Technical Product Owner, Platform Delivery

Tecsys Inc.•Montreal, QC

1d•Remote

About The Position

Tecsys is a fast-growing innovator offering supply chain solutions to industry leading healthcare systems, hospitals, and pharmacy businesses to distributors, retailers, and 3PLs. We work with industry leaders to transform their supply chains through technology. As Technical Product Owner for Platform Delivery at Tecsys, you'll translate platform strategy into a prioritized execution plan for deployment automation, identity infrastructure, and orchestration - breaking down broad goals into what the team actually builds, making the sequencing and tradeoff calls that determine whether releases land smoothly or don't. You'll work alongside a focused engineering team covering deployment automation, identity, and third-party platform components.

Requirements

7+ yrs experience as a Product Owner/Manager in SaaS, enterprise software, or infrastructure platforms.
Deep familiarity with DevOps environments and tooling: Kubernetes/Helm, GitOps, AWS or Azure, Terraform or other IaC tools, Scripting (Bash, Python, etc.), CI/CD (e.g., GitLab-CI)
Strong English communication skills (written and spoken) and stakeholder management ability, essential for working across teams and with partners beyond Quebec.
Ability to translate technical and regulatory needs into business outcomes.
Familiarity with compliance frameworks (SOC2, FedRAMp, FIPS) or regulated deployment environments.
Must be a Canadian Citizen or a Permanent Resident of Canada, OR, have a valid Canadian work permit.

Nice To Haves

Identity & Access Management (Keycloak, Cognito, Okta; OAuth2, OIDC, SAML)
Exposure to service mesh, serverless, or secrets management
Experience with observability, metrics, monitoring, and platform health

Responsibilities

Own and prioritize the backlog for platform automation, deployment, compliance, and scalability.
Translate business, security, and regulatory needs into clear epics, user stories, and acceptance criteria.
Experience using AI tools to accelerate product workflows (requirements drafting, analysis, documentation, backlog refinement), including running structured, spec-driven flows that bring AI assistance into collaborative SDLC practices across engineering, QA, and product.
Partner with engineering teams to automate build, packaging, and deployment workflows, reduce deployment cycle time and increase release confidence through CI/CD improvements, introduce orchestration best practices for zero-downtime deployments, remove manual processes and increase end-to-end automation, and ensure smooth upgrades across customer environments through deployment playbooks, chart versioning, and environment-specific sequencing.
Own the product lifecycle for third-party platform components (BI tooling, integration engines, etc.), including containerization, version upgrades, and configuration management.
Align deployment and automation initiatives with business goals while meeting compliance and certification requirements (FedRAMp, SOC2).
Track KPIs such as deployment speed, reliability, adoption, and developer experience.
Support architecture and security teams with design validation and risk assessments.
Document requirements, decisions, and solution overviews clearly.
Facilitate cross-team discussions to align scope, dependencies, and timelines.