Onsite Principal Software Engineer

Insight Global
Milford Mill, MD, United States
28 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$145,600.0 - $176,800.0
Working hours
Regular working hours
Job source

Tech stack

HTML Java (Programming Language) JavaScript (Programming Language) Ajax (Programming Language) Unit Testing Behavior-Driven Development Cascading Style Sheets (CSS) Computer Programming Java Platform Enterprise Edition (J2EE) Fault Tolerance Graphical User Interface Design of User Interfaces
+18 more
JQuery Javaserver Pages Junit Node.Js Data Streaming Systems Integration Web Applications Extensible Markup Language (XML) Test-Driven Development (TDD) Data Ingestion ReactJS Spring-boot Event Driven Architecture AngularJS Information Technology Apache Kafka Stream Processing Cucumber (Software)

Job description

· Design and develop software applications using Twelve-Factor App methodology from functional requirements.

· Develop highly innovative UI design, Web components, achieved through collaboration and dialogue with other experts in the field. The candidate will continually assess advancements in technologies to gauge and recommend better solutions for the customer to improve the software developer experience and efficient delivery of software.

· Implementation of Graphical User Interface (GUI) using the presentation tier technologies such as AngularJS, ReactJS, Node JS, Type Script, JavaScript, JSP, HTML, CSS, XML, AJAX, and jQuery,.

Requirements

· Bachelor’s Degree in Computer Science, Mathematics, Engineering or a related field.

· Masters or Doctorate degree may substitute for required experience

· 10+ years of experience with Java, Spring Boot, Angular, React.

Extensive Design and Programming skills in Java and JEE technologies.

Experience with Automated unit test (i.e. JUnit, Mocking frameworks), Test Driven Development (TDD), and Behavior-driven development (BDD) (Cucumber) Proficient in designing and implementing Kafka-based event-driven architectures, including the use of Kafka producers, consumers, topics, partitions, and consumer groups for scalable and fault-tolerant data streaming. Experienced in configuring Kafka brokers, managing message retention policies, and optimizing throughput with appropriate replication and partitioning strategies. Familiar with integrating Kafka Connect for data ingestion, utilizing Kafka Streams for real-time data processing, and monitoring Kafka clusters for performance and reliability.

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