КанадаSenior Software Engineer, Adaptive
2 нед. назад
130k–170k CAD / годКанадаSeniorRemote
aireal-time systemstraffic signal optimization
Experienced AI-first Senior Software Engineer to work on real-time traffic signal optimization in the Adaptive team.
О компании
- At , 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, ’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 : 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.
Другое
- 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 .
- 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.
- 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.
- 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.
- 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 .
- 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.
- 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.
- 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.
- 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.
- 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.
- 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 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 or requesting payment for recruitment on behalf of , please alert us via recruitment@.com.
- To all recruitment agencies: does not accept agency solicitation or resumes. Please do not forward resumes to our HR alias e-mail address, to any employee, or to other e-mail addresses. will not pay any fees related to unsolicited resumes.