Note: The job is a remote job and is open to candidates in USA. The company is a software development firm transforming how businesses synchronize and use customer data across platforms, with a focus on B2B and AI solutions. The Software Engineer will design, implement, and optimize scalable distributed backend systems, using technologies such as Kafka, Kubernetes, Docker, and Spark to support real-time data processing and integration.

Responsibilities

• Design and implement robust backend systems to synchronize customer data from warehouses into key business tools
• Utilize Kafka for real-time data streaming and processing, ensuring seamless data flow across applications
• Deploy and manage containerized applications using Kubernetes and Docker for enhanced scalability and reliability
• Optimize data processing workflows with Spark, improving performance and reducing latency in data handling
• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications for system enhancements
• Participate in code reviews and contribute to best practices in software development and architecture

Skills

• 7+ years of experience in backend engineering, with a strong focus on distributed systems
• Proficiency in Kafka, Kubernetes, Docker, and Spark, with hands-on experience in implementing these technologies in production environments
• Demonstrated ability to design and develop scalable systems that handle large volumes of data
• Strong problem-solving skills and the ability to work collaboratively in a fast-paced, remote environment
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their services related to data processing and storage
• Familiarity with CI/CD pipelines and DevOps practices to streamline deployment processes
• Knowledge of data warehousing concepts and tools

Benefits

• Competitive equity options
• A dynamic work environment that fosters innovation and career growth
• Remote work environment

Company Overview