Description

You will develop and operationalize large-scale enterprise data solutions focused on high availability, low latency, and scalability.

Responsibilities

• Develop and operationalize enterprise data solutions with a focus on scalability and low latency.
• Provide documentation and automation for Disaster Recovery during application deployment.
• Maintain security postures and work with compliance teams to meet PCI, FISMA, and FedRAMP guidelines.
• Build Infrastructure as Code (IaC) patterns using Terraform, cloud CLI, and cloud SDKs.
• Construct CI/CD pipelines for application and cloud architecture deployment using Jenkins and cloud-native toolchains.
• Monitor system health through the configuration of dashboards and observability tools.

Required Skills

• 5-7 years of experience in database administration, system administration, performance tuning, and automation.
• 2+ years of experience with Google Cloud analytical services including BigQuery, Cloud Spanner, DataFlow, Cloud Storage, Cloud Data Fusion, Cloud Functions, or Cloud Composer.
• Proven experience managing traditional databases such as SQL Server, Oracle, Postgres, or MySQL with 24/7 support experience.
• Hands-on experience with Infrastructure as Code using Terraform, Python, or Chef.
• Proficiency with source code repositories like GitHub and CI/CD tooling.
• Experience designing production data pipelines using Java, Python, Scala, or SQL within hybrid big data architectures.
• Strong cross-functional knowledge of systems, storage, networking, and security.
• Experience with monitoring tools such as DPA, DataDog, Big Panda, Prometheus, Grafana, Log Analytics, or Chao Search.
• BS degree in Computer Science, a related technical field, or equivalent professional experience.

Preferred Skills

• Understanding of GKE and distributed databases like CockroachDB, TigerGraph, or Neo4j.
• Cloud Certification.

Key Skills

Education

Any Graduate