IT Database Administrator-Level 3 - Senior (11 - 15 Years)

Role Overview We are seeking a versatile and technically driven Salesforce Full Stack Developer to join the Salesforce team. This role spans the full delivery spectrum - from pixel-perfect front-end experiences to robust back-end customization, enterprise integration engineering, data modeling, and pipeline development. The ideal candidate brings deep Salesforce platform expertise, hands-on Atlassian on-premises to cloud migration experience, and embraces Generative AI and Agentic AI tools as a core part of their daily engineering workflow - delivering high-quality, scalable, and AI-accelerated solutions that drive measurable business impact. 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