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About the CMS Registry Solution

The CMS Registry Solution powers end-to-end collateral and lien management for banks, automotive finance companies, credit unions and other lenders. The platform automates the full lien lifecycle—registration, amendment, search, monitoring and discharge—to protecting lenders, reduce risk and ensure compliance, and provides value-added features such as lien validation, asset monitoring and fraud detection.

We’re actively modernizing the platform that is mission-critical used by major financial institutions with a focus on scalability, automation, and developer experience. Current work includes containerizing services, upgrading .NET runtimes, strengthening CI/CD and observability, and adopting Infrastructure as Code—alongside pragmatic AI-assisted development and intelligent QA.

You’ll join a small, critical, high-impact support team (engineers, product owner, engineering manager) focused on keeping customer-facing systems reliable and resolving real production issues. You’ll own the operational health of key parts of the platform, contribute to incident response and reliability improvements, and help raise the quality bar through strong troubleshooting, documentation, and engineering judgment.

The Software Engineer — Support is an individual contributor responsible for maintaining the reliability, stability, and operational health of CMS services. This role focuses on hands-on execution within a single team or service area, supporting production systems and contributing to continuous operational improvement.

The role works across the full stack — Angular frontends, .NET (Core / 6+ / .NET 8) services, and SQL Server — and delivers KTLO / BAU outcomes including incident response, production troubleshooting, runbook maintenance, release and patch support, and reliability improvements under guidance.

The engineer collaborates closely with Product, Development, Platform, and Database teams to help ensure service availability, meet SLAs, and support safe change delivery.

What You’ll Do: 

Incident Management & Operations

• Support the reliability and operational health of current EC2-hosted services while assisting with incident response, monitoring, and KTLO operations during the migration to containerized deployments
• Participate in production incident response by triaging issues and contributing to resolution in line with defined SLAs
• Participate in an on-call rotation, following established escalation paths and providing after-hours support as required
• Communicate incident status and updates clearly to technical stakeholders

Monitoring, Troubleshooting & Reliability

• Monitor application and infrastructure health using tools such as New Relic, SolarWinds DPA, CloudWatch, or Datadog
• Proactively tune alerts and act on early warning signals to prevent customer impact
• Diagnose complex production issues using logs, traces, metrics, and user reports
• Apply mitigations and deliver permanent fixes in collaboration with development teams

KTLO / BAU Ownership

• Maintain and update runbooks, playbooks, FAQs, and troubleshooting documentation
• Perform KTLO activities such as scheduled maintenance, patching, backups and restores, database indexing, archiving jobs, and capacity checks
• Support releases, hotfixes, and patches, including deployment validation and production smoke testing

Continuous Improvement

• Contribute to root cause analysis (RCA) for production incidents
• Identify recurring issues and suggest operational or automation improvements
• Assist with performance investigations, including SQL query analysis, under guidance
• Adopt automation and AI-assisted tooling to reduce operational toil and improve triage efficiency

What We’re Looking For:

Must Have

• Hands-on experience with .NET and C#, including modern .NET runtimes, for production support and fixes
• Familiarity with AWS services such as EC2, S3, CloudWatch, and IAM
• Exposure to CI/CD pipelines (GitHub Actions preferred), including release support and troubleshooting
• A DevOps mindset with interest in build, deploy, operate, and improve workflows
• Working knowledge of Angular, TypeScript, and RESTful APIs, with the ability to debug issues across the stack
• Experience supporting SQL Server–based applications, including basic performance analysis and operational tasks (AWS RDS experience a plus)
• Comfort working in production environments and responding to incidents
• Interest in using AI-assisted development and intelligent QA tools to improve productivity
• Strong collaboration, communication, and ownership mindset

Nice-To-Have

• Experience with Docker and containerized applications
• Exposure to Infrastructure as Code (Terraform or CloudFormation)
• Familiarity with modern test automation tools (e.g., Playwright, Cypress)
• Prior experience in L2/L3 production support or on-call rotations

Impact You’ll Deliver:

By joining the Support team, you’ll help keep the CMS platform stable and trusted by contributing to faster incident resolution, safer releases, improved operational documentation, and the organization’s transition toward more cloud-native and automated operations.

