Overview:
Planview has one mission: to build the future of connected work, from ideas to impact.
As the global leader in work and resource management, Planview helps organizations accelerate the achievement of what matters most, supporting our customers from need to speed, from passion to progress, and from overhead to optimization. We provide the industry’s most comprehensive solutions designed for strategic planning, portfolio and resource management, Lean and Agile delivery, product portfolio management, capability, and technology management (enterprise architecture), innovation management, and collaborative work and project management. Our connected platform of solutions underpins the business and digital transformations of more than 4,500 customers globally, including 59 of the Fortune 100.
At Planview, our people connections drive our innovation and success. Our global team of 1400+ work remotely and across our offices including Austin, Vancouver, Hod Hasharon, Bangalore, Sydney, and Stockholm. We’re proud of our world-class, connected culture built on our shared values, that supports our teams to be successful from anywhere.
Learn more about our portfolio at planview.com, and connect with us on LinkedIn, Instagram, and X.
#LI-CG1 #LI-Hybrid
Responsibilities:
What You'll Drive as a key technical leader:
GenAI-First Infrastructure (Non-Negotiable)AI-DLC control plane: model versioning, prompt governance, cost attribution, evaluation frameworks
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MCP ecosystems: build secure, spec-driven Model Context Protocol servers and governance
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Knowledge & context systems: context graphs, vector stores, RAG pipelines, memory systems
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Agent orchestration: control planes, human-in-loop workflows (n8n, LangChain patterns)
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AI observability: cost models, token efficiency, agent health SLOs
Data Fabric & Foundations (Decent understanding)
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Data lakehouse architecture (Snowflake, Delta, Iceberg, LakeFormation etc)
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Data governance: lineage tracking, cost attribution, quality gates across consumers
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Federated systems: multi-region, multi-cloud data sync and API integration
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Polyglot comfort: Kafka, SQL, NoSQL, graph databases, warehouses, and lake
Cloud & Infrastructure-as-Code (Core Requirement, Expert)
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AWS architecture (EC2, Lambda, RDS, EKS, VPC, VPN) and multi-region strategies
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Terraform, CloudFormation, CDK at scale: reusable, Ansible, testable, policy-enforced modules
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Kubernetes architecture: multi-cluster, service-mesh, gateway api/ingress, workload isolation, cost optimization
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CI/CD design: GitHub Actions, ArgoCD, GitOps for diverse workloads
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Observability mastery: Datadog, Grafana, Sumo, OTEL, SLOs, meaningful alerts, cost tracking
Mentorship & Strategy
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Lead technical hiring and team composition decisions
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Mentor engineers on the team and help uplift the knowledge density; shape platform culture and developer advocacy on best practices
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Author architecture decisions (ADRs) that guide future choices
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Drive platform automation to reduce toil 20–30%
Qualifications:
What We're Looking For:
Required
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8–12+ years in platform engineering, DevOps, SRE, Cloud, Data Platform, AI/MLOps, or infrastructure roles
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Deep AWS expertise: multi-region architectures, cloud-native services
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Terraform mastery: design patterns at scale, infrastructure testing, policy-as-code
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Kubernetes & CI/CD: can architect GitOps, multi-cluster, deployment pipelines
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BCDR strategies
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ShiftLeft Mental Model on DevSecOps framework
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Observability and Resiliency
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GenAI depth (non-negotiable): GitHub Copilot or Claude Code or similar tools, built/operated MCP servers, understand AI-DLC, spec-driven development
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Data lakehouse experience: designed or operated Snowflake/Delta/Iceberg systems with governance
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Architectural thinking: define patterns, conduct threat models, create ADRs, think in tradeoffs
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Cross-functional influence: proven ability to align teams around platform decisions
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Expected Salary: 150,000 -175,000 CAD
Nice-to-Have
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Multi-cloud experience (Azure, GCP)
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Palantir Foundry, Timbr.AI, Databricks, or enterprise data platforms
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Neo4j, AWS Neptune, or federated knowledge graphs
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FinOps and cost optimization depth
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Snyk, Mend, JFrog, Rapid7, Step, Sweet, Axonious etc security tooling
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Kafka, event-driven architectures, stream processing, data pipelines
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Bedrock/Claude/Codex API hands-on experience
