As a Lead Infrastructure Engineer at JPMorgan Chase within the Technology Infrastructure team, you will be responsible for designing, developing, and maintaining robust and scalable applications, ensuring seamless integration with cloud services and databases, and automating workflows using various scheduling options.

We are seeking a highly skilled Developer with expertise in Java latest frameworks, Python, Pyspark ,AWS, Databricks, Database, ETL and SRE expertise. 

Key Responsibilities:

Enhance Regulatory Reports and responsible for its maintenance using Java Spring Boot frameworkImplement and manage cloud-based solutions on AWS, ensuring high availability and scalabilityDevelop and optimize complex queries and procedures in Oracle DatabaseWork in Postgres Database under Cloud environmentDesign and implement ETL processes using AWS Glue jobs with Pyspark to ensure efficient data integration and transformationAutomate and schedule batch jobs using Control-M to streamline operationsCollaborate with cross-functional teams to gather requirements and deliver solutions that meet business needsTroubleshoot and resolve technical issues across the application stackStay updated with the latest industry trends and technologies to ensure our solutions remain cutting-edge

Required qualifications, capabilities and skills 

Bachelor’s degree in Computer Science, Information Technology, or a related fieldFormal training or certification on software engineering concepts and 5+ years applied experienceStrong proficiency in Java Spring Boot and related frameworksHands-on experience with AWS services such as EC2, S3, RDS, Lambda,Databricks etc.In-depth knowledge of Oracle Database, including PL/SQL programmingExperience with ETL technologies, specifically Glue(Pyspark), Pentaho, for data integration tasksFamiliarity with Control-M, Autosys for job scheduling and automationExcellent problem-solving skills and attention to detailFamiliarity with containerization technologies like Docker and KubernetesStrong communication and teamwork abilitiesKnowledge on Databricks and DataLake house and Knowledge of DevOps practices and CI/CD pipelines(Jenkins/other frameworks)

Preferred qualifications, capabilities, and skills

Exposure to Production Management process like Incidents, Change Management and other relevant process knowledge