What’s In It For You?

We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best. 

 Benefits from Day 1 

• Gym discounts
• Employee and Family Assistance program
• Virtual wellness events
• Conferences & training budget
• Regular internal training programs 

Financial planning 

• Let us help you invest in your future with 3% matching towards your pension and multiple forms of income protection. 

 Competitive salary 

• Annual bonus structure
• 3% CPP matching 

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The base salary range for this position is CAD $100,000 – CAD $150,000.

This range reflects the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role the total rewards package may also include benefits, bonus, and other employee offerings.

Use of Artificial Intelligence in Hiring: We use artificial intelligence (“AI”) in our hiring process, including to screen, assess, or select applicants for this position.
Vacancy Status: This job posting is for an existing vacancy.

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About the CMS Registry Solution

The CMS Registry Solution powers end-to-end collateral and lien management for banks, automotive finance companies, credit unions and other lenders. The platform automates the full lien lifecycle—registration, amendment, search, monitoring and discharge—to protecting lenders, reduce risk and ensure compliance, and provides value-added features such as lien validation, asset monitoring and fraud detection.

We’re actively modernizing the platform that is mission-critical used by major financial institutions with a focus on scalability, automation, and developer experience. Current work includes containerizing services, upgrading .NET runtimes, strengthening CI/CD and observability, and adopting Infrastructure as Code—alongside pragmatic AI-assisted development and intelligent QA.

You’ll join a small, critical and high-impact team (engineers, product owner, engineering manager) focused on solving real customer problems with durable systems. You’ll be expected to own a major slice of the platform, lead technical execution for key initiatives, and raise the quality bar through strong engineering judgment.

What You’ll Do: 

Build & Evolve Critical Systems 

• Design and implement scalable, resilient backend and frontend services using .NET (Core / 6+ / 8), Angular, and RESTful APIs
• Lead registry modernization initiatives, including containerization of legacy .NET workloads, runtime upgrades, and improvements to deployment and operational reliability
• Contribute to data-layer improvements, focusing on performance, scalability, and operational reliability

Own Architecture & Technical Decisions 

• Drive technical design discussions and make pragmatic architectural decisions within the team
• Integrate observability, security, and performance best practices into system design
• Balance technical excellence with delivery needs when evolving existing systems

Build With an Ownership Mindset 

• Own solutions end-to-end, from design through deployment and production operation
• Establish and improve CI/CD pipelines using GitHub Actions and contribute to standardized engineering practices
• Take accountability for reliability, operational outcomes, and continuous improvement of owned systems

Collaborate & Lead 

• Collaborate closely with Product, Platform, and other engineering teams to deliver production-ready capabilities
• Mentor and support other engineers through code reviews, design discussions, and day-to-day technical leadership
• Act as a role model for strong ownership, technical quality, and constructive collaboration

What We’re Looking For:

Must Have

• Strong hands-on experience building production systems with .NET and C# (modern .NET preferred)
• Experience working with AWS services such as EC2, S3, CloudWatch, and IAM
• Proficiency in Angular, TypeScript, and RESTful API design
• Solid understanding of SQL Server and relational data modeling (managed database experience a plus)
• Comfort operating in production environments and learning from real-world feedback
• Demonstrated experience leveraging AI-assisted development and testing tools to improve productivity, code quality, and operational efficiency
• Clear communication skills and a collaborative, ownership-driven approach
• A builder’s mindset: If you can think it, you can build it. If you build it, you own it.

Nice-To-Have

• Experience with Docker, Terraform / CloudFormation, or Kubernetes-based platforms
• Background in system modernization, refactoring, or legacy platform evolution
• Experience with database performance optimization
• Exposure to AI-driven QA (e.g., Playwright, Cypress with AI integrations)

What’s In It For You?

