Senior Salesforce Engineer – Performance & Data Cloud
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In All MediaSalesforce engineering
100% remote contractor position open to talent anywhere in LATAM, Specific time zone alignment and required business-hour overlap will be confirmed during the recruitment process; candidates must be comfortable working within the team's established working hours.ContractSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 5+ years of hands-on Salesforce engineering experience, preferably 7+ years
- Required Skills
- SalesforceJiraCI/CD
Requirements
- Have 5+ years of hands-on Salesforce engineering experience; 7+ years is preferred.
- Have recent, demonstrable experience writing or refactoring Apex code within the last 2–3 years.
- Bring deep expertise in Apex, trigger frameworks, bulkification, governor-limit optimization, and asynchronous processing, including Queueable Apex, Batch Apex, and Platform Events.
- Have hands-on experience diagnosing and resolving row-lock contention, governor-limit exceptions, and SOQL performance bottlenecks in highly concurrent enterprise environments.
- Have experience with large data volumes, data archiving, purging, retention strategies, and parent-child and record-ownership skew remediation.
- Have production Salesforce Data Cloud engineering experience, including data streams, DLOs, DMOs, identity resolution, calculated insights, segmentation, activation, and credit consumption management.
- Have experience upgrading legacy Salesforce API, Apex, and Visualforce versions while maintaining platform compatibility and stability.
- Have hands-on experience with sandbox-first CI/CD pipelines, source control, release processes, and documented rollback strategies.
- Be familiar with Salesforce monitoring tools such as Scale Center, ApexGuru, Proactive Monitoring, and Smart Alerts, and issue tracking through Jira.
- Be comfortable communicating technical concepts, documenting solutions, and collaborating with distributed teams in English during established working hours.
Responsibilities
- Profile, troubleshoot, refactor, and optimize Apex and SOQL code to address contention, governor-limit exceptions, and inefficient queries.
- Consolidate trigger frameworks, improve bulkification, and modernize asynchronous processing with Queueable Apex, Batch Apex, Platform Events, and asynchronous dispatchers.
- Design and execute archiving, purging, and data-retention strategies, and remediate parent-child and record-ownership data skew.
- Stabilize Salesforce Data Cloud ingestion streams and optimize DLO and DMO architectures, identity resolution, calculated insights, segmentation, and activation workflows.
- Monitor and optimize Salesforce Data Cloud credit consumption, processing efficiency, and resource utilization.
- Troubleshoot performance, grounding, and execution issues in Salesforce Agentforce and Einstein generative AI workflows.
- Use Scale Center, ApexGuru, Proactive Monitoring, and Smart Alerts to diagnose incidents and optimize platform performance.
- Upgrade Salesforce API, Apex, and Visualforce versions, and deploy through sandbox-first CI/CD pipelines with version control and rollback procedures.
- Develop operational runbooks, document improvements and troubleshooting procedures, and lead knowledge-transfer sessions.
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