JPMorganChase

Software Engineer III – Python, AWS

18 November 2025
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Deadline date:
£114000 - £155000 / year

Job Description

Job DescriptionWe 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 Commercial and Investment Bank, 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 ResponsibilitiesDesign, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics. Frequently utilizes SQL and understands NoSQL databases and their niche in the marketplaceImplement best practices for data engineering, ensuring data quality, reliability, and performanceContribute to data modernization efforts by leveraging cloud solutions and optimizing data processing workflowsPerform data extraction and implement complex data transformation logic to meet business requirementsMonitor and executes data quality checks to proactively identify and address anomaliesEnsure data availability and accuracy for analytical purposesIdentify opportunities for process automation within data engineering workflowsDeploy and manage containerized applications using Amazon ECS ( Kubernetes EKS) . Implement data orchestration and workflow automation using AWS step , Event BridgeUse Terraform for infrastructure provisioning and management, ensuring a robust and scalable data infrastructure. Required qualifications, capabilities, and skillsFormal training or certification on Software / Data Engineering concepts and 3+ years applied experienceExperience across the data lifecycleProficient in SQL coding (e.

g. , joins and aggregations)Experience in Micro service based component using ECS or EKSExperience in building and optimizing data pipelines, architectures, and data sets ( Glue or Data bricks etl)Proficient in object-oriented and object function scripting languages (Python etc.

)Experience in developing ETL process and workflows for streaming data from heterogeneous data sources ( Kafka)Experience building Pipeline on AWS using Terraform and using CI/CD pipelines Preferred qualifications, capabilities, and skillsAdvanced knowledge of RDBMS like Aurora , Open SearchExperience working with modern Lakehouse : Databricks , Glue Experience with data pipeline and workflow management tools (Airflow, etc. )Strong analytical and problem-solving skills, with attention to detail. Ability to work independently and collaboratively in a team environment.

A proactive approach to learning and adapting to new technologies and methodologies.


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