We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best. 

 Benefits from Day 1 

• Gym discounts
• Employee and Family Assistance program
• Virtual wellness events
• Conferences & training budget
• Regular internal training programs 

Financial planning 

• Let us help you invest in your future with 3% matching towards your pension and multiple forms of income protection. 

 Competitive salary 

• Annual bonus structure
• 3% CPP matching 

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The base salary range for this position is CAD $140,000 – CAD $190,000.

This range reflects the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role the total rewards package may also include benefits, bonus, and other employee offerings.

Use of Artificial Intelligence in Hiring: We use artificial intelligence (“AI”) in our hiring process, including to screen, assess, or select applicants for this position.
Vacancy Status: This job posting is for an existing vacancy.

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Auto Repossession & Remarketing 

We’re looking for a Senior Software Engineer who takes end-to-end ownership, thrives in ambiguity, and wants to build systems that matter. This role is central to rethinking and rebuilding our auto repossession and remarketing platform, a system that directly influences how vehicles are recovered, processed, and remarketed across Canada’s automotive ecosystem. This is an AI-first engineering role—not in name, but in practice. You’ll continuously evaluate where AI (including LLMs and agentic tools) can meaningfully improve engineering velocity, system quality, and operational efficiency, while applying strong judgment about where it should not be used. 

You’ll help shape architecture, influence technical direction, and own what you build—from design to production. The impact is real, the scale is national, and the responsibility is genuine. 

What You’ll Do: 

Build & Evolve Critical Systems 

• Rethink and reshape core workflows based on a deep understanding of auto repossession and remarketing processes.
• Design and implement scalable, resilient systems using modern architectural principles: clear service boundaries, modularity, and observability.
• Incorporate LLMs and AI-driven components to improve data validation, document processing, and operational decision-making.
• Use AI-assisted and agentic coding tools to accelerate development—while maintaining high standards for correctness, security, and maintainability. 

Own Architecture & Technical Decisions 

• Drive architectural discussions and decisions, balancing pragmatism with technical excellence.
• Set and enforce high quality bars for new services and modules, with a focus on testability, performance, and reliability.
• Identify and reduce technical debt in ways that measurably improve developer velocity and system robustness. 

Build With an Ownership Mindset 

• Work across the full software lifecycle: design, build, deploy, operate, and iterate.
• Embrace a “you build it, you run it” DevOps mindset alongside your team.
• Make thoughtful trade-offs between effort, quality, and user value—always with accountability for outcomes. 

Collaborate & Lead 

• Work closely with product managers, designers, and other engineers in an agile, cross-functional team.
• Contribute ideas, challenge assumptions, and continuously improve how we build software.
• Mentor and support other engineers through code reviews, design discussions, and technical leadership. 

What We’re Looking For:

• A senior engineer who owns results, not just implementations.
• Someone who enjoys complex problem-solving and isn’t afraid of legacy systems—or changing them.
• Strong engineering fundamentals: clean code, testing discipline, system design, and performance awareness.
• Strong experience with TypeScript and modern React / Next.js
• Strong experience building production systems with .NET (Core / modern .NET preferred).
• Comfort operating in production environments and learning from real-world feedback.
• A builder’s mindset: If you can think it, you can build it. If you build it, you own it.
• Experience leveraging AI, Generative AI (GenAI) to enhance engineering productivity, automate repetitive tasks, and optimize workflows. You should demonstrate the ability to integrate AI-driven solutions into your daily work — such as code generation, debugging, reviews, documentation, and decision support—to improve efficiency for yourself and your teams. A proactive approach to exploring and implementing AI tools that drive innovation and streamline development processes is highly valued. 

What’s In It For You?

We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best. 

