**Critical requirement:** work only from the
Significant Java development experience
Commercial experience with a JVM
Experience with cloud services (AWS or/and GCP)
Experience in RDBMS and NoSQL databases
Experience with concurrency and multi-threading
Production Kubernetes experience
Production GraphQL experience
Hands-on experience with creating and maintaining tests within a CI pipeline
Google Cloud expertise (GKE, Compute Engine, BigQuery, Cloud Build)
Experience with data transformation technologies such as Dataflow or Spark as a plus
Node.js and TypeScript experience as a plus
SPsoft is looking for a superhero Java Developer who is keen to become a part of a Dream Project team for a Dream Client.
We offer a top salary and interesting project in the Digital Banking industry for the fast-growing and well-funded client.
Life is too short to be wasted to ordinary bs, think again and apply!
— Design and build microservices that discover and manage gRPC endpoints for automatic generation of client libraries. Said microservices enable mission-critical functionality, including customer identity verification, record ledger modifications, and performing transaction decisions on the fly.
— In-depth cooperation with the customer’s in-house team to deliver new service templates to support varying service patterns.
— Design and implement scripts and tools to enable multi-threading and scale existing Google Cloud infrastructure.
— Configure and deploy Datadog monitoring to meet performance SLOs.
Our client is a leading US digital bank and one of the fastest-growing fintech companies with 2+ million customers. Their custom-built banking technology provides greater stability of transactions along with faster money transfer and cost-efficiency. Their mission is to bring premium financial services to everyone to improve their financial journeys.
The client’s applications run on Google Cloud Kubernetes, which can scale to handle dozens of millions of transactions per day. Their services are written with Java tech stack, TypeScript and Node.js, using MongoDB, PostgreSQL and Neo4j databases.