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Added 54 mins ago
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Observability Engineer – Kubernetes Platform
BullTechSystem
Halifax, NS
- Full-time
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization.
Added 1 hour ago
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Sr Staff/Principal DevOps Engineer, Machine Learning Infrastructure and Performance
Qualcomm
Markham, ON
- Full-time
Today, more intelligence is moving to end devices, and mobile is becoming the pervasive AI platform. Building on the smartphone foundation and the scale of mobile, Qualcomm envisions making…
Added 2 hours ago
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Software Engineer - AI/Inference /Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
…applications easy. Nutanix simplifies your learning curve on AI-ready infrastructure with Nutanix Cloud Platform for AI (GPT-in-a-Box). This high-performant Machine Learning full-stack…
Added 7 hours ago
GD
Software Engineering Developer, DevOps
General Dynamics Missions System International
Ottawa, ON
- $85,000 to $110,000 CAD / year
- Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 7 hours ago
BS
Technical Lead (Full-Stack Engineering & AI)
Brainhunter Systems Ltd
ON · Ontario, Canada
- Contract
…REST API via Apigee. You will also be able to establish cloud infrastructure, development environments, and CI/CD pipelines, working with enterprise platform teams where shared services or…
Added 9 hours ago
RB
Principal AI Engineer, Agentic Models and Data Platforms
Royal Bank of Canada
Calgary, AB
- Full-time
Contribute to reference architectures, reusable libraries, and platform components that accelerate delivery across teams.
Added 10 hours ago
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Senior Systems Engineer
illumin
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are hiring a Senior Systems Engineer to join our Infrastructure & Operations team. This is a senior, hands-on infrastructure role focused on Linux systems, virtualization, physical and…
Added 10 hours ago
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Data Quality Engineer
Hays
Toronto, ON
- Contract
As a Senior Quality Engineer, you will be responsible for defining and implementing quality assurance processes, developing automated tests, identifying and mitigating risks, and ensuring…
Added 11 hours ago
OS
Senior Forward Deployed Engineer (FDE)
Open Systems Technologies
Toronto, ON
- Contract
Be fluent in at least one major cloud platform and demonstrate the ability to deploy infrastructure as code reliably and repeatably.
Added 11 hours ago
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Principal AI Engineer, Agentic Models and Data Platforms
RBC
Calgary, AB
- Full-time
Contribute to reference architectures, reusable libraries, and platform components that accelerate delivery across teams.
Added 12 hours ago
Cloud Support Eng. II (DSE), Support Engineering
Amazon
Toronto, ON · Vancouver, BC
As a Cloud Support Engineer you will learn at an accelerated pace how to use and leverage many different cloud technologies to help our customers succeed. You will act as the Cloud…
Added 12 hours ago
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Principal AI Engineer, Agentic Models and Data Platforms
RBC
Calgary, AB
- Full-time
Contribute to reference architectures, reusable libraries, and platform components that accelerate delivery across teams.
Added 13 hours ago
VC
Développeur fiscal - Ingénieur de données | Tax Developer - Data Engineer
Valsoft Corporation
Montreal, QC · Saint-Laurent, Quebec
- Full-time
Valsoft is looking for a Data Analytics Engineer to join our Tax department in Montreal, Quebec, working closely with Tax, Finance, Data Platform teams, and external consultants to build…
Added 14 hours ago
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Senior Machine Learning Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Partner with platform engineering teams to integrate AI applications with the relevant platforms, APIs, identity and access management, monitoring, and deployment infrastructure
Added 15 hours ago
BS
Technical Lead
Brainhunter Systems Ltd
Toronto, ON
- Contract
Configure cloud infrastructure, development environments, infrastructure as code and CI/CD pipelines; partner with enterprise platform teams while remaining hands on in implementation and…
Added 17 hours ago
Applied AI Engineer
ContactMonkey
Toronto, ON
This is an AI engineering role with real infrastructure ownership. You won't be handed a platform - you'll help build the one our AI features run on. If you like being close to both the…
Added 18 hours ago
TH
QA Automation Engineer (Askuity division)
The Home Depot
Toronto, ON
- Full-time
We are looking for a dynamic QA Automation Engineer, eager to deliver high quality SaaS based products. As a member of the Product Development team at Askuity, you will help design and…
Added 1 day ago
A
Platform & Site Reliability Engineer
adidas
Woodbridge, ON
- Full-time
Platform & Site Reliability Engineer (Dev Ops/ AWS / SRE / Cloud)
Added 1 day ago
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Dev. Machine Learning Engineering II
Bell
Toronto, ON
- Full-time
…principles, software engineering best practices, and cloud infrastructure. The ideal candidate will be responsible for the development, deployment, and maintenance of ML models and…
Added 1 day ago
AI Engineer Intern (Masters)
Electronic Arts
Vancouver, BC
The Infrastructure and Platform Services (IPS) team serves as the backbone of EA's global ecosystem, supporting the creation of exceptional games and immersive player experiences. We offer…
Added 1 day ago
ES
Platform Engineer - AI/ML Infrastructure
Epsilon Solutions Ltd.
Toronto, ON
- Full-time
Were seeking a skilled Platform Engineer to deploy and manage our AI/ML infrastructure, e.g LlamaIndex Cloud and KDB.AI applications on Kubernetes Platform.
Added 1 day ago
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Technical Architect
Mphasis
Toronto, ON
- Contract
…of enterprise-scale Generative AI solutions on Google Cloud Platform (GCP). The ideal candidate will possess deep expertise in Retrieval-Augmented Generation (RAG), Large Language Models…
Added 1 day ago
Senior AI Engineer
Charger Logistics Inc
Brampton, ON
We are looking for a highly motivated Sr. AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments.…
Added 1 day ago
CL
Senior AI Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
We are looking for a highly motivated Sr. AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments.…
Added 1 day ago
AL
Principal Product Applications Engineer - Scorpio
Astera Labs
Vancouver, BC
- Full-time
Astera Labs is redefining the fabric of AI infrastructure with our Scorpio Smart Fabric Switches - purpose-built silicon that connects GPUs, CPUs, and accelerators at rack scale. As a…

