RAVL is a Canadian, AI-native transformation consulting firm working with financial services clients across advisory, engineering, cloud, data, AI, and delivery. Our consultants work as trusted outsiders inside client organizations, making progress visible from the day they start.
Role Summary
We’re looking for a Developer to join RAVL and work as part of a client delivery team building and evolving modern applications and services. You’ll bring strong software engineering fundamentals alongside practical experience using AI-assisted development tools.
This role is a strong fit for a developer who can contribute hands-on, work effectively within an established technology environment, and use modern development practices and tooling to deliver high-quality software.
What does success look like in this role?
- Design, build, test, and maintain reliable, production-quality applications and services
- Contribute hands-on to development using NestJS and/or Spring
- Work effectively within event-driven architectures and integrate with platforms such as Kafka
- Use AI-assisted development tools as part of your day-to-day engineering workflow
- Write clean, maintainable, well-tested code and contribute to engineering standards and practices
- Collaborate with engineers, architects, product partners, and other stakeholders to turn requirements into working software
- Identify technical issues and trade-offs early and contribute practical solutions
- Participate in code reviews, testing, troubleshooting, and continuous improvement across the development lifecycle
Sounds great, do my skills fit?
The following are core requirements for this role:
- Hands-on software development experience with at least one of the following:
- NestJS
- Spring / Spring Boot
- Practical experience using at least one of the following AI coding tools:
- GitHub Copilot
- Claude Code
- Strong software engineering fundamentals, including application design, testing, debugging, version control, and maintainable coding practices
- Experience working collaboratively within a software engineering or product delivery team
- Ability to understand existing systems and codebases and become productive within them
Mindset Traits
Successful RAVL consultants:
- Take ownership of problems rather than waiting for detailed instructions
- Balance technical quality with the practical needs of the client and delivery team
- Create clarity when requirements or technical direction are ambiguous
- Communicate technical decisions clearly and raise risks early
- Use AI development tools thoughtfully to improve productivity without compromising engineering quality
- Share what they know and help the engineers around them get stronger
- Treat working software and client outcomes as the measure of success
Why join RAVL?
- Flexible, client-aligned work model - autonomy with accountability, adapting to client delivery needs
- Variable bonus & RRSP contributions tied to performance and delivery impact
- 4 weeks paid time off (plus public holidays)
- Paid professional development days and continuous learning opportunities
- Comprehensive health & dental coverage, including mental health support
- Commitment to lifelong learning - continuous improvement through training, mentorship, and certification
Compensation & Hiring Process
We are recruiting for a future opportunity. The salary range for this role is $120,000-$150,000 CAD, reflecting expected base pay. Total compensation may also include additional pay such as bonuses or incentives, depending on the position, and final offers are based on experience, skills, and qualifications. As part of our hiring process we may use technology, including AI-based tools, to help summarize and assess applications; these tools assist our team and do not replace human review or decision-making.
Equal Opportunity & Accessibility
RAVL is an equal opportunity employer committed to building a diverse, inclusive, and accessible workplace. We welcome applications from all qualified individuals and provide accommodations throughout the hiring process upon request.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
