There is an immediate need for an
Intermediate Solution Engineer
at SupraITS Canada. If you’re someone who enjoys solving complex technical challenges, thrives in fast-moving environments, and wants to build scalable AI‑powered solutions that directly shape the future of IT operations then this position is for you.
Locations This role is remote/hybrid and is available for candidates located in the Greater Toronto Area.
About Supra ITS Founded in 1999, Supra ITS has grown into a globally trusted IT partner, delivering world‑class Managed IT, Cybersecurity, Digital Transformation, Application Services, and Business Process Outsourcing (BPO) Services. Headquartered in Mississauga, Supra ITS operates with 650+ employees worldwide, including Network Operations Centers (NOCs) in Canada and India, ensuring 24/7 IT support and seamless service delivery.
Supra ITS provides a full spectrum of IT solutions, including server and network management, private cloud, disaster recovery, service desk support, and advanced security services. With a security‑first approach and SLA‑driven commitments, Supra ITS takes complete ownership of IT services, allowing clients to focus on growth while ensuring uninterrupted operations.
Canon Canada made an equity investment in Supra ITS in 2021, recognizing a shared vision to deliver world‑class technology and managed services across North America. Since then, the partnership has evolved into an integrated partnership, combining Canon’s innovation and enterprise solutions with Supra ITS’s agility, customer focus, and managed services expertise.
Today, we operate as a unified force, driving rapid growth across North America through automation, cloud, cybersecurity, and business process solutions. Together, Canon and Supra ITS are accelerating digital transformation for customers, delivering secure, scalable, and performance‑driven IT solutions that redefine what it means to be truly customer‑centric.
About the Role We’re looking for engineers who can think across the full stack, balance technical trade‑offs, mentor others, and turn ambitious ideas into production‑ready systems.
As an Intermediate Solution Engineer, you'll take full ownership of features across the entire stack: designing APIs, optimizing databases, building complex React interfaces, and integrating AI agent frameworks. You'll mentor junior engineers, make architectural trade‑offs, and directly impact the product roadmap.
You are
Mentor junior engineers, provide thoughtful code reviews.
Comfortable with ambiguous requirements; can scope and design features.
Think in terms of trade‑offs, not absolutes.
Key Responsibilities What you’ll own
Design and implement full‑stack features: API endpoints, database schema updates, React UI, and agent logic.
Architect frontend state management for complex workflows (multi‑step agent configuration, real‑time monitoring).
Build FastAPI endpoints that integrate with agent frameworks; handle async execution, error handling, validation.
Optimize SQL queries and design efficient PostgreSQL schemas (indexes, constraints, migrations).
Integrate vector databases (Pinecone, Weaviate, Milvus) for semantic search and RAG pipelines.
Write production‑quality Python agents using LangChain, CrewAI, or similar.
Debug complex issues spanning multiple layers (frontend state, API contract, database query, agent behavior).
Mentor junior engineers on technical decisions and code quality.
Lead code reviews and advocate for technical excellence.
Tech Stack
Frontend
– React, TypeScript, Vite, state management, testing.
Backend
– FastAPI, Python, async/await, Pydantic, authentication.
Agents & AI
– LangChain, CrewAI, MCP, tool integration, prompt engineering, Claude Skills and Agents.
Data
– PostgreSQL, Vector DBs, RAG, embeddings.
DevOps
– Docker, Docker Compose, CI/CD, AWS/GCP basics.
Technical Experience Frontend Expertise
Advanced React patterns: compound components, render props, context/Redux/Zustand.
Strong TypeScript: discriminated unions, utility types, generics.
Performance optimization: code splitting, memoization, render cycle understanding.
Testing with React Testing Library or Cypress.
Backend & API Design
Design REST APIs with proper HTTP semantics, validation, error handling.
FastAPI expertise: Pydantic models, async/await patterns, authentication/authorization.
API testing with pytest; writing testable, maintainable code.
AI & Agent Frameworks
Deep understanding of LangChain, CrewAI, or Autogen.
Build multi‑step workflows: planning, memory, tool use, reflection.
Prompt engineering: temperature, tokens, few‑shot, chain‑of‑thought.
Testing agents: deterministic tests, mocking LLM responses, validation.
Database & Search
Complex SQL: JOINs, subqueries, window functions, CTEs.
Schema design: normalization, constraints, index strategies.
Query optimization and EXPLAIN analysis.
Vector DB integration: Pinecone, Weaviate, Milvus, Chroma.
RAG pipelines: chunking, embedding, retrieval, summarization.
Deployment & Operations
Docker: efficient Dockerfiles, multi‑stage builds, optimization.
Docker Compose for local development.
CI/CD pipeline understanding (GitHub Actions, GitLab CI).
Basic cloud infrastructure (AWS, GCP, or Azure).
Preferred Qualifications
Redis caching and optimization.
Message queues (Celery, Bull).
GraphQL experience.
Advanced prompt engineering and fine‑tuning experience.
We thank all applications who apply; however, only those selected for an interview will be contacted.
If you require any accommodation during the recruitment process, please let us know and we’ll endeavor to put reasonable provisions into place.
