Software Engineer III - Python, AWS, Microservices, API's

Job Description
The Planning and Analysis - Data Platform Team (FPNAE) offers a unique opportunity to manage and optimize data within Finance. We focus on data lake utilization, data governance, and ETL process optimization to deliver high-quality, timely data in a controlled manner. By consolidating processes into a single operating model, we reduce risk and data ownership costs. We are looking for a Senior Application Engineer skilled in AWS, event-promoten architecture, RESTful API design, and modern application development, with expertise in Python frameworks, database management, and Databricks.
As a Software Engineer III at JPMorgan Chase within the Planning and Analysis - Data Platform Team (FPNAE)
Job Responsibilities

• Design and Develop Cloud-Native Applications Architect, build, and maintain scalable applications on AWS using event-driven patterns (e.g., Lambda, SNS/SQS, EventBridge).
• API Development Create robust RESTful APIs using Python frameworks such as FastAPI and Django, ensuring high performance and security.
• Database Engineering Design, implement, and optimize operational databases, primarily PostgreSQL, including schema design, indexing, and query optimization.
• Data Engineering & Analytics Collaborate with data teams to integrate applications with Databricks, supporting ETL pipelines, data processing, and analytics workflows.
• Application Lifecycle Management Participate in the full software development lifecycle, including requirements gathering, design, coding, testing, deployment, and maintenance.
• DevOps & Automation Implement CI/CD pipelines, automate deployments, and monitor application health using AWS-native and third-party tools.
• Collaboration & Documentation Work closely with cross-functional teams (product, data, infrastructure) and document technical solutions, architecture, and best practices.

Required qualifications, capabilities and skills

• AWS Expertise Proven experience with AWS services (EC2, Lambda, S3, RDS, SNS/SQS, EventBridge, IAM, CloudFormation).
• Event-Driven Architecture Strong understanding and practical experience designing event-driven systems and microservices.
• RESTful API Development Deep knowledge of REST principles and hands-on experience building APIs with FastAPI and Django.
• Python Programming Advanced proficiency in Python, with experience in application engineering and scripting.
• Database Management Solid experience with PostgreSQL, including performance tuning and operational management.
• Databricks Knowledge Good understanding of Databricks platform, Spark, and data engineering concepts.
• DevOps Practices Experience with CI/CD, infrastructure as code, and application monitoring.
• Soft Skills Excellent problem-solving, communication, and teamwork abilities.