Site Reliability Engineer — Observability Platform

Devopsroles; United States; Remote; USD 85,000 - 193,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Parental leave and back-up childcare

Adoption and surrogacy support

Vehicle discount program

Tuition assistance

Paid time off and holidays

Job summary

Ford is hiring an experienced Site Reliability Engineer to architect, extend, and scale our global observability platform. You will design scalable pipelines, define SLIs/SLOs, and build infrastructure-as-code templates to standardize instrumentation across hybrid environments.

Join a team focused on reliability, performance, and continuous innovation. The role requires strong distributed systems design, automation, and production operations expertise, with hands-on work in cloud platforms

Qualifications

• Bachelor’s degree in CS or equivalent.
• At least 3+ years in an SRE role.
• 5+ years programming in Python/Go/Java/Scala/C/C++.
• 3+ years IaC templates in Terraform/ToFu.
• 3+ years with APM/monitoring tools (Dynatrace, New Relic, ELK, Splunk, Prometheus, DataDog).
• 3+ years with Java/J2EE, Spring Boot, NoSQL/SQL databases, cloud (GCP/AWS/Azure), and Docker/Kubernetes.
• Experience with REST APIs and microservices.
• CI/CD automation and SDLC practices.
• Strong observability and MTTR/MTTD focus.
• Understanding of networking basics (TCP/IP).

Responsibilities

• Design scalable observability pipelines across metrics, logging, tracing, and alerting.
• Define SLIs/SLOs and error budgets to maximize availability.
• Build IaC templates to standardize instrumentation.
• Develop automation to improve resilience and scalability of apps.
• Perform safe destructive testing to reveal vulnerabilities.
• Create tooling to improve reliability and time-to-market.
• Reduce toil via automation to focus on engineering and innovation.
• Collaborate with development teams on scalable systems.
• Identify stability risks and mitigation plans.
• Monitor key metrics like errors, latency, capacity, and resource utilization.
• Analyze performance of new and production systems to drive improvements.
• Troubleshoot distributed systems and lead root-cause analyses.
• Participate in incident response and postmortems.
• Mentor team members and share knowledge.
• Evaluate AI/ML capabilities for anomaly detection and insights.
• Embed observability best practices into system design and deployment workflows.

Education

Bachelor’s Degree in Computer Science or equivalent

Tools

Python

Go

Java/Scala

C

C++

Terraform

ToFu

Dynatrace

New Relic

ELK

Splunk

Prometheus

Sensu

Nagios

Kafka

DataDog

J2EE

NoSQL/SQL Databases

Spring Boot

GCP

AWS

Azure

Docker

Kubernetes

RESTful APIs

CI/CD

Job description

Ford is hiring an experienced Site Reliability Engineer to architect, extend, and scale our global observability platform. You will design scalable pipelines, define SLIs/SLOs, and build infrastructure-as-code templates to standardize instrumentation across hybrid environments.

Join a team focused on reliability, performance, and continuous innovation. The role requires strong distributed systems design, automation, and production operations expertise, with hands-on work in cloud platforms