The Software Engineer III role involves designing and optimizing data pipelines, developing machine learning models, and collaborating on software solutions while leveraging big data and cloud technologies.
Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the Enterprise 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 firm's business objectives.
Job responsibilities
Required qualifications, capabilities, and skills
Preferred qualifications, capabilities, and skills
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the Enterprise 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 firm's business objectives.
Job responsibilities
- Build and optimize data pipelines using Spark and related technologies
- Design, develop, and maintain machine learning models in production
- Collaborate with modelers and business stakeholders to deliver solutions
- Apply expertise in software development lifecycle and technical documentation
- Incorporate advancements in GenAI and LLM technologies into engineering practices
- Contribute to team knowledge base and foster an innovative culture
- Deliver high-quality results within tight deadlines
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 2+ years applied experience
- Hands-on experience with machine learning frameworks and big data technologies such as Hadoop
- Proficient in programming languages such as Java or Python
- Experience with Python machine learning libraries and ecosystem (e.g., Pandas, Numpy)
- Experience with cloud technologies such as AWS or Azure
- Experience working with databases such as Cassandra, MongoDB, or Teradata
- Solid understanding of agile methodologies and collaborative development environments
Preferred qualifications, capabilities, and skills
- Familiarity with Generative AI and Large Language Models, and experience integrating these technologies into data workflows
- Experience with build tools like Maven and source control systems such as Git or SVN
- Experience in performance tuning and code optimization
Top Skills
AWS
Cassandra
Databricks
Git
Hadoop
Java
Maven
MongoDB
Numpy
Pandas
Python
Spark
Svn
Teradata
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