VP, Engineering
Klass CapitalCanada8 hours ago
Full-timeRemote FriendlyEngineering
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Role: VP, Engineering (Product Platform)
Company: iTmethods, https://www.itmethods.com
Location: GTA (hybrid - approx. 1 day per week)
Reports to: CEO
Type: Full-time / Permanent
Travel: Up to 20%
About ITmethods
iTmethods is a profitable, founder-led company, helping large enterprises run DevOps toolchains and AI workspaces securely in their own clouds. Our iTmethodsONE platform standardizes tools on AWS/Azure with a focus on security, compliance, and AI-native delivery. We partner with leading ISVs and hyperscalers to accelerate productivity and value realization.
iTmethods enables enterprises to excel in their digital transformation journeys through expert professional services and cutting-edge managed platforms. Our offerings include strategic consultation, expert implementation, toolchain integration, and extensive ongoing support options. Our solutions address key challenges in DevOps and AI/ML deployments and ongoing operations, security, and compliance, ensuring maximum return on technology investments.
Opportunity
Join us to shape the future of AI-native enterprise platforms. iTmethods' enterprise platform currently serves 50+ regulated enterprises in multiple industries including Financial Services, Healthcare/Life Sciences, and Semiconductor/Software. The current platform runs in production for most of our large customers today. We're now executing the vision for the next version of our platform - an AI-native, single-tenant evolution that brings governed agent automation, model gateways, evaluation/safety pipelines, and vertical solutions into the same proven operating model.
We're hiring a hands-on Engineering Leader to bridge the vision to reality. The goal is to keep the current product version rock-solid, phase the new AI platform into production without disruption, and make the platform faster, safer, cheaper, and customer-loved. You will lead the entire SDLC, lead the engineering function, own the engineering roadmap, scale a high-impact team, mentor developers and champion best practices in software quality and scalability.
The position will lead:
The company offers team members extensive benefits, including the following:
Company: iTmethods, https://www.itmethods.com
Location: GTA (hybrid - approx. 1 day per week)
Reports to: CEO
Type: Full-time / Permanent
Travel: Up to 20%
About ITmethods
iTmethods is a profitable, founder-led company, helping large enterprises run DevOps toolchains and AI workspaces securely in their own clouds. Our iTmethodsONE platform standardizes tools on AWS/Azure with a focus on security, compliance, and AI-native delivery. We partner with leading ISVs and hyperscalers to accelerate productivity and value realization.
iTmethods enables enterprises to excel in their digital transformation journeys through expert professional services and cutting-edge managed platforms. Our offerings include strategic consultation, expert implementation, toolchain integration, and extensive ongoing support options. Our solutions address key challenges in DevOps and AI/ML deployments and ongoing operations, security, and compliance, ensuring maximum return on technology investments.
Opportunity
Join us to shape the future of AI-native enterprise platforms. iTmethods' enterprise platform currently serves 50+ regulated enterprises in multiple industries including Financial Services, Healthcare/Life Sciences, and Semiconductor/Software. The current platform runs in production for most of our large customers today. We're now executing the vision for the next version of our platform - an AI-native, single-tenant evolution that brings governed agent automation, model gateways, evaluation/safety pipelines, and vertical solutions into the same proven operating model.
We're hiring a hands-on Engineering Leader to bridge the vision to reality. The goal is to keep the current product version rock-solid, phase the new AI platform into production without disruption, and make the platform faster, safer, cheaper, and customer-loved. You will lead the entire SDLC, lead the engineering function, own the engineering roadmap, scale a high-impact team, mentor developers and champion best practices in software quality and scalability.
The position will lead:
- Product Engineering for iTmethodsONE: Platform/IDP, Developer Experience (CDE/golden paths), QA/Release, SRE/Reliability and Operations
- Build & Run the feedback loop: Collapse design intent, delivery, reliability, security, and unit economics into one execution system
- Team & organization structure: Lead, manage, and hire individual contributors and align player-coaches; install single-threaded ownership; remove bloat
- Customer outcomes: Sovereign/air-gapped deployments with audit trails, zero-egress controls, and a per-tenant kill-switch; time-to-value, SLO adherence, and cost discipline
- Operate and evolve the platform: Keep the current platform dependable for enterprise customers while creating improvements (AI-native capabilities, agentic workflows, Model Gateway, Evaluation/Safety) safely and predictably
- Standardize developer experience: Stand up CDEs and paved roads (Backstage/IDP) with policy-as-code and "build once, promote" pipelines; enforce SBOM/SLSA/SCA/DAST by default
- Ship on a cadence: Establish release trains and program increments; manage scope/date/quality trade-offs; maintain 90%+ on-time delivery with executive visibility
- Engineer for reliability: Define tenant-level SLOs, wire observability (Prometheus/Grafana/Datadog), and drive MTTR down via runbooks, previews, and progressive delivery
- Make AI pragmatic: Integrate AI-assisted developer workflows and agentic automations where they create measurable leverage; measure outcomes vs. hype.
- Own cost behavior: Embed FinOps (GPU/AI quotas, cost per env/pipeline) and deliver unit-cost reduction without trading off reliability
- Collaborate: Shape epics and value metrics with Product, Security, Operations, Support and Customer Success teams.
- Customer-obsessed: start with the customer workload, not internal convenience
- Intensely curious: ask why until the physics of the system are clear
- Bias for action: short cycles, small batches, working software over slideware
- Constant learning: harvest wins into the platform; deprecate what doesn't work
- Ownership: own the loop - quality, reliability, cost, and customer outcomes
- A minimum of 10+ years of experience leading product/platform engineering teams for enterprise software (B2B); you've shipped and run mission-critical systems at scale
- Depth of knowledge, background and experience in SRE/SLOs, CI/CD, secure SDLC/DevSecOps, and distributed teams
- You have experience leading engineering and development teams. You are a player-coach. You have experience setting standards, reviewing designs/PRs, and rolling up your sleeves to unblock
- You are a hands-on leader who has experience working in a fast paced start-up or scale up environment
- Experience scaling from zero-to-one and one-to-many products/platforms - developing a platform and industrializing it
- Familiarity with regulated enterprise environments
- Proficient in cloud-first environments, serverless, microservices, containers (Docker) and modern development toolchains (Git, GitLab, GitHub, Jenkins, JFrog, SonarQube)
- Experience with Python and React is a strong asset
- Strong record of designing, building and integrating REST APIs
- Skilled in leading end-to-end SDLC, including sprint/release planning
- Demonstrated architecture/design leadership and operational troubleshooting in production environments
- Passion for technical leadership, mentoring, and leveraging AI-assisted development
- You have strong communication skills
- Bachelor's in Computer Science/Engineering, or equivalent experience
- Infrastructure: AWS/Azure, Kubernetes (EKS/AKS), Terraform, GitOps, CI/CD (GitHub/GitLab/Jenkins)
- Developer Tools: Backstage/IDP, policy-as-code; Coder for CDEs
- Security: Supply-chain security (SBOM/SLSA); ISVs include SonarQube, GitLab, Atlassian
- Observability: Prometheus/Grafana/Datadog; incident & release practices
- AI/ML: AI-assisted dev tools; model gateways; agentic workflow frameworks
- Deployments: Regulated industries; single-tenant / air-gapped / zero-egress
The company offers team members extensive benefits, including the following:
- Competitive annual base salary plus an annual performance bonus
- Extended health/dental benefits plan
- Learning budget for professional development
- Flexible/Hybrid work model
Key Skills
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