Wizdaa
Senior Platform Engineer / SRE
Remote Platform Engineering role with clear candidate location fit.
PostedJun 19, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
USA
Role overview
Senior Platform Engineer / SRE
Requirements and responsibilities
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WHAT YOU'LL WORK ON
- 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
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 haves
- 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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