Staff/Principal Software Engineer (Strong AI/ML and Java exp)

Bevertec; Toronto; On-site; CAD 110,000 - 117,000; Full time

Job summary

Bevertec is seeking a Staff/Principal Software Engineer in Toronto to drive AI/ML initiatives and backend architecture. The role demands deep Java Spring Boot expertise, significant system design input, and hands-on coding across edge, backend, and AI platforms.

You will collaborate with data science to build trust-signal processing foundations and robust inference pipelines. The ideal candidate has 10+ years in distributed systems, strong AI tooling experience, and a track record of delivering

Qualifications

• 10+ years building production distributed systems.
• Experience building features for ML inference pipelines (data normalization, feature stores, model serving).
• Green field project experience—selecting and building frameworks.
• Strong hands-on coding with AI-assisted workflows.
• Expertise in system design architecture and communicating decisions.
• Proficiency with AI dev tools (GitHub Copilot, LLM workflows, agents).
• Track record of taking systems from 0 to 1 in greenfield projects.

Responsibilities

• Own and influence system design across teams.
• Translate ambiguous product goals into technical plans and roadmaps.
• Write high‑quality code, focusing on backend Java Spring Boot implementations.
• Collaborate with data science on AI/ML platform foundations.

Skills

10+ years distributed systems

AI dev tools proficiency

Greenfield project experience

AI-assisted coding

System design architecture

Proficiency with AI workflows

Greenfield builder track record

Architectural decision communication

Tools

GitHub Copilot

LLM-powered workflows

Agentic coding assistants

Job description

Job Role: Staff/Principal Software Engineer (Strong AI/ML and Java exp)

Location : Toronto, ON/Onsite

Position Type : Contract Role

Contract Duration: 6 months to 1 year

5 Days Onsite

Ideal Candidate Rate: CAD 80-85/Hr (Depending upon the experience)

Looking for candidate with hands‑on experience on IC role with significant architectural influence and also responsible for designing the system and writing the code. Candidate will work at the intersection of edge computing, backend services, and AI/ML platforms, collaborating closely with data science to build the foundation for trust‑signal processing and machine learning inference.

Must Have:

• Experience 10+ years building production distributed systems
• Data platforms Experience building features for ML inference pipelines - data normalization, feature stores, model serving integration
• Green field project experience (select and build framework)
• AI-Assist strong experience but should be strong in hands on coding too
• Strong in System design architecture
• Demonstrated proficiency with AI dev tools (GitHub Copilot, LLM-powered workflows, agentic coding assistants) - this is a key differentiator for how this team operates
• Greenfield builder Track record of taking systems from 0 to 1; comfortable with undefined requirements and rapid iteration
• Architecture Ability to own and communicate system design decisions across teams; translate ambiguous product goals into technical plans

Technologies

• Backend Deep expertise in Java Spring Boot - API design, microservices, event-driven architectures
• Cloud Strong AWS experience (compute, storage, networking, IAM)
• Edge/CDN Hands-on experience with edge computing and CDN execution environments (edge Workers, CDN functions, Lambda@Edge, or equivalent)
• Languages Deep expertise in Java and/or the ability to work effectively in

Note: AI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.