XML
Spring Boot
Hibernate
Autosys
Cron
Airflow
Open Telemetry
Grafana
Loki
Prometheus
Financial Services
Data Governance
Data Lineage
GitHub Copilot
Claude
Shell Scripting
Data Modeling

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