IT Software Developer Analyst-Level 3

• Senior (11
• 15 Years)#26-17683 Juno Beach, FL Onsite Job Description Salesforce Tech Lead
• Job Description Role Overview We are seeking a highly skilled and innovative Salesforce Tech Lead to join the NEER IT 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. Key Responsibilities 🔧 Technical Leadership & Architecture Lead end-to-end Salesforce solution design across Sales Cloud, Service Cloud, Experience Cloud, and custom platform applications, ensuring scalability, security, and governance Define and enforce coding standards, design patterns, and DevOps best practices (CI/CD via Salesforce DX, Git, and pipeline tooling) Conduct architecture reviews, code reviews, and technical grooming sessions to maintain platform health and delivery quality Partner with the Salesforce Architect on platform strategy, org health, and long-term roadmap alignment 🔗 Integration Engineering Design and implement MuleSoft-based integrations connecting Salesforce to enterprise systems including Documentum, Excalibur, SAP, and legacy platforms Build and maintain

REST/SOAP

APIs, Platform Events, CDC (Change Data Capture), and middleware orchestration patterns for real-time and batch integration scenarios Lead integration solutioning for complex, multi-system workflows involving case management, document handling, and regulated utility operations Collaborate with MuleSoft Architects to define integration contracts, error handling frameworks, and retry/resilience patterns 📊 Data Engineering Own and drive Salesforce data architecture including data modeling, object relationships, and schema governance across multi-org environments Lead data migration efforts from legacy platforms (e.g., Microsoft Dynamics) to Salesforce, including transformation logic, data validation, reconciliation, and cutover planning Work with the Enterprise Data Platform (EDP) and Data Cloud teams to design scalable data pipelines, harmonize data structures, and ensure data integrity across systems Define and implement data quality rules, deduplication strategies, and audit-ready data lineage aligned with compliance and regulatory requirements 🤖 Generative AI & Agentic AI Delivery Leverage Agentic AI platforms (Windsurf, Devin, or equivalent) daily for accelerated story creation, code generation, test automation, and design documentation Apply prompt engineering best practices — iterative prompting, session scoping, peer review gates — to ensure AI output quality and story completeness Integrate Salesforce Einstein AI, Agentforce, and GenAI-enabled flows into case management, portal, and automation workflows Champion AI-augmented SDLC practices within the team, mentoring developers on responsible AI usage, code smell detection, and token management Contribute to measurable AI efficiency benchmarks including development velocity gains, BA/QA effort reduction, and sprint throughput improvements 🛡️ Governance, Security & Compliance Enforce Salesforce platform governance including user access management, permission sets, profiles, and inactive account monitoring Ensure solutions adhere to NERC, utility-sector compliance standards, and audit-ready documentation requirements Support security reviews, vulnerability assessments, and AppExchange product governance 🤝 Collaboration & Delivery Work closely with the Business Analyst/Product Owner to refine epics, user stories, and acceptance criteria — leveraging AI tooling to accelerate story creation by ~50% Lead and mentor a team of Salesforce developers (onshore and offshore), providing day-to-day technical direction and unblocking delivery impediments Participate in Agile ceremonies — sprint planning, backlog grooming, retrospectives — as a key technical voice Coordinate with QA leads to define test strategies, support SIT/UAT, and drive defect resolution below the 5% threshold Required Qualifications 5+ years of hands-on Salesforce development experience with demonstrated technical leadership Deep expertise in Apex, LWC, Flows, SOQL/SOSL, and Salesforce platform internals Strong 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 execution Hands-on experience with Salesforce DX, Git, CI/CD pipelines, and DevOps tooling Active daily use of Generative AI and/or Agentic AI tools in a software delivery context Experience in Experience Cloud / Community portals, Service Cloud case management, and workflow automation Salesforce certifications: Platform Developer II (required); Integration Architecture Designer or Data Architecture Designer (strongly preferred) Preferred Qualifications Experience in regulated utility, energy, or infrastructure sectors with awareness of compliance and audit requirements Familiarity with Salesforce Data Cloud, Einstein Analytics, or Agentforce Hands-on experience with Windsurf, Devin, or similar Agentic AI coding platforms Knowledge of Documentum, Excalibur, or enterprise content management systems Background in multi-vendor offshore/nearshore delivery models MuleSoft Certified Developer or Integration Associate certification

EEO:

"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of

• Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

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