Senior Salesforce Developer
New
I
Inallmedia.comRecruitment marketplace
Location: Argentina / Peru / Bolivia / Paraguay / Ecuador; Remote from LATAM, EST ±2; expected to overlap a few hours with North America (US time zones)Full-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Fluent English for daily communication.
- Experience
- 5+ years of hands-on Salesforce engineering experience (7+ years preferred)
- Required Skills
- SalesforceCI/CD
Requirements
- Have 5+ years of hands-on Salesforce engineering experience; 7+ years is preferred.
- Have experience in large enterprise Salesforce orgs with tens of millions of records and thousands of users.
- Be actively writing code; non-coding architects are not a fit.
- Demonstrate deep expertise in Apex development, trigger frameworks, bulkification, governor-limit tuning, and asynchronous patterns.
- Have a proven track record diagnosing row-lock contention, governor-limit exceptions, and SOQL performance bottlenecks.
- Have hands-on experience implementing data archiving and purging and resolving parent-child and record-ownership skew.
- Have production Salesforce Data Cloud engineering experience with data streams, DLO/DMO modeling, identity resolution, and credit consumption management.
- Have experience upgrading legacy versions and managing sandbox-first CI/CD pipelines.
- Have experience with observability tools including Scale Center, ApexGuru, Proactive Monitoring, and Jira.
- Have experience working in Agile teams and remote environments.
- Be fluent in English for daily communication.
Responsibilities
- Profile, refactor, and optimize custom Apex and SOQL code to address row-lock contention, governor-limit failures, and code footprint.
- Consolidate trigger frameworks and modernize asynchronous processing with Queueable, Batch, and Platform Events.
- Design and execute archiving and purge strategies for high-volume objects, and resolve parent-child and record-ownership data skew.
- Stabilize Salesforce Data Cloud production ingestion streams and tune DLO and DMO architectures.
- Optimize identity resolution rulesets, calculated insights, segmentation, and credit consumption.
- Diagnose and resolve latency, grounding, and execution errors across Agentforce and Einstein generative AI workflows.
- Upgrade outdated API, Apex, and Visualforce versions and execute deployments through sandbox-first CI/CD pipelines.
- Author operational runbooks and lead structured handovers to the internal engineering team.
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