Enterprise infrastructure distributed systems (GemFire)
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Job Location:
Louisville, KY - USA
Monthly Salary:
Not Disclosed
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
Enterprise infrastructure / distributed systems (GemFire)
Location: LOUISVILLE
Duration: 6 months
Must Have Technical/Functional Skills
Primary responsibilities:
Lead architecture design and implementation of GemFire data grid solutions.
Build resilient distributed systems that support high-volume read/write workloads.
Integrate GemFire with streaming microservices analytics and backend systems.
Define capacity planning deployment patterns failover strategies.
Provide technical leadership and mentoring to developers and engineers.
Drive coding standards code reviews automated testing.
Troubleshoot performance latency partitioning and replication issues.
Collaborate with cross-functional teams (Dev Ops QA Infra).
Participate in architecture reviews POCs and technology evaluations.
Document operational runbooks diagrams and support procedures.
Define and implement Redis architecture patterns (standalone cluster sentinel)
Lead design decisions around caching session stores message queues lock mechanisms
Drive data modeling and TTL strategy for efficient memory usage
Optimize Redis performance for read/write heavy workloads
Automate deployments and scaling behavior
Work with software teams to embed Redis into application stacks
Establish monitoring alerting and capacity thresholds
Troubleshoot latency eviction policies persistence concerns
Primary Skillsets: 8 years of experience in enterprise infrastructure / distributed systems 3 years in GemFire / Apache Geode design and production operations Strong Java concurrency threading GC networking fundamentals Solid knowledge of clustering partitioning replication models Experience with CI/CD automation infrastructure as code Familiar with microservices REST APIs event streaming Exposure to monitoring tools (Prometheus Grafana etc.) Excellent troubleshooting and performance optimization skills Proficient with Linux networking scripting for automation Experience with Redis cluster mode and sentinel Secondary Skillsets: Kubernetes Docker container orchestration Familiarity with Spark Kafka distributed caching patterns Experience with other IMDGs (Hazelcast Coherence) Cloud deployments (AWS GCP Azure) Experience in alternative in-memory solutions (Memcached Hazelcast) Knowledge of cloud managed Redis (AWS ElastiCache Azure Cache) Familiarity with event streaming (Kafka Pulsar) Kubernetes/containers and orchestration Preferred Certifications: Any one from AWSGCP Azure
Roles & Responsibilities
Lead architecture design and implementation of GemFire data grid solutions.
Build resilient distributed systems that support high-volume read/write workloads.
Integrate GemFire with streaming microservices analytics and backend systems.
Define capacity planning deployment patterns failover strategies.
Provide technical leadership and mentoring to developers and engineers.
Drive coding standards code reviews automated testing.
Troubleshoot performance latency partitioning and replication issues.
Collaborate with cross-functional teams (Dev Ops QA Infra).
Participate in architecture reviews POCs and technology evaluations.
Document operational runbooks diagrams and support procedures.
Define and implement Redis architecture patterns (standalone cluster sentinel)
Lead design decisions around caching session stores message queues lock mechanisms
Drive data modeling and TTL strategy for efficient memory usage
Optimize Redis performance for read/write heavy workloads
Automate deployments and scaling behavior Work with software teams to embed Redis into application stacks Establish monitoring alerting and capacity thresholds Troubleshoot latency eviction policies persistence concerns
Role Descriptions: Gemfire and REDIs Lead
Essential Skills: Gemfire and REDIs Lead
Desirable Skills:
Keyword:
Skills: Master Data Management
Experience Required: 8-10
Location: LOUISVILLE
Duration: 6 months
Must Have Technical/Functional Skills
Primary responsibilities:
Lead architecture design and implementation of GemFire data grid solutions.
Build resilient distributed systems that support high-volume read/write workloads.
Integrate GemFire with streaming microservices analytics and backend systems.
Define capacity planning deployment patterns failover strategies.
Provide technical leadership and mentoring to developers and engineers.
Drive coding standards code reviews automated testing.
Troubleshoot performance latency partitioning and replication issues.
Collaborate with cross-functional teams (Dev Ops QA Infra).
Participate in architecture reviews POCs and technology evaluations.
Document operational runbooks diagrams and support procedures.
Define and implement Redis architecture patterns (standalone cluster sentinel)
Lead design decisions around caching session stores message queues lock mechanisms
Drive data modeling and TTL strategy for efficient memory usage
Optimize Redis performance for read/write heavy workloads
Automate deployments and scaling behavior
Work with software teams to embed Redis into application stacks
Establish monitoring alerting and capacity thresholds
Troubleshoot latency eviction policies persistence concerns
Primary Skillsets: 8 years of experience in enterprise infrastructure / distributed systems 3 years in GemFire / Apache Geode design and production operations Strong Java concurrency threading GC networking fundamentals Solid knowledge of clustering partitioning replication models Experience with CI/CD automation infrastructure as code Familiar with microservices REST APIs event streaming Exposure to monitoring tools (Prometheus Grafana etc.) Excellent troubleshooting and performance optimization skills Proficient with Linux networking scripting for automation Experience with Redis cluster mode and sentinel Secondary Skillsets: Kubernetes Docker container orchestration Familiarity with Spark Kafka distributed caching patterns Experience with other IMDGs (Hazelcast Coherence) Cloud deployments (AWS GCP Azure) Experience in alternative in-memory solutions (Memcached Hazelcast) Knowledge of cloud managed Redis (AWS ElastiCache Azure Cache) Familiarity with event streaming (Kafka Pulsar) Kubernetes/containers and orchestration Preferred Certifications: Any one from AWSGCP Azure
Roles & Responsibilities
Lead architecture design and implementation of GemFire data grid solutions.
Build resilient distributed systems that support high-volume read/write workloads.
Integrate GemFire with streaming microservices analytics and backend systems.
Define capacity planning deployment patterns failover strategies.
Provide technical leadership and mentoring to developers and engineers.
Drive coding standards code reviews automated testing.
Troubleshoot performance latency partitioning and replication issues.
Collaborate with cross-functional teams (Dev Ops QA Infra).
Participate in architecture reviews POCs and technology evaluations.
Document operational runbooks diagrams and support procedures.
Define and implement Redis architecture patterns (standalone cluster sentinel)
Lead design decisions around caching session stores message queues lock mechanisms
Drive data modeling and TTL strategy for efficient memory usage
Optimize Redis performance for read/write heavy workloads
Automate deployments and scaling behavior Work with software teams to embed Redis into application stacks Establish monitoring alerting and capacity thresholds Troubleshoot latency eviction policies persistence concerns
Role Descriptions: Gemfire and REDIs Lead
Essential Skills: Gemfire and REDIs Lead
Desirable Skills:
Keyword:
Skills: Master Data Management
Experience Required: 8-10
Key Skills
- SAP BusinessObjects
- Enterprise Architecture
- Hybris
- SAP HANA
- SAP
- TOGAF
- Solution Architecture
- Cloud Architecture
- SAP BW 4HANA
- Salesforce
- SAP S/4HANA
- SAP ERP