Brainhunter Systems Ltd

Technical Lead

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 6, 2026
Experience: 8+ years building and operating complex enterprise digital products, including experience as a Technical Lead, Staff Engineer or senior full-stack developer.
Posting language: English
Posted: Oct 7, 2026

Original job description

Work Style: Hybrid (3 days in office)

Location city: Toronto or London

Number of Openings: 1

Anticipated Start Date: 4 weeks from the official offer day

End Date: 12 months duration

Contractor to work extra time or on-call: No

Role Title: Technical Lead

Reliability Clearance required: No

Any specific tools/skillset:

8+ years building and operating complex enterprise digital products, including experience as a Technical Lead, Staff Engineer or senior full-stack developer.
Demonstrated full-stack depth: Strong, recent hands-on delivery in both modern front-end engineering and backend/service development; able to move confidently across layers rather than specializing in only one.
Deep experience with TypeScript, React and Next.js, including component architecture, state management, server-side rendering, accessibility, responsive design and front-end performance.
Strong backend engineering experience with Java and Spring Boot, including REST APIs, microservices, asynchronous processing, data access, automated testing and production troubleshooting.
Experience designing and integrating REST, GraphQL and event-driven services using clear contracts, authentication, resiliency patterns and graceful failure handling.
Hands-on experience establishing cloud infrastructure, containers, infrastructure as code using Terraform, source-control workflows and CI/CD pipelines. Azure experience is preferred; Kubernetes and AWS experience are valuable.
Strong quality-engineering capability, including test driven development, defining test strategy and automation across unit, component, contract, API, integration, end-to-end, accessibility, performance and security testing.
Practical use of AI-assisted engineering tools - such as Claude Code, GitHub Copilot or comparable tools - to accelerate software delivery, testing, debugging and documentation within approved security and code-review controls.
Hands-on experience delivering AI/ML-enabled product features using modern model platforms and frameworks, including retrieval, prompt engineering, structured outputs, tool use, evaluation, guardrails and production monitoring.
Experience building reusable platform capabilities or modernizing fragmented applications while improving delivery speed, maintainability, reliability and customer outcomes.

Additional enterprise experience

Experience with API gateways, Kafka or comparable event platforms, headless content, personalization, feature flags, experimentation, analytics, caching and relational or document databases.
Ability to integrate CIAM (Okta Auth0), entitlement, consent, privacy, security and audit controls into end-to-end solutions in a regulated environment.
Strong observability practice using logs, metrics, distributed tracing and alerting; familiarity with OpenTelemetry, Azure Monitor/Application Insights or comparable tooling.
Working knowledge of secure software supply chains, dependency management, secrets management and controls for AI-assisted development.
Experience in financial services, insurance or another complex regulated environment is preferred.

