Backend Java Developer

Morgan Stanley

Backend Java Developer in Institutional Lending Technology team at Morgan Stanley. Designing and supporting Java-based services for mission-critical enterprise platform across lending verticals.

Posted 7/18/2026full-timeMontreal • 🇨🇦 CanadaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in building Java 11+ services with Spring Boot and secured RESTful microservices, while ensuring quality, security, and compliance in development activities. Proficient in collaborating with cross-functional teams and applying Agile methodologies to deliver high-performance solutions.

Highest-signal resume keywords

Java 11+ DevelopmentSpring Boot MicroservicesRESTful API DevelopmentRelational/Document DatabasesAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Java 11+Spring BootREST APIsRelational DatabasesDocument DatabasesAutomated TestingSDLC ExecutionPerformance TuningObservability ToolingEnterprise Security

Soft Skills

Excellent Communication SkillsProblem SolvingAnalytical Ability

Tools & Technologies

GitHub CopilotAI Developer Productivity Tooling

Industry Keywords

Financial ServicesRegulated Environments

Tech Stack

Tools & technologies

JavaMicroservicesMongoDBReactSDLCSpringSpring BootSpringBoot

About the role

Key responsibilities & impact

Design, develop, and maintain a reusable, testable, high-performance platform that supports multiple Lending business lines.
Build Spring Boot microservices and REST APIs; implement robust data access layers.
Apply best practices in code reviews, automated testing, and SDLC execution.
Collaborate with global, cross functional teams to deliver end-to-end solutions and contribute to Agile ceremonies.
Ensure quality, security, and compliance standards in all development activities.
Independently drive technical initiatives and provide technical advice.

Requirements

What you’ll need

7+ years of hands-on experience building Java 11+ services with Spring Boot and secured RESTful microservices.
Strong expertise in relational or document databases (Sybase, MongoDB, or similar).
Practical experience with AI developer productivity tooling (e.g., GitHub Copilot, Amp, or similar).
Excellent English communication skills (verbal and written).
Proven problem solving and analytical ability.
Solid understanding of software development lifecycle and Agile methodologies.
Nice-to-Have skills: React exposure for frontend development and collaboration.
Experience with enterprise security and authentication.
Familiarity with performance tuning and observability tooling.
Experience working in financial services or regulated environments.

Benefits

Comp & perks

Comprehensive employee benefits and perks
Opportunity to move about the business