• Develop and maintain API endpoints and business logic • Update and optimize database models through code • Build and improve data processing jobs to support API operations • Develop new UI features that interact with APIs • Write and maintain automated tests to keep our codebase reliable as it grows • Review code and provide constructive feedback through pull requests • Write and review technical specifications for upcoming development tasks • Make minor cloud infrastructure updates using Terraform • Maintain documentation and contribute to the team's knowledge base • Participate in agile team meetings, including sprint planning, standups, and retrospectives

• Develop and maintain API endpoints and business logic • Update and optimize database models through code • Build and improve data processing jobs to support API operations • Develop new UI features that interact with APIs • Write and maintain automated tests to keep our codebase reliable as it grows • Review code and provide constructive feedback through pull requests • Write and review technical specifications for upcoming development tasks • Make minor cloud infrastructure updates using Terraform • Maintain documentation and contribute to the team's knowledge base • Participate in agile team meetings, including sprint planning, standups, and retrospectives

• Independently design, develop, and implement highly complex, scalable Salesforce applications and integrations using advanced Apex, complex Lightning Web Components (LWC), and advanced declarative features (Flows, Process Builders) • Design and maintain robust back-end services, APIs, and complex automation workflows utilizing Node.js, Python, and scalable cloud technologies (Azure, AWS) • Build and manage reliable data pipelines and integration processes (ETL) on Azure platform and Salesforce Data 360 • Own integrations between Salesforce and multiple enterprise platforms, defining data contracts and standards via robust REST/SOAP APIs and event-driven architectures • Lead the customization and expansion of Agentforce capabilities to create mission-critical, context-aware employee experiences • Drive the implementation of Einstein Copilot, predictive analytics, and generative AI features into critical marketing and sales workflows • Lead technical contribution to AI and ML initiatives, including the integration of complex large language models (LLMs) • Develop, maintain, and optimize high-performance front-end applications using modern JavaScript frameworks (e.g., advanced React.js/Next.js) • Serve as a key contributor to the Agile team • Mentor and guide junior Software Engineer team members • Collaborate closely with product managers, data science teams, and business partners to define technical requirements and ensure scalable delivery

• Design, develop, and enhance Salesforce applications using Apex, Lightning Web Components (LWC), Web Components, and Flows • Build and maintain integrations between Salesforce and other enterprise platforms using REST and SOAP APIs • Extend and customize Agentforce capabilities to create intelligent, context-aware employee experiences • Leverage Einstein Copilot, predictive analytics, and generative AI features to bring automation and insights into marketing and sales workflows • Contribute to AI and ML initiatives, including integrating large language models (LLMs) and generative AI into enterprise processes • Develop and maintain front-end applications using modern JavaScript frameworks such as React.js, Next.js, and Web Components • Support back-end services, APIs, and automation through Node.js, Python, and cloud technologies like Azure and AWS • Collaborate with product managers, data teams, and business partners to translate ideas into high-quality software solutions • Participate in Agile development practices, peer code reviews, and team discussions that foster technical excellence and innovation