Technical Lead

As a Technical Lead at RAVL, you’ll lead delivery tracks that bring modern engineering to life - guiding teams, defining technical direction, and ensuring every solution connects strategy to measurable impact. You’ll blend deep technical skill with leadership, coaching engineers while partnering with clients to deliver outcomes that last. You’ll create clarity in complexity, help shape architecture, and drive progress in environments where excellence and empathy both matter.

What does success look like in this role?

• Lead the technical delivery of cloud, software, or data engineering projects from design to production
• Provide architectural and implementation guidance, ensuring solutions are scalable, secure, and resilient
• Collaborate with product owners and stakeholders to define technical priorities and delivery milestones
• Coach and mentor engineers, fostering a culture of ownership, transparency, and continuous improvement
• Balance delivery velocity with technical excellence - helping teams make smart trade-offs that serve outcomes
• Facilitate technical discussions, decision-making, and retrospectives that move work forward
• Influence design and engineering practices across RAVL and client teams through clarity and example
• At higher levels: define governance and strategy across multiple teams or programs, serving as a trusted technical advisor

Sounds great, but do my skills fit?

You’ll thrive in this role if you bring:

• Strong experience leading technical teams or delivery workstreams in software, platform, or data engineering
• Proficiency in modern cloud architectures and technologies (AWS, Azure, or GCP)
• Hands‑on experience with CI/CD, automation, observability, and modern development practices
• Comfort moving between architecture, code review, and stakeholder conversation, bridging strategy with execution
• Proven ability to mentor and develop engineers through structured feedback and technical guidance
• Consulting excellence: outcome orientation, presence under pressure, and clear, credible communication

Mindset Traits

• Delivery‑first – drives visible progress through clarity and accountability
• Empathetic leader – creates space for others to contribute, learn, and grow
• Calm in ambiguity – makes decisions confidently, even when details are evolving
• Influential – aligns diverse stakeholders around common technical direction

Technical Skills

• Cloud Platforms: AWS, Azure, or GCP (at least two preferred)
• Programming Languages: Proficiency in one or more of Java, C#, Go, Python, or TypeScript
• Architecture & Delivery: CI/CD, microservices, APIs, containerization (Docker, Kubernetes)
• Infrastructure & Security: Terraform, CloudFormation, IAM, RBAC, encryption, secure software delivery
• Leadership Tools: Agile delivery frameworks, backlog management, technical prioritization

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

The salary range for this role is $100,000–$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.