Site Reliability Engineer

We are seeking a Site Reliability Engineer (SRE) to support the reliability, observability, and performance of our backend data platform. This platform ingests high-volume data from hotel systems, ticketing, and MagicBand readers, flowing through custom pipelines into our data warehouse. The ideal candidate will have a strong background in Python, cloud-native technologies, and observability tools, with a focus on ensuring data integrity and system reliability across multiple touchpoints.

Responsibilities:
Monitor and maintain a custom data pipeline from ingestion to delivery, ensuring data integrity and performance.
Instrument and observe systems using cloud serverless technologies, including:
- AWS Lambda
- Amazon S3
- Amazon Kinesis
- Snowflake
- Docker containers on ECS
Migrate observability workflows from AWS CloudWatch to Datadog, centralizing metrics, dashboards, and alerts.
Build and tune Datadog dashboards and alerts to support SLAs and system health.
Graph and analyze metrics to ensure pipeline reliability and performance.
Investigate and resolve issues in the pipeline, ensuring expected behavior across all stages.
Work within the Python codebase (~20–40% of time) to:
- Create coherent tickets for issues
- Fix bugs and improve instrumentation
Perform click-ops tasks (~60–80% of time) in Datadog, including:
- Dashboard creation and maintenance
- Access request handling
- Alert tuning and incident response

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Strong proficiency in Python, especially in backend and infrastructure contexts.
Experience with AWS services (Lambda, S3, Kinesis, CloudWatch).
Familiarity with Datadog for monitoring, alerting, and dashboarding.
Understanding of data pipelines, data integrity, and observability best practices.
Experience with Docker and ECS in production environments.
Familiarity with infrastructure as code (e.g., Terraform, CloudFormation).
Exposure to SLAs, incident response, and data reliability engineering.

Experience with Snowflake and data warehouse integrations.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.