Staff Platform Engineer (CloudOps, DevSecOps, Data Foundations)

Company 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, 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+ works remotely and across offices including Austin, Vancouver, Hod Hasharon, Bangalore, Sydney, and Stockholm. We’re proud of our world‑class, connected culture built on shared values, that supports our teams to be successful from anywhere.

Opportunity

Own platform subsystems and cross‑collaborate with many teams across the organization. Not a senior engineer with a bigger title. You architect and define strategy for AI‑first infrastructure, data foundations, and agent orchestration. You design patterns, influence across teams, and drive platform evolution, not just execute projects or write IaC.

Your work directly impacts 150+ developers and 50+ autonomous agents operating at scale, safety, and cost.

What You’ll Do

• AI‑DLC control plane: model versioning, prompt governance, cost attribution, evaluation frameworks
• MCP ecosystems: build secure, spec‑driven Model Context Protocol servers and governance
• Knowledge & context systems: context graphs, vector stores, RAG pipelines, memory systems
• Agent orchestration: control planes, human‑in‑loop workflows (n8n, LangChain patterns)
• AI observability: cost models, token efficiency, agent health SLOs

• Data lakehouse architecture (Snowflake, Delta, Iceberg, LakeFormation etc)
• Data governance: lineage tracking, cost attribution, quality gates across consumers
• Federated systems: multi‑region, multi‑cloud data sync and API integration
• Polyglot comfort: Kafka, SQL, NoSQL, graph databases, warehouses, and lake

• AWS architecture (EC2, Lambda, RDS, EKS, VPC, VPN) and multi‑region strategies
• Terraform, CloudFormation, CDK at scale: reusable, Ansible, testable, policy‑enforced modules
• Kubernetes architecture: multi‑cluster, service‑mesh, gateway api/ingress, workload isolation, cost optimization
• CI/CD design: GitHub Actions, ArgoCD, GitOps for diverse workloads
• Observability mastery: Datadog, Grafana, Sumo, OTEL, SLOs, meaningful alerts, cost tracking

• Lead technical hiring and team composition decisions
• Mentor engineers and help uplift knowledge density; shape platform culture and developer advocacy on best practices
• Author architecture decisions (ADRs) that guide future choices
• Drive platform automation to reduce toil 20–30%

What You’ll Bring

• 8–12+ years in platform engineering, DevOps, SRE, Cloud, Data Platform, AI/MLOps, or infrastructure roles
• Deep AWS expertise: multi‑region architectures, cloud‑native services
• Terraform mastery: design patterns at scale, infrastructure testing, policy‑as‑code
• Kubernetes & CI/CD: can architect GitOps, multi‑cluster, deployment pipelines
• BCDR strategies
• ShiftLeft Mental Model on DevSecOps framework
• Observability and Resiliency
• GenAI depth (non‑negotiable): GitHub Copilot or Claude Code or similar tools, built/operated MCP servers, understand AI‑DLC, spec‑driven development
• Data lakehouse experience: designed or operated Snowflake/Delta/Iceberg systems with governance
• Architectural thinking: define patterns, conduct threat models, create ADRs, think in tradeoffs
• Cross‑functional influence: proven ability to align teams around platform decisions
• Expected Salary: 150,000 -175,000 CAD

• Multi‑cloud experience (Azure, GCP)
• Palantir Foundry, Timbr.AI, Databricks, or enterprise data platforms
• Neo4j, AWS Neptune, or federated knowledge graphs
• FinOps and cost optimization depth
• Snyk, Mend, JFrog, Rapid7, Step, Sweet, Axonious etc security tooling
• Kafka, event‑driven architectures, stream processing, data pipelines
• Bedrock/Claude/Codex API hands‑on experience

Benefits At Planview

• Unplugged Days: 4 company‑wide paid days off per year to recharge and relax.
• Generous PTO offerings (region dependent).
• Region‑specific competitive benefit plans to support you at any life stage including parental leave, retirement, medical plans, wellness support, and remote work support.
• Paid time to volunteer through Planview’s Force for Good Week.
• Employee Referral bonus program.
• Weekly office lunches for hybrid team members and social events.
• Flexible work hours/environment.

Diversity, Equity and Inclusion at Planview

As part of our efforts to build a workforce with diverse talent, we encourage applications from Indigenous, Black, and other racialized communities, 2SLGBTQIA+ communities, people with neurodivergence, immigrants, people with disabilities, and other equity‑deserving groups. In addition to building a diverse workforce, we are committed to fostering an inclusive and accessible experience. Reasonable accommodations for the interview process can be requested by emailing View email address on ca.talent.com.