Platform engineer in AI data integration

This company builds an AI data-integration and analysis platform for enterprise customers. Their systems automate complex document processing and data retrieval, operating within some of the world's most sensitive financial data environments. Security and compliance aren't just features; they are the core product, a hard problem they solve at scale. They're rapidly growing, backed by significant funding from leading investors, and now scaling the critical infrastructure that underpins it all.

• Architect and operate Kubernetes clusters and Terraform-managed cloud resources.
• Design and implement platform-level CI/CD pipelines using GitHub Actions for backend, frontend, and data services.
• Drive product-wide observability (logging, metrics, tracing) and on-call processes.
• Prepare infrastructure for critical security audits (SOC 2, ISO 27001) and manage cloud costs.
• Build robust guardrails and advanced networking solutions (VPCs, VPNs, firewalls) for secure, rapid product development.

• 4-7 years of platform, infrastructure, or DevOps experience, with a track record of end-to-end ownership in high-growth environments.
• Proven experience designing Terraform modules and platform-level GitHub Actions CI/CD.
• Deep understanding of production observability (logging, metrics, tracing) and advanced networking concepts (VPCs, private networking, DNS, load balancers, VPNs, firewalls).
• Experience provisioning and scaling production databases (PostgreSQL, MySQL, NoSQL) and blob storage, with strong Python or Bash for automation.
• Direct experience with SOC 2, ISO 27001, or GDPR processes, understanding how infrastructure decisions impact audit evidence.

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