Java Tech Lead (Hybrid)

Morgan-Stanley; Montreal (administrative region); Hybrid; CAD 120,000 - 160,000; Full time

Job summary

Morgan Stanley in Montreal is seeking a Java Tech Lead to advance Securities Reference Data platforms for Index and ETF data mastering, distribution, and modernization. You will drive end-to-end delivery of services, partner with analysts, and ensure data quality and governance across platforms.

The role requires 8+ years in IT, strong Java/Python, REST/microservices, Kafka, and relational databases, with collaboration across global teams in a hybrid Montreal setting.

Qualifications

• Experience in Java and Python in enterprise-scale apps.
• Strong knowledge of REST, microservices, and data modeling.
• Experience with relational databases and SQL development.
• Familiarity with ETL/data ingestion and reference data concepts.

Responsibilities

• Design, develop, and evolve SRD platforms for Index/ETF data.
• Build scalable Java- and Python-based services and data workflows.
• Manage instrument hierarchies, mappings, and vendor data changes.
• Collaborate with global teams and ensure data quality and governance.

Skills

Java

Python

REST APIs

Microservices

Kafka

MongoDB

SQL/Relational DB

Spring Boot

Hibernate

Linux

JSON/XML

GitHub Copilot

Airflow/Cron/Scheduling

OpenTelemetry/Grafana

Tools

Kafka

MongoDB

Spring Boot

Hibernate

Linux

JSON/XML

Autosys

Cron

Airflow

OpenTelemetry

Grafana

Loki

Prometheus

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 ServicesExperience 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 .