Site Reliability Engineer - Observability Platform

Visa sponsorship is not available for this position.

Requirements

• 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
• 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)
• 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.