2151 Senior Salesforce Developer

Position: Senior Salesforce Developer

Location: Remote from LATAM

Contract Type: Full-time vendor

Time Zone Alignment: EST ±2

About Inallmedia.com

Inallmedia.com is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams across LATAM. We partner with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation.

Project Overview

You will join the core enterprise CRM and customer data platform engineering organization for a global online recruitment and career marketplace platform. The project focuses on stabilizing, scaling, and optimizing high-traffic Salesforce Core and Salesforce Data Cloud environments that manage tens of millions of records, thousands of internal users, and heavy integration throughput. You will lead performance tuning, Large Data Volume (LDV) management, and platform stability initiatives-eliminating Apex/SOQL bottlenecks, reducing row-lock contention and data skew, stabilizing Data Cloud ingestion, and improving generative AI (Agentforce) latency and reliability.

Key Responsibilities

• Apex & SOQL Performance Optimization: Profile, refactor, and optimize custom Apex and SOQL codebases to eliminate row-lock contention, governor-limit failures, and overall code footprint.
• Trigger & Asynchronous Architecture Consolidation: Consolidate trigger frameworks and modernize asynchronous processing patterns (Queueable, Batch, Platform Events) while reducing scheduled job overhead.
• Large Data Volume (LDV) & Skew Remediation: Design and execute archiving and purge strategies for high-volume objects using Big Objects, external archives, or ETL tooling, while resolving parent-child and record-ownership data skew.
• Salesforce Data Cloud Operations & Tuning: Stabilize production data ingestion streams, tune DLO and DMO architectures, optimize identity resolution rulesets, and manage calculated insights, segmentation, and credit consumption.
• Generative AI Performance: Diagnose and resolve latency, grounding, and execution errors across Agentforce and Einstein generative AI workflows.
• Platform Hygiene & Release Management: Upgrade outdated API, Apex, and Visualforce versions; execute deployments via sandbox-first CI/CD pipelines with source control and documented rollback plans.
• Documentation & Knowledge Transfer: Author detailed operational runbooks and lead structured handovers to the internal engineering team.

Must-Have Skills

• 5+ years of hands-on Salesforce engineering experience (7+ years preferred) in large enterprise orgs (tens of millions of records, thousands of users). Note: Must be actively writing code; non-coding architects are not a fit.
• Core Apex & Asynchronous Mastery: Deep expertise in Apex development, trigger frameworks, bulkification, governor-limit tuning, and async patterns.
• Performance Diagnostics: Proven track record diagnosing and resolving row-lock contention, governor-limit exceptions, and SOQL performance bottlenecks.
• LDV & Data Skew: Hands-on experience implementing data archiving/purging and resolving parent-child and record-ownership skew.
• Production Salesforce Data Cloud Experience: Real-world production engineering covering data streams, DLO/DMO data modeling, identity resolution, and credit consumption management.
• Platform Upgrades & Observability: Experience upgrading legacy versions, managing sandbox-first CI/CD pipelines, and utilizing observability tools (Scale Center, ApexGuru, Proactive Monitoring, Jira).
• Experience working in Agile teams and remote environments.
• Fluent English for daily communication.

Nice-to-Have Skills

• Generative AI Troubleshooting: Experience optimizing Agentforce and Einstein generative AI performance (prompt sizing, data grounding, action chains, and LLM selection).
• Multi-Cloud Enterprise Experience: Background working at scale with Service Cloud, CTI, Omni-Channel routing, or Revenue Cloud.
• Salesforce Certifications: Platform Developer II, Data Cloud Consultant, Data Architect, or Application Architect.

Time Zone & Collaboration

The role requires collaboration with teams aligned to EST. Flexibility to overlap a few hours with North America (US time zones) is expected.

Language

All interviews, documentation, and daily communication will be in English.