Software Engineer [Multiple Positions Available]

JPMorganChase•Plano, TX

4h•Onsite

About The Position

DESCRIPTION: Duties: Work closely with the product owners and development teams to design and implement scalable data pipelines for data ingestion and data feature creation. Provide recommendations and insight on data management and ensure efficient functioning of data storage and process functions in compliance with company security policies. Execute creative software solutions and responsible for designing, analyzing, and resolving infrastructure vulnerabilities and application deployment issues. Optimize data pipelines for performance, scalability, efficiency, document data process, pipeline configurations, and non-functional requirements. Data modeling concepts and techniques and analyze data to derive insights and inform decision making. Guide team members to work on complex coding issues, project planning and system architecture. QUALIFICATIONS: Minimum education and experience required: Master's degree in Computer Applications, Computer Science or related field of study plus 5 years of experience in the job offered or as Software Engineer, Developer, Java Developer, or related occupation. The employer will alternatively accept a Bachelor's degree in Computer Applications, Computer Science or related field of study plus 7 years of experience in the job offered or as Software Engineer, Developer, Java Developer, or related occupation. Skills Required: This position requires experience with the following: Utilizing Java, J2EE, building APIs, design patterns and microservices to create scalable and robust applications; Building and deploying enterprise level java applications with Spring, Spring Boot, Spring Data JPA, Spring security, and Hibernate; System designing, Java concurrency, multithreading concepts and Spring Batch for large scale data processing; Processing large datasets using Apache Spark and Kafka; analyzing complex data set using Hive; Utilizing Python and UNIX scripts to automate software application tasks; Designing, implementing, and managing relational databases including AWS RDS, PostgreSQL and NoSQL Databases; Developing and Deploying serverless applications on AWS using Lambda; Utilizing AWS services including IAM for authentication and authorization, S3 for storage, SQS for reducing decoupling, EMR for data extraction, transformation, loading and CloudWatch for monitoring; Utilizing AWS ECS for cluster containerization and orchestration of applications on AWS to enhance application resiliency; Developing and implementing vulnerability management strategies, including regular scanning and timely remediation of identified vulnerabilities; Utilizing data encryption techniques for data at rest and in transit using tokenization and secure key management practices; Utilizing Docker to build and deploy containerized applications within CI/CD Jenkins pipelines; automating software delivery processes; Using Maven for build automation and project management; Using GIT for version control, collaboration, and code management in software development projects; Utilizing Cucumber, Gherkin, Mockito and Junit to create and implement unit, automated and acceptance tests; Utilizing Splunk for searching and monitoring software application logs. Job Location: 8181 Communications Parkway, Plano, TX 75024.

Requirements

Master's degree in Computer Applications, Computer Science or related field of study plus 5 years of experience in the job offered or as Software Engineer, Developer, Java Developer, or related occupation. The employer will alternatively accept a Bachelor's degree in Computer Applications, Computer Science or related field of study plus 7 years of experience in the job offered or as Software Engineer, Developer, Java Developer, or related occupation.
Utilizing Java, J2EE, building APIs, design patterns and microservices to create scalable and robust applications
Building and deploying enterprise level java applications with Spring, Spring Boot, Spring Data JPA, Spring security, and Hibernate
System designing, Java concurrency, multithreading concepts and Spring Batch for large scale data processing
Processing large datasets using Apache Spark and Kafka
Analyzing complex data set using Hive
Utilizing Python and UNIX scripts to automate software application tasks
Designing, implementing, and managing relational databases including AWS RDS, PostgreSQL and NoSQL Databases
Developing and Deploying serverless applications on AWS using Lambda
Utilizing AWS services including IAM for authentication and authorization, S3 for storage, SQS for reducing decoupling, EMR for data extraction, transformation, loading and CloudWatch for monitoring
Utilizing AWS ECS for cluster containerization and orchestration of applications on AWS to enhance application resiliency
Developing and implementing vulnerability management strategies, including regular scanning and timely remediation of identified vulnerabilities
Utilizing data encryption techniques for data at rest and in transit using tokenization and secure key management practices
Utilizing Docker to build and deploy containerized applications within CI/CD Jenkins pipelines
Automating software delivery processes
Using Maven for build automation and project management
Using GIT for version control, collaboration, and code management in software development projects
Utilizing Cucumber, Gherkin, Mockito and Junit to create and implement unit, automated and acceptance tests
Utilizing Splunk for searching and monitoring software application logs.

Responsibilities

Work closely with the product owners and development teams to design and implement scalable data pipelines for data ingestion and data feature creation.
Provide recommendations and insight on data management and ensure efficient functioning of data storage and process functions in compliance with company security policies.
Execute creative software solutions and responsible for designing, analyzing, and resolving infrastructure vulnerabilities and application deployment issues.
Optimize data pipelines for performance, scalability, efficiency, document data process, pipeline configurations, and non-functional requirements.
Data modeling concepts and techniques and analyze data to derive insights and inform decision making.
Guide team members to work on complex coding issues, project planning and system architecture.

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