Design and implement Redis and Gemfire caching architectures, including clustering, replication, sharding, eviction policies, and synchronization. Create high- and low-level architecture documentation, optimize for scalability and performance, automate tasks with scripting, and collaborate with developers to ensure reliable, high-performance cache integration.
Responsibilities
- Design data partitioning, caching strategies, and data models that utilize Redis and Gemfire effectively to enhance system performance and response times.
- Develop high-level and low-level architectural documentation, including diagrams, design patterns, and technical specifications.
- Implement Redis clustering, replication, and sharding strategies for high availability, data redundancy, and fault tolerance.
- Design and implement cache eviction policies, expiration times, and data synchronization mechanisms to ensure the cache remains efficient and up to date.
- Collaborate with developers to implement robust connection pooling, error handling, and optimized communication with Redis.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- Extensive hands-on experience with Redis, including clustering, replication, sharding, and cache design
- Strong understanding of data structures, algorithms, and distributed systems concepts and Big Data Solutions.
- Proficiency in designing for scalability, availability, and performance optimization.
- Proficiency in Gemfire caching technology.
- Hands-on experience with automation and scripting (Python, Bash, or PowerShell).
- Excellent communication and collaboration skills to work effectively with cross-functional teams.
- Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies is a plus.
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