Site Reliability Engineer - Observability Platform

Ford Motor Company • United States,

15h • $85,400 - $192,900 • Remote

About The Position

The Observability Platform Team designs, builds, and operates the monitoring and observability infrastructure that underpins visibility into application performance across hybrid environments—on-prem and cloud. Our platform integrates AI-driven analytics with intuitive dashboards to give engineering teams the telemetry, metrics, logs, and traces they need to detect issues faster, reduce MTTR, and drive continuous performance optimization. We're hiring an experienced Site Reliability Engineer to architect, extend, and scale our global observability platform. This role sits at the intersection of software and systems engineering, requiring strong skills in distributed systems design, infrastructure automation, and production operations to ensure high availability, scalability, and maintainability of our monitoring stack.

Requirements

• Bachelor’s Degree in Computer Science or equivalent experience
• 3+ years of experience in an SRE role
• 5+ years of programming experience with one or more of: Python, Go, Java/Scala, C, or C++
• 3+ years of experience building reusable infrastructure-as-code templates & frameworks in Terraform or ToFu
• 3+ years of experience with APM and monitoring tools such as Dynatrace, New Relic, ELK, Splunk, Prometheus, Sensu, Nagios, Kafka, or DataDog
• 3+ years of experience with J2EE, NoSQL/SQL datastores, Spring Boot, GCP/AWS/Azure, and Docker/Kubernetes in developing multi-tier applications
• Experience with RESTful APIs and microservices platforms
• Working knowledge of the TCP/IP stack, internet routing, and load balancing
• Strong proficiency with Google Cloud Platform and its library of services
• Experience with automated, test-driven development in CI/CD pipelines
• Thorough understanding of software development and agile methodologies
• Understanding of, and ability to implement, effective observability strategies to improve MTTD/MTTR (Mean Time to Detect/Resolve)

Responsibilities

• Design and implement scalable observability pipelines spanning metrics, logging, tracing, and alerting
• Define and operationalize Service Level Indicators (SLIs) and Service Level Objectives (SLOs), and establish error budgets to effectively drive maximum availability and uptime
• Build reusable infrastructure-as-code templates and frameworks to standardize observability instrumentation and onboarding
• Architect, design, and develop automation to improve the resilience, recoverability, availability, and scalability of supported applications
• Leverage experience to safely perform destructive testing to seek and discover vulnerabilities
• Develop tooling to improve reliability, quality, and time-to-market for software solutions
• Identify and reduce or eliminate toil via automation to maximize time spent on engineering and innovation
• Collaborate with development teams to design, build, and operate scalable and resilient software systems using cloud-native principles
• Proactively identify stability risks and work with engineering leadership to establish appropriate mitigation plans
• Regularly review key technical metrics such as transaction errors, logging, response times, caching strategies, conversion/bounce rates, capacity, and resource utilization
• Conduct performance analysis and optimization of new and in-production systems, measuring and optimizing performance to get ahead of customer needs and drive continuous innovation
• Solve complex architecture, design, and business problems by simplifying processes, optimizing systems, and removing bottlenecks
• Recognize, validate, and evangelize emerging technologies and architectures that align with business objectives
• Troubleshoot complex, distributed production systems and drive root-cause analysis for platform-level incidents
• Participate in incident response, support, recovery, and postmortem analysis
• Provide technical guidance and mentorship to other team members
• Continuously evaluate and integrate AI/ML capabilities to enhance anomaly detection, alerting precision, and performance insights
• Collaborate cross-functionally with engineering teams to embed observability best practices into system design and deployment workflows

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior