Salesforce Service Cloud Specialist

📌 Job: Salesforce Service Cloud Specialist

📌 About the role: A Salesforce development company is looking for a Senior Salesforce Cloud Specialist who will be responsible for maintaining a scalable, secure, and user-friendly Salesforce environment for a call center with a high volume of requests.

You will receive a ready-made infrastructure and resources — all that remains is to maintain and improve it. 🚀

📌Candidate requirements:

• 3+ years of practical experience working with Salesforce Service Cloud.
• Experience with Omni-Channel setup, configuration, and optimization.
• Relevant Salesforce Service Cloud certification.
• In-depth knowledge of the Salesforce platform architecture, its limitations, and data security.
• Experience with Salesforce Flows, SQL, data modeling, LWC, and data migration.
• Experience working in customer service or call centers.
• Knowledge of Agile methodologies and DevOps tools for Salesforce deployment.
• Excellent verbal and written communication skills with technical and non-technical audiences.
• Strong analytical mindset and problem-solving ability.
• High attention to detail with a focus on scalable, clear solutions.
• Ability to collaborate cross-functionally and adapt in a rapidly changing environment.
• Commitment to continuous learning and keeping up with updates to the Salesforce ecosystem.
• Certifications:
• Salesforce Advanced Administrator
• Platform Developer I
• Salesforce Certified Service Cloud Consultant
• Salesforce Certified Agent force Specialist
• Sales Cloud Consultant

📌Key responsibilities:

• Maintain a complex Salesforce Service Cloud organization with over 1 million records and hundreds of users.
• Configure and optimize Omni-Channel routing, IVR, macros, telephony, and automation rules.
• Use Einstein AI tools (Service Analytics, advanced bots, case classification) to improve user experience and response quality.
• Use Agent force Studio (Agent Builder, Prompt Builder, etc.) to manage and optimize intelligent agents.
• Develop and implement permission sets, role hierarchies, and ensure system uptime.
• Create advanced reports, dashboards, flows, formulas, and validation rules.
• Write clear documentation: technical specifications, change sets, release notes, and in-app instructions.

• Collaborate with developers, analysts, and business teams using Agile and DevOps practices (CI/CD pipelines).

   

📌 Would be a plus:

• Experience with Einstein GPT, RAG (Retrieval-Augmented Generation), or similar LLM-enhanced AI tools.
• Knowledge of prompt engineering and LLM-context optimization.
• Hands-on work experience with Agentforce AI workflows and custom agent actions.

• Experience in cross-channel service strategies and AI voice integrations.

   

📌 The company offers:

• An interesting and challenging project.
• Comfortable working conditions.
• Paid vacation and sick leave, additional days off.
• A friendly team and democratic corporate culture (corporate events to bring the team together, corporate parties).
• Full-time employment with a flexible work schedule.
• Free English grammar and vocabulary courses.

📩 Send us your resume, we will be happy to talk to you 🙂