Join a senior engineering team that safeguards the scalability, performance, and resilience of Salesforce’s Industries Cloud. This role blends solution‑architect insight with hands‑on performance engineering to help customers achieve AI‑driven success.
What You’ll Do
- Lead architecture and performance assessments for complex Industries Cloud implementations.
- Review end‑to‑end solution designs, Apex code, data models, and integrations.
- Analyze transaction paths for latency, throughput, concurrency and reliability risks.
- Validate designs against platform constraints and realistic workload models.
- Identify bottlenecks and recommend bulkification, indexing, caching, or async processing.
- Produce risk assessments, remediation plans, and track findings to closure.
- Contribute reusable patterns and automation to improve SPARK engineering practices.
What You Need
- 10+ years in software engineering, Salesforce architecture, and performance validation.
- Deep expertise with Apex, SOQL, DML, asynchronous Apex, and platform governor limits.
- Hands‑on experience troubleshooting large‑scale Salesforce Industries Cloud solutions.
- Strong ability to design workload models and performance tests reflecting peak TPS.
- Proficiency in debugging logs, traces, and runtime telemetry across tiers.
- Experience with Java or Python alongside Apex development.
- Excellent communication skills for technical discovery and design reviews.
Good to Have
- Consulting or advisory experience in regulated, high‑scale industries.
- Relevant Salesforce certifications (Architecture, Development, Industries Cloud).
- Experience assessing high‑volume APIs, event‑driven, batch, or multi‑system integration flows.
The Opportunity
Salesforce uses AI tools throughout recruiting, enabling faster, data‑driven decisions while keeping human judgment at the core.