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Performance Engineer (Onsite from day 1)

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Position: Performance Engineer
Duration: 12+ months contract
Location: Phoenix, AZ (Onsite from day#1)

JOB DESCRIPTION

SKILLS NEEDED :

Java / Spring boot (Must).
Strong Performance tuning & code optimization experience (Must have).
Experience enabling performance tests as part of the CI pipeline (Must have)
Experience with tools like JMeter & K6 (Must)
Mock framework development experience (Jmock Mockito etc)
Experience with building performance dashboards (Dynatrace Splunk Prometheus Grafana etc.) (Must have)
Kafka experience.
Performance Optimization.
Code Optimization Identifying inefficient code (e.g., redundant loops, unnecessary DB calls).
Query Optimization Tuning SQL and NoSQL queries for better performance.
Caching Strategies Using Redis, Memcached, or in-memory caching to reduce DB calls.
Concurrency & Parallelism Efficient multi-threading and asynchronous processing.
Infrastructure & Scalability.
Cloud Performance Optimization Tuning AWS/Google Cloud Platform/Azure resources (autoscaling, instance types).
Kubernetes/OpenShift Performance Pod scaling, resource requests/limits, and node performance.
Database Performance Tuning Indexing, sharding, partitioning strategies.
Soft Skills & Best Practices.
Root Cause Analysis (RCA) Systematic troubleshooting of performance issues.
Collaboration with Dev, Ops, and QA Communicating findings and solutions.
CI/CD Integration Embedding performance tests in Jenkins, GitHub Actions, or GitLab CI."

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job

Position: Performance Engineer
Duration: 12+ months contract
Location: Phoenix, AZ (Onsite from day#1)

JOB DESCRIPTION

SKILLS NEEDED :

Java / Spring boot (Must).
Strong Performance tuning & code optimization experience (Must have).
Experience enabling performance tests as part of the CI pipeline (Must have)
Experience with tools like JMeter & K6 (Must)
Mock framework development experience (Jmock Mockito etc)
Experience with building performance dashboards (Dynatrace Splunk Prometheus Grafana etc.) (Must have)
Kafka experience.
Performance Optimization.
Code Optimization Identifying inefficient code (e.g., redundant loops, unnecessary DB calls).
Query Optimization Tuning SQL and NoSQL queries for better performance.
Caching Strategies Using Redis, Memcached, or in-memory caching to reduce DB calls.
Concurrency & Parallelism Efficient multi-threading and asynchronous processing.
Infrastructure & Scalability.
Cloud Performance Optimization Tuning AWS/Google Cloud Platform/Azure resources (autoscaling, instance types).
Kubernetes/OpenShift Performance Pod scaling, resource requests/limits, and node performance.
Database Performance Tuning Indexing, sharding, partitioning strategies.
Soft Skills & Best Practices.
Root Cause Analysis (RCA) Systematic troubleshooting of performance issues.
Collaboration with Dev, Ops, and QA Communicating findings and solutions.
CI/CD Integration Embedding performance tests in Jenkins, GitHub Actions, or GitLab CI."

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job