Software Engineer III - Data engineering, Java​/Python

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 JP Morgan Chase within the Corporate Risk Technology, you serve as a seasoned member of an Agile Engineering & Architecture 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.

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

• Formal training or certification on software engineering concepts and 3 + years applied experience.
• Proficiency in Data Engineering & Architecture, AI/ML with hands-on experience in designing, implementing, testing, and ensuring the operational stability of large-scale enterprise platforms and solutions
• Advanced in one or more programming language(s) eg. Java, Python, C/C++, C#
• Working knowledge of relational and No
  
  SQL databases and data lake architectures
• Experience in developing, debugging, and maintaining code (preferably in a large corporate environment) with one or more modern programming languages and database querying languages with good overlap of application & DB.
• Experience in large scale data processing, using micro services, API design, Kafka, Redis, Mem Cached, Observability (Dynatrace , Splunk, Grafana or similar), Orchestration (Airflow, Temporal)
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Practical cloud native experience

• Experience with modern data technologies such as Databricks or Snowflake.
• Hands-on experience with Spark/PySpark and other big data processing technologies
• Knowledge of the financial services industry and their IT systems