Senior Software Developer

General Motors; Oshawa; Hybrid; CAD 115,000 - 165,000; Full time

Benefits offered by this job

GM Vehicle Purchase Plan

Healthcare and wellness benefits

Paid time off

Job summary

General Motors in Markham, Ontario, seeks an experienced backend engineer to design and develop production-grade services and REST APIs supporting DOTA Back Office workflows and map-data delivery. The role covers data pipelines, database design, CI/CD, and cloud-native deployments, with a strong focus on scalability, security, and observability.

You will collaborate across mapping, data engineering, vehicle software, validation, and product teams, mentor engineers, and contribute to AI-assisted

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or related technical discipline; equivalent practical experience may be considered.
• 5+ years of professional software engineering experience.
• Strong proficiency in at least one backend language (Python, Java, Go, C++, or C#).
• Experience designing and implementing RESTful services and backend applications.
• Strong database experience—SQL, schema design, data modeling, indexing, and transactions.

Responsibilities

• Design and develop production-grade backend services and REST APIs for DOTA back-office workflows and map-data delivery.
• Build reliable data pipelines for ingesting, transforming, validating, storing, and distributing map data and metadata.
• Define data models, schemas, interfaces, and data lifecycle strategies for map databases.
• Develop software across the full SDLC with code reviews, testing, deployment, and monitoring.
• Deploy and operate workloads in cloud environments using containerization and CI/CD.

Skills

Backend development

REST APIs

Cloud

Databases

CI/CD

AI-assisted development

Communication

Security

Education

Bachelor’s degree in Computer Science or related

Tools

Azure

Google Cloud Platform

Kubernetes

Docker

Terraform

Databricks / Spark

Job description

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.

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.

Benefits

• 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.

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.

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.

Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com).

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.