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Added 8 mins ago
AI
Salesforce AI & Data Cloud Solutions Engineer
AGF Investments
Toronto, ON
- Full-time
We are seeking a hands-on Data Engineer to own both the underlying CRM data foundation and the Data360 platform. The role will design, build, govern, and support scalable data models,…
Added 9 mins ago
JW
Senior Software Engineer, Tokenization
Jobs Web3
Toronto, ON
- Full-time
As a Senior Software Engineer, you will design and build the core systems that issue, custody, and settle tokenized equities on-chain and keep them in sync with traditional brokerage and…
Added 10 mins ago
R
Data Engineering Manager
Relay
Remote, Canada
- $207,000 to $253,000 CAD / year
- Full-time
- Remote
…pipelines and dashboards that teams use to run the company. Data Platform, the team you'll lead, owns the foundation underneath: infrastructure, cost, real-time data, observability, and the…
Added 23 mins ago
PE
Senior Security Engineer
PheedLoop Events
Toronto, ON
- Full-time
Think like an attacker every day. Run internal red team engagements against PheedLoop's platform, infrastructure, and people, then turn every finding into a fix that actually ships. Your…
Added 23 mins ago
H
Senior Data Engineer
HCLTech
Toronto, ON
- $90,000 to $120,000 CAD / year
- Full-time
We are seeking a hands-on Senior Data Engineer to lead the development, support, and continuous improvement of our Azure-based data platform. This role combines data engineering, platform…
Added 23 mins ago
AO
Electrical Engineer
AML Oceanographic Ltd.
Saanichton, BC
- $87,500 to $104,000 CAD / year
- Full-time
Owns Component Selection Discipline: Are my BOM choices defensible on cost, lead time, and availability?
Added 23 mins ago
AO
Electrical Engineer
AML Oceanographic Ltd.
Dartmouth, NS
- $87,500 to $104,000 CAD / year
- Full-time
Owns Component Selection Discipline: Are my BOM choices defensible on cost, lead time, and availability?
Added 25 mins ago
SF
Application Security Engineer II
Spring Financial Inc.
Vancouver, BC
- Full-time
As an Application Security Engineer II, you are an experienced practitioner who works independently to secure Spring’s applications, services, and APIs. You take ownership of application…
Added 54 mins ago
N
Sr. Principal Software Engineer
Nokia
Ottawa, ON · Kanata, ON
- Full-time
We are looking for an experienced software engineer to lead the development of our distributed edge compute platform. This role demands a deep understanding of hyperscalers like AWS, Azure,…
Added 54 mins ago
SF
Application Security Engineer II
Spring Financial
Vancouver, BC
- Full-time
As an Application Security Engineer II, you are an experienced practitioner who works independently to secure Spring’s applications, services, and APIs. You take ownership of application…
Added 55 mins ago
Senior Platform Engineer
Scotiabank
Toronto, ON
The Senior Platform Engineer will play a critical role within the Enterprise Data & AI Technology organization - one of Scotiabank’s most significant enterprise wide strategic initiatives.…
Added 55 mins ago
GM
Senior Software Developer
General Motors
Markham, ON · Oshawa, ON
- Full-time
This role is for a hands-on senior engineer who can design, implement, test, deploy, and operate reliable backend systems at production scale. The developer will contribute across REST…
Added 1 hour ago
RB
Staff Cloud Security Engineer (Global Security)
Royal Bank of Canada
Vancouver, BC · Toronto, ON
- Full-time
…across all tenants. In this role as a Staff Cloud Security Engineer, you will play a crucial role in developing innovative solutions to enhance RBC's Cloud Security posture. You will also…
Added 1 hour ago
Spécialiste en Ingénierie Mécanique - Centre de Données, Mechanical Engineering Specialist – Data Centers, Data Center Field Engineering
Amazon
Varennes, QC
Initiate and lead engineering audits including on-site visits within Amazon’s data centers. Produce reports outlining risks with recommended mitigations and remediations.
Added 1 hour ago
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Data Architect
Rodan Energy Solutions Inc.
Mississauga, ON
- Full-time
Databricks certification, such as the Databricks Azure Platform Architect accreditation or Data Engineer Professional
Added 1 hour ago
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Director of Engineering
Acara Solutions, An Aleron Company
Cambridge, ON
- Full-time
…organization to recruit a Director of Engineering who will lead the Engineering and Quality functions across multiple Ontario…
Added 1 hour ago
JW
Senior Software Engineer, Web3 Backend
Jobs Web3
Toronto, ON
- Full-time
As a Senior Software Engineer, you’ll architect, build, and scale the backend services, infrastructure, and data systems that support Robinhood’s next-generation crypto, web3, and wallet…
Added 1 hour ago
RS
Electrical Controls Engineer
Redpath Sugar Ltd
Toronto, ON
- Full-time
The Electrical Controls Engineer is responsible for maintaining instrumentation, electrical and control systems in support of plant production, quality, GMP and safety goals. Design and…
Added 1 hour ago
T
Software Engineer I - Front End
TD
Toronto, ON
- Full-time
Added 1 hour ago
RE
Data Architect
Rodan Energy Solutions Inc.
Mississauga, ON
- Full-time
Databricks certification, such as the Databricks Azure Platform Architect accreditation or Data Engineer Professional
Added 2 hours ago
AM
Salesforce AI & Data Cloud Solutions Engineer
AGF Management
Toronto, ON
- Full-time
We are seeking a hands-on Data Engineer to own both the underlying CRM data foundation and the Data360 platform. The role will design, build, govern, and support scalable data models,…
Added 3 hours ago
M(
Director of Platform Engineering
MaintainX (An Autodesk Company)
Remote, Canada
- $173,000 to $254,000 CAD / year
- Full-time
- Remote
We're looking for an Engineering Director to lead MaintainX's Platform division. Platform owns the seven foundational teams every product engineer builds on: AI Builder, DevOps, Compliance,…
Added 3 hours ago
Senior Software Dev Engineer, EC2 Hyperplane
Amazon
Vancouver, BC
Hyperplane is the distributed network virtualization platform behind AWS services such as NAT Gateway, Network Load Balancer, Gateway Load Balancer, AWS PrivateLink and Elastic File System.…
Added 3 hours ago
SS
Application Support Engineer – SWIFT & Mainframe, Assistant Vice President
State Street
Toronto, ON
- Full-time
Lead root cause analysis and implement permanent fixes for production incidents
Added 3 hours ago
SS
Application Support Engineer – SWIFT & Mainframe, Assistant Vice President
State Street
Toronto, ON
- Full-time
Lead root cause analysis and implement permanent fixes for production incidents

