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Senior Full Stack Java Developer Jobs in Ottawa, ON

The Senior DevOps Engineer is the architect of our cloud-native ecosystem. This role focuses on ... Full-Stack Visibility: Designs and maintains a comprehensive observability stack (Prometheus ...

The Senior Developer will contribute to the technical direction, supporting the Principal Engineers ... Demonstrated full-stack development experience with mobile and CTV native clients, SDKs, and APIs ...

Showing results 21-40

Senior Full Stack Java Developer information

See Ottawa, ON salary details

$14.3K

$125.2K

$171.5K

How much do senior full stack java developer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior full stack java developer in Ottawa, ON is $125,197.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,169.00 and $143,845.00 per year, depending on experience, location, and employer.

What is a senior full stack Java developer?

Senior Full Stack Java Developers are experienced software professionals who design, develop, and maintain both the front-end and back-end components of web applications using Java and related technologies. They typically work with frameworks such as Spring Boot for the backend and may use JavaScript frameworks like Angular or React for the frontend. In addition to coding, they often lead development teams, make architectural decisions, and ensure best practices are followed throughout the software development lifecycle.

What are the key skills and qualifications needed to thrive as a senior full stack Java developer?

A Senior Full Stack Java Developer needs advanced proficiency in Java, front-end frameworks (such as Angular or React), and a solid understanding of databases, supported by a bachelor’s degree in computer science or related field. Experience with tools like Spring Boot, RESTful APIs, version control systems (e.g., Git), and cloud platforms is typically required, along with relevant certifications. Strong problem-solving, communication, and teamwork skills help developers effectively collaborate and deliver robust solutions. These competencies are crucial for building scalable applications, leading projects, and ensuring efficient development processes.

What are some common challenges senior full stack Java developers face when balancing backend and frontend responsibilities?

Senior Full Stack Java Developers often encounter the challenge of staying up-to-date with both backend Java frameworks and rapidly evolving frontend technologies. Balancing deep expertise in server-side development with proficiency in modern JavaScript frameworks (like React or Angular) can be demanding. Additionally, these professionals often need to effectively prioritize tasks between client and server development while collaborating with specialized frontend or backend team members. Time management, clear communication, and a willingness to learn new tools are essential for success in this multifaceted role.

What are popular job titles related to Senior Full Stack Java Developer jobs in Ottawa, ON?

For Senior Full Stack Java Developer jobs in Ottawa, ON, the most frequently searched job titles are:

What cities near Ottawa, ON are hiring for Senior Full Stack Java Developer jobs?

Cities near Ottawa, ON with the most Senior Full Stack Java Developer job openings:

Infographic showing various Senior Full Stack Java Developer job openings in Ottawa, ON as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 13% Part Time, 6% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $125,197 per year, or $60.2 per hour.

Full Stack Software Engineer - Remote

YO AI Labs

Ottawa, ON • Remote

$80 - $120/hr

Full-time

Posted 7 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.