Postuler

Publié il y a 8 jours

Onsite in Montreal QC - Software Engineer (Core Java, Market Risk)

@ United Software Group Inc

Montréal, Québec

Contrat5+ ans d’expérience
Postuler
SIGNAUX

En bref

United Software Group Inc is hiring a contract Software Engineer in Montreal, QC, for 12/01/2026 to 11/30/2027. The role is 100% onsite, with no remote or hybrid option, and may require an in-person interview. The work is building and supporting Core Java components of a Market Risk platform while mentoring junior developers in an Agile environment.

Responsabilités :

  • Design and build Market Risk platform components in Core Java
  • Build scalable high-performance risk calculation solutions
  • Use AI tools for agentic and analytical workflows
  • Mentor junior developers and provide technical leadership
  • Work with global cross-functional teams

Résumé des exigences :

  • 5+ years building production-grade large-scale systems
  • Strong Core Java and Java backend expertise
  • Solid data structures, algorithms and design patterns
  • Linux/Unix environment and scripting skills
  • Experience with relational or document databases
  • Bachelor's degree in CS, IT or related field, or equivalent

Outils et compétences

Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-11-02
Première détection par notre source
2026-11-10
Mise à jour du dossier source
2026-11-10

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
Expérience5 an(s) et plus
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé)
Domaines d’étudesComputer Science, Information Technology

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

United Software Group Inc

ChampValeur
Offres sur Jobsy1
Description

Core Java, Market Risk

Montreal, QC (100% Onsite)

Location: Montreal, QC, Canada (100% onsite, no remote or hybrid)

Type: Contract, 12/01/2026 to 11/30/2027

Interview: May require an in-person interview

About the Role

You’ll build and support core components of a Market Risk platform in Core Java, use AI tools to power agentic and analytical workflows, and mentor junior developers while working with global teams in an Agile environment. Deep Market Risk knowledge isn’t needed up front. You’ll pick it up by working closely with the Risk and Analytics teams.

What You’ll Do

  • Design, build, and support key components of the Market Risk platform in Core Java
  • Build scalable, high-performance computing solutions for market risk calculations and analysis
  • Use AI tools to support agentic and analytical workflows, keeping quality, accuracy, and correctness high
  • Work with cross-functional and global teams to deliver quality solutions
  • Provide technical leadership and mentorship to junior developers in the squad
  • Help evolve risk management tools, frameworks, and processes as business and regulatory needs change

Required Qualifications

  • 5+ years building large-scale, production-grade systems, with real depth in Java backend development and distributed system design
  • Strong Core Java expertise and a track record of production-grade backend systems
  • Solid grounding in data structures, algorithms, and software design patterns
  • Strong working knowledge of Linux/Unix environments and scripting
  • Experience with relational and/or document-oriented databases
  • Ability to turn business and analytical requirements into efficient technical solutions
  • Ability to guide junior staff, influence technical direction, and juggle multiple initiatives
  • Bachelor’s degree in Computer Science, IT, or a related field (or equivalent experience)

Preferred Qualifications

  • Agentic AI development experience, with tools like GitHub Copilot and Claude Code
  • Python and Unix in production
  • Cloud experience on Azure, AWS, or GCP
  • Big data exposure: Apache Spark, Snowflake
  • Infrastructure as code: Terraform, CloudFormation
  • Containerized deployments and cloud-native architecture
  • Agile and DevOps best practices
  • Background in financial services, especially Market Risk or FinTech

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