Golang Expert System Architect

2 days ago


Irvine, California, United States JobRialto Full time
Job Description

We are seeking a skilled Real-Time Data Processing Engineer to build and enhance scalable backend systems using Golang. This role involves migrating batch processing systems to real-time streaming architectures and developing robust data pipelines using Kafka or other streaming technologies. As a Real-Time Data Processing Engineer, you will work closely with other engineers, product teams, and stakeholders to deliver robust and scalable solutions.

Key Responsibilities:
  • Develop and implement real-time streaming architectures using Golang.
  • Collaborate with cross-functional teams to convert legacy batch processing systems into real-time streaming architectures.
  • Implement, manage, and optimize data pipelines utilizing Kafka or other streaming technologies.
  • Work with PostgreSQL to ensure high performance and reliability for data storage and access.
  • Design, implement, and optimize GraphQL APIs for seamless data access and integration.
  • Evaluate AWS services like Lambda, Fargate, SQS/SNS, and DynamoDB for optimization opportunities.

Estimated Salary: $130,000 - $190,000 per year

Required Qualifications:
  • Golang Expertise: Strong proficiency in Golang with proven experience in building and maintaining backend systems.
  • Real-Time Streaming: Hands-on experience with Kafka or other real-time streaming technologies.
  • Database Management: Experience with PostgreSQL and solid knowledge of data modeling and best practices in database design.
  • GraphQL: Familiarity with GraphQL or similar web API frameworks.
  • DevOps: Proficiency in CI/CD processes, cloud infrastructure (AWS), and containerization tools such as Docker and Kubernetes.
  • AWS Experience: Familiarity with AWS services like Lambda, Fargate, SQS/SNS, and DynamoDB.

Preferred Qualifications:
  • Graph Databases: Familiarity with AWS Neptune or other graph databases.
  • Microservices Architecture: Experience working with microservices architecture and distributed systems.
  • Cloud Infrastructure: Experience with cloud infrastructure and deployment, particularly within AWS.


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