| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Hong Kong, Hong Kong |
| |||
Okx | Remote | $143k - $214k | |||
Kraken | United States | $127k - $254k | |||
Bitmex | Remote | $117k - $130k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Alpaca | Remote | $105k - $109k | |||
Quicknode | Lisbon, Portugal | $66k - $97k | |||
Bcbgroup | Remote | $59k - $80k | |||
Bcbgroup | Remote | $59k - $80k | |||
Bcbgroup | Remote | $90k - $110k | |||
Zscaler | Remote | $126k - $131k | |||
Layerzerolabs | Remote | $86k - $110k | |||
Jumpcrypto | Remote | $150k - $200k | |||
Gsrmarkets | Remote | $84k - $150k | |||
Gsrmarkets | Remote | $80k - $100k | |||
Figment | Canada | $70k - $90k |
Data Infrastructure Backend Engineer, Fiat
Responsibilities
- Design, build, and maintain large-scale data infrastructure to support global fiat products, including on/off-ramp, payment channels, and compliance systems.
- Develop high-performance backend services using Java to support data ingestion, processing, storage, and real-time analytics.
- Own end-to-end data pipelines and internal platforms that enable monitoring, reporting, fraud detection, and operational insights for fiat transactions.
- Work with product, data, compliance, and risk teams to translate business needs into scalable system solutions.
- Optimize service performance, improve system reliability, and ensure data accuracy and consistency across distributed systems.
- Implement CI/CD, service observability (metrics, logs, tracing), and contribute to overall platform stability.
- Participate in technical design reviews, code reviews, and architecture discussions.
Requirements
- Solid backend engineering experience with strong proficiency in Java (Spring Boot / microservices).
- Hands-on experience building data infrastructure, including distributed data processing, data pipelines, and streaming systems.
- Familiarity with Kafka, Flink/Spark, Redis, MySQL/PostgreSQL, or other large-scale data storage and compute engines.
- Strong understanding of system performance, scalability, and reliability principles.
- Experience building services that support large volumes of financial or transactional data is a strong plus.
- Comfortable working in fast-paced, high-ownership environments; able to take projects from design to production independently.
- Experience with Web3/crypto or payments/fiat systems is a plus, but not mandatory.
- Good communication skills and ability to collaborate across engineering, product, and operations teams.
- Experience with big data technologies (Flink, Spark, ClickHouse, Elasticsearch, etc.)
- Understanding of financial data models, reconciliation, fraud signals, or compliance data flows.
- Familiarity with cloud-native infrastructure (Kubernetes, Docker).
Is Kubernetes high demand?
Yes, Kubernetes is currently in high demand in the technology industry
Kubernetes is an open-source container orchestration platform that is widely used for deploying, scaling, and managing containerized applications
It provides a standardized way to manage and automate the deployment of containerized applications across multiple hosts and provides benefits such as reliability, scalability, and flexibility
As more and more organizations move towards containerized architectures, Kubernetes has become a critical component of their infrastructure
Kubernetes is used by companies of all sizes, from startups to large enterprises, and across various industries, including finance, healthcare, and e-commerce
According to various job market and salary surveys, Kubernetes-related skills are in high demand, and job positions related to Kubernetes are growing at a rapid pace
In fact, Kubernetes is often listed as one of the top skills that are in high demand by technology companies
Overall, Kubernetes is a highly sought-after skill in the technology industry, and it's likely to remain in high demand in the foreseeable future as more and more organizations adopt containerization and cloud-native architectures.