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Added 1 min ago
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Miovision

Senior Software Engineer, Adaptive

Remote, Canada

Pay: $130,000 to $170,000 CAD / year
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Sep 30, 2026

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Original job description

About Miovision:

At Miovision, we’re unlocking transportation networks that move you. Our vision and mission is to enable smart, fast, safe communities that simply flow, as we drive the Intelligent Mobility Revolution. Backed by the world’s most advanced traffic AI, Miovision’s innovations in traffic signal planning and operations are making it possible for cities to improve the transportation experience for drivers, cyclists and pedestrians.

Our values drive us. They’re at the core of everything we do. If they align with yours, proceed through the GREEN light!

All in to win: We're driven by a winning mindset, approaching every challenge with intensity, clarity, and speed.
One Miovision: We succeed as one team, uniting diverse talents, building on trust, and putting our shared mission before ego.
Be better every day: We're committed to continuous growth, staying curious, building mastery, and embracing challenges as learning opportunities.
Make it happen: We are proactive and results-driven, taking ownership, acting with urgency, and focusing on solutions that deliver real impact.
Earn the customer: We are deeply customer-centric, focused on earning our customers' partnership every day by delivering exceptional experiences that drive their success.

Position Summary

We are looking for an experienced, AI-first Senior Software Engineer to join our Adaptive team. Our Adaptive product operates at the cutting edge of real-time traffic signal optimization, adjusting signal timings second-by-second to manage physical vehicle flow at intersections. This work spans traffic operations, field devices, distributed systems, and real-time data under high domain ambiguity. Rather than looking for specific programming languages or frameworks, we value engineers who can:

Rapidly acquire domain context and ask the right questions.
Leverage AI tools and agentic workflows.
Navigate complex, ambiguous problems to build reliable production outcomes.

This is a hands-on product engineering role, not an AI research or model-development position. You will take complete ownership of ambiguous problems and establish AI-enabled software practices that shape how engineering is done across Miovision.

Objectives and Responsibilities

Rapid Context Building & Problem Solving

Rapidly build deep context across domain concepts, customer needs, real-time traffic operations, edge devices, distributed system architecture, and legacy codebase.
Translate ambiguous, incomplete requirements or complex system failures into clear problem definitions, technical designs, working prototypes, and production software.

AI-First Execution & Agentic Workflows

Utilize AI tools and agentic workflows as a primary part of day-to-day software delivery, including system exploration, design, implementation, automated testing, debugging, and production operations.
Break complex initiatives into structured work that can be executed effectively by both engineers and AI agents.
Provide clear context, constraints, guardrails, and evaluation criteria to guide AI-assisted coding tools toward accurate and verifiable outputs.

System Engineering & Production Delivery

Design, build, test, deploy, and operate reliable, scalable, secure, and maintainable software across distributed systems and connected infrastructure.
Move fluidly across unfamiliar tech stacks, services, and languages whenever a problem demands it.
Critically review and evaluate AI-generated code and designs, taking ultimate accountability for overall system quality, security, and performance.
Use prototypes and short feedback loops to reduce uncertainty before committing to larger technical investments.
Make pragmatic trade-offs between customer value, delivery speed, reliability, security, cost, and long-term maintainability.

Collaboration & Engineering Excellence

Partner closely with Product, Architecture, QA, Cloud, Customer Support, customers, and other engineers to connect technical work to measurable outcomes.
Create supporting documentation, test suites, guardrails, and observability tools to make AI-assisted development safe and repeatable.
Share effective AI workflows, mentor other engineers, and help define how AI-first engineering should operate across Miovision.

Ideal Profile

Experience and Mindset

Proven Experience: Extensive professional software engineering experience delivering complex, scalable production systems (8+ years preferred but not required with equivalent demonstrated capability).
Product Delivery and Autonomous Decision-Making: Proven track record of building customer-facing products and making sound, high-judgment engineering decisions in fast-paced environments with incomplete or evolving information.
Continuous Innovation and Quality: Curious, adaptable, and eager to challenge legacy software development norms while upholding a strict commitment to engineering excellence.
Communication: Outstanding ability to articulate technical assumptions, trade-offs, and risks clearly to both technical and business stakeholders.

