Summary
✨ AI‑Generated
Lead end-to-end enterprise CRM solution design as a Salesforce technical leader, spanning multiple cloud environments and custom applications. You will define engineering standards, oversee CI/CD and integration architecture, conduct code and architecture reviews, mentor distributed developers, and use generative and agentic AI tools in everyday engineering work.
Highlights
A technical leadership role combining Salesforce architecture, enterprise integration, data engineering, DevOps practices, and AI-augmented development, with substantial mentoring and architectural ownership.
Description
About The Role
We are seeking a highly skilled and innovative Salesforce Tech Lead to join Salesforce team.
This role goes beyond traditional Salesforce development - it sits at the intersection of enterprise integration architecture, data engineering, and AI-augmented delivery.
The ideal candidate thrives in a fast-paced, agile environment, leads with technical depth, and embraces Generative AI and Agentic AI tools as a core part of their daily engineering workflow.
Responsibilities
Lead end-to-end Salesforce solution design across Sales Cloud, Service Cloud, Experience Cloud, and custom applications, ensuring scalability, security, and governanceDefine and enforce coding standards, design patterns, and DevOps best practices, including CI/CD, Salesforce DX, Git, and pipeline toolingConduct architecture and code reviews, provide technical direction, and mentor Salesforce developers across onshore and offshore teamsDesign and implement MuleSoft integrations between Salesforce and enterprise systems such as SAP, Documentum, Excalibur, and legacy platformsBuild and maintain REST/SOAP APIs, Platform Events, CDC, and middleware solutions for real-time and batch integrationsOwn Salesforce data architecture and lead data migration, transformation, validation, reconciliation, and cutover activitiesCollaborate with Enterprise Data Platform and Data Cloud teams to ensure scalable data pipelines, data quality, integrity, and governance.Leverage Agentic AI and Salesforce AI capabilities, including Einstein AI and Agentforce, to accelerate development, testing, documentation, and automationChampion AI-augmented SDLC practices and support measurable improvements in development velocity, QA/BA effort, and sprint throughputEnsure platform security and regulatory compliance while collaborating with architects, business stakeholders, Product Owners, and QA teams throughout delivery
Requirements
5+ years of hands-on Salesforce development experience with demonstrated technical leadershipDeep expertise in Apex, LWC, Flows, SOQL/SOSL, and Salesforce platform internalsStrong experience with MuleSoft or equivalent integration platforms (REST APIs, event-driven architecture, middleware patterns)Proven track record in data migration projects - ETL design, transformation logic, reconciliation, and cutover executionHands-on experience with Salesforce DX, Git, CI/CD pipelines, and DevOps toolingActive daily use of Generative AI and/or Agentic AI tools in a software delivery contextExperience in Experience Cloud / Community portals, Service Cloud case management, and workflow automationSalesforce certifications: Platform Developer II (required); Integration Architecture Designer or Data Architecture Designer (strongly preferred)Experience in regulated utility, energy, or infrastructure sectors, including exposure to compliance and audit requirements, would be advantageousFamiliarity with Salesforce Data Cloud, Einstein Analytics, or Agentforce is highly valuedHands-on experience with Windsurf, Devin, or similar Agentic AI coding platforms would be beneficial
SoftServe is an equal opportunity employer.
Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.