 Benefits from Day 1 

• Gym discounts
• Employee and Family Assistance program
• Virtual wellness events
• Conferences & training budget
• Regular internal training programs 

Financial planning 

• Let us help you invest in your future with 3% matching towards your pension and multiple forms of income protection. 

 Competitive salary 

• Annual bonus structure
• 3% CPP matching 

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The base salary range for this position is CAD $140,000 – CAD $190,000.

This range reflects the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role the total rewards package may also include benefits, bonus, and other employee offerings.

Use of Artificial Intelligence in Hiring: We use artificial intelligence (“AI”) in our hiring process, including to screen, assess, or select applicants for this position.
Vacancy Status: This job posting is for an existing vacancy.

Our Tensix team is building custom AI compute cores, RISC-V CPUs, and chiplet-based architectures for datacenter, edge, and automotive AI. Design Verification Engineers on this team validate compute IP and subsystems and build scalable DV infrastructure to keep verification fast, automated, and production-grade.

This role is hybrid, based out of Toronto, ON or Austin, TX.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Experienced in modern verification methodologies with strong SystemVerilog skills and exposure to structured testbench development.
• Comfortable working from block-level to system-level verification and reasoning about microarchitecture behavior from specs and waveforms.
• Proficient in Linux environments with Python, or Bash scripting for automate builds, parse logs, manage CI pipelines.
• Skilled in coverage-driven verification and confident debugging across RTL, testbench, and workload scenarios.
• Motivated by AI hardware and eager to learn verification strategies for new architectures and domains.

What We Need

• Contribute to verification of Tensix IP and subsystems from early planning through tape-out, owning coverage goals and driving them to closure.
• Build and maintain reusable verification environments, agents, scoreboards, and supporting infrastructure in SystemVerilog and Python.
• Develop constrained-random and directed tests and close functional, code, and assertion coverage using data-driven approaches.
• Debug complex issues across RTL and testbench while collaborating with design, firmware, compiler, and architecture teams.
• Help evolve DV infrastructure including regression flows, CI/CD integration, EDA compute environments, and reproducible setups.

What You Will Learn

• How Tenstorrent verifies AI-native compute architectures including Tensix cores, RISC-V CPUs, matrix units, vector units, and datapath.
• How simulation, emulation, and software-driven workloads combine to validate both functional correctness and performance.
• How numerical precision formats such as BF16, FP4, and INT8 and on-chip dataflow impact verification complexity and coverage strategy.
• How to build scalable DV infrastructure across hybrid compute environments including containerized regression systems.
• How data analytics and modern AI tooling can enhance verification workflows and accelerate convergence.

We are TRADER, a Canadian leader in digital automotive solutions. Our flagship brands - AutoTrader.ca, AutoSync, Dealertrack Canada and CMS - help Canadians buy, sell, and finance vehicles with confidence. 

AutoTrader.ca is Canada’s largest automotive marketplace, with over 25 million monthly visits.Through AutoSync, we provide software solutions to 3,500+ dealers, streamlining their operations, marketing,and sales. Dealertrack Canada is the country’s top automotive financing portal, processing more than 6.5 million credit applications each year. Collateral Management(CMS) is anational tech solution that boosts lien and registration services,recovery services, and insolvency management solutions for Canadian Lenders. 

Learn more at tradercorporation.com. 

ABOUT THE ROLE 

 
As a Senior Analytics Engineer, you will own and shape the analytical data architecture and modelling that powers enterprise reporting, self-service analytics, and AI-driven insights. You will define modeling standards, semantic layers, and data foundations across the organisation and act as a technical leader for reporting, analytics and AI use cases. You will work closely with data platform, data governance, and analytics teams across a modern cloud data stack. This position is permanent and based in Toronto, Canada. 

