Performance Architect - C2C

Description

Mandatory Areas

Must Have Skills

• Skill 1 System Performance Analysis
• Skill 2 Performance Testing & Benchmarking (JMeter, Gatling, LoadRunner, or k6)
• Skill 3 Scalability Planning and Implementation
• Skill 4 Cloud-Based Performance Solutions (AWS, Azure, Google Cloud Platform)
• Skill 5 Architecture Optimization for Throughput and Responsiveness
• Skill 6 Cost Optimization Strategies in Cloud Environments
• Skill 7 Production Triage & Incident Handling (Performance/Availability issues)
• Skill 8 Cross-Functional Collaboration and Data-Driven Decision Making

Domain Experience (If any)

• Experience in Enterprise Systems, Cloud-Native Architectures, and Distributed Systems.
• Preferred domain: Finance, Telecom, or Healthcare (where performance and scalability are mission-critical).

Must Have Certifications

• Preferred:
• AWS Certified Solutions Architect (Associate/Professional)
• Google Cloud Professional Cloud Architect
• Certified Kubernetes Administrator (CKA) (if applicable)
• Performance Engineering Certifications (e.g., CP-PST, CP-PE from CMG or similar)

Mandatory Skills:

Performance Testing, performance architect, Performance Management

• Experienced in Performance architect specializing in crafting high performance systems and optimizing costs for organization.
• Proficient in analyzing , designing, and implementing solutions that enhance system efficiency and scalability.
• Conduct comprehensive performance tests and execute strategic optimization to maximize system throughput and responsiveness.
• Experience in system performance analysis.
• Proficiency in Scalability planning and Implementation.
• Experience in Performance Testing and benchmarking, architecture optimization.
• Proficiency in Cloud based performance solutions and cost reduction strategies.
• Cross functional Collaboration and Date driven decision making
• Creating an integrated performance improvement strategy
• Assist with production triage when performance or availability issues arise.
• Working with internal engineering teams to optimize and characterize new components, functions, and architectures.
• Creating approximately timed models analyzing the performance results and provide guidance as far as architecture choices.
• Communicates strategy and technology roadmaps to executive staff, industry partners and customers.
• Assist with production triage when performance or availability issues arise.
• Constructing or modifying component models

Core Technical Skills

• System Performance Analysis Deep knowledge of identifying bottlenecks in system-level architecture (CPU, memory, I/O, etc.).
• Scalability Planning & Implementation Experience in horizontal/vertical scaling strategies for enterprise systems.
• Performance Testing & Benchmarking Proficiency in tools such as JMeter, Gatling, LoadRunner, or k6.
• Architecture Optimization Ability to refactor and optimize system architecture for improved throughput and responsiveness.
• Cloud Performance Engineering Hands-on experience with AWS/Google Cloud Platform/Azure performance tuning and cost optimization.
• Modeling & Simulation Ability to create approximate timed models and perform predictive analysis on performance outcomes.
• Production Triage Skilled in diagnosing and resolving performance and availability issues in production.

Tools & Technologies

• Performance Testing Tools: JMeter, Gatling, LoadRunner
• Monitoring & Profiling Tools: Datadog, New Relic, AppDynamics, Prometheus, Grafana
• Cloud Platforms: AWS, Google Cloud Platform, Azure
• Scripting: Python, Bash, or Shell for automations
• APM: Application Performance Monitoring tools
• CI/CD and DevOps Integration (for testing in pipelines)