21 days ago
Responsibilities
- Design and develop monitoring, logging, tracing, and alerting solutions.
- Partner with development and SRE teams to define observability requirements.
- Develop dashboards and actionable alerts for system health, performance, and reliability.
- Implement product-level performance and reliability monitoring.
- Build automation for troubleshooting, validation, and release processes.
- Contribute to AI-native observability initiatives involving anomaly detection, troubleshooting, and operational insights.
- Identify observability gaps and improve product reliability and operational readiness.
- Share observability best practices and product knowledge with SRE, Technical Support, and development teams.
Requirements
- Hands-on experience with software development, automation, or observability-related projects.
- Experience with monitoring, logging, metrics, tracing, or performance testing concepts.
- Experience with Python and/or Java.
- Familiarity with Grafana, Prometheus, OpenTelemetry, Datadog, or similar observability tools.
- Experience with cloud environments such as Google Cloud Platform or Amazon Web Services.
- Familiarity with REST APIs, distributed systems, and microservices is a plus.
- Interest in AI/ML and applying AI to software engineering, monitoring, and troubleshooting is a plus.
- Experience working in an Agile/Scrum development environment.
- Strong problem-solving and troubleshooting skills with an interest in system reliability and developer experience.
Benefits
- Co-op positions run 12–24 weeks.
- Participants receive the same orientation training as full-time engineers, an individual mentor, and opportunities to commit production code.
- Candidates may be considered for a full-time offer after graduation.
- Approximate compensation is $31–$49 per hour.
- Reasonable accommodations are available during the recruitment and hiring process.
Tech Stack
Categories
Site Reliability
About LiveRamp
LiveRamp builds a data collaboration and identity resolution platform used by brands, publishers, and agencies to connect and activate customer data across channels with privacy controls. It sells enterprise software and services—including data clean rooms, onboarding, and a data marketplace—typically via subscriptions and usage-based fees. Founded in 2011 and headquartered in San Francisco, it is a public company traded on the NYSE.