We are looking for a resource to support our cloud engineering team. This is enterprise-scale platform work, not single-application DevOps: the client distinguishes clearly between an engineer who builds infrastructure for one application team, and one who builds a platform or self-service system that hundreds of applications and many different teams can consume. Candidates need genuine experience with the latter.

Role Overview

We are looking for a resource to support our cloud engineering team. This is enterprise-scale platform work, not single-application DevOps: the client distinguishes clearly between an engineer who builds infrastructure for one application team, and one who builds a platform or self-service system that hundreds of applications and many different teams can consume. Candidates need genuine experience with the latter.

Key Responsibilities

- Design, build, and maintain enterprise cloud infrastructure and CI/CD pipelines using Terraform and GitHub Actions
- Build reusable, self-service platform capabilities consumable by many application teams — not point solutions for a single team
- Own the full lifecycle of cloud services: observability, security vulnerability management, and RBAC (role-based access control)
- Participate in full SDLC activities, including requirement gathering and enterprise architecture discussions with client stakeholders
- Maintain thorough documentation, planning artifacts, and detailed ticket updates for client visibility
- Operate within the client's enterprise governance, security, and change-management frameworks as a platform contributor — not just an infrastructure builder

Core Technical Skills





- Terraform — hands-on Infrastructure-as-Code experience (top priority)
- GitHub / GitHub Actions — CI/CD pipeline design and management
- Microsoft Azure as primary cloud platform; GCP or AWS experience is a plus but not required
- Python, used alongside Terraform for automation and scripting where IaC alone isn't sufficient
- YAML for CI/CD pipeline configuration
- SQL / PostgreSQL and Azure App Service (service-level cloud skills)
- Kubernetes / containerization working knowledge (deep expertise required for at least one team hire — see Preferred below)

Enterprise Cloud Engineering Competencies (Required)

- True enterprise-scale delivery experience: shared, self-service platforms consumed by many independent application teams, not single-application deployments
- Enterprise governance and landing-zone experience: multi-subscription/multi-account structuring, policy-as-code, and consistent tagging/naming standards enforced at scale
- Identity and access management at scale: Azure AD/Entra ID, RBAC and least-privilege design, service principal / managed identity governance
- Enterprise network architecture: hub-spoke topology, VNet peering, private endpoints, network segmentation
- Security posture and compliance for regulated industries: vulnerability management, threat modeling,



audit readiness, and comfort with the change-control standards banks impose on vendors
- Observability at scale: centralized logging, monitoring, and alerting (Azure Monitor/Log Analytics or equivalent), operating to SLA/SLO expectations
- Cost governance / FinOps awareness across many consuming teams
- Comfortable operating within formal change-management/ITSM processes (CAB approvals, detailed ticketing discipline)
- Resilience and disaster-recovery planning — designing for high availability, since platform outages affect many downstream teams
- Architecture-level thinking for platform-level (vs. service-level) engagements — the client considers this non-negotiable at platform scale
- Full SDLC fluency, including requirement gathering and enterprise architecture discussions with client stakeholders
- Solid written communication: detailed documentation, planning in Excel, and thorough ticket-level updates — enterprise clients expect constant visibility into status
- Able to explain technical approach and reasoning in depth; this work is reviewed closely by the client's own in-house architects
- Kubernetes / containerization expertise at depth (needed for at least one of the team's hires)
- Formal cloud platform experience beyond working knowledge (Azure, GCP, or AWS), e.g., Infrastructure-as-Code / Terraform exposure

Preferred / Nice to Have

- Prior banking or financial-services experience
- Lead-level experience: TL/Architect-level capability plus current hands-on delivery, with proven ability to manage 2–3 engineers

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📌 Senior Cloud Engineer (Toronto)
🏢 KData AI
📍 Toronto