Senior Java Developer — AI Agents (Backend/Cloud) — Montreal

Abbeal SAS

Montreal (administrative region)

Hybrid

CAD 100,000 - 150,000

Full time

4 days ago
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Job summary

Abbeal SAS in Montreal is seeking a senior Java developer to design, build and industrialize robust backend services powering AI agent initiatives.

You will work in a DevOps environment with Java 17+/Spring Boot 3, REST APIs, and microservices, deploying on AWS with Kubernetes and Docker.

The role is hybrid (1-2 days on-site) and offers a long-term engagement within a major financial institution.

Qualifications

  • Proven experience in Java 17+ / Spring Boot 3 development.
  • Strong grasp of REST APIs and microservices architectures.
  • Comfortable with AWS, Kubernetes, Docker.
  • CI/CD practice (Jenkins or GitHub Actions).
  • Strong interest in integrating AI agents into production systems.
  • DevOps culture and solid software engineering practices.

Responsibilities

  • Design, build and industrialize robust backend services.
  • Integrate AI agents into production application flows.
  • Work in a DevOps environment from design through to production.

Job description

Join a major Canadian financial institution to build Java backend services powering AI agent initiatives. Long-term engagement, modern stack, hybrid Montreal.

A major Canadian financial institution is strengthening its technical team to accelerate AI agent initiatives across its backend platforms.

Context

The team is evolving Java backend services exposed as REST APIs toward a new generation of components that integrate AI agents, within a containerized AWS cloud environment.

The role

As a senior Java developer, you design, build and industrialize robust backend services, with a strong focus on integrating AI agents into production application flows. You work in a DevOps environment, from design through to production.

Profile
  • Proven experience in Java 17+ / Spring Boot 3 development
  • Strong grasp of REST APIs and microservices architectures
  • Comfortable with AWS, Kubernetes, Docker
  • CI/CD practice (Jenkins or GitHub Actions)
  • Strong interest in integrating AI agents into production systems
  • DevOps culture and solid software engineering practices
Terms
  • Montreal, hybrid (1-2 days/week on-site)
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