General Motors

Senior Software Developer

Markham, ON, Canada
Oshawa, ON, Canada

The salary range for this role is $115,000 to $164,600. · Full-time

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Job details

Pay: The salary range for this role is $115,000 to $164,600.
Job type: Full-time
Apply by: Oct 23, 2026
Experience: 5+ years of professional software engineering experience developing and supporting production systems.
Posting language: English
Posted: Oct 8, 2026

Original job description

Job Description

Vacancy Status:

Yes - This posting is for an existing vacancy within the organization and is open to new applications. (Backfill)

AI Disclosure:

As part of the application process, Artificial Intelligence will be used in the hiring process for this role

Hybrid - This role is categorized as hybrid. This means the successful candidate is expected to report to our hub in Markham, ON three times per week, at minimum.

Role overview

General Motors is seeking a Senior Software Developer to build and evolve the software platforms that support production mapping, Data Over the Air (DOTA) Back Office capabilities, and future map-database foundations.

This role is for a hands-on senior engineer who can design, implement, test, deploy, and operate reliable backend systems at production scale. The developer will contribute across REST services, distributed data workflows, cloud infrastructure, database architecture, release automation, observability, and operational support. The work will help deliver accurate map data and establish scalable foundations for future mapping and Super Cruise capabilities.

The ideal candidate combines strong software engineering fundamentals with practical experience building cloud-native services and data-intensive systems. Experience with mapping, geospatial data, ADAS, connected vehicles, OTA delivery, or other high-scale distributed platforms is valuable. Familiarity with emerging Agentic AI capabilities is a plus, but the primary focus is excellent software and platform engineering.

