ALU - Lead Salesforce Platform Engineer
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Requirements
• Essential • 9+ years of experience in Salesforce platform engineering, enterprise architecture or technical leadership roles. • 9+ years of experience in Salesforce platform engineering • Salesforce certifications (Platform Developer, Application Architect, System Architect or similar). • Salesforce certifications • Master’s degree in Computer Science, Engineering or a related field. • Deep, hands-on Salesforce development and administration experience. • Proven full-stack development experience and operation at Lead Architect, Technical Architect or Principal Engineer level. • Strong experience integrating Salesforce with enterprise systems such as ERP, HR and cloud platforms. • Solid understanding of Salesforce data models, security architecture and performance constraints. • Experience designing integration and cloud architectures across AWS or similar environments. • Hands-on experience in API design, CI/CD pipelines and cloud infrastructure management, with version control and collaboration using Git and Jira. • Proficiency in setting up and managing secure, scalable development environments and automation pipelines. • Strong grasp of software architecture, including monolith-to-microservice transitions. • Experience working with and holding external vendors to account. • Desirable • Experience with Oracle NetSuite, BambooHR or comparable SaaS ERP platforms. • Exposure to event-driven or microservices architectures. • Experience using AI tools to improve engineering productivity and quality. • This is a remote role, with a desirable time zone alignment in EMEA
Responsibilities
• Salesforce-Led Platform Architecture • Lead the architecture, development and administration of ALU’s Salesforce platform across domains. • Design and govern integrations between Salesforce and AWS, Oracle NetSuite, BambooHR and other platforms. • Define and document data models, integration patterns and API standards involving Salesforce. • Ensure architectural decisions are practical, scalable and aligned with institutional needs. • Balance scalability, flexibility and cost-efficiency in architectural and implementation decisions. • Hands-on Development & Salesforce Administration • Remain an active technical contributor through Salesforce development (Apex, LWC, integrations) and configuration. • Oversee and, where required, perform Salesforce administration including security models, roles, permissions and environment management. • Review code and configurations to ensure quality, performance and alignment with architectural standards. • Enterprise Integration & Cloud Architecture • Design scalable, modular integration architectures using APIs, event-driven patterns or microservices where appropriate. • Optimise and secure cloud and integration infrastructure, particularly within AWS. • Ensure integrations are resilient, observable and well documented in production. • Ensure appropriate monitoring, logging and observability are in place across integrations and platforms to support operational stability and incident response. • Engineering Standards, Governance & Documentation • Establish and enforce technical standards across Salesforce and integrated platforms, including: • async processing and integration patterns • error handling and resilience approaches • naming conventions and data ownership • documentation and architectural decision records • Define where technical knowledge is captured and how it is maintained over time. • Influence and continuously improve delivery models across teams and vendors, ensuring work moves predictably from design through to production. • DevOps, Version Control & Release Discipline • Define and own the version control and Git strategy across Salesforce and integrated platforms. • Establish CI/CD pipelines and release management practices, ensuring environment parity across development, QA and production. • Ensure traceability, controlled releases and rollback strategies across vendors and teams. • Vendor & Technical Leadership • Act as the technical authority across internal teams and external delivery partners. • Review vendor designs and deliveries, challenge assumptions and enforce architectural standards. • Mentor engineers and product teams, raising the overall technical and architectural bar. • Responsible Use of AI in Engineering • Use AI tools to accelerate development, improve code reviews, enforce standards and support documentation. • Contribute to a structured, responsible approach to AI use within engineering workflows.
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