Principal Software Engineer - Data & AI Strategy
- Collaborates with product and engineering teams to deliver robust firmwide data governance solutions that drive enhanced customer experiences.
- Provides critical day-to-day leadership and strategic thinking, working with team of engineers and architects to align cross-functional initiatives, ensuring they are feasible both fiscally and technically.
- Leads the consolidation and convergence effort of the Data Governance capabilities under unified CDAO Platform and other priority firmwide initiatives related to BCBS 239, data lineage, controls & data quality.
- Enables engineering teams to Develop, enhance, and maintain established standards and best practices, Drive, self-service, and deliver on a strategy to operate on a build broad use of Amazon's utility computing web services (e.g., AWS EC2, AWS S3, AWS RDS, AWS CloudFront, CloudWatch, EKS)
- Identifies opportunities to improve resiliency, availability, secure, high performing platforms in Public Cloud using JPMC best practices.
- Implements continuous process improvement, including but not limited to policy, procedures, and production monitoring and reduce time to resolve. Identify, coordinate, and implement initiatives/projects and activities that create efficiencies and optimize technical processing.
- Measures and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve.
- Utilizes programming languages like Java, Python, SQL, Node, Go, and Scala, Graph DB and Open Source RDBMs databases, Container Orchestration services including Kubernetes, and a variety of AWS tools and services.
- Makes decisions that influence teams' resources, budget, tactical operations, and the execution and implementation of processes and procedures.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 10+ years applied experience.
- Strong understanding of business technology drivers and their impact on architecture design, performance, and monitoring.
- Excellent communication skills, with the ability to adapt verbiage and style to the audience and deliver critical information clearly and concisely.
- Strong experience in managing stakeholders at all levels.
- Strong analytical thinker with business acumen, capable of assimilating information quickly and focusing on solution-based incident and problem management.
- Hands-on experience with one or more cloud computing platform providers, and proficiency in building on emerging cloud serverless managed services.
- Experience in architecting for private and public cloud environments, including re-engineering and migrating on-premises data solutions to the cloud.
- Experience with high-volume, mission-critical applications and their interdependencies with other applications and databases.
- Knowledge of container platforms such as Kubernetes, with a strong understanding of architecture, design, and business processes.
- Keen understanding of financial and budget management, control, and optimization of Public Cloud expenses.
- Experience working in large, collaborative teams to achieve organizational goals, with a passion for building an innovative culture.
- Bachelor's /master's degree in computer science or other technical, scientific discipline
- Experience implementing multi-cloud architectures and deep understanding of cloud infrastructure design, architecture, and cloud migration strategies.
- Demonstrated proficiency in technical solutions, implementing firmwide solutions and experience in data governance vendor product knowledge
- Experience leading Data Governance and Data Risk Reporting platforms
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans Base Pay/Salary
Jersey City,NJ $204,250.00 - $285,000.00 / year
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