Hashgraph is a fast-growing software company committed to supporting, developing and servicing Hedera, an open source, proof-of-stake platform. Hedera is EVM-compatible and has been specifically built to meet the needs of enterprise and Web3 applications, which require speed, security, stability and sustainability. Hedera’s public network is governed by industry-leading organizations, spanning 11 sectors and 14 regions who oversee the development and direction of the decentralized platform.
About the role:
As a member of the Mirror Node Team, you are a backend developer fluent in APIs and relational databases. You are responsible for offloading queries and transaction history from consensus nodes by indexing an ever-increasing amount of data. The Mirror Node Team continually adds features that deliver for Hedera and the community while increasing scalability, reliability, and minimizing costs. You enjoy the challenge of optimizing queries and data structures to efficiently scale to hundreds of terabytes of historical data.
You may find yourself doing all of the following:
Being responsible for the entire application lifecycle from design, implementation, testing, and deployment to day two operations
Deploying APIs using gRPC, GraphQL, and REST
Identifying and eliminating query bottlenecks
Innovating, designing, implementing, and testing new approaches to improve speed and scalability
Rotating release manager responsibilities via a GitOps-based deployment model
Qualification Requirements:
4+ years in Java
3+ years in relational databases (preferably PostgreSQL)
1+ years in Kubernetes
REST APIs
Spring Boot & DataData structures
Strong problem-solving and reasoning skills
Strong communication skills
Collaborative mindset
Adaptability
Commitment to continuous learning and improvement
Other skills that are great to bring with you but that we can help you develop:
Blockchain technology or DLT
Distributed systems
GitOps
GraphQL
gRPC and Protobuf design
LGTM monitoring stack
Sharded databases (Citus, Spanner, Vitess, Cassandra, etc.)
Experience scaling systems to hundreds of terabytes