Senior Software Engineer building AI-first software for Miovision’s real-time traffic signal optimization platform. Designing distributed systems and advancing agentic engineering workflows.
Responsibilities
Build deep context across traffic operations, customer needs, real-time systems, edge devices, distributed architectures, and legacy code
Translate ambiguous requirements and complex system failures into problem definitions, technical designs, prototypes, and production software
Use AI tools and agentic workflows for system exploration, design, implementation, testing, debugging, and production operations
Break complex initiatives into structured work for engineers and AI agents
Design, build, test, deploy, and operate reliable, scalable, secure, and maintainable software across distributed systems and connected infrastructure
Move across unfamiliar technology stacks, services, and programming languages as needed
Review AI-generated code and designs, maintaining accountability for system quality, security, and performance
Use prototypes and short feedback loops to reduce uncertainty
Balance customer value, delivery speed, reliability, security, cost, and maintainability
Collaborate with Product, Architecture, QA, Cloud, Customer Support, customers, and engineers
Create documentation, test suites, guardrails, and observability tools for safe, repeatable AI-assisted development
Share AI workflows, mentor engineers, and help define AI-first engineering practices across Miovision
Requirements
Extensive professional software engineering experience delivering complex, scalable production systems; 8+ years preferred but not required with equivalent demonstrated capability
Proven track record of building customer-facing products and making sound engineering decisions in fast-paced environments with incomplete or evolving information
Demonstrated experience using frontier AI models, modern AI coding tools, or AI agents to accelerate development
Ability to structure architecture and context so AI tools produce verifiable, maintainable code
Strong foundation in system design, debugging, testing, reliability, security, maintainability, and production operations
Experience with distributed systems, event-driven architectures, APIs, data-intensive applications, and cloud/connected device platforms
Ability to become effective quickly in unfamiliar technical stacks or business domains and reason across multiple modern languages, including Java, Kotlin, C#, TypeScript, and Python
Familiarity with Git, containers, CI/CD pipelines, Linux-based systems, observability, and production troubleshooting
Outstanding ability to articulate technical assumptions, trade-offs, and risks to technical and business stakeholders
Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience, is an asset
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