Senior Platform Engineer / SRE

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IaC architecture — Terraform module design, state management, multi-account patterns, and setting the standards the rest of the team builds against
Drive GitOps at scale — ArgoCD configuration, progressive delivery patterns, promotion workflows, and deployment reliability across multiple environments and tenants
Architect and operate multi-tenant Kubernetes infrastructure on AWS EKS — tenant isolation, workload placement, cluster topology, and long-term scalability strategy
Build self-service infrastructure automation — provisioning pipelines, configuration management, and platform capabilities that engineering teams can consume without manual intervention
Agentic coding tools for infrastructure work — scaffolding new environments, generating and reviewing IaC, accelerating automation, and establishing patterns for the team
Own reliability — SLO definitions, error budgets, incident response quality, and the feedback loop that turns incidents into platform improvements
Set observability standards — trace coverage, alert quality, on-call ergonomics, and runbook culture
Partner with security on zero-trust architecture, secrets management at scale, and infrastructure hardening
Contribute to technical roadmap and help the team prioritize the right work
Mentor mid-level engineers — code review, design feedback, on-call shadowing

6+ years in platform engineering, SRE, or infrastructure — with meaningful time operating production systems at scale
Deep IaC expertise — you design Terraform architectures, not just write modules; you've managed complex state and multi-account configurations in production
Strong GitOps background — you understand declarative infrastructure management at depth and have opinions on how to do it well
Deep Kubernetes knowledge — you've operated clusters in production, dealt with real failure modes, and understand the system at the control plane level
Strong AWS background — networking, compute, IAM, storage, multi-account design
Experience with multi-tenant infrastructure — isolation patterns, noisy neighbor mitigation, and tenant lifecycle management
Automation-first thinking at a senior level — you design systems that eliminate entire categories of manual work, not just individual tasks
Active user of agentic coding tools — you know how to direct them effectively, review their output critically, and use them to multiply your output
Reliability engineering track record — SLOs defined and measured, post-mortems run, measurable improvements driven
Strong communicator — you can make architectural decisions legible to engineers and leadership alike

Experience with Karpenter and node lifecycle management in production
Background in FinOps — cost attribution, reserved capacity planning, workload right-sizing
Familiarity with data infrastructure — object storage, CDC pipelines, or lakehouse patterns
Experience supporting AI/ML inference workloads or GPU-based compute in production
Prior experience scaling platform infrastructure at a startup moving toward enterprise-grade requirements

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