Remote Software Engineer Kafka and MongoDB

Overview

Job Description

• Experience:
  
  Relevant professional experience in software development, with specific hands-on experience in Java, Spring Boot, AWS, Kafka and with the Mongo
  
  DB Atlas platform and Mongo
  
  DB connectors
• Programming
  
  Languages:
  
  Strong proficiency in Java and object-oriented programming (OOP) principles.
• Frameworks & Tools:
  • Java Ecosystem:
    Expertise in Spring and Spring Boot frameworks, Hibernate/JPA, and build tools like Maven or Gradle.
  • Cloud:
    Hands-on experience with AWS services, including AWS Lambda, EC2, S3, and RDS. Also knowledge around networking required for integrations.
  • Messaging:
    Experience with Apache Kafka and event-driven design patterns.
  • Dev Ops:
    Familiarity with Git Hub 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.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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• 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 Mongo
  
  DB connectors).
• Collaboration:
  
  Collaborate with cross-functional teams, including QA, Dev Ops, 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 Dev Ops practices to automate deployment and monitor application performance and reliability using tools like Git Hub Actions, Jenkins, AWS Code Pipeline, and Amazon Cloud Watch.
• Troubleshooting:
  Monitor system health and troubleshoot issues to ensure minimal downtime and optimal performance