Job Description
Note:
The job is a remote job and is open to candidates in USA. Gorilla Logic is looking for Data Infrastructure Engineers to work on large-scale data platforms for one of their enterprise clients. The role involves operating and evolving data platforms in production, focusing on improving reliability, automation, and performance across distributed systems. Responsibilities • Operate and support production-grade data infrastructure across batch, lakehouse, or streaming environments • Improve reliability through automation, monitoring, observability, and incident response • Build, maintain, and optimize data pipelines and platform tooling • Support upgrades, migrations, and platform evolution initiatives • Collaborate closely with data engineers, analytics teams, and platform stakeholders • Handle KTLO work, including maintenance, troubleshooting, and documentation • Apply infrastructure best practices using cloud-native and IaC approaches Skills • Strong experience with Python or Java • Hands-on experience operating distributed systems in production • Experience working with cloud platforms (AWS, GCP, or Azure) • Familiarity with data infrastructure or data platform concepts • Comfortable working on reliability, maintenance, and operational tasks • Ability to collaborate with cross-functional and client-facing teams • Advanced English level to work directly with clients • Experience with orchestration tools (Airflow, Dagster, Temporal, Luigi) • Experience with Spark, Databricks, or lakehouse technologies • Experience with Kafka, Flink, or streaming platforms • Infrastructure as Code (Terraform, CloudFormation) • Kubernetes and containerized workloads • Observability tooling (Prometheus, Grafana, Datadog, etc.) Company Overview • Gorilla Logic provides custom application development services on the ground and in the cloud to many of the world's leading It was founded in 2002, and is headquartered in Boulder, Colorado, USA, with a workforce of 501-1000 employees.
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