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Senior Platform Engineer / SRE

Roles & Responsibilities

  • 6+ years in platform engineering, SRE, or infrastructure with production systems at scale.
  • Deep IaC expertise: design Terraform architectures, manage complex state and multi-account configurations in production.
  • Strong GitOps background with declarative infrastructure management and scalable delivery workflows.
  • Deep Kubernetes knowledge with production operation experience on AWS EKS.

Requirements:

  • Lead IaC architecture, including Terraform module design, state management, multi-account patterns, and setting engineering standards.
  • Drive GitOps at scale with ArgoCD, progressive delivery patterns, and robust deployment workflows across environments and tenants.
  • Architect and operate multi-tenant Kubernetes infrastructure on AWS EKS, including tenant isolation and scalable cluster topology.
  • Build self-service infrastructure automation and provisioning pipelines to enable engineers to consume platform capabilities with minimal manual intervention.

Job description

THE ROLE

We're looking for a Senior Platform Engineer / SRE who can lead complex infrastructure work, drive IaC and GitOps architecture, and set the standard for how we automate and operate systems at scale. You'll tackle hard problems — multi-tenant isolation, self-service infrastructure, reliability engineering — and have the scope to solve them properly.

This is not a ticket-processing role. Seniors here identify problems before they're asked, make architectural calls, mentor engineers, and raise the ceiling on what the platform can do.

WHAT YOU'LL WORK ON

• Lead 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

• Lead the use of 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

WHAT WE'RE LOOKING FOR

• 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

NICE TO HAVE

• 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

WHAT YOU WON'T FIND HERE

A platform team that maintains the status quo. We're actively building — new scale requirements, new architectural domains, new automation capabilities. Senior engineers here shape how the platform evolves, and the tools available to do it are better than they've ever been.

Type: Full-Time, remote

Work hours aligned with EST or PST

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