DescriptionWe have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate and Investment Bank Markets Research Technology you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure stable and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives. You will work on challenging Cloud-native data backend engineering and Artificial Intelligence/Machine Learning engineering helping us industrialize AI/ML models at production enterprise scale. This role is a technical hands-on engineering role. Experience with data science/ML modeling is advantageous but not essential to this role
Job responsibilities
Required qualifications capabilities and skills
- Formal training or certification onsoftware engineeringconcepts and 10 years proficient applied experience
- Hands-on practical experience in system design application development testing and operational stability
- Proficient in coding in one or more languages (Python preferably)
- Experience in developing debugging and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Overall knowledge of the Software Development Life Cycle
- Proven track record in system design architecting and developing microservices distributed systems and data-intensive applications
- Experience with Cloud services Infrastructure as Code containerized application development big data and modern data engineering technologies
- Practical experience developing Production-scale Cloud-native data engineering solutions in commercial environments
- Familiarity with Cloud Data engineering services (e.g. ETL Glue S3 Athena ECS EKS) and MLOps stack
- Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds
Preferred qualifications capabilities and skills
- Experience with data AWS and AIML engineering in commercial settings preferably in financial sector
- Experience working on recommendation systems LLM applications or other AI/ML systems
- Practical experience with Kubernetes EKS Docker MLOps
- Prior exposure to LLMs RAG Knowledge Graph Technologies OpenSearch and vector databases
- Prior experience collaborating with data scientists
Required Experience:
Senior IC
DescriptionWe have an exciting and rewarding opportunity for you to take your software engineering career to the next level.As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate and Investment Bank Markets Research Technology you serve as a seasoned member of an agile team to des...
DescriptionWe have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate and Investment Bank Markets Research Technology you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure stable and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives. You will work on challenging Cloud-native data backend engineering and Artificial Intelligence/Machine Learning engineering helping us industrialize AI/ML models at production enterprise scale. This role is a technical hands-on engineering role. Experience with data science/ML modeling is advantageous but not essential to this role
Job responsibilities
Required qualifications capabilities and skills
- Formal training or certification onsoftware engineeringconcepts and 10 years proficient applied experience
- Hands-on practical experience in system design application development testing and operational stability
- Proficient in coding in one or more languages (Python preferably)
- Experience in developing debugging and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Overall knowledge of the Software Development Life Cycle
- Proven track record in system design architecting and developing microservices distributed systems and data-intensive applications
- Experience with Cloud services Infrastructure as Code containerized application development big data and modern data engineering technologies
- Practical experience developing Production-scale Cloud-native data engineering solutions in commercial environments
- Familiarity with Cloud Data engineering services (e.g. ETL Glue S3 Athena ECS EKS) and MLOps stack
- Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds
Preferred qualifications capabilities and skills
- Experience with data AWS and AIML engineering in commercial settings preferably in financial sector
- Experience working on recommendation systems LLM applications or other AI/ML systems
- Practical experience with Kubernetes EKS Docker MLOps
- Prior exposure to LLMs RAG Knowledge Graph Technologies OpenSearch and vector databases
- Prior experience collaborating with data scientists
Required Experience:
Senior IC
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