Lead Software Engineer [Multiple Positions Available]

DESCRIPTION:

Duties: Develop and manage complex web and enterprise applications using Java, J2EE, Scala, and Python, focusing on designing solutions and building reusable SDKs for efficiency.

Deploy and manage applications in cloud environments using AWS services (ALB, NLB, IAM, EMR, EKS, Lambda) to ensure scalability, security, and performance.

Utilize Terraform for automating and managing cloud resources.

Design and implement data ingestion processes to migrate on-premises data to public cloud storage.

Build distributed architecture systems for seamless data transfer and transformation, incorporating validations and custom logic using Spark, Scala, Python, and Java.

Architect a centralized control plane for workload allocation to stateless applications, incorporating validation mechanisms, addressing data transfer failures, and implementing secure authentication with JPMC services.

Manage data pipelines using Apache Airflow.

Implement microservice architecture systems and utilize Docker and Kubernetes for building images and orchestrating containers, ensuring efficient deployment and management across various environments.

Develop applications using distributed streaming platforms like Kafka and in-memory data structures like Redis.

Manage data workflows and transformations with AWS Glue and Athena.

Enable teams to consume data from external vendors, ensuring proper authentication, security controls, and restrictions to protect data integrity and confidentiality.

QUALIFICATIONS:

Minimum education and experience required: Bachelor's degree in Computer Science, Computer Engineering, or related field of study plus 7 years of experience in the job offered or as Software Engineer, IT Consultant, or related occupation.

Skills Required: This position requires experience with the following: Developing Java/J2EE and Python applications; Working with object-oriented analysis and design patterns to build robust software, by structuring code with objects and classes, which ensures reusability and scalability and assists in planning better for developing object oriented applications with good and reliable design practices; Testing with unit testing frameworks such as JUNIT, Mockito, SpringBoot Test, or Py Test to create unit test cases and execute them to ensure methods and processes are implemented and working according to specifications; Working with data governance domains to ensure data management, quality, security, and compliance; Building development frameworks including Spark, Spring, SpringBoot, and Apache Camel for building multi-tier, distributed microservice applications; Building data pipelines using AWS Services which includes AWS Glue, Lake Formation, and Lambdas; Using RDBMS tools including Oracle, MySQL, or AWS services such as RDS; Working with NoSQL databases including MongoDB and DynamoDB and utilizing query engines such as Athena; Working with rules engines such as Drools; Building UI/UX applications using Angular and React Frame...