AI Proficiency and Modern Workflows

Practical AI Execution: Demonstrated experience using frontier AI models, modern AI coding tools, or AI agents to significantly accelerate development speed, quality, or scope.
Context Structuring: Ability to break down architecture and context effectively so AI tools produce verifiable, maintainable code.

Technical Domain and Core Fundamentals

Software Engineering Fundamentals: Strong foundation in system design, debugging, testing, reliability, security, maintainability, and production operations.
Distributed Architecture: Experience with distributed systems, event-driven architectures, APIs, data-intensive applications, and cloud/connected device platforms.
Language Agnostic: Ability to become effective quickly in an unfamiliar technical stack or business domain, reasoning about code across multiple modern languages (e.g., Java, Kotlin, C#, TypeScript, Python). Specific stack experience is secondary to adaptability and ability to learn.
Engineering Practices: Familiarity with Git, containers, CI/CD pipelines, Linux-based systems, observability, and production troubleshooting.
Communication: Outstanding ability to articulate technical assumptions, trade-offs, and risks clearly to both technical and business stakeholders.
Education: Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience) is an asset.

This position is for an actual vacancy.

Your Rewards & Well-being:
We invest in our team with benefits designed for modern life and true work-life balance.

Comprehensive Coverage: Your well-being is covered from day one with comprehensive health benefits, 24/7 virtual healthcare access, and dedicated wellness programs.
Financial Future: Build for tomorrow with our RRSP/401K Matching Plan and share in the company's success through our Variable Incentive Plan.
Time to Recharge: Truly unplug with our unique Mio-Days and flexible vacation policy.
Work & Life Support: We support you with flexible work options, an internet subsidy, a remote work allowance, and enhanced leave for new parents.

Sound like your next adventure? Apply now and let's start building together!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Please indicate if you require accommodation on your application, and our team will work with you to meet your accessibility needs.

Miovision may use artificial intelligence (AI) to assist in the hiring process for tasks such as helping to identify qualified candidates, taking meeting notes, creating summaries, and streamlining administrative work. These tools are one of several factors considered in the hiring process and do not replace human judgement. We do not use AI to make any final hiring or interview decisions.

PLEASE BE AWARE OF FRAUD: Applicants interested in applying for roles at Miovision should apply directly via the details provided on our careers page. We communicate directly with applicants and will not request banking information, payment, or fees during any point of the recruitment process. We do not conduct interviews via text message. If you suspect that a third party is impersonating Miovision or requesting payment for recruitment on behalf of Miovision, please alert us via recruitment@miovision.com.

To all recruitment agencies: Miovision does not accept agency solicitation or resumes. Please do not forward resumes to our HR alias e-mail address, to any Miovision employee, or to other Miovision e-mail addresses. Miovision will not pay any fees related to unsolicited resumes.

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More about this job

Responsibilities

You will design, build, and operate scalable software for real-time traffic signal optimization while leveraging AI-first workflows. You are expected to take ownership of complex, ambiguous problems and partner with cross-functional teams to deliver reliable production outcomes.

Requirements

The role requires extensive professional software engineering experience with a strong foundation in distributed systems and production operations. Candidates must demonstrate the ability to rapidly acquire domain context and effectively utilize AI tools to accelerate development.

Skills

Software engineering
System design
Distributed systems
AI tools
Agentic workflows
Product engineering
Traffic operations
Cloud platforms
Debugging
Testing
Security
Maintainability
Production operations
Git
Containers
CI/CD

Benefits

Health benefits
Virtual healthcare access
Wellness programs
RRSP/401K matching plan
Variable incentive plan
Flexible vacation policy
Mio-days
Flexible work options
Internet subsidy
Remote work allowance
Enhanced leave for new parents

Remote locations

Canada

Remote locations (standardized)

Canada

Visa sponsorship

Not detected in the job text

Keywords

Software Engineering
Adaptive
Traffic AI
Intelligent Mobility
Distributed Systems
Edge Devices
AI-first
Agentic Workflows
Java
Kotlin
C#
TypeScript
Python
Git
Containers
CI/CD
Linux
Observability
System Design
Product Engineering
Traffic Signal Optimization
Cloud
API
Event-driven Architecture
Data-intensive Applications

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