Director, Developer Operations and Experience

Miovision•Kitchener, ON

4d•Hybrid

About The Position

At Miovision, we are on a mission to cities that simply flow safely and efficiently. In order to keep the world’s traffic flowing, our internal systems need to be just as seamless. We are looking for a Director, Developer Operations and Experience to act as our primary architect of internal flow. The Developer Experience (DevExp) organization is a core part of Miovision’s Transformation, Delivery & Technology (TDT) department, responsible for building and operating Miovision’s Internal Developer Platform and Agentic SDLC. This platform enables engineers, solution engineers, QA, and other technical and semi-technical users to build, test, deploy, operate, and evolve software quickly, safely, and with confidence. As the Director, Developer Operations and Experience, you will lead a small team of DevOps Engineers and stay close to their day-to-day work, while also steering the evolution from a traditional DevOps function into a modern Developer Experience and Platform Engineering organization. This role owns the strategy, architecture, and execution of the internal developer platform, CI/CD, cloud foundations, observability, and developer tooling, while also pioneering how AI and agent-first pipelines are embedded into the software development lifecycle. This is a hands-on leadership role. You will build and lead a team, coach deeply, and regularly roll up your sleeves alongside engineers. At Miovision, everyone is a builder, and this role exists to ensure that building is fast, intuitive, secure, and increasingly AI-native while maintaining deep accountability for reliability, security, and production operations. Please note: We love collaborating in person. This is a hybrid opportunity with about one day a week spent at our Kitchener HQ. If you’re outside the local commuting area but think you're a perfect match, we still want to hear from you, however priority will be given to those who can meet this on-site requirement.

Requirements

10+ years of experience in Developer Operations, Developer Experience, Platform Engineering, or related domains.
Prior experience as a people leader, leading DevOps and/or Developer Experience teams.
Strong background in cloud platforms (AWS) and cloud-native architecture.
Deep understanding of CI/CD, GitOps, and infrastructure-as-code.
Hands-on experience with container platforms (Kubernetes, Docker).
Experience scaling DevOps/Platform Engineering across multi-team, multi-product environments.
Experience operating mission-critical production systems.
Strong systems thinking and architectural judgment.
Excellent communication, leadership, and coaching skills.
Proven ability to build relationships and influence stakeholders across multiple business units.
AWS (compute, networking, storage, identity)
Kubernetes, Docker
Terraform
GitLab, ArgoCD
Observability stacks (Datadog, OpenTelemetry, Grafana)
Software development in one or more of Java, Python, Node
Familiarity with Snowflake and modern data pipelines
AI-assisted development tools and emerging agentic frameworks

Responsibilities

Own platform and infrastructure uptime; establish SLOs and reliability governance.
Drive DORA metric improvements.
Standardize incident response and operational maturity.
Ensure secure, compliant, and auditable production operations.
Own production system health and availability with Engineering/Architecture.
Establish a service maturity model (reliability, security, observability, CI/CD, AI-readiness).
Enforce secure coding standards and Quality Gates across all repositories.
Evolve DevOps to a modern, platform-engineered, AI-enabled Developer Experience organization, while maintaining reliability and security accountability.
Shift focus to enabling all contributors (including QA, solution engineering) as builders.
Introduce platform-as-product operating models with roadmaps, feedback, and metrics.
Radically reduce developer/contributor onboarding time.
Improve wayfinding via standards, templates, and conventions.
Standardize repository structure and build/deploy patterns for AI workflows, security, and predictability.
Drive AI adoption across engineering roles.
Design AI-driven capabilities: automated code review, test generation, incident analysis, anomaly detection, and remediation.
Translate emerging agentic tooling into internal capabilities.
Ensure AI and agent-driven workflows operate within secure, monitored, and policy-bound environments.
Embed guardrails to protect proprietary code, customer data, and infrastructure secrets.
Own CI/CD platforms, deployment automation, and infrastructure-as-code standards.
Define and enforce reliability and quality while enforcing container hardening, image provenance validation, and runtime protections.
Standardize on-call models, incident response, escalation, and post-incident learning.
Automate runbooks and operational workflows.
Partner on AWS usage, cloud patterns, cost efficiency, and observability standards.
Own platform reliability, performance, cost governance, and operability templates.