Job Title: Oracle DBA
Duration : Contract
Location :San Jose CA
Job Summary:
The Senior Staff Database Engineer designs builds and optimizes mission-critical database platforms supporting global-scale systems. This role combines deep technical expertise across OLTP and Big Data platforms with advanced automation observability and AI-driven optimization. The engineer drives architectural innovation performance tuning and reliability improvements while mentoring engineers and collaborating with cross-functional teams. This position suits a senior technologist passionate about solving complex distributed system challenges driving automation and advancing next-generation data infrastructure at scale.
Job Description:
Essential Responsibilities:
- Architect and manage scalable fault-tolerant database platforms (Google Spanner BigTable Oracle MySQL CloudSQL).
- Lead design of multi-cloud database solutions leveraging Terraform Ansible Puppet and Kubernetes.
- Implement Infrastructure-as-Code CI/CD pipelines and GitOps workflows for schema and infrastructure automation.
- Conduct performance optimization query tuning and replication improvements for mission-critical systems.
- Design and maintain SLIs/SLOs/SLA standards ensuring system reliability and availability.
- Drive automation through Python-based and AI/ML-powered observability and remediation tools.
- Lead high-severity incident response root cause analysis and postmortems.
- Collaborate across development DevOps and data science teams on scalable data solutions.
- Mentor engineers promote best practices and influence architectural standards.
- Contribute to strategic initiatives transforming Customers global data and analytics infrastructure.
Expected Qualifications:
- 15 years relevant experience and a Bachelors degree OR Any equivalent combination of education and experience.
- Strong expertise in distributed systems Big Data (Hadoop Spark Kafka) and analytics platforms.
- Proficiency in Terraform Ansible Puppet Packer and Kubernetes for automation and IaC.
- Advanced programming in Python and Bash; strong SQL proficiency.
- Deep understanding of observability and reliability tools (Prometheus Grafana Datadog ELK).
- Experience designing for redundancy failover and disaster recovery.
- Strong knowledge of multi-cloud environments (AWS GCP Azure).
- Skilled in Linux administration network architecture and database security.
- Demonstrated ability to lead complex technical initiatives and mentor others.
Job Title: Oracle DBA Duration : Contract Location :San Jose CA Job Summary: The Senior Staff Database Engineer designs builds and optimizes mission-critical database platforms supporting global-scale systems. This role combines deep technical expertise across OLTP and Big Data platforms with ad...
Job Title: Oracle DBA
Duration : Contract
Location :San Jose CA
Job Summary:
The Senior Staff Database Engineer designs builds and optimizes mission-critical database platforms supporting global-scale systems. This role combines deep technical expertise across OLTP and Big Data platforms with advanced automation observability and AI-driven optimization. The engineer drives architectural innovation performance tuning and reliability improvements while mentoring engineers and collaborating with cross-functional teams. This position suits a senior technologist passionate about solving complex distributed system challenges driving automation and advancing next-generation data infrastructure at scale.
Job Description:
Essential Responsibilities:
- Architect and manage scalable fault-tolerant database platforms (Google Spanner BigTable Oracle MySQL CloudSQL).
- Lead design of multi-cloud database solutions leveraging Terraform Ansible Puppet and Kubernetes.
- Implement Infrastructure-as-Code CI/CD pipelines and GitOps workflows for schema and infrastructure automation.
- Conduct performance optimization query tuning and replication improvements for mission-critical systems.
- Design and maintain SLIs/SLOs/SLA standards ensuring system reliability and availability.
- Drive automation through Python-based and AI/ML-powered observability and remediation tools.
- Lead high-severity incident response root cause analysis and postmortems.
- Collaborate across development DevOps and data science teams on scalable data solutions.
- Mentor engineers promote best practices and influence architectural standards.
- Contribute to strategic initiatives transforming Customers global data and analytics infrastructure.
Expected Qualifications:
- 15 years relevant experience and a Bachelors degree OR Any equivalent combination of education and experience.
- Strong expertise in distributed systems Big Data (Hadoop Spark Kafka) and analytics platforms.
- Proficiency in Terraform Ansible Puppet Packer and Kubernetes for automation and IaC.
- Advanced programming in Python and Bash; strong SQL proficiency.
- Deep understanding of observability and reliability tools (Prometheus Grafana Datadog ELK).
- Experience designing for redundancy failover and disaster recovery.
- Strong knowledge of multi-cloud environments (AWS GCP Azure).
- Skilled in Linux administration network architecture and database security.
- Demonstrated ability to lead complex technical initiatives and mentor others.
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