Coforge
Job Title:
Performance Engineering Architect Skills:
Code optimizations, Code refinement, API refinement, Design improvement, AppDynamics, Appscan, Dynatrace, Performance monitoring, Prometheus/Grafana Experience:
15+ years Location:
Dallas, TX
We at Coforge are hiring a Performance Engineering Architect with the following skillset:
Summary: Responsible for defining, designing, and governing end-to-end performance, scalability, and resilience strategies for mission-critical, high-transaction platforms. This role operates at the intersection of architecture, cloud engineering, DevOps, and data, ensuring systems perform predictably under peak load, irregular operations, and extreme scale.
Key Responsibilities: Architecture & Strategy - Define performance engineering strategy across application, API, data, and infrastructure layers. Establish non-functional requirements (NFRs) for latency, throughput, availability, and scalability. Design performance-first architectures for cloud-native and hybrid environments. Lead capacity planning, traffic modeling, and peak-load forecasting.
Performance Engineering & Testing: Architect and govern load, stress, endurance, spike, and chaos testing frameworks. Design reusable performance test harnesses for microservices, event-driven, and streaming systems. Identify system bottlenecks across compute, network, storage, and data layers. Drive shift-left performance testing within CI/CD pipelines.
Cloud & Platform Optimization: Optimize systems in GCP using autoscaling, caching, and resource right-sizing. Architect performance strategies for Kubernetes, service mesh, and container orchestration. Optimize API gateways, message brokers (Kafka/Pub-Sub), and data platforms. Guide performance tuning for Databases, Data Lakes, and Streaming Platforms.
Observability & Reliability: Observability standards using OpenTelemetry, Prometheus, Grafana, ELK/OpenSearch. Correlate performance metrics with business KPIs and customer experience. Partner with SRE teams on SLIs, SLOs, and error budgets. Lead performance triage during major incidents and IROPs.
Leadership & Stakeholder Engagement: Act as architectural authority for performance decisions across programs. Collaborate with product, operations, and executive stakeholders. Provide performance sign-off for major releases and transformations.
Technical Skills: Performance engineering tools: JMeter, Appscan, Dynatrace, Gatling, k6. Cloud platforms: AWS, Azure, GCP. Containerization & orchestration: Docker, Kubernetes, Istio/Linkerd. Observability: OpenTelemetry, Prometheus, Grafana, ELK. Messaging & streaming: Kafka, Pub-Sub, Event Hubs. Data platforms: Relational, NoSQL, Data Lakes, Distributed Caches. Programming/scripting: Java, Python, JavaScript, Shell.
Performance Engineering Architect Skills:
Code optimizations, Code refinement, API refinement, Design improvement, AppDynamics, Appscan, Dynatrace, Performance monitoring, Prometheus/Grafana Experience:
15+ years Location:
Dallas, TX
We at Coforge are hiring a Performance Engineering Architect with the following skillset:
Summary: Responsible for defining, designing, and governing end-to-end performance, scalability, and resilience strategies for mission-critical, high-transaction platforms. This role operates at the intersection of architecture, cloud engineering, DevOps, and data, ensuring systems perform predictably under peak load, irregular operations, and extreme scale.
Key Responsibilities: Architecture & Strategy - Define performance engineering strategy across application, API, data, and infrastructure layers. Establish non-functional requirements (NFRs) for latency, throughput, availability, and scalability. Design performance-first architectures for cloud-native and hybrid environments. Lead capacity planning, traffic modeling, and peak-load forecasting.
Performance Engineering & Testing: Architect and govern load, stress, endurance, spike, and chaos testing frameworks. Design reusable performance test harnesses for microservices, event-driven, and streaming systems. Identify system bottlenecks across compute, network, storage, and data layers. Drive shift-left performance testing within CI/CD pipelines.
Cloud & Platform Optimization: Optimize systems in GCP using autoscaling, caching, and resource right-sizing. Architect performance strategies for Kubernetes, service mesh, and container orchestration. Optimize API gateways, message brokers (Kafka/Pub-Sub), and data platforms. Guide performance tuning for Databases, Data Lakes, and Streaming Platforms.
Observability & Reliability: Observability standards using OpenTelemetry, Prometheus, Grafana, ELK/OpenSearch. Correlate performance metrics with business KPIs and customer experience. Partner with SRE teams on SLIs, SLOs, and error budgets. Lead performance triage during major incidents and IROPs.
Leadership & Stakeholder Engagement: Act as architectural authority for performance decisions across programs. Collaborate with product, operations, and executive stakeholders. Provide performance sign-off for major releases and transformations.
Technical Skills: Performance engineering tools: JMeter, Appscan, Dynatrace, Gatling, k6. Cloud platforms: AWS, Azure, GCP. Containerization & orchestration: Docker, Kubernetes, Istio/Linkerd. Observability: OpenTelemetry, Prometheus, Grafana, ELK. Messaging & streaming: Kafka, Pub-Sub, Event Hubs. Data platforms: Relational, NoSQL, Data Lakes, Distributed Caches. Programming/scripting: Java, Python, JavaScript, Shell.