Performance Architect

McKinsol Consulting Inc
San Francisco, CA, United States
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Amazon Web Services Application Performance Management Microsoft Azure Cloud Engineering Databases Continuous Integration DevOps Distributed Systems Monitoring of Systems HP Loadrunner Apache JMeter
+15 more
Load Testing Standard Sql Google Cloud Enterprise Software Applications Performance Testing Grafana Database Optimization Gatling Kubernetes Information Technology Splunk New Relic (SaaS) Appdynamics Dynatrace Microservices

Job description

Independently own and deliver end-to-end performance testing including scripting, execution, analysis, and reporting Roles & Responsibilities Key Responsibilities Review application and solution architectures to ensure scalability and performance requirements are met. Establish performance goals, KPIs, and Service Level Objectives (SLOs). Performance Engineering Develop test plans, scripts, and automation frameworks for performance testing. Performance Analysis & Optimization Conduct root cause analysis for performance issues across application, database, network, and cloud layers. Optimize APIs, microservices, databases, and distributed systems. Monitor system performance and create dashboards for ongoing visibility. Cloud & DevOps Integration Support performance engineering initiatives across Azure, AWS, or Google Cloud Platform environments. Drive observability practices using monitoring and Application Performance Monitoring (APM) tools. Leadership & Governance Mentor engineers on performance engineering principles and tools. Lead performance reviews and capacity planning exercises. Define governance processes, standards, and reporting mechanisms. Act as the subject matter expert for performance architecture and optimization.

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field. Strong understanding of distributed systems, cloud platforms, and enterprise application architectures. Experience with performance testing tools such as: JMeter LoadRunner Gatling Azure Load Testing Knowledge of APM and observability tools: Azure Application Insights Dynatrace AppDynamics New Relic Splunk Strong SQL and database performance tuning experience. Experience with CI/CD platforms and DevOps practices. Preferred Qualifications Knowledge of microservices, Kubernetes, containers, and cloud-native architectures. Azure, AWS, or Google Cloud certifications. Performance engineering or architecture certifications. Generic Managerial Skills, If any Ability to lead and ment

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