9 часов назад
Staff Engineer – Java (Distributed Systems)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Engineer – Java (Distributed Systems): Building scalable, high-performance backend components for the S3 Data Service platform with an accent on Java, Spring, microservices, and distributed storage systems. Focus on designing fault-tolerant architectures, troubleshooting issues across application and infrastructure layers, and improving performance, scalability, and reliability.
Location: On-site at the Pune office, India
Company
develops the EXA Data Services product line, including S3 Data Service and related storage platforms.
What you will do
- Design and develop scalable, high-performance components for the S3 Data Service platform.
- Build maintainable backend services using Java and Spring.
- Participate in architecture discussions and make technical design decisions.
- Collaborate with product management, QA, DevOps, and L3 support teams.
- Improve system performance, scalability, reliability, and engineering standards.
- Troubleshoot complex issues across application, infrastructure, and distributed-system layers.
Requirements
- 10–14 years of software development experience with strong Java expertise.
- Hands-on experience with Spring Core, Spring Boot, Spring Data, REST APIs, and microservices architectures.
- Strong understanding of system design, architecture patterns, distributed systems, fault tolerance, and data consistency.
- Experience with Cassandra, Hadoop, Elasticsearch, S3 object storage, or related storage technologies.
- Strong knowledge of Linux systems, networking, and infrastructure-level debugging.
- Experience with Maven or similar build systems and the ability to analyze complex problems.
Nice to have
- Python scripting experience.
- Familiarity with Docker, Podman, or Kubernetes.
- Experience with CI/CD pipelines and DevOps practices.
- Exposure to distributed file systems or high-availability storage solutions.
- Understanding of security and fault-tolerant architectures.
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