Contribute to the development and maintenance of the systems that provide visibility into Shipt’s technical ecosystem.
Implement and support a high-performance telemetry platform for engineering teams to monitor, debug, and optimize their services effectively.
Work closely with senior engineers to ensure metrics, logs, and traces are reliable and actionable.
Help bridge the gap between traditional monitoring and intelligent diagnostics.
Utilize and support AI-enhanced tools and interfaces to streamline interaction with telemetry data.
Help integrate autonomous agents and predictive models into workflows for a proactive, self-healing infrastructure environment.

Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
3+ years of professional experience in software engineering, with exposure to observability, SRE, or infrastructure-focused roles.
Proficiency in at least one programming language, such as Golang or Python, for building and automating infrastructure tooling.
Familiarity with modern Log/Metric/Trace observability stacks
such as Prometheus, OpenTelemetry, structured logging, or similar observability stacks.
Basic understanding of how AI and machine learning can be applied to time-series data for anomaly detection.
Experience working with containerized environments like Kubernetes and cloud platforms like GCP.
Strong analytical and problem-solving skills, with a commitment to providing high-quality visibility for engineering teams.

Employees (and eligible family members) are covered by medical, dental, vision and more.
Employees may enroll in our company’s 401k plan.
Employees will also be eligible to receive discretionary vacation for exempt team members.
Paid holidays throughout the calendar year and paid sick leave.
Other compensation includes eligibility for an annual bonus and the potential for restricted stock units based on role.

Site Reliability Engineer

Key skills