If you are looking for a game-changing career, working for one of the world's leading financial institutions, you’ve come to the right place.

As a Principal Software Engineer at JPMorganChase within the Corporate Risk Technology, you, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm’s portfolios.

Job responsibilities

Architect and implement complex, scalable data engineering/ coding frameworks and solutions using modern software design principles.Lead the design and development of secure, high-quality production code for data-intensive applications; review and mentor other engineers.Drive adoption of advanced technical methods and practices aligned with the latest industry standards.Advises cross-functional teams on technological matters within your domain of expertiseServes as the function’s go-to subject matter expertCreates durable, reusable software frameworks that are leveraged across teams and functionsInfluences leaders and senior stakeholders across business, product, and technology teamsChampions the firm’s culture of diversity, opportunity, inclusion, and respectContributes to the development of technical methods in specialized fields in line with the latest product development methodologies

 

Required qualifications, capabilities, and skills

[Action Required: Insert 1st bullet according to Years of Experience table]Strong proficiency in Data Engineering, Data Architecture, AI/ML with hands-on experience in designing, implementing, testing, and ensuring the operational stability of large-scale enterprise data platforms and solutionsExpert in one or more programming language(s) eg. Java, Python , C/C++;Advanced working knowledge of relational and NoSQL databases, data lake architectures, data mesh concepts, and data governance.Practical experience with cloud-native data platforms (AWS, Azure, GCP).Experience leading technical teams and projects as a Tech Lead or Data ArchitectExperience in large scale data processing, using micro services, API design,  Kafka, Redis, MemCached, Observability (Dynatrace , Splunk, Grafana or similar), Orchestration (Airflow, Temporal)Advanced knowledge of software application development and technical processesAbility to present and effectively communicate with Senior Leaders and Executives

Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

 

Preferred qualifications, capabilities, and skillsDeep hands-on experience with Spark/PySpark, other big data processing technologiesExperience with modern data technologies and cloud-based solutions, such as Databricks or Snowflake.Expertise in modern, open-source table formats and catalog services for managing large-scale data in data lakes, such as Apache Iceberg.Experience with federated database entitlements such as Immuta or similar tools.Familiarity with data consumption tools like Dremio or Starburst.

Knowledge of the financial services industry and their IT systems