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Canoe Intelligence

Director of Engineering – Quality & Reliability

Canoe Intelligence

Director of Engineering building Canoe Intelligence’s SRE and quality organization. Improving reliability, testing, and incident management for alternative-investment data automation.

Posted 9/10/2026full-timeNew York City • New York • 🇺🇸 United StatesLead💰 $200,000 - $230,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in building and leading Site Reliability Engineering and Quality Engineering practices, with a strong focus on incident management, quality strategy, and automation-first testing methodologies. Proficient in defining and reporting quality and reliability metrics to inform engineering priorities and drive organizational excellence.

Highest-signal resume keywords
Site Reliability Engineering LeadershipIncident Management OwnershipQuality Engineering Strategy DevelopmentAutomation-First Testing MethodologiesQuality and Reliability Metrics Reporting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringQuality EngineeringIncident ManagementAutomation TestingSLO DevelopmentCI/CD Pipeline Quality GatesLLMs and Agentic ToolsKPI ReportingRisk-Based Quality StrategyDistributed QA Team Leadership
Soft Skills
LeadershipCommunicationInterpersonal SkillsAdaptabilityProblem-Solving
Tools & Technologies
PythonTypeScriptPHP/LaravelKafkaAWSTerraformPostgreSQLRedisElasticSearchDatadog
Industry Keywords
FintechData IntegrityClient TrustQuality MetricsIncident Trends

Tech Stack

Tools & technologies
AWSElasticSearchKafkaLaravelPHPPostgresPythonRedisTerraformTypeScript

About the role

Key responsibilities & impact
  • 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 the Quality Engineering organization and build lasting in-house quality leadership and expertise
  • Define a risk-based quality strategy, including quality gates in CI/CD pipelines
  • Continue the 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
  • Use quality and reliability KPIs to inform engineering priorities across teams
  • Serve as Technical Governance Owner for testing and incident management topics
  • Partner with architects to bring reliability, testability, and operability perspectives to technical decisions
  • Report to the VP of Application Development as a peer of other engineering guild leads

Requirements

What you’ll need
  • Minimum of 10 years of software engineering experience
  • At least 4 years leading quality, reliability, or platform engineering teams
  • Experience building an SRE, reliability, or quality engineering practice from scratch
  • Experience formally owning incident management for a company or major platform, from incident response through high-quality retrospectives and follow-through
  • 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
  • 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
  • Excellent leadership, communication, and interpersonal skills with geographically distributed teams across multiple time zones
  • Ability to work effectively with ambiguous or missing information and adapt quickly in a startup-like environment
  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)
  • Preferred: hands-on experience with Python, TypeScript, PHP/Laravel, Kafka, AWS, Terraform, PostgreSQL, Redis, ElasticSearch, or Datadog
  • Preferred: fintech or other environments where data integrity and client trust are the product

Benefits

Comp & perks
  • Medical, dental, vision benefits
  • Flexible PTO
  • 401(k)
  • Flexible work from home policy
  • Home office stipend
  • Employee Assistance Program
  • Gym/Wifi reimbursement
  • Education assistance
  • Parental Leave