Software Engineer III – Python/PySpark/AWS

JPMorgan Chase & Co.; Tampa (FL); On-site; USD 90,000 - 120,000; Full time

Job summary

JPMorgan Chase & Co. is offering a position for a Software Engineer III specializing in Python, PySpark, and AWS in Tampa, Florida. In this role, you will be responsible for delivering secure and high-quality software solutions while collaborating in an agile team. Candidates should have over 3 years of experience in software development and a solid understanding of cloud technologies. This position encourages a culture of diversity and inclusion, offering opportunities for professional growth.

Qualifications

• 3+ years of software development experience with enterprise applications.
• Proficient in writing secure and high-quality code with at least one programming language.
• Hands-on experience in system design and application development.

Responsibilities

• Executes software solutions and technical troubleshooting.
• Creates secure production code and maintains algorithms.
• Gathers and analyzes data to improve software applications.

Skills

Python 3

PySpark

Cloud technologies (AWS)

Agile methodologies

Tools

Hadoop

Databricks

ETL tools

Snowflake

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 - Python/PySpark/AWS at JPMorganChase within the Payments Trust and Safety organization, 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, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• 3+ years of Software Development experience with enterprise applications
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance – Python 3, PySpark
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Exposure to cloud technologies - AWS EC2, EKS, RDS, S3, Lambdas
• Big Data Technologies such as PySpark, Hadoop, Databricks, ETL, Snowflake