Software Engineer III

As a Senior Application Engineer at JPMorgan Chase within the Planning and Analysis - Data Platform Team (FPNAE), you will have the opportunity to manage and optimize data within Finance. The focus of this role is 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, you will help reduce risk and data ownership costs. **Key Responsibilities:** - **Design and Develop Cloud-Native Applications:** Architect, build, and maintain scalable applications on AWS using event-driven patterns like Lambda, SNS/SQS, and EventBridge. - **API Development:** Create robust RESTful APIs using Python frameworks such as FastAPI and Django to ensure 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:** - **AWS Expertise:** Proven experience with AWS services like EC2, Lambda, S3, RDS, SNS/SQS, EventBridge, IAM, and CloudFormation. - **Event-Driven Architecture:** Strong understanding and practical experience in 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. In addition to technical skills, soft skills such as excellent problem-solving, communication, and teamwork abilities are essential for success in this role.,