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Added 22 mins ago
CT
Senior Network & Security Engineer
Charter Telecom
Burnaby, BC · Vancouver, British Columbia
- Full-time
We are seeking an experienced Senior Network & Security Engineer to design, implement, and support enterprise networks for clients. You will lead network projects from design through…
Added 22 mins ago
CT
Senior Network & Security Engineer
Charter Telecom
Calgary, AB
- Full-time
We are seeking an experienced Senior Network & Security Engineer to design, implement, and support enterprise networks for clients. You will lead network projects from design through…
Added 36 mins ago
SL
Data Engineer
Sifar Labs
Toronto, ON
- Full-time
…informed decisions. The team works with modern data platforms, cloud services, and analytics tools to create scalable and reliable data infrastructure. Sifar Labs values collaboration,…
Added 1 hour ago
U
Full-Stack Software Engineer
Ultrassure
Remote, Canada
- Full-time
- Remote
We are hiring a Full-Stack Software Engineer to help build the next generation of the platform.
Added 1 hour ago
CT
Senior Network & Security Engineer
Charter Telecom
Victoria, BC
- Full-time
We are seeking an experienced Senior Network & Security Engineer to design, implement, and support enterprise networks for clients. You will lead network projects from design through…
Added 1 hour ago
TU
Assistant Professor or Associate Professor in Computer Engineering
The University of British Columbia
Vancouver, BC
- Full-time
…co-design; operating and runtime systems; compilers; distributed, cloud, and edge systems; networking; data-intensive systems and storage; and hardware and systems security. We particularly…
Added 1 hour ago
X
Lead Engineer - Payments Platform
Xero
Remote, Canada
- Full-time
- Remote
…across the entire ecosystem, collaborating closely with product, security, risk, and operations. We are a highly collaborative collective that values technical excellence, inclusion, and…
Added 2 hours ago
M
Lead AI Solutions Engineer
McKesson
Mississauga, ON
- Full-time
The US Oncology Network is seeking a Lead AI Solutions Engineer (Forward Deployed Engineering) to drive the identification, design, prototyping, and validation of AI-enabled solutions that…
Added 2 hours ago
ES
Senior Site Reliability Engineer – AEM
Epsilon Solutions Ltd.
Toronto, ON
- Full-time
We are seeking a hands-on Senior Site Reliability Engineer (SRE) with experience supporting Adobe Experience Manager (AEM), particularly Edge Delivery Services and Assets as a Cloud…
Added 2 hours ago
S
Platform Architect - AI Platform
SIMPRO
Montreal, QC
- Full-time
The Platform Engineer designs, builds, and maintains the Simpro platform infrastructure to ensure scalability, reliability, and performance. The Platform Engineers will automate the…
Added 2 hours ago
AI
GCP Data Engineer
Aptino, Inc.
Canada
- Contract
We are looking for an experienced GCP Data Engineer with strong hands-on experience in Google Cloud Platform, BigQuery, SQL, and data warehousing. Experience with dbt, Python, and…
Added 2 hours ago
IG
Platform Engineer
Insight Global
Toronto, ON
- $120,000 to $140,000 CAD / year
- Full-time
Insight Global is looking for a Lead AI Engineer to join a leading bank based in Toronto. You will be part of the Cloud Engineering Infrastructure team supporting the platform operations.…
Added 2 hours ago
IL
Technical Customer Support 2
Intrado Life & Safety, Inc.
Montreal, QC · Saint-Laurent, Quebec
- Full-time
…solution de traitement des appels d'urgence basée sur le Web et le Cloud. La prochaine génération de 911 (NG911) est actuellement en cours de développement pour s'adapter aux dernières…
Added 2 hours ago
L
Senior Yocto Developer Toronto
Litmus
Remote, Canada
- Full-time
- Remote
AI is moving beyond the cloud and into the physical world. At Litmus, you’ll build the infrastructure that enables real-time data to power AI and machine learning systems in production…
Added 3 hours ago
NS
Senior Site Reliability Engineer (SRE) – CDN & Web Performance
N2P Systems
Toronto, ON
- Full-time
We are seeking a Senior Site Reliability Engineer (SRE) to help build and operate a modern, public-facing enterprise web platform delivered through Adobe Experience Manager (AEM) Edge…
Added 3 hours ago
UO
Assistant Professor or Associate Professor in Computer Engineering
University of British Columbia
Vancouver, BC · UBCV | Fred Kaiser Building (KAIS)
- Full-time
…co-design; operating and runtime systems; compilers; distributed, cloud, and edge systems; networking; data-intensive systems and storage; and hardware and systems security. We particularly…
Added 3 hours 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 3 hours ago
AI
GCP Infrastructure & Cloud SRE Engineer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Implement cloud security, IAM, networking, governance, and compliance controls.
Added 3 hours ago
SC
Spécialiste Conformité Electronique & Tests (Senior)
SII Canada
Montreal, QC
- Full-time
Professional Engineer designation or eligibility for professional engineering membership.
Added 3 hours ago
RI
Network security / Firewall Consultant
Raas Infotek
Calgary, AB
- Contract
9. Collaborate with SOC, Network, Cloud, and Infrastructure teams during major incidents and security events.
Added 3 hours ago
G
CyberSecurity Specialist- Agentic AI
Galent
Toronto, ON · North York, ON
- Contract
Develop solutions using LLMs, AI agents, APIs, cloud, containers, and security automation.
Added 3 hours ago
LI
GCP Infrastructure Engineer
LanceSoft, Inc.
Toronto, ON
- $50 to $55 CAD / hour
- Contract
Implement cloud security, IAM, networking, governance, and compliance controls.
Added 3 hours ago
JW
Senior Software Engineer, Tokenization
Jobs Web3
Toronto, ON
- Full-time
…modern distributed systems - with a focus on accessibility, security, and scalability. Equity markets have been closed nights and weekends for a century; we're building the infrastructure…
Added 3 hours ago
S
Senior Software Engineer, Platform & Infrastructure
Spellbook
Canada
- Full-time
Spellbook is seeking a generalist Platform and Infrastructure Engineer to join our team. In this role, you'll work across our entire technical stack - from infrastructure (AWS, MongoDB,…
Added 3 hours ago
RI
Network security / Firewall Consultant
Raas Infotek
AB · Alberta, Canada
- Contract
9. Collaborate with SOC, Network, Cloud, and Infrastructure teams during major incidents and security events.

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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