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ComPsych

Senior Engineering Manager

ComPsych

. Build and grow a strong engineering organization across multiple teams .

Posted 9/15/2026full-timeRemote • CanadaSenior💰 CA$300,000 - CA$375,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in leading engineering teams through organizational scaling, with a focus on AI-driven practices and production engineering. Capable of establishing accountability, mentoring managers, and ensuring operational excellence across multiple teams.

Highest-signal resume keywords
Leadership In Engineering ManagementProduction Engineering OwnershipAI-First Engineering PracticesTechnical Depth In Java, Python, C#Experience With PHI/HIPAA Compliance

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Technical Depth Across Multiple DomainsDesign Review EngagementAPI Contract ChallengeFailure Mode ReasoningTesting Strategy DevelopmentMetrics Analysis (Cycle Time, MTTR)Threat ModelingSensitive-Data HandlingSecurity RemediationDelegation And Verification Practices
Soft Skills
Coaching And MentoringPerformance ManagementDifficult Conversation HandlingAccountability EstablishmentCross-Team Collaboration
Tools & Technologies
AWSAzureAI AgentsObservability ToolsIncident Response Systems
Industry Keywords
AI-Driven EngineeringPrivacy-Sensitive SystemsRegulated EnvironmentsSLOsOn-Call Management

Tech Stack

Tools & technologies
AWSAzureJavaPython

About the role

Key responsibilities & impact
  • Build and grow a strong engineering organization across multiple teams
  • Create clarity, accountability, and growth for teams, managers, and leads
  • Establish a credible cross-team delivery system with visible priorities, ownership, dependencies, and capacity
  • Resolve tradeoffs that cannot be made by a single team
  • Partner with Product and Design leadership on domain-level outcomes and execution
  • Participate in discovery, translate business priorities into executable cross-team plans, and negotiate scope
  • Hold the engineering bar across the organization through appropriate technical review depth and repeatable standards
  • Own production health, ensuring teams can operate what they ship and respond effectively to failures
  • Use delivery, quality, and reliability signals to identify interventions and address structural causes
  • Define delegation, verification, and review practices for AI-assisted engineering
  • Evolve hiring and leveling criteria for AI-native skills
  • Mentor managers as they adapt their teams to AI-driven engineering

Requirements

What you’ll need
  • Experience leading engineers and managers through organizational scaling across more than one team
  • Experience setting expectations, coaching people at different levels, managing performance, supporting career growth and promotions, and handling difficult conversations
  • Technical depth across more than one technical domain
  • Ability to engage in design reviews for Java, Python, C#, or similar systems
  • Ability to challenge API contracts and data models
  • Ability to reason about failure modes and testing strategy
  • Experience owning production engineering across multiple teams running on AWS or Azure
  • Accountability for observability, SLOs, on-call, incident response, and postmortem follow-through
  • Experience leading secure, privacy-sensitive systems
  • Ability to challenge authentication and authorization decisions
  • Experience with threat modeling, sensitive-data handling, and security remediation
  • Experience with PHI/HIPAA or comparable regulated environments preferred
  • Experience using delivery, quality, reliability, and team-health signals at the organizational level
  • Experience with metrics such as cycle time, deployment frequency, change failure rate, escaped defects, MTTR, or operational load
  • Experience creating teams and managers that operate independently beyond one team
  • Experience leading AI-first engineering in practice
  • Experience directing AI agents on real work and establishing delegation and verification practices
  • Bonus: experience managing other engineering managers, leading an AI-native transition, or shaping hiring and leveling criteria at the organizational level

Benefits

Comp & perks
  • Full benefits package
  • Paid Time Off (PTO)
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k) with match
  • Robust EAP
  • Wellness program