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 Chief Technology Office, 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
- 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, equity, inclusion, and respect
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Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Hands on experience, focusing on cloud and Big Data environments.
- Experience in leading and managing software engineering teams with successful project delivery.
- Proficiency in programming languages like Python or Java, with cloud-native development experience.
- Expertise in AWS services (Data Lakes, EMR, EKS/ECS, Glue) and Hadoop ecosystem tools.
- Experience with Infrastructure as Code (IaC) tools like Terraform for cloud resource management.
- Strong understanding of SDLC, agile methodologies, CI/CD, and exposure to AI and machine learning applications.
Preferred qualifications, capabilities, and skills
- Familiarity with Cloudera Data Platform
- Familiarity with Databricks and Open Table formats like Iceberg, Delta Lake
- AWS Cloud Certification will be plus
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.