Staff Platform Engineer (CloudOps, DevSecOps, Data Foundations)

Job summary

Planview is seeking a Staff Platform Engineer to drive the future of connected work, focusing on GenAI-First Infrastructure, Data Fabric & Foundations, and Cloud & Infrastructure-as-Code. This role involves leading technical initiatives, mentoring engineers, and shaping platform culture to accelerate organizational achievements.

Qualifications

• 8–12+ years in platform engineering, DevOps, SRE, Cloud, Data Platform, AI/MLOps, or infrastructure roles.
• Deep AWS expertise, including multi-region architectures and cloud-native services.
• Terraform mastery, including design patterns at scale, infrastructure testing, and policy-as-code.
• Ability to architect GitOps, multi-cluster, and deployment pipelines using Kubernetes and CI/CD.
• Experience with BCDR strategies.
• Proficiency in ShiftLeft Mental Model on DevSecOps framework.
• Expertise in observability and resiliency.
• GenAI depth, including experience with GitHub Copilot or Claude Code, built/operated MCP servers, understanding of AI-DLC, and spec-driven development.
• Data lakehouse experience, having designed or operated Snowflake/Delta/Iceberg systems with governance.
• Strong architectural thinking, including defining patterns, conducting threat models, creating ADRs, and evaluating tradeoffs.
• Proven cross-functional influence to align teams around platform decisions.

Responsibilities

• Drive GenAI-First Infrastructure, including AI-DLC control plane for model versioning, prompt governance, cost attribution, and evaluation frameworks.
• Build secure, spec-driven Model Context Protocol servers and governance.
• Develop knowledge and context systems, including context graphs, vector stores, RAG pipelines, and memory systems.
• Orchestrate agents with control planes and human-in-loop workflows (e.g., n8n, LangChain patterns).
• Implement AI observability with cost models, token efficiency, and agent health SLOs.
• Understand Data Fabric & Foundations, including data lakehouse architecture (Snowflake, Delta, Iceberg, LakeFormation).
• Manage data governance, including lineage tracking, cost attribution, and quality gates.
• Implement federated systems for multi-region, multi-cloud data sync and API integration.
• Work with polyglot data systems: Kafka, SQL, NoSQL, graph databases, warehouses, and lakes.
• Expertly manage Cloud & Infrastructure-as-Code, including AWS architecture (EC2, Lambda, RDS, EKS, VPC, VPN) and multi-region strategies.
• Utilize Terraform, CloudFormation, and CDK at scale for reusable, testable, policy-enforced modules.
• Architect Kubernetes for multi-cluster, service-mesh, gateway API/ingress, workload isolation, and cost optimization.
• Design CI/CD using GitHub Actions, ArgoCD, and GitOps for diverse workloads.
• Master observability with Datadog, Grafana, Sumo, OTEL, SLOs, meaningful alerts, and cost tracking.
• Lead technical hiring and team composition decisions.
• Mentor engineers and uplift knowledge density; shape platform culture and advocate for best practices.
• Author architecture decisions (ADRs) to guide future choices.
• Drive platform automation to reduce toil by 20–30%.

Skills

Relocation