Job
Description
As a Site Reliability (SRE)/DevOps Engineer on our data and analytics team, you will work on the availability, automation, performance, efficiency, scaling, monitoring and emergency response of the core systems that store data at Morningstar. You build deep understanding of platforms, architecture, people, systems, and processes to both establish and continuously improve SLIs and SLOs for uptime, performance, deployment, monitoring, and troubleshooting. Your Day to Day: Maintain and support the product and data systems: proactively monitor events, investigate issues, analyze solutions, and drive problems through to resolution. Develop tools and reporting as needed by projects and operations. Work with products to define application hardening and define opportunities for chaos engineering. Use operational tools and monitoring platforms to gain in-depth knowledge, understanding, and ongoing monitoring of system availability, performance, and capacity. Implement alerting strategy that makes alerts actionable and unique. Provide follow-through to ensure issues are resolved to satisfaction Contribute to continuous improvement and innovation within the team. A sense of ownership, initiative and drive. Basic Qualifications: Bachelors degree or higher with some experience in a technical support role. You have been working in technology for 0 - 2 years Responsibilities: 1st level of support for data triage/issues Support for other teamz - all data consumers Review data logs, manifests, track lineage of data changes. Identify causes of data changes, report out to owners of that change. Understand event framework and triage events in audit DB Access Management Include entitlement access (EAMS) Release management - deployment check lists Support for data lake releases, dashboard changes, etc Coordinate with Data Lake DevOps in Mumbai around releases Event and Incident management - Alerts and Incidents RCA like contributions, why did this data move? Do we need to make changes to the pipes, qc checks, etc Incident commander for P1/P2 incidents Drive continuous improvement by assessing trend of metrics such as MTTA, MTTR Monitoring, data thresholds/coverage checks Building and monitoring dashboards, alerts. Contribute to the mechanical testing of changes (row count, nulls, break schema, etc) Help with deep integration with QC framework Ops readiness check lists Ensure to follow standards, architecture diagrams, dataset catalog, data contract, logging standards etc Dashboards for data status, workflow status for all data movements in all zones Etleap will be building some dashboards out; we'll need to understand and outline any overlap here Tools for data view for troubleshooting purposes like XOI viewer Same as above Ad-hoc operations project coordination Server maintenance, upgrade Application and server log management Disaster recovery plan and event Security event and patching Preferred Qualifications: Experience in Python, other scripting languages Experience with AWS: S3, SNS, SQS, DynamoDB, Glue, Lake Formation, Spark, SQL Experience with Linux, Parquet, Avro and ORC formats Knowledge of monitoring tools and strategy: VictorOps, New Relic, CloudWatch, Splunk ideally Experience running incident post-mortems Understanding of automated deployment processes leveraging Terraform, Jenkins You have been working in technology for 0-2 years Please include a cover letter describing your passion for engineering operations and participating in building efficient, reliable systems
