LTG - Lead Software Engineer, Salesforce

Lennar•Waterford, FL

1d•Onsite

About The Position

The Salesforce Tech Lead will be responsible for the overall technical direction, architecture, design, implementation, and support of Salesforce technology solutions within Lennar Corporation. As a member of the Salesforce Engineering team, the Salesforce Tech Lead will own the technical integrity of the platform across multiple workstreams — ensuring solutions accurately meet the defined expectations of the business, that proper functional and performance testing is completed, and that security requirements are designed in from the start. The Tech Lead sets and enforces development standards, leads design and code reviews, and is accountable for identifying technical design risks and driving mitigating approaches. The Tech Lead will lead and mentor a team of senior and junior developers, balancing hands-on delivery with technical leadership. The Tech Lead will collaborate closely with Product Owners and Architects to translate business requirements into scalable solutions, participate in Sprint Ceremonies and Demos, own release management and CI/CD practices, and serve as the final escalation point for Tier 3 support.

Requirements

Minimum 8+ years of Salesforce development experience, including 2+ years in a technical lead or lead developer capacity
Bachelor's Degree in Computer Science, Information Systems, or related field, or equivalent experience
Certified Salesforce Platform Developer II required
Certified Administrator required or strongly preferred
Salesforce Application Architect, System Architect, or Technical Architect certification highly preferred
Deep understanding of the Salesforce product suite, including Sales, Service, Marketing, Experience, and Data Cloud
Expert knowledge of Salesforce platform best practices, security and sharing model, coding standards, design guidelines, and governor limits
Proven ability to architect and deliver scalable, high-volume, enterprise-grade solutions on the Salesforce platform
Expert-level Apex, Visualforce, and Lightning Aura / LWC, including asynchronous patterns (Batch, Queueable, Platform Events)
Strong experience with declarative tools and detailed knowledge of Flows, object configuration, validation rules, and App Builder
Strong integration experience — REST/SOAP APIs, MuleSoft or equivalent middleware, ETL, and event-driven patterns
Hands-on experience designing or delivering AI-enabled features on the Salesforce platform (Agentforce, Einstein, Prompt Builder, or Data Cloud) strongly preferred
Working knowledge of core AI/LLM concepts — prompt engineering, retrieval-augmented generation, context grounding, tool/function calling, agentic workflows, and model evaluation
Understanding of AI risk areas including hallucination, prompt injection, data leakage, and the controls used to mitigate them
Experience with Microsoft Visual Studio Code, SFDX, Salesforce Lightning Design System, and the Salesforce Development Lifecycle
Hands-on ownership of CI/CD tooling, Git commands, GitHub source control, branching strategies, and Azure DevOps
Demonstrated experience leading teams in a SCRUM or agile environment
Proficient in SOQL, SOSL, SQL, HTML, CSS, JavaScript
Prior experience with other technologies like Java/.NET, Python, Node.js, React, Azure, AWS, NoSQL DBs is highly preferred
Experience with data migration, org consolidation, or large-scale platform modernization preferred
Strong analytical, critical thinking, and troubleshooting skills
Strong verbal and written communication skills, with the ability to translate technical concepts for non-technical audiences

Nice To Haves

Diligence; acts promptly and drives issues to closure
Interpersonal skills; maintains effective working relationships, supporting company leadership and team
Readily embraces change and leads others through it
Maintains a supportive and collaborative teamwork environment; encourages teamwork in others
Engages with others and works with integrity and ethically; upholds organizational values
Sensitive and responsive to internal and external needs; maintains a positive attitude, willing to seek solutions
Demonstrates operational awareness in problem solving and decision making
Understands the company's philosophy on diversity in the workplace
Self-motivated with the ability to work independently as well as lead a team
Trains and coaches developers on defined procedures, standards, and emerging platform capabilities
Stays current on the evolving AI landscape and translates new capabilities into practical, governed use cases
Applies pragmatic judgment about AI — evaluates it on measurable business outcomes rather than novelty
Must be flexible and readily adapt to changing priorities/tasks
Ability to work under pressure, maintains composure and professionalism in a stressful situation
Demonstrates an understanding of the links between business drivers and IT processes
Understands the market, major competitors, and homebuilding industry dynamics
Comfortable influencing without direct authority across cross-functional teams

Responsibilities

Lead the design and implementation of Salesforce platform solutions using best practices through custom and declarative development
Own technical design; lead technical design sessions, document technical solutions aligned with business objectives, and identify gaps between current and desired end states
Define, publish, and enforce coding standards, design patterns, and reusable frameworks across the Salesforce Engineering team
Lead code and design reviews; approve solutions prior to promotion and hold the team accountable to quality gates
Partner with Architects on integration architecture, data model design, org strategy, and platform scalability
Break down epics into technical tasks; provide estimates, sequence work, and manage technical delivery across a sprint team
Own release and environment strategy, including sandbox management, branching strategy, deployments, and CI/CD pipeline health
Lead the evaluation, design, and delivery of AI-enabled capabilities on the Salesforce platform and define the technical patterns the team uses to build them
Establish standards for responsible AI use, including data grounding, prompt versioning, human-in-the-loop review, hallucination mitigation, and adherence to the Einstein Trust Layer and Lennar's data governance policies
Partner with Product Owners to identify where AI genuinely improves a business process versus where deterministic automation is the better answer
Proactively drive continuous improvement on application design, technical debt reduction, support, and practice development
Oversee unit, performance, integration, and user acceptance testing; ensure solutions meet quality standards before release
Define test strategies, design automation frameworks, and drive code coverage and automation metrics for the team
Communicate risks to engineering staff through training and technical demonstration of vulnerabilities and secure design patterns
Provide hands-on expert-level assistance on complex technical issues, bug fixes, enhancements, and escalated troubleshooting
Mentor senior and junior developers; lead knowledge-sharing sessions and contribute to onboarding and skills development
Present to peers, business stakeholders, and senior management with clarity
Independently solves complex technical problems and guides others through ambiguity