Position SummaryWe 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 ResponsibilitiesRapid 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 ProfileExperience 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! 
