Description

Key Responsibilities

Full Stack Development & Customization

• Design, develop, and maintain complex Salesforce solutions across Sales Cloud, Service Cloud, and Experience Cloud — including custom objects, Apex classes, triggers, batch/queueable jobs, LWC components, Aura components, and advanced Flow orchestration

• Build responsive, accessible, and performant front-end experiences using Lightning Web Components (LWC), custom CSS frameworks, and Experience Cloud templates aligned with UX standards

• Develop scalable, reusable, and well-documented back-end logic including Apex frameworks, invocable methods, platform events, and asynchronous processing patterns

• Enforce coding standards, governor limit compliance, bulkification patterns, and test coverage thresholds across all delivered solutions

• Support Salesforce DX, Git branching strategies, CI/CD pipeline execution, and sandbox/release management across multi-org development environments

UI/UX & Design Engineering

• Translate business requirements and wireframes into polished, intuitive LWC-based user interfaces that meet accessibility standards and deliver exceptional user experiences across desktop and mobile

• Collaborate with UX designers and Product Owners to implement design systems, component libraries, and reusable UI patterns that accelerate delivery and ensure visual consistency

• Apply design thinking principles to front-end solutioning — iterating rapidly on prototypes, gathering feedback, and refining experiences with AI-assisted design tooling

• Develop and maintain Experience Cloud portals and community sites with custom branding, dynamic page layouts, and role-based content visibility aligned with stakeholder requirements

Integration Engineering

• Design and implement Salesforce integrations with enterprise systems including MuleSoft, SAP, Documentum, Excalibur, and legacy platforms using REST/SOAP APIs, Platform Events, and Change Data Capture (CDC)

• Build real-time and batch integration patterns with robust error handling, retry logic, observability frameworks, and logging standards aligned with enterprise resilience requirements

• Collaborate with MuleSoft developers and architects to implement integration contracts, validate end-to-end data flows, and ensure integration layers are testable, auditable, and production-hardened

• Support multi-system workflow development spanning case management, document handling, and regulated utility operations — ensuring data consistency and traceability across all integration touchpoints

Data Engineering & Data Modeling

• Design and maintain enterprise-grade Salesforce data models including custom objects, complex relationships, schema governance, and field-level standards aligned with master data management principles

• Lead and contribute to data migration efforts from legacy platforms (e.g., Microsoft Dynamics) — including ETL/ELT design, transformation logic, data validation scripts, reconciliation frameworks, and cutover execution planning

• Build and maintain data pipelines, transformation workflows, and data quality rules across Salesforce, Enterprise Data Platform (EDP), and Salesforce Data Cloud environments

• Implement deduplication strategies, data lineage standards, and audit-ready documentation aligned with compliance, regulatory requirements, and enterprise governance frameworks

• Collaborate with EDP and Data Cloud teams to harmonize data structures, evaluate platform trade-offs, and ensure consistent, trustworthy data availability across the enterprise

Atlassian On-Premises to Cloud Migration

• Lead and support Atlassian on-premises to cloud migration efforts including Jira, Confluence, and associated tooling — covering discovery, dependency mapping, data extraction, transformation, and cloud cutover planning

• Assess current on-premises Atlassian configurations, custom plugins, project workflows, and data volumes to develop a risk-informed, phased migration strategy with minimal business disruption

• Design and execute data migration scripts, validation checkpoints, and reconciliation frameworks to ensure completeness, fidelity, and integrity of migrated Atlassian project data, boards, pages, and attachments

• Collaborate with DevOps, IT infrastructure, and delivery teams to align Atlassian cloud configurations with enterprise security standards, SSO/SAML requirements, and access governance protocols

• Document migration runbooks, rollback procedures, and post-migration support plans — ensuring audit-ready, traceable, and repeatable migration execution aligned with change management standards

Generative AI & Agentic AI Delivery

• Leverage Agentic AI platforms (Windsurf, Devin, or equivalent) daily for accelerated code generation, LWC component scaffolding, data transformation scripting, test automation, and technical documentation

• Apply prompt engineering best practices — iterative prompting, session scoping, and peer review gates — to ensure AI-generated code and design artifacts are clean, complete, and production-ready

• Identify and remediate AI-generated code smells, output inconsistencies, and token management issues before delivery — upholding quality standards in an AI-augmented engineering workflow

• Integrate Salesforce Einstein AI, Agentforce, and GenAI-enabled flows into case management, portal, and automation workflows under the guidance of the Tech Lead and Architect

• Contribute to team-level AI efficiency benchmarks including development velocity gains, UI delivery acceleration, and sprint throughput improvements aligned with AI-first delivery strategy

Governance, Security & Compliance

• Develop solutions adhering to Salesforce platform governance standards including permission sets, profiles, field-level security, sharing model best practices, and org health principles

• Ensure all code, configuration, and data solutions meet regulatory standards and audit-ready documentation requirements

• Support security reviews, vulnerability assessments, and AppExchange product evaluations as a contributing technical voice

• Maintain thorough technical documentation for all delivered solutions, integrations, data models, and migration artifacts

Collaboration & Agile Delivery

• Work closely with the Tech Lead, Architect, Product Owner, and Business Analyst to clarify requirements, refine user stories, and deliver sprint-ready, high-quality work items on time and within scope

• Participate actively in Agile ceremonies — sprint planning, backlog grooming, daily standups, and retrospectives — as a reliable, communicative, and technically accountable delivery contributor

• Collaborate with QA leads to support SIT/UAT, write unit and integration tests, and drive defect resolution — maintaining defect counts below the 5% threshold across platform releases

• Mentor junior developers on full stack best practices, AI tooling adoption, data modeling standards, and code quality — contributing to team capability growth across onshore and offshore delivery models

Required Qualifications

• 4+ years of hands-on Salesforce development experience with demonstrated full stack ownership of complex, production-grade solutions

• Deep expertise in Apex, LWC, Flows, SOQL/SOSL, platform events, and Salesforce platform internals including governor limits and bulkification patterns

• Proven front-end development proficiency including LWC, JavaScript, CSS, and Experience Cloud portal design and configuration

• Hands-on experience with enterprise integrations using REST/SOAP APIs, Platform Events, CDC, and middleware platforms such as MuleSoft

• Demonstrated experience in data modeling, ETL/ELT design, data migration, transformation logic, and data quality governance

• Hands-on experience with Atlassian on-premises to cloud migration — including Jira and Confluence data migration, plugin assessment, workflow migration, and cutover execution

• Active daily use of Generative AI and/or Agentic AI tools in a software delivery context with measurable quality and productivity outcomes

• Proficiency with Salesforce DX, Git, CI/CD pipelines, and DevOps practices in multi-org environments

• Salesforce certifications: Platform Developer I (required); Platform Developer II and Experience Cloud Consultant strongly preferred

Preferred Qualifications

• Experience in regulated utility, energy, or infrastructure sectors with awareness of compliance, audit requirements, and data governance standards

• Familiarity with Salesforce Data Cloud, Einstein AI, or Agentforce and AI-enabled workflow and portal design

• Hands-on experience with Windsurf, Devin, or similar Agentic AI coding platforms in a team delivery context

• Knowledge of Documentum, Excalibur, SAP, or enterprise content management systems from a development and integration perspective

• Experience with Atlassian cloud administration, Atlassian Marketplace evaluation, and post-migration platform governance

• Background in multi-vendor offshore/nearshore delivery models and distributed agile team collaboration

• Familiarity with UX design principles, accessibility standards (WCAG), and component-driven design systems

• MuleSoft Certified Developer or Integration Associate certification

Key Skills

Education

Bachelor's degree