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