Role profile description:

Canada Life is building an Enterprise Digital Strategy and Delivery team to create simpler, connected and intelligent experiences for customers and the people who support them. We are looking for a hands-on Technical Lead and Senior Full-Stack Engineer who can build across the front end, back end, experience engine and AI/ML layers - and establish the engineering foundations required to deliver them reliably.

In this role, you will remain hands on across the full technology stack - from React/Next.js user experiences and experience orchestration to Java/Spring Boot services, APIs, Kafka events and data integration using REST API via Apigee. You will also be able to establish cloud infrastructure, development

environments and CI/CD pipelines, working with enterprise platform teams where shared services or controls are involved.

Success means shipping secure, accessible and resilient journeys end to end; increasing reuse and delivery speed; embedding quality automation throughout the engineering lifecycle; and using approved AI engineering tools to improve productivity without compromising accountability, security or code quality.

What you will do

Design, code, test and deploy production capabilities across React/Next.js front ends, experience orchestration, Java/Spring Boot services, APIs, events and supporting data stores. Experience with using UML.
Create reusable components and orchestration services that assemble content, customer context, data, decisions and actions into consistent, personalized journeys.
Configure cloud infrastructure, development environments, infrastructure as code and CI/CD pipelines; partner with enterprise platform teams while remaining hands on in implementation and troubleshooting.
Implement automated unit, component, API, integration, end-to-end, accessibility, performance and security testing, with quality gates embedded in delivery pipelines.
Apply approved AI coding tools such as Claude Code to understand codebases, generate and refactor code, create tests, diagnose defects and automate routine development work - while maintaining human review, secure-development controls and accountability for every change.
Develop AI-assisted and agentic product features, including retrieval, prompt engineering, structured outputs, tool integration using MCP, agent to agent interaction using MCP, RAG, evaluation, guardrails, human oversight and production monitoring. Experience using AI agent frameworks like LangGraph, CrewAI, MS Agent Framework.
Establish shared UI patterns, design-system components, service templates, experience APIs and integration patterns that reduce duplication across role-based experiences.
Define and enforce coding, API, accessibility, testing, security, documentation, observability and operational-readiness standards through working examples, reviews and automated controls. Work effectively with Solution Architects to deliver desired business and technology outcomes.
Instrument services and journeys, diagnose issues across the stack and work with platform teams to resolve root causes and improve reliability.
Lead design reviews and technical spikes, recommend practical build, buy or reuse decisions, and coach developers through pairing and high-quality code reviews.

How you work

You stay close to the code and use working software to resolve ambiguity.
You put the end-to-end customer outcome ahead of a single system, channel or line of business.
You balance speed with security, reliability, accessibility, maintainability and cost.
You communicate decisions and trade-offs clearly to engineers, product partners, architects and senior stakeholders.
You challenge duplication and unnecessary complexity, while helping teams move from discussion to delivery.

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More about this job

Responsibilities

Build and deploy secure, accessible, resilient full-stack capabilities across React/Next.js, Java/Spring Boot, APIs, events, data stores, and AI-enabled product features. Establish reusable engineering patterns, cloud infrastructure, CI/CD and quality controls, while leading technical decisions, troubleshooting, and developer coaching.

Requirements

Requires 8+ years building and operating complex enterprise digital products, with recent hands-on expertise across modern front-end and backend development. Candidates should have strong experience with TypeScript, React/Next.js, Java/Spring Boot, cloud infrastructure, automated testing, AI/ML-enabled features, and secure delivery in complex environments.

Skills

TypeScript
React
Next.js
Java
Spring Boot
REST APIs
GraphQL
Kafka
Azure
Terraform
Kubernetes
CI/CD
Automated Testing
AI/ML Engineering
RAG
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

TypeScript
React
Next.js
Java
Spring Boot
REST APIs
GraphQL
Kafka
Apigee
Azure
AWS
Kubernetes
Terraform
CI/CD
Infrastructure As Code
Claude Code
GitHub Copilot
AI/ML
RAG
MCP
LangGraph
CrewAI
MS Agent Framework
OpenTelemetry
Azure Monitor
Application Insights
Test-Driven Development
Accessibility Testing
CIAM
UML

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