#J-18808-Ljbffr
or continue with email
Intermediate Solution Engineer
at SupraITS Canada. If you’re someone who enjoys solving complex technical challenges, thrives in fast-moving environments, and wants to build scalable AI‑powered solutions that directly shape the future of IT operations then this position is for you.
Locations This role is remote/hybrid and is available for candidates located in the Greater Toronto Area.
About Supra ITS Founded in 1999, Supra ITS has grown into a globally trusted IT partner, delivering world‑class Managed IT, Cybersecurity, Digital Transformation, Application Services, and Business Process Outsourcing (BPO) Services. Headquartered in Mississauga, Supra ITS operates with 650+ employees worldwide, including Network Operations Centers (NOCs) in Canada and India, ensuring 24/7 IT support and seamless service delivery.
Supra ITS provides a full spectrum of IT solutions, including server and network management, private cloud, disaster recovery, service desk support, and advanced security services. With a security‑first approach and SLA‑driven commitments, Supra ITS takes complete ownership of IT services, allowing clients to focus on growth while ensuring uninterrupted operations.
Canon Canada made an equity investment in Supra ITS in 2021, recognizing a shared vision to deliver world‑class technology and managed services across North America. Since then, the partnership has evolved into an integrated partnership, combining Canon’s innovation and enterprise solutions with Supra ITS’s agility, customer focus, and managed services expertise.
Today, we operate as a unified force, driving rapid growth across North America through automation, cloud, cybersecurity, and business process solutions. Together, Canon and Supra ITS are accelerating digital transformation for customers, delivering secure, scalable, and performance‑driven IT solutions that redefine what it means to be truly customer‑centric.
About the Role We’re looking for engineers who can think across the full stack, balance technical trade‑offs, mentor others, and turn ambitious ideas into production‑ready systems.
As an Intermediate Solution Engineer, you'll take full ownership of features across the entire stack: designing APIs, optimizing databases, building complex React interfaces, and integrating AI agent frameworks. You'll mentor junior engineers, make architectural trade‑offs, and directly impact the product roadmap.
You are
Mentor junior engineers, provide thoughtful code reviews.
Comfortable with ambiguous requirements; can scope and design features.
Think in terms of trade‑offs, not absolutes.
Key Responsibilities What you’ll own
Design and implement full‑stack features: API endpoints, database schema updates, React UI, and agent logic.
Architect frontend state management for complex workflows (multi‑step agent configuration, real‑time monitoring).
Build FastAPI endpoints that integrate with agent frameworks; handle async execution, error handling, validation.
Optimize SQL queries and design efficient PostgreSQL schemas (indexes, constraints, migrations).
Integrate vector databases (Pinecone, Weaviate, Milvus) for semantic search and RAG pipelines.
Write production‑quality Python agents using LangChain, CrewAI, or similar.
Debug complex issues spanning multiple layers (frontend state, API contract, database query, agent behavior).
Mentor junior engineers on technical decisions and code quality.
Lead code reviews and advocate for technical excellence.
Tech Stack
Frontend
– React, TypeScript, Vite, state management, testing.
Backend
– FastAPI, Python, async/await, Pydantic, authentication.
Agents & AI
– LangChain, CrewAI, MCP, tool integration, prompt engineering, Claude Skills and Agents.
Data
– PostgreSQL, Vector DBs, RAG, embeddings.
DevOps
– Docker, Docker Compose, CI/CD, AWS/GCP basics.
Technical Experience Frontend Expertise
Advanced React patterns: compound components, render props, context/Redux/Zustand.
Strong TypeScript: discriminated unions, utility types, generics.
Performance optimization: code splitting, memoization, render cycle understanding.
Testing with React Testing Library or Cypress.
Backend & API Design
Design REST APIs with proper HTTP semantics, validation, error handling.
FastAPI expertise: Pydantic models, async/await patterns, authentication/authorization.
API testing with pytest; writing testable, maintainable code.
AI & Agent Frameworks
Deep understanding of LangChain, CrewAI, or Autogen.
Build multi‑step workflows: planning, memory, tool use, reflection.
Prompt engineering: temperature, tokens, few‑shot, chain‑of‑thought.
Testing agents: deterministic tests, mocking LLM responses, validation.
Database & Search
Complex SQL: JOINs, subqueries, window functions, CTEs.
Schema design: normalization, constraints, index strategies.
Query optimization and EXPLAIN analysis.
Vector DB integration: Pinecone, Weaviate, Milvus, Chroma.
RAG pipelines: chunking, embedding, retrieval, summarization.
Deployment & Operations
Docker: efficient Dockerfiles, multi‑stage builds, optimization.
Docker Compose for local development.
CI/CD pipeline understanding (GitHub Actions, GitLab CI).
Basic cloud infrastructure (AWS, GCP, or Azure).
Preferred Qualifications
Redis caching and optimization.
Message queues (Celery, Bull).
GraphQL experience.
Advanced prompt engineering and fine‑tuning experience.
We thank all applications who apply; however, only those selected for an interview will be contacted.
If you require any accommodation during the recruitment process, please let us know and we’ll endeavor to put reasonable provisions into place.
#J-18808-Ljbffr
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