Morgan Stanley

Morgan Stanley

Lead Java Full Stack (Hybrid)

Montreal, Quebec, Canada · Mid

Sponsorship not specifiedDetected 2 days ago
JavaScriptJavaVue.jsAngularSpringFull-Stack DevelopmentNoSQLSnowflakeDevOpsRESTSparkData EngineeringComplianceTest AutomationBDDProblem Solving

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 98 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 84%

Of 76 labor certifications old enough to have been used, 12 expired without the employer filing the next step. Median time from filing to decision: 496 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

188 transfer filings in the last year, covering 587 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Experience in automated testing using BDD and/or TDD methodologies.

Responsibilities

  • We're seeking someone to join our team as Lead Java Full Stack to drive the design, development, and evolution of strategic risk management technology solutions that support regulatory compliance, enterprise risk governance, and critical business decision-making 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.
  • Partner with business analysts and end users to define system and integration requirements and provide technical recommendations.
  • Implement and support RESTful services and service-oriented architectures to enable application integration.
  • Perform unit testing, integration testing, deployment activities, and production support to ensure application stability.
  • Collaborate with global development teams, including offshore partners, to deliver project objectives and maintain high-quality standards.
  • Experience utilizing standard software design patterns and modern development best practices.

Requirements

  • At least 2+ years of experience with JavaScript frameworks such as Angular or React.
  • Experience with Snowflake data platform and associated data engineering practices.
  • Ability to apply strong technical analysis and problem-solving skills in a fast-paced environment.
  • Knowledge of French and English is required.

Skills

  • Understanding of relational and NoSQL database technologies.

Benefits

  • 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.

Company info

  • We offer a hybrid work environment, combining remote work and attendance in the office.
  • 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.
  • At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals.

Equal opportunity

  • Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.

This listing is sourced directly from Morgan Stanley's careers page and normalized into a canonical job model.