CompanyFederal Reserve Bank of San Francisco

We are the Federal Reserve Bank of San Francisco-public servants with a mission to advance the nation's monetary, financial, and payment systems to build a stronger economy for all Americans. We are a community-engaged bank, and are committed to understanding and serving the vibrant, expansive communities of the Twelfth District. We respect people for what they do and for who they are. We build opportunities to learn and grow. We empower our people to balance their life and work responsibilities. That's why we offer a flexible hybrid work model that allows you to collaborate with office colleagues on some days, and work from home on others.

We are looking for a Cloud Data Engineer to join the Data and Analytics Service (DAS) Team. Our team delivers a centralized data and analytics platform that provides advanced data migration and analytics solutions for our customersfor data storage, data processing, data integration, data lakes, data warehousing, and data analytics. You will work cross-functionally with Data Architects, Product Owners, Design Engineers, Developers and Business Analysts in a rapidly evolving environment, identifying solutions, building, and implementing Infrastructure as Code using our CI/CD pipeline. You will have an opportunity to showcase your critical thinking and technical skills across many disciplines. This role will be instrumental in shaping the development and support of our product roadmaps and will advance our cloud data analytics platforms. Essential Responsibilities * Understand technology vision and strategic direction of business needs * Develop integrated solution in alignment with design patterns, blueprints, guidelines, and standard methodologies for products including building integrations between cloud native and 3rd party vendor products * Develop and deploy Infrastructure-as-Code solutions related to data platform scalability, isolation, latency, throughput, and efficiency * Identify and respond effectively to service failures and incidents to preserve the service's conformance to its Service-Level Agreement and regularly update the runbook to reduce the time necessary to mitigate an incident * Work with developers to establish Service-Level Objectives and key Service-Level Indicators * Establish/follow postmortem procedures and lead postmortem exercises * Conduct Production Readiness Reviews to ensure services meets accepted standards of operational readiness before going live * Rehydrate infrastructure on schedule * Perform Incident response, on call activities, standing up ad-hoc environments and manage system activities to an error budget * Automate various workflows and pipelines on data and analytics platform to empower developers with self-service capability using Terraform, Python, and OS shell scripts * Develop validation and certification process through automation tools * Develop multi-layered build, installation, configuration, patching, regression testing, and rollback scripts in each environment * Create scripts to compare different versions of the configuration settings * Provide technical onboarding support for customers on the enterprise data and analytics platform in a timely manner and within SLAs * Ensure queries, questions, impediments from customers related to technical onboarding are remediated within a reasonable time and all issues are resolved * Help identify customer pain points and translate them into documentation like user guides, FAQs, how to do's, runbooks etc. * Provide consulting and guidance on business solution development in the data and analytics space and cloud... For full info follow application link.

The Federal Reserve Bank of San Francisco is an Equal Opportunity Employer. Our people refl ect the diversity and the ideas of the community we serve.