Software Engineer III - AWS, Python, Spark

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 JPMorganChase within Enterprise Technology, 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


* Design, develop, and troubleshoot software solutions, applying innovative thinking to build resilient systems and decompose complex technical problems.


* Write secure, high-quality production code and maintain performant algorithms that integrate reliably with upstream and downstream systems.


* Produce and review architecture and design artifacts for complex applications, ensuring code implementations meet design constraints and non-functional requirements.


* Build scalable data pipeline frameworks using PySpark across multiple application and business scenarios.


* Gather, analyze, and synthesize insights from large, diverse datasets; create visualizations and reporting to drive continuous improvement of applications and systems.


* Proactively identify hidden issues and patterns in data, using findings to improve coding hygiene, data quality, and system architecture.


* Containerize services by creating Docker images; package and run ETL/data processing jobs using Kubernetes-based methodologies.


* Schedule and manage workflows with Airflow; orchestrate end-to-end application pipelines using internal and external toolsets.


* Own the application DevOps lifecycle from development to production, including CI/CD, environment promotion, release management, and operational readiness.


* Participate in data validations, production cutover, and go-live activities through General Availability (GA), ensuring reliability, observability, and supportability.


* Foster an inclusive team culture grounded in diversity, opportunity, respect, and continuous learning.

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 3+ years applied experience.


* Strong understanding of Agile methodologies, with hands-on experience in at least one common framework (e.g., Scrum or Kanban).


* Experience optimizing performance on both cloud and non - cloud platforms, with emphasis on data pipeline throughput, latency, and cost efficiency.


* Practical, hands-on experience in system design, application development, testing, and ensuring operational stability.


* Proficiency in Python, including building scalable data pipelines using PySpark.


* Experience developing, debugging, and maintaining code at enterprise scale using one or more modern programming languages and database/query languages.


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