Full Stack Engineer

Job Summary

We are looking for a Full Stack Engineer to join the Domain Events Platform team within an enterprise technology organization.

This team is responsible for building and maintaining scalable, distributed, cloud-based event-driven platforms.

The ideal candidate is passionate about developing innovative big data solutions, thrives in a collaborative and fast-paced environment, and is eager to learn and apply cutting-edge technologies.

Key Responsibilities

• Build and maintain event-driven big data applications and platforms.
• Design and develop scalable microservices and data APIs.
• Develop frontend applications using Angular or React.
• Implement event processing solutions using Kafka, Kinesis, and similar technologies.
• Work with relational and NoSQL databases such as DynamoDB, Elasticsearch, and Graph DB.
• Utilize cloud technologies across AWS, Azure, or Google Cloud.
• Collaborate with cross-functional teams to deliver secure, reliable, and high-performing applications.
• Participate in solution design, mentor team members, and contribute to technical innovation.
• Implement CI/CD pipelines and promote automation practices.
• Support mission-critical applications and resolve technical roadblocks.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Strong understanding of microservices architecture and software design.
• Experience building data platforms and capabilities in the cloud.
• Proficiency in object-oriented programming using Java, Scala, or Python.
• Hands-on experience with:
• Messaging technologies (Kafka, Kinesis, SNS, SQS)
• Stream processing (Flink, Spark, Kinesis Analytics)
• Data movement and ETL/ELT tools
• REST APIs and in-memory data stores
• Experience with frontend frameworks like Angular or React.
• Deep knowledge of AWS services and open-source technologies.
• Familiarity with DevOps tools such as Maven, Jenkins, Ansible, Docker.
• Excellent communication and collaboration skills.
• Ability to work in an Agile environment (Kanban or Scrum).
• Strong problem-solving abilities with a focus on innovation.

Preferred Qualifications

• Experience mentoring teams and driving technical excellence.
• Exposure to big data ecosystem implementation and architecture.
• Strong passion for learning emerging technologies and business domains.

Education: Bachelors Degree