Backend Infrastructure & Data Engineer
Hypernative detects web3 security threats in real-time across multiple blockchains and automates protective responses to prevent damage before it occurs.
Projects
About Hypernative
Hypernative monitors blockchain activity to detect and block threats through real-time analysis. The platform identifies over 200 risk types including contract exploits, frontend compromises, and private key theft. With automated protective actions including pausing contracts and moving funds, Hypernative helps protocols, asset managers, and exchanges maintain operations during attack attempts while safeguarding digital assets.
Skills
About the Role
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.
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
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