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Ford Motor Company

Senior Site Reliability Engineer

Ford Motor Company Palo Alto, California, United States · $150K–$284K/yr

Motor Vehicle Manufacturing · 10,001+ employees

3 h ago
sre Senior (5-10 yrs) Full-time United States
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About the role

You will design, build, and operate messaging middleware platforms, data management tooling, and observability infrastructure for Kubernetes environments. Additionally, you will contribute to application development efforts and support mission-critical services to ensure high reliability and performance.

What they look for

Kubernetes EKS GCP AWS Kafka Pub/Sub OpenTelemetry Prometheus Grafana Terraform CI/CD ArgoCD Middleware Observability Data replication Cloud-native services

Requirements

Candidates must have a bachelor's degree in a related field and at least 5 years of experience in cloud-based software development and production support. Strong expertise in messaging technologies, observability tools, and infrastructure as code is required for this role.

Benefits

Medical coverage Dental coverage Vision coverage Prescription drug coverage Flexible family care days Paid parental leave New parent ramp-up programs Subsidized back-up child care Adoption and surrogacy expense reimbursement Fertility treatments Vehicle discount program Tuition assistance Employee resource groups Paid time off for community service Paid holidays Vacation time

Full description

In this position...

We are seeking a highly skilled Senior Software Engineer to join our Messaging & Observability team, responsible for the mission-critical middleware and tooling that every engineering team at Ford relies on. You will design, build, and operate the messaging middleware platform, data management and replication tooling, and observability infrastructure that gives visibility into services running across our Kubernetes (EKS) environments — while also contributing to and supporting application development efforts as needed. You will balance strong data-driven decision-making with the ability to move forward effectively when information is incomplete.

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