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Director of Engineering (Quality & Reliability)

Canoe

Skills

Required

  • SRE
  • software engineering
  • flake rate
  • MTTD / MTTR
  • SLO attainment
  • LLMs
  • agentic tools
  • Claude
  • Code
  • AI

Preferred

  • Python
  • TypeScript
  • PHP / Laravel
  • Kafka
  • AWS
  • Terraform
  • PostgreSQL
  • Redis
  • ElasticSearch
  • Datadog

Join Canoe, a leading fintech company, as the Director of Engineering (Quality & Reliability). In this role, you will build and lead our Quality and Reliability organization, ensuring the software we ship is reliable, performant, and trustworthy. You will have the opportunity to establish a new Site Reliability Engineering function, take ownership of incident management, and lead a talented quality organization. This position offers a hybrid or fully remote work schedule, competitive benefits, and opportunities for professional development.

About Canoe

Fintech or other environments where data integrity and client trust are the product

Responsibilities

  • Construire et diriger l'organisation de la qualité et de la fiabilité de l'entreprise, y compris la mise en place de pratiques de développement axées sur l'IA.
  • Assumer la responsabilité de la gestion des incidents à l'échelle de l'entreprise, y compris le processus, les outils, les voies d'escalade et la qualité des rétrospectives.
  • Définir une stratégie de qualité basée sur les risques, y compris les portes de qualité dans nos pipelines CI/CD, et continuer notre transition vers une vérification automatisée.

Requirements

  • Ability to work effectively with ambiguous or missing information and adapt quickly in a startup-like environment
  • Deep quality engineering background, including ownership of quality strategy and experience leading distributed or offshore QA teams
  • Experience building an SRE, reliability, or quality engineering practice from scratch, rather than inheriting a mature one
  • Minimum of 10 years of software engineering experience, including 4 years leading quality, reliability, or platform engineering teams
  • Fluency with quality and reliability metrics such as escape rate, flake rate, MTTD/MTTR, and SLO attainment, including experience reporting them at the executive level
  • Demonstrated expertise applying LLMs and agentic tools such as Claude Code to real engineering workflows, with a concrete point of view on how AI reshapes testing and verification
  • Excellent leadership, communication, and interpersonal skills with geographically distributed teams across multiple time zones
  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)
  • Experience formally owning incident management for a company or major platform, from incident response through high-quality retrospectives and follow-through

Preferred

  • Hands-on experience with our core technologies or similar stacks: Python, TypeScript, PHP/Laravel, Kafka, AWS, Terraform, PostgreSQL, Redis, ElasticSearch, Datadog

Pay

USD 200,000 - 230,000