Senior Salesforce Technical Lead
About the job
LogiQlink is an AI-first product engineering and technology consulting company helping businesses design, build, and scale digital products and enterprise technology solutions.
We are looking for a Salesforce Technical Lead to join a US-based enterprise implementation involving Salesforce development, enterprise integrations, data migration, Data Cloud, Agentforce, and AI-powered document processing.
You will work directly with the client-facing Solution Architect and Functional Consultant, translating approved architecture and functional designs into technical designs and working software. This is a hands-on leadership role: you will build complex and foundational components yourself while providing day-to-day technical direction to the Salesforce developers on the team.
A significant part of the implementation involves AI. Documents and unstructured data will flow into Data Cloud, Agentforce agents will act on them inside Salesforce, and MuleSoft IDP will classify and extract information during ingestion.
Production experience integrating Salesforce with both SharePoint and QuickBooks is mandatory. You must have personally implemented both integrations in production environments.
This is an initial 6-month, part-time contract of approximately 20 hours per week, remote from India. You must be available 8:00 AM–12:30 PM US Eastern on working days.
There may be an opportunity to transition into a longer-term or full-time role depending on business growth, project demand, and mutual fit.
ResponsibilitiesTechnical Design & Development
- Translate solution architecture and functional requirements into technical designs, specifications, and development tasks.
- Decide implementation approaches using Salesforce configuration, Flow, Apex, LWC, APIs, and integration components.
- Build prototypes or technical spikes for complex or higher-risk functionality.
- Identify technical dependencies, constraints, and implementation risks before development begins.
- Build complex and foundational components using Apex, LWC, Flow, triggers, asynchronous processing, and integrations.
- Implement Salesforce data models including objects, fields, relationships, junction objects, validation rules, automation, and duplicate management.
- Ensure solutions follow Salesforce governor limits, security, bulk-processing, and performance best practices.
- Troubleshoot complex Salesforce issues as the primary technical escalation point.
Data Cloud, Agentforce & AI
- Configure Salesforce Data Cloud connections and supporting components.
- Implement unstructured data ingestion, Data Lake Objects, search indexes, chunking, and retrieval configuration.
- Configure Agentforce agents including topics, instructions, actions, prompts, grounding sources, and guardrails.
- Build Salesforce actions and automation used by Agentforce.
- Test AI responses, grounding behavior, permissions, and edge cases.
- Troubleshoot and tune Agentforce and Data Cloud configurations.
- Support MuleSoft IDP for document classification, metadata extraction, Salesforce record association, and exception processing.
IntegrationsOwn the Salesforce side of enterprise integrations, including API contracts, payloads, mappings, authentication, error handling, retries, and reconciliation.
Build or oversee Salesforce integration components such as:
- Apex services
- REST APIs
- Named Credentials
- External Credentials
- Platform Events
- Integration automationCoordinate technically with MuleSoft, Microsoft, QuickBooks, and other integration resources.
Salesforce–SharePoint
Lead the Salesforce-side document-management integration, including:
- Surfacing SharePoint documents inside Salesforce
- Record-to-document relationships and metadata
- Microsoft Graph API integration
- Authentication and permissions
- Troubleshooting and supportHands-on production Salesforce–SharePoint integration experience is mandatory.
Salesforce–QuickBooks
Implement synchronization of business and financial information including customers, invoices, payments, and related records.
Responsibilities include:
- Data mapping and transformation
- Validation and reconciliation
- Authentication
- API limits
- Failures and retries
- Duplicate handling
- Synchronization conflicts
- Bidirectional synchronization where requiredHands-on production Salesforce–QuickBooks integration experience is mandatory.
Quality, DevOps & Release
- Establish Salesforce engineering standards for naming, logging, exception handling, reusable components, documentation, and testing.
- Review Apex, LWC, JavaScript, SOQL, Flow, integrations, and complex configurations.
- Define source control, branching, environment management, and Salesforce CI/CD practices.
- Support deployments and troubleshoot deployment failures.
- Coordinate releases across Salesforce, MuleSoft, Data Cloud, Agentforce, and external integrations.
- Support QA with technical test scenarios, defect triage, and root-cause analysis.
- Participate in performance, security, integration, and deployment testing.
- Build logging, monitoring, exception handling, and operational supportability.
- Support production cutover, stabilization, and technical knowledge transfer.
Technical Leadership
- Break technical designs into actionable development tasks.
- Provide day-to-day technical direction to Salesforce developers.
- Review development approaches before complex implementation begins.
- Review code and mentor developers on Salesforce engineering practices.
- Remove technical blockers and escalate architectural decisions when needed.
- Coordinate technical activities across Salesforce, MuleSoft, Microsoft, and other engineering teams.
Minimum QualificationsMandatory
- Production Salesforce–SharePoint integration personally implemented by you.
- Production Salesforce–QuickBooks integration personally implemented by you.
- Strong hands-on experience with Apex, Lightning Web Components, SOQL, triggers, and Salesforce Flow.
- Strong experience designing and implementing Salesforce REST API integrations with secure authentication and authorization.
- 12+ years of overall software engineering experience.
- 8–10+ years of hands-on Salesforce development experience.
- Strong understanding of Salesforce data modeling, security, governor limits, bulk processing, and platform best practices.
- Experience with integration error handling, retries, logging, monitoring, and reconciliation.
- Experience reviewing technical designs and identifying implementation risks.
- Experience leading developers, breaking designs into tasks, reviewing code, and mentoring engineers.
- Strong debugging and problem-solving skills.
- Excellent written and verbal communication skills for working with US-based stakeholders.
- Ability to work independently with minimal supervision.
- Availability approximately 20 hours per week during the required US Eastern hours.
AI ExperienceHands-on experience shipping AI-powered features in production is strongly preferred, particularly with:
- Salesforce Agentforce
- Salesforce Data Cloud
- AI agents and prompts
- Grounding and retrieval
- Unstructured documents
- Testing nondeterministic AI behaviorExperience using AI coding tools such as Claude Code, Cursor, GitHub Copilot, or Agentforce for Developers is also preferred. You should understand and take ownership of all code produced using these tools.
Preferred Qualifications
- Salesforce Platform Developer I / II certifications
- Salesforce Integration Architect certification
- Salesforce Data Cloud experience
- Agentforce configuration experience
- MuleSoft experience
- MuleSoft IDP or similar intelligent document-processing experience
- Accounting or document-management platform integrations
- Experience supporting US-based clients and distributed engineering teams
- Enterprise Salesforce CI/CD, release management, and automated testing experience
Engagement Details
- Duration: Initial 6 months
- Commitment: Approximately 20 hours/week
- Location: Remote, India
- Working hours: 8:00 AM–12:30 PM US Eastern on working days
- IST: Approximately 6:30 PM–11:00 PM in US winter and one hour earlier during US summer
- Collaboration: US-based Solution Architect and Functional Consultant
- Role: Hands-on technical lead writing production code while directing Salesforce developers
- Long-term opportunity: Potential full-time role depending on business growth, project demand, and mutual fit
Who Should ApplyThis role is suited to an experienced Salesforce engineer who enjoys solving complex integration problems, takes ownership of technical delivery, leads other developers while remaining hands-on, and can work effectively with US-based stakeholders.
Most importantly, you must have real production experience implementing both Salesforce–SharePoint and Salesforce–QuickBooks integrations.
You should also be interested in building the AI layer around Salesforce, including Agentforce, Data Cloud, unstructured document processing, retrieval, grounding, and production AI testing. If you have the required experience and are interested in contributing to a US enterprise Salesforce implementation while exploring a longer-term relationship with LogiQlink, we would like to hear from you.