Software Engineer - Salesforce & GTM Systems

Responsibilities Develop experimentation for new automation capabilities and platforms Develop backend services and domain logic layers within the Salesforce and other adjacent GTM platforms, treating Apex as a server-side programming environment for enterprise application development Provide hands-on coding/ technical support during US PDT hours including month end and quarter ends Develop and implement API-first and event-driven integrations across distributed systems (e.g., Salesforce, AWS services, internal platforms) using REST, Platform Events, and middleware Build enterprise-grade, code-driven applications using Lightning Web Components, Angular and React with a strong emphasis on scalable frontend layer and service orchestration Design systems to support high-volume, enterprise-scale workloads, including bulk processing, asynchronous patterns, and large data volumes Develop and maintain reusable frameworks, shared services, and platform utilities to standardize engineering practices and improve developer productivity Implement observability and reliability patterns, including structured logging, monitoring (e.g., Datadog), alerting, and proactive incident detection and resolution Drive technical debt remediation and platform hardening, including refactoring legacy code, improving test coverage, and enforcing engineering standards Partner with product and engineering teams to define and deliver scalable system capabilities and services Contribute to AI-enabled and agent-driven workflows by integrating Salesforce with external AI services and automation platforms Job Designation Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation) What you bring Basic Bachelor s degree in Computer Science, Engineering, or related discipline 5+ years of hands-on Salesforce development experience (Apex, LWC/LWR, APIs), strong SQL knowledge, and exposure to AI/ML integrations Strong integration experience using REST/SOAP, Platform Events, or middleware (MuleSoft) Proven expertise in performance optimization, scalability planning, and platform health assessments Experience with Service Cloud and/or Experience Cloud (Communities) Familiarity with Salesforce DevOps using GitHub, SFDX, and CI/CD pipelines Salesforce Platform Engineer I (PD1) certification Excellent communication and collaboration skills across global teams Preferred Experience supporting large-scale orgs (1000+ users) with strong governance and deployment controls Hands-on experience with modern Salesforce frameworks (LWC, Flow Orchestration, API-led connectivity) Proven experience integrating Salesforce with AI, LLMs, or agentic frameworks Familiarity with security hardening, data masking, and vulnerability analysis Experience with Apex testing frameworks (ApexMocks, Jest) or static analysis tools (Salesforce Code Analyzer) Contributions to internal accelerators, reusable libraries, or governance tools Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.