Key responsibilities

Design and develop production-grade backend services and REST APIs that support DOTA Back Office workflows, map-data delivery, release management, and related Production Mapping capabilities.
Build reliable services and data pipelines that ingest, transform, validate, store, version, archive, and distribute map data and metadata.
Help define the next generation of map-database foundations, including data models, schemas, interfaces, data lifecycle strategies, partitioning, indexing, query performance, and evolution of database platforms over time.
Develop software across the full SDLC: requirements clarification, design, implementation, code review, automated testing, deployment, monitoring, incident response, and continuous improvement.
Apply sound software design principles, including modularity, maintainability, security, testability, resilience, observability, and clear separation of concerns.
Deploy and operate workloads in approved cloud environments using modern cloud-native patterns, containerization, infrastructure as code, and automated CI/CD.
Improve the reliability, scalability, performance, cost efficiency, and operational readiness of DOTA and map-data services.
Build automated validation and release-readiness checks that help ensure map-data quality and safe, repeatable production releases.
Collaborate with mapping, DOTA, data engineering, vehicle software, validation, infrastructure, and product stakeholders to translate business and technical needs into durable solutions.
Participate in production support and contribute to operational practices such as dashboards, alerting, runbooks, root-cause analysis, and incident prevention.
Mentor engineers through design reviews, code reviews, technical guidance, and knowledge sharing.
Stay current with practical uses of AI-assisted development and Agentic AI, and identify appropriate opportunities to improve engineering productivity, diagnostics, testing, documentation, or operational workflows.

Required qualifications

Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline; equivalent practical experience may be considered.
5+ years of professional software engineering experience developing and supporting production systems.
Strong proficiency in at least one backend programming language such as Python, Java, Go, C++, or C#.
Demonstrated experience designing and implementing RESTful services, APIs, and backend applications.
Strong database experience, including relational database design, SQL, schema design, data modeling, indexing, query optimization, transactions, and data integrity.
Experience with one or more NoSQL, distributed, analytical, or cloud-native data technologies.
Experience with software development fundamentals, object-oriented or equivalent design, algorithms and data structures, concurrency, error handling, and performance tradeoffs.
Experience working through the SDLC, including requirements, architecture/design, implementation, unit and integration testing, code reviews, CI/CD, deployment, and production support.
Experience developing cloud-based applications using services for compute, storage, networking, security, and monitoring.
Experience with Git-based development workflows and automated build, test, and deployment pipelines.
Strong communication and collaboration skills, with the ability to explain technical decisions to both engineering and non-engineering partners.

Preferred qualifications

Experience with Azure and/or Google Cloud Platform.
Experience with Kubernetes, Docker, Terraform, Databricks, Apache Spark/PySpark, workflow orchestration, or event-driven systems.
Experience with data-intensive systems, large-scale pipelines, data archiving and retrieval, data lineage, or high-volume content delivery.
Experience with geospatial data, map databases, HD mapping, ADAS, autonomous vehicles, connected vehicles, OTA systems, or embedded/vehicle software platforms.
Experience designing systems for high availability, horizontal scalability, disaster recovery, and operational resilience.
Experience with observability practices, including structured logging, metrics, tracing, dashboards, alerting, and SLO-oriented operations.
Familiarity with modern AI-assisted software development and Agentic AI concepts, such as LLM-enabled developer tools, workflow orchestration, retrieval-augmented systems, automated triage, or human-in-the-loop engineering workflows.
Experience evaluating AI-enabled engineering workflows for accuracy, security, privacy, reliability, and responsible adoption.

Compensation:

The salary range for this role is $115,000 to $164,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE

Benefits:

The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:

Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
Healthcare, dental and vision benefits including health care spending account and wellness incentive.
Life insurance plans to cover you and your family.
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
GM Vehicle Purchase Plan for you and your family.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Non-Discrimination and Equal Employment Opportunities

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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More about this job

Responsibilities

The Senior Software Developer will design, implement, and operate production-grade backend services and data pipelines to support mapping and DOTA workflows. They will also contribute to database architecture, release automation, and cross-functional collaboration to ensure scalable and reliable system performance.

Requirements

Candidates must have a bachelor's degree in a technical discipline and at least 5 years of professional software engineering experience. Proficiency in backend programming languages, database design, and cloud-native development practices is required.

Skills

Software engineering
Backend development
REST APIs
Cloud infrastructure
Database architecture
Python
Java
Go
C++
C#
SQL
Data modeling
CI/CD
Containerization
Observability
Distributed systems

Benefits

Paid time off
Healthcare
Dental
Vision
Life insurance
Vehicle purchase plan

Visa sponsorship

Not detected in the job text

Keywords

Software Developer
Backend
RESTful Services
Cloud-native
Data Pipelines
Database Design
SQL
NoSQL
Kubernetes
Docker
Terraform
Databricks
Apache Spark
CI/CD
Geospatial Data
ADAS
Connected Vehicles
Agentic AI
SDLC
Infrastructure as Code
Observability
Azure
Google Cloud Platform
Distributed Systems
Production Mapping
Data Over the Air
Metadata
API
Git
Scalability

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