Posted:2 weeks ago| Platform: Foundit logo

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Job Description

Company Description

Client is a 500+ Crore organization is a rapidly growing firm headquartered and based in Mumbai. The organization has been nurtured for over 34 years by Mr. Mohammed Sutarwala, a post-graduate from the University of Texas at Austin, USA. Swanis a successful IT Infrastructure service provider, offering IT hardware and networking solutions to many BFSI , PSU & SMB and Corporate houses on Servers, Blades, Peripherals, Networks & Cloud. The company has partnered with HP, Cisco, Microsoft, VMWare, and NetApp.

Role Description

About the Role : We're seeking an experienced Database Administrator/Engineer proficient in distributed, in?memory NoSQL caching/datagrid technologiesespecially Apache Geode (GemFire). Candidate will design, implement, manage, and optimize high?throughput, low?latency caching layers that support backend SQL databases.

A deep understanding of ACID (Atomicity, Consistency, Isolation, Durability) principles in distributed contexts is essential. If your background is stronger in Redis, Memcached, Hazelcast, Apache Ignite, Couchbase, Ehcache, or Aerospike, your skills can be transferable.

Please go thru the requirement mentioned below :

Designation -

No. of Position -

Exp -

Budget -

Certifications :

Position: Senior GemFire Engineer (L3)

Job Summary : Weare seeking an experienced and certified GemFire Engineer with a strong background in distributed caching systems, in-memory data grids, and real-time data processing. The ideal candidate will have hands-on expertise in VMware Tanzu GemFire (formerly Pivotal GemFire) and a proven track record of designing, implementing, and managing large-scale, high-availability, and low-latency systems.

Key Responsibilities:-

  • Architect and manage in?memory NoSQL caching solutions using Apache Geode (GemFire).
  • Ensure strong data integrity via ACID-compliant transactional supporttwo?phase commit, repeatable?read consistency, read?committed isolation, etc.
  • Integrate cache layer with backend SQL databases: synchronization, cache invalidation, write?through/write?behind strategies.
  • Develop client?side or server?side logic: interceptors, listeners, compute-grid tasks, continuous queries, etc.
  • Monitor, tune, and troubleshoot cache performance, latency, memory usage, GC behavior, and cluster health.
  • Design high?availability, horizontally scalable cache clusters with partitioning, replication, failover, and locator services.
  • Implement security, access control, and authentication (e.g., via REST, Java, CLI interfaces).
  • Create operational tools for deployment, automated scaling, rolling upgrades, and disaster recovery.
  • Collaborate with application, backend, and devops teams to align caching strategies with business needs.
  • Mentor peers and drive best practices in distributed caching, data consistency, and performance optimization.

Required Qualifications:

  • Proven hands?on experience with Apache Geodeor Pivotal GemFire, including cluster setup, locators, partitioned/replicated region configuration, and transactional operations. Familiarity with cluster discovery mechanisms and client?server topologies.
  • Deep understanding of ACID (Atomicity Consistency Isolation Durability)concepts in distributed caching/DataGrid systems.
  • Strong Java skills (Java is primary interface for Geode; familiarity with APIs, interceptors, compute tasks)
  • Knowledge of distributed systems fundamentals: consensus, partitioning, fault tolerance.

Preferred Soft Skills :

Strong analytical and problem-solving skills

Excellent communication and stakeholder management

Ability to work independently and within a team

Strong documentation and technical presentation skills

Qualification:Any IT Graduate

Job Location: CBD Belapur, (At Client Site : Navi Mumbai)

Total Experience: 8+ years in IT and relevant : min. 05 years on Gemfire.

Salary:As per industry standards.

Industry:IT

Employment Type:Full Time, Permanent.

Certifications :

Any other relevant certifications in cloud, containers, or distributed systems will be an added advantage

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