Hiring: Director of Engineering - Quality & Reliability Company: Canoe Intelligence Location: New York, NY Job Posted Time: 2026-09-11 11:55:29 Employment Type: Hybrid Target Skills & Keywords : AWS, CI/CD, Datadog, Elasticsearch, Kafka, LLM, Laravel, PHP, PostgreSQL, Python, Redis, Terraform, TypeScript About the job Experience: •Applied hands-on capability in our core technologies or similar stacks: Python, TypeScript, PHP/Laravel, Kafka, AWS, Terraform, PostgreSQL, Redis, ElasticSearch, Datadog. •Fintech or other environments where data integrity and client trust are the product. •Flexible work from home policy Required Skills: •Build Canoe's Site Reliability Engineering practice from the ground up, including SLOs and error budgets on critical services, observability and alerting standards, production readiness reviews, and on-call design. •Own incident management across Canoe end to end, including process, tooling, escalation paths, retrospective quality, and follow-through on corrective actions. •Lead our Quality Engineering organization and build lasting in-house quality leadership and expertise. •Define a risk-based quality strategy, including quality gates in our CI/CD pipelines, and continue our shift from manual verification toward automation-first, AI-assisted testing and specification-driven development. •Define and report executive-level KPIs for quality and reliability, such as escape rates, incident trends, and error-budget consumption, and use them to inform engineering priorities across teams. •Serve as Technical Governance Owner for our testing and incident management topics, bringing a reliability, testability, and operability perspective to technical decisions in partnership with our architects. •Deep quality engineering background, including ownership of quality strategy and experience leading distributed or offshore QA teams. •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. Compensation: •$200,000 - $230,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!