Remote Software Engineer with Kafka and MongoDB

Insight Global
Hartford, United States of America
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Hartford, United States of America

Tech stack

Java
API
Agile Methodologies
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Application Performance Management
Cloud Computing
Software Quality
Code Review
Continuous Integration
DevOps
Github
Gradle
Monitoring of Systems
Hibernate
Java Persistence API
Maven
MongoDB
Amazon Web Services (AWS)
Software Engineering
Data Streaming
Systems Architecture
Delivery Pipeline
Spring-boot
AWS Lambda
GIT
Event Driven Architecture
Amazon Web Services (AWS)
Information Technology
Deployment Automation
Kafka
Build Tools
Cloud Integration
Cloudwatch
Amazon Web Services (AWS)
Data Pipelines
Jenkins
Programming Languages
Microservices

Job description

  • Design and Development: Design, develop, and maintain secure, high-quality, and scalable software applications using Java, Spring Boot, and microservices architecture.

  • Cloud Integration: Leverage and integrate various AWS services (such as AWS Lambda, EC2, S3, RDS, SQS, SNS) to build cloud-native solutions and manage infrastructure.

  • Event Streaming: Implement and manage real-time data pipelines and event-driven systems using Apache Kafka (producers, consumers, streams, Connect APIs & using Kafka MongoDB connectors ).

  • Collaboration: Collaborate with cross-functional teams, including QA, DevOps, and product teams, to define system architecture, gather requirements, and deliver high-quality solutions.

  • Testing and Quality: Ensure software quality and security through best practices, participate in code reviews, and develop and maintain automated unit and integration tests.

  • Deployment and Operations: Utilize CI/CD pipelines and DevOps practices to automate deployment and monitor application performance and reliability using tools like GitHub Actions, Jenkins, AWS Code Pipeline, and Amazon CloudWatch.

  • Troubleshooting: Monitor system health and troubleshoot issues to ensure minimal downtime and optimal performance

Requirements

  • Experience: Relevant professional experience in software development, with specific hands-on experience in Java, Spring Boot, AWS, Kafka and with the MongoDB Atlas platform and MongoDB connectors

  • Programming Languages: Strong proficiency in Java and object-oriented programming (OOP) principles.

  • Frameworks & Tools:

o Java Ecosystem: Expertise in Spring and Spring Boot frameworks, Hibernate/JPA, and build tools like Maven or Gradle.

o Cloud: Hands-on experience with AWS services, including AWS Lambda, EC2, S3, and RDS. Also knowledge around networking required for integrations.

o Messaging: Experience with Apache Kafka and event-driven design patterns.

o DevOps: Familiarity with GitHub Actions, CI/CD toolsets (e.g., Jenkins), Git for version control, and monitoring tools.

  • Soft Skills: Strong problem-solving, analytical, and communication skills, with the ability to work effectively in a team environment following Agile methodologies

  • Education: A Bachelor's degree in Computer Science, Engineering, or a related field is typically required.

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