- Define and own Performance Architecture for ERP landscapes (core, integrations, customizations, extensions, analytics/reporting).
- Translate business SLAs into NFRs (response time, concurrency, throughput, error budgets, availability, capacity headroom).
- Design for scale, burst, and resilience: partitioning, CDN, caching (Redis/Coherence), connection pooling, async patterns, backpressure, batching, circuit breakers, message queuing.
- Create reference architectures & performance blueprints for ERP modules (e.g., Order-to-Cash, Procure-to-Pay, HCM/Payroll, Financial Close).
- Lead capacity modeling & forecasting (peak seasons, payroll runs, quarter-end close, Black Friday) and right-sizing (cloud compute/storage/network).
- Define end-to-end performance test strategy, scenarios, and workloads (API/UI, batch jobs, integrations, EDI, middleware, reports).
- Establish test data strategies (volume, variety, privacy/compliance, synthetic data) and environment parity with production.
- Lead execution of load, stress, endurance/soak, spike, failover tests; analyze results to identify bottlenecks & regressions.
- Build performance regression pipelines integrated into CI/CD with automatic baselining and SLO/SLA gating.
- Implement observability (APM, distributed tracing, metrics, structured logs, RUM) across ERP, middleware, and integrations.
- Perform deep-dive profiling: thread/heap analysis, GC tuning, SQL plan analysis, network profiling, JVM/CLR/Node tuning.
- Optimize databases & reports (indexes, partitioning, materialized views, HANA modeling, parallelism, statistics, hints).
- Drive middleware/integration optimization (JMS/Kafka, MuleSoft/Boomi/OIC, API gateways, ESB, ETL/ELT).
- Champion cost-aware performance (FinOps) to balance latency/throughput vs. TCO.
- Establish performance guardrails and readiness criteria for go-live and significant releases.
- Run performance triage/war rooms, produce exec-ready dashboards & root-cause analyses, and lead remediation plans.
- Mentor engineers, uplift squads on performance-first design and coding patterns.
- Align with security on TLS overhead, WAF rules, bot mitigation, DDoS preparedness, and zero-trust implications on performance.
- 10–15+ years in performance engineering, with 7+ years hands-on in ERP platforms (SAP S/4HANA/ECC, Oracle E‑Business Suite/Oracle Cloud ERP, Workday, Microsoft Dynamics 365).
- Proven leadership of enterprise-scale ERP performance programs (≥5k concurrent users or equivalent batch volumes).
- Expert with performance testing tools: LoadRunner/Performance Center, JMeter, NeoLoad, Gatling or k6.
- Strong with APM/observability: Dynatrace, AppDynamics, New Relic, Datadog, Prometheus/Grafana, OpenTelemetry.
- Deep knowledge of databases: Oracle (AWR/ASH/ADDM), SQL Server, SAP HANA, PostgreSQL; SQL tuning & execution plans.
- Solid background in integration/middleware: Kafka/RabbitMQ/JMS, MuleSoft/Apigee/WSO2, SAP PI/PO/CPI, Oracle Integration Cloud, Boomi.
- Cloud: AWS/Azure/GCP (Auto Scaling, Load Balancers, managed DBs, caching, storage, network).
- Proficiency in one or more languages for tooling/automation: Java, Python, JavaScript/Node, or Go.
- Hands-on with CI/CD (Jenkins, GitHub Actions, Azure DevOps), Infrastructure-as-Code (Terraform/CloudFormation), containers (Docker/Kubernetes).
- Strong understanding of SRE (SLOs, SLIs, error budgets), resiliency patterns, and chaos testing fundamentals.
- Excellent communication: ability to translate performance insights into business impact and executive updates.
- SAP focus: S/4HANA, BW/4HANA, Fiori/UI5, SAP Gateway, CPI, BRF+, SAP Job Scheduling Mgmt, HANA modeling & performance.
- Oracle focus: Oracle Cloud ERP/EPM, EBS (11i/R12), OIC, OAM/OID, WebLogic, AWR/ASH deep dive.
- Workday: Prism, BIRT reports, EIB, Calc fields, Payroll runs, PECI/INT chronology throughput.
- Dynamics 365: Finance & Operations, CE, Power Platform, Dataverse, Plug-ins performance.
- Certifications: CPSA/TOGAF, AWS/Azure Architect, Dynatrace/AppD/New Relic certifications, ISTQB Performance or Neotys.
- Testing : LoadRunner/PC, JMeter, NeoLoad, Gatling/k6, BlazeMeter.
- APM/Obsrv : Dynatrace, AppDynamics, New Relic, Datadog, Prometheus/Grafana, OpenTelemetry, ELK.
- Databases : Oracle, HANA, SQL Server, PostgreSQL, Snowflake/Redshift/BigQuery (for analytics offloading).
- Caching/CDN : Redis/ElastiCache, Azure Cache for Redis, Akamai/CloudFront.
- Queues/Streaming : Kafka, RabbitMQ, SQS/SNS, Azure Service Bus, Event Hubs.
- Infra : AWS (ALB/NLB, ASG, EKS), Azure (VMSS, AKS, App Gateway), GCP (GKE), Nginx/HAProxy, Istio/Service Mesh.
- Build/Deploy : GitHub, GitLab, Jenkins, Azure DevOps, Terraform, Helm.
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Performance Engineering Architect - San Diego - Coforge
Description
Position: Performance Engineering Architect – ERP (SAP/Oracle/Workday/Dynamics)
Location: San Diego, CA
Job Type: 3 Days a week Onsite
Shift: General
We are seeking a Performance Engineering Architect with deep expertise in ERP platforms to own end-to-end performance strategy, architecture, and engineering. You will define and enforce non-functional requirements (NFRs), design scalable & resilient ERP architectures, lead performance testing (load, stress, soak, scalability, reliability), and drive observability and tuning across application, integration, database, and infrastructure layers. This role partners closely with Enterprise/Solution Architects, ERP product teams, SRE/Cloud Ops, DBAs, and QA to ensure our ERP solutions meet throughput, latency, and availability objectives at scale.
Key Responsibilities:
Architecture & Strategy
Performance Engineering & Testing
Observability, Diagnostics & Tuning
Governance & Leadership
Required Qualifications
Preferred/Bonus
Core Technical Stack (illustrative — tailor to your shop)
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