WHAT YOU’LL DO 

• define and evolve enterprise analytical data models and architecture using AWS technology  

• build and own semantic layers to align KPIs and business logic 

• lead AI-driven analytics use cases such as text-to-SQL and conversational BI 

• Set modeling standards, documentation, and best practices across teams 

• Collaborate with data platform engineering , data governance and the business stakeholders on scalable pipelines 

• Contribute to data modeling best practices  

YOU COME WITH 

• 7+ years in analytics engineering or data engineering roles 

• Advanced SQL skills and strong experience with data modeling 

• Strong experience with AWS, Glue, Athena, S3, and cloud analytics 

• Knowledge of orchestration tools (Airflow, Prefect, Dagster) 

• strong Python and PySpark skills for large-scale data processing 

• experience with AI-driven analytics and semantic modeling 

WHY TRADER 

We support your growth, well-being, and long-term success. Our benefits are designed to help you perform at your best - both at work and in your personal life. Benefits from Day One:  

• Gym membership discounts 

• Employee and Family Assistance Program 

• Virtual wellness sessions 

• Budget for conferences and external training 

• Regular internal learning programs 

• Financial Well-Being 

• 3% employer pension matching 

• Comprehensive income-protection options 

• Compensation 

• Competitive base salary 

• Annual performance bonus 
• 3% CPP matching 

The base salary range for this position is CAD $90k- $140k

This range reflects the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role the total rewards package may also include benefits, bonus, and other employee offerings.

As part of AutoScout24 group, Europe’s largest online car marketplace, we’re shaping the future of automotive retail in Canada and beyond. 

What’s in it for you 

We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best. 

• Gym discounts 
• Employee and Family Assistance program 
• Virtual wellness events 
• Conferences & training budget 
• Regular internal training programs 
• Financial planning with 3% matching Pension  
• Competitive salary 
• Annual bonus structure 

The base salary range for this position is CAD 90K + Performance Incentive

This range reflects the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role, the total rewards package may also include benefits, bonus, and other employee offerings. 

For a career where you can drive our business and shape your future, apply now. 

Senior ASIC (Front End) Design Engineer

Summary:

• As a Senior ASIC (Front End) Design Engineer, you will be responsible for all aspects of digital SoC design, from micro-architecture specification, RTL, verification, synthesis, lint, CDC, LEC, and static timing analysis to deliver a design meeting target power, performance, and area goals.
• Work with system architects, software, hardware, and verification engineers to plan, architect, design, implement, and deliver advanced automotive communication semiconductors and systems.
• You will be on the leading edge of the development and definition of advanced, high-performance custom silicon that embodies functions from a wide range of protocols, algorithms, and applications.
• Expected to flesh out product definitions with precise specifications of: an ASIC's internal and external interactions, data flow, processing algorithms across a number of disciplines, resource management, and software interfaces.
• You will be a trusted self-starter who can work with very little guidance or oversight.
• This position is located in: Toronto, Canada - Hybrid

Key Qualifications:

• BS and/or MS in Electrical Engineering, Computer Science, or related field
• Minimum 10+ years of ASIC RTL design and/or architecture experience
• Proven track record with the development of complex SoCs
• Strong understanding of digital design fundamentals and methodologies
• In-depth knowledge of Verilog/System Verilog and simulation tools.
• Self-motivated and able to work effectively both independently and in a team

Additional Success Factors:

Experience in any of the following areas:

• Networking (Ethernet MAC, PHY/PCS, Switching, TCP/IP, PCIe and other industry standard protocols)
• Digital signal processing filters
• Digital Mixed-Signal modeling, design, and integration
• IP integration (SerDes, controllers, processors, etc.)
• Video standards, protocols, processing
• Perl, TCL, C/C++, Make

Personal Skills:

• Excellent communication/documentation skills.
• Attention to details.
• Collaboration across multidisciplinary and international teams.

What You Can Expect from Ethernovia:

• Technology depth and breadth expansion that can’t be found in a large company
• Opportunity to grow your career as the company grows
• Pre IPO stock options
• Cutting edge technology
• World class team
• Competitive base salary
• Flexible hours
• Medical, dental and vision insurance for employees

#LI-Hybrid