Backend Infrastructure & Data Engineer

You will build and scale the backbone of the data platform. Design, develop, and maintain high-performance data pipelines, warehouses, reporting systems, ETL, and real-time streaming architectures. Own cloud infrastructure and production environments, solve data-quality and workflow challenges, and keep large-scale blockchain data systems reliable and optimized.

Responsibilities

• Design, develop, and maintain high-performance data pipelines, warehouses, and reporting systems
• Build scalable ETL and real-time streaming architectures
• Own and evolve cloud infrastructure and production environments
• Contribute throughout the engineering lifecycle from planning through delivery
• Solve data quality, infrastructure, and workflow challenges
• Keep production systems healthy, reliable, and scalable
• Optimize systems to handle large volumes of blockchain data

Requirements

• Bachelor's degree in Computer Science or equivalent experience
• 7+ years of software development experience with strong Python skills
• Experience building and maintaining cloud infrastructure
• Hands-on Kubernetes deployment, management, and troubleshooting experience
• Experience with Infrastructure as Code, such as Terraform, CloudFormation, or Pulumi
• Strong SQL skills and experience with databases at scale
• Experience with CI/CD practices and deployment pipelines
• Familiarity with data pipelines, big data, and streaming technologies, such as Kafka, Kinesis, Spark, or Flink
• Strong debugging and problem-solving skills across application and infrastructure layers
• Experience with monitoring and observability tools, such as Prometheus, OpenTelemetry, and Grafana
• Previous experience in a fast-paced startup environment
• Strong communication and teamwork skills