Senior Platform Engineer (Salesforce Sales Cloud)

• 4–6 years hands-on administering Salesforce with ≥1 million records and hundreds of active users, including permission set & role hierarchy design, release management, and org health monitoring.
  
• A deep understanding of the Salesforce CRM platform, including its architecture, limits, and data security models.
• The candidate should be very proficient in using declarative tools as well as some custom code when necessary.
• The breakdown of work will be 70% declarative and 30% custom code.

  Certifications:
  * Platform App Builder
  * Advance Administrator
  * Sales Cloud Consultant

• Proven understanding of third-party integrations (e.g., Marketing Cloud, middleware, data warehouses) and some ability to troubleshoot sync issues in those integrations.

  Certifications:
  * Platform Developer 1
  * Salesforce Certified Agentforce Specialist

• Expert use of flows, formula fields, validation rules, assignment rules, and a strong grasp of Sales Cloud features like Campaigns, CPQ, Orders, Lead Conversion, etc.
• Must be able to meet complex requirements and develop solutions with the skills above without over-engineering.

• Data Management and SOQL: Since Salesforce is data-centric, need to be proficient in SOQL (Salesforce Object Query Language) to query the database efficiently.
• Comfortable importing, transforming, and deduping large data sets. Understands how to keep data models performant and compliant with large volume best practices.
• Expert in Microsoft Excel for data manipulation.
  
• DevOps and Agile Methodologies: Familiarity with DevOps practices like continuous integration and continuous delivery (CI/CD) and Agile methodologies is becoming increasingly important for efficient development and faster releases.

  Lead Management
  Experience supporting large and high-pressure sales organizations, including multi-channel campaign management and lead routing.

  Einstein AI Tools: Production-grade experience with Salesforce products, including Agentforce, enhanced chatbots, etc.

  Agentforce Specific Skills:
  * Prompt Engineering: Skills in crafting precise and structured prompts to guide AI agents in generating accurate responses.
  * RAG Implementation: The ability to implement Retrieval Augmented Generation (RAG) to integrate enterprise data into Large Language Models (LLMs) for relevant context.
  * Agent Studio Proficiency: Familiarity with Agentforce studios like Agent Builder, Prompt Builder, Agent Actions, and Testing Center to facilitate agent development and ensure quality.

• Documentation: Creates concise technical documentation, change sets, architecture and data flows as well as release notes, and in-app guidance.

  Soft skills:
  * Communication: Excellent written and verbal communication skills. Additionally, the ability to effectively communicate technical concepts to both technical and non-technical stakeholders is crucial. This ensures that project requirements and progress are understood.
  * Problem-solving: Strong analytical and problem-solving skills to navigate complex business requirements and translate them into effective technical solutions.
  * Attention to Detail: Precision is important in Salesforce development, as minor errors can lead to significant issues.
  * Teamwork and Collaboration: Salesforce development often involves collaborating with other team members, including administrators and business analysts. Effective teamwork ensures efficient project execution.
  * Adaptability: The Salesforce platform is constantly evolving, so developers need to be adaptable and committed to continuous learning. Staying updated with the latest features and best practices is essential.

• Maintain a complex Salesforce Sales Cloud org with 1M+ records and hundreds of users.
  
• Lead and support enterprise-level Sales Cloud implementations.
  
• Collaborate with SalesOps to translate business needs into scalable Salesforce solutions.
  
• Design and build automation using Flow Builder, SOQL, and Apex.
  
• Manage and optimize lead workflows, data cleansing, and campaigns.
  
• Integrate Salesforce with external systems (PoS, Data Lakes, APIs, third-party tools).
  
• Utilize DevOps tooling (Gearset, Copado, DevOps Center, GitHub) and manage version control.
  
• Leverage Agentforce and Einstein product suite for advanced sales enablement.
  
• Monitor system performance, manage data backups, and ensure platform reliability.
  
• Support multi-channel operations (web, email, inbound).
  
• Prepare and maintain comprehensive documentation: technical specs, change sets, release notes, in-app guidance, and stakeholder communication.
  
• Collaborate with developers, analysts, and business teams using Agile and DevOps practices (CI/CD pipelines).

We offer: