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Engineering Manager, Data & Services

Job in Montreal, Montréal, Province de Québec, Canada
Listing for: Autodesk
Full Time, Per diem position
Listed on 2026-06-23
Job specializations:
  • Software Development
    Backend Developer, Software Project Mgr/ Lead, Cloud Engineer - Software, Software Architect
Job Description & How to Apply Below
Location: Montreal

Position Overview

We are hiring an
Engineering Manager – Data & Services
to lead a team of software engineers responsible for building and operating backend services and APIs that support Autodesk’s enterprise data and platform capabilities. This role is intended for a people-focused engineering leader witha
strong foundationin backend software engineering
, APIs, and service-oriented architectures, who can effectively manage delivery, execution, and collaboration across product and engineering partners.

As an Engineering Manager, your primary responsibilityis to
lead
and enable the team
—through clear direction, strong execution, and continuous coaching—while staying sufficiently hands-on to guide technical decisions, review designs, and support production operations. This role requires comfortoperatingin ambiguity, balancing short-term delivery with long-term technical and organizational health.

Familiarity with data engineering concepts is beneficial, and the manager should be willing to engage in limited hands-on data or backend work when necessary.

Responsibilities

  • Lead, coach, and develop a team of backend software engineers, fostering strong engineering culture, accountability, and continuous improvement.

  • Own people management responsibilities including hiring, onboarding, performance management, career development, and engagement.

  • Run
    day-to-day agile execution
    for the team, including sprint planning, backlog refinement, capacity planning, delivery tracking, and retrospectives.

  • Partner closely with product and program management to translate roadmaps and requirements into clear, prioritized, and executable engineering plans.

  • Be accountable for
    delivery outcomes
    , quality, and team health—balancing scope, timelines, and technical tradeoffs.

  • Provide technical leadership for backend services and APIs, guiding architecture, reviewing designs and code, and ensuring sound engineering decisions.

  • Ensure the team builds andoperates
    scalable, reliable backend systems
    , including microservices, serverless components, and event-driven workflows.

  • Drive strong production ownership practices, including observability, incident response, root-cause analysis, and durable remediation.

  • Manage cross-team dependencies and collaborate with partner teams to deliver aligned outcomes.

  • Align team execution with broader organizational goals, engineering standards, and best practices.

  • Minimum Qualifications

  • Bachelor’s or Master’s degree in Computer Science,a related technical field, or equivalent practical experience.

  • 8+ years of professional software engineering experience
    , with a strong emphasis on backend systems and APIs.

  • 3+ years of people management experience
    , managing teams of software engineers.

  • Solid technical background in backend software engineering, including API and service development (e.g., Python or equivalent backend languages).

  • Hands-on experience designing and operating services on
    AWS
    or comparable cloud platforms.

  • Good understanding of
    distributed systems
    , including asynchronous processing, messaging, and fault tolerance.

  • Experience running agile delivery processes, including sprint planning, capacity management, and backlog prioritization.

  • Strong communicationskills and ability to collaborate effectively with product, program, and cross-functional stakeholders.

  • Preferred Qualifications

  • Experience managing teams that build
    platformor shared services
    consumed by multiple internal teams.

  • Experience with
    event-driven architectures
    and messaging/streaming platforms (e.g., Kafka, Kinesis, or equivalents).

  • Familiarity with
    data engineering concepts or platforms
    (e.g., data pipelines, data warehouses such as Snowflake).

  • Willingness and ability to engage in hands-on technical or data work when needed.

  • Experienceoperatingin large, distributed organizations with complexstakeholderand dependency landscapes.

  • Learn More
    About Autodesk
    Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

    We take great pride in our culture…
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