# Production Engineer - Database Operations

**Company:** [Palantir](https://hotfix.jobs/companies/palantir)
**Location:** Unspecified
**Role:** DevOps / SRE
**Skills:** Java, Python, Go, Kubernetes, Helm, AWS, GCP, Azure, Openshift, Cassandra, Elasticsearch, Kafka, Linux, Grafana, Prometheus
**Posted:** 2025-02-06

> This engineer automates deployment and operation of production databases, manages migrations, improves reliability, and participates in incident response and on-call rotations. The role requires programming experience, cloud and orchestration expertise, database knowledge, and a strong Linux foundation.

## Job Description

## Responsibilities
- Build software that automates the routine work of deploying and running production databases.
- Participate in regular on-call rotations.
- Troubleshoot, diagnose, and remediate stability and reliability issues in production database systems.
- Participate in post-incident reviews and own follow-up actions.
- Identify patterns across incidents, support tickets, and alerts and translate them into proposals for systemic fleet improvements.
- Manage and execute large-scale migrations of the database fleet.
- Partner with customer-facing teams during incidents and when setting up new database installations.
- Work with database engineering and infrastructure teams to build resilient, highly available database systems.
- Invest in documentation, metrics, monitors, and troubleshooting tools.
- Maintain engineering and operational standards through code reviews, design reviews, and feedback on operating procedures.
- Build and share expertise in production systems and technologies such as Kubernetes, cloud environments, Cassandra, and Elasticsearch.

## Requirements
- Engineering background in Computer Science, Mathematics, Software Engineering, Physics, or a similar field.
- Experience writing code in languages such as Java, Python, and Go, through professional work or personal projects.
- Experience with cloud and orchestration technologies such as Kubernetes, Helm, AWS, Google Cloud, Azure, and OpenShift.
- Experience with database technologies such as Cassandra, Elasticsearch, and Kafka.
- Solid foundation in Linux and distributed web services.
- Familiarity with observability tools such as Grafana and Prometheus.
- Strong written and verbal communication skills, with the ability to iterate quickly with teammates and incorporate feedback.

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