Senior Cloud DevOps Engineer with Data Pipeline Expertise
Oracle
- United States
- United States
Über
Develop and promote standards and best practices while collaborating closely with senior leadership to highlight your expertise.
Participate in exciting AI and cloud-native projects within a results-driven team environment.
Key Responsibilities: Work alongside data scientists and business analysts to convert research code into production-ready services and repeatable processes.
Configure and maintain crucial cloud resources within OCI, including IAM policies, VCNs, access rules, logging, and monitoring.
Design, implement, and manage CI/CD pipelines for R and Python applications leveraging OCI DevOps, Git-based workflows, and Artifact Registry.
Containerize applications using tools like Docker or Build Service to ensure consistent deployment methodologies.
Set up and manage static web hosting through OCI Object Storage, CDN, and DNS configuration.
Bring hands-on cloud experience, ideally with Oracle Cloud Infrastructure; familiarity with AWS, Azure, or GCP is also welcome.
Lead the design, implementation, and maintenance of sophisticated data pipelines and platforms from requirements gathering to final delivery.
Architect, build, and enhance large-scale, reliable, and secure data workflows on Oracle Cloud Infrastructure utilizing services like OCI Data Flow, Data Integration, and Autonomous Data Warehouse.
Collaborate with data scientists, software engineers, product managers, and business stakeholders to create scalable and efficient solutions.
Drive the evaluation and adoption of new Oracle cloud-native technologies to facilitate ongoing process enhancements.
Ensure adherence to Oracle's security, privacy, and data management protocols while systematically identifying risks.
Mentor junior team members and cultivate a culture of learning and high standards.
Prepare and deliver technical proposals and optimization recommendations to technical and business leadership.
Translate business objectives into actionable solutions.
Promote collaboration and knowledge sharing to elevate technical understanding across the organization.
Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
5+ years of data engineering experience with a demonstrated history of designing and delivering large-scale data platforms in cloud environments.
Strong expertise in Oracle Cloud Infrastructure, Autonomous Data Warehouse, Oracle Database, and data integration tools.
Extensive experience in data modeling, warehousing, ETL/ELT design patterns, and developing production-grade data solutions using Oracle products.
Comprehensive understanding of data security, privacy, and best practices for regulated industries.
Excellent analytical, problem-solving, and communication skills, with a proven track record of cross-team collaboration.
Experience in mentoring or promoting best practices within data engineering.
Preferred Qualifications: Experience managing migration projects or building new data platforms on OCI.
Knowledge of Oracle Analytics Cloud, Oracle Machine Learning, and DevOps practices tailored for data workflows.
Professional Oracle certifications in cloud data management or related fields.
Note: Certain U.S. customer or client-facing roles may require compliance with relevant immunization and occupational health mandates. This position offers a competitive salary range from $96,800 to $223,400 per annum, with potential eligibility for bonuses and equity. Oracle provides a comprehensive benefits package, including medical, dental, and vision insurance, retirement plans, and paid time off, to support employee wellness and work-life balance. We are committed to fostering an inclusive workforce and warmly welcome applicants from diverse backgrounds.
Sprachkenntnisse
- English
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