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# Senior Salesforce Service Cloud Engineer

- **Company:** Metasys Technologies
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $124,800.0
- **Contract:** Contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), User Authentication, Cloud Computing, Code Review, Custom Software, Knowledge Management, Performance Tuning, Regression Testing, Cloud Services, Salesforce.Com, Systems Integration, Enterprise Data Management, Apex Code, Enterprise Software Applications, Snowflake, Spring-boot, Facebook Flow, Event Driven Architecture, Enterprise Integration, Apache Kafka, Data Management, Video Streaming, Virtual Agents
- **Published:** October 28, 2026
- **Apply:** https://www.dice.com/job-detail/4c91cc3d-6e74-434e-8499-442550795813

## About the Role

Salesforce Service Cloud

 * 8+ years of experience delivering Salesforce solutions in complex enterprise environments.
 * Strong knowledge of Service Cloud capabilities, including omnichannel routing, digital channels, case management, knowledge management, entitlements, SLAs, and contact center operations.
 * Hands-on expertise in Apex, Lightning Web Components (LWC), Salesforce Flow, APIs, security and sharing, governor limits, and deployment practices.

Agentforce Implementation & Architecture

 * Proven hands-on experience implementing Agentforce, covering discovery, solution design, configuration, custom development, integration, testing, deployment, and production optimization.
 * Practical experience with Agentforce Builder, subagents/topics, instructions, actions, Prompt Builder, and custom capabilities using Flow, Apex, and APIs.
 * Experience grounding AI agent responses in trusted enterprise data, including Salesforce Knowledge and Data 360/Data Cloud.
 * Knowledge of Agentforce security best practices, authentication, authorization, least-privilege access, data privacy, prompt-injection defenses, and human escalation.
 * Experience establishing agent testing and evaluation practices, including scenario testing, regression testing, negative testing, response quality, action accuracy, and monitoring.

Enterprise Integrations & Data Platforms

 * Hands-on experience integrating Salesforce with enterprise platforms and services, including Snowflake, using batch and real-time integration patterns.
 * Exposure to event-driven architectures using Kafka or similar streaming technologies.
 * Experience integrating with enterprise applications built using Java, Spring Boot, and APIs.
 * Strong understanding of enterprise data models, data quality, retrieval relevance, and access controls.

Technical Leadership & Consulting

 * Ability to lead and mentor developers, review code and solution designs, establish development standards, and troubleshoot complex issues.
 * Experience leading discovery sessions and architecture workshops, evaluating business use cases, assessing implementation readiness, and recommending phased delivery approaches.
 * Ability to determine when to use standard Salesforce functionality, deterministic automation, custom development, or Agentforce.
 * Experience collaborating with Salesforce product and account teams on features, licensing, SKUs, consumption models, and roadmap capabilities.
 * Ability to work effectively with administrators, development teams, data engineers, analytics teams, system integrators, and third-party vendors.

Reporting & Performance Optimization

 * Experience with Salesforce reporting and business metrics related to contact center productivity, case lifecycle, customer interactions, and SLA performance.
 * Ability to define and monitor Agentforce success metrics, including resolution rate, escalation rate, response quality, latency, and cost per interaction.

Preferred Candidate Profile

 * Strong communication, stakeholder-management, and consulting skills.
 * Ability to translate business requirements into scalable, secure technical solutions.
 * Ownership of technical decisions, implementation quality, and delivery outcomes.
 * A balance of hands-on engineering, AI agent implementation, enterprise integration, and technical leadership experience.

## Description

We are seeking a Senior Salesforce Service Cloud Engineer with deep expertise in enterprise integrations and hands-on Agentforce implementation. The ideal candidate will combine strong Salesforce development capabilities with solution architecture, AI agent implementation, and enterprise integration experience.

This role requires a technical leader who can drive Agentforce adoption, design scalable integration solutions, mentor developers, and advise stakeholders on Salesforce best practices and implementation strategies.