Staff Platform Engineer (CloudOps, DevSecOps, Data Foundations)

The Opportunity About the Role 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 GenAI-First Infrastructure (Non-Negotiable)
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 Fabric & Foundations (Decent understanding)
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
Cloud & Infrastructure-as-Code (Core Requirement, Expert)
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
Mentorship & Strategy
Lead technical hiring and team composition decisions
Mentor engineers on the team and help uplift the 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 Required
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
Nice-to-Have
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
#J-18808-Ljbffr