AWSAzureCloudETLJavaJavaScriptNext.jsNode.jsPythonReactSOAPC#CAIMLGenerative AILarge Language ModelsAnalyticsReact.jsGitGitHubPerformance OptimizationSalesforceAgileCI/CDSales
About this role
Role Overview
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, ensuring performance and stability.
Drive the implementation of Einstein Copilot, predictive analytics, and generative AI features into critical marketing and sales workflows, focusing on optimization and measurable business outcomes.
Lead technical contribution to AI and ML initiatives, including the integration of complex large language models (LLMs) and generative AI into enterprise processes, focusing on security and data governance.
Develop, maintain, and optimize high-performance front-end applications using modern JavaScript frameworks (e.g., advanced React.js/Next.js) and web component architecture.
Serve as a key contributor to the Agile team, participating in roadmap planning, setting technical direction, and leading comprehensive peer code reviews.
Mentor and guide junior Software Engineer team members, fostering technical growth and adherence to engineering best practices.
Collaborate closely with product managers, data science teams, and business partners to define technical requirements and ensure scalable delivery.
Requirements
5+ years of focused software engineering experience in a corporate setting
Expert knowledge of object-oriented programming principles and 3+ years of hands-on experience with at least one major programming language (JavaScript, Python, Java, or C#)
Working knowledge of and practical experience with generative AI productivity tools for software development (e.g., GitHub Copilot, Cursor) strongly preferred.
Deep working knowledge of modern web development frameworks (React.js, Next.js, or similar) and a solid understanding of front-end state management and performance optimization.
Strong working experience with cloud environments (Azure or AWS) and professional-level proficiency with DevOps tools (Git, CI/CD pipelines).
Demonstrated interest and practical experience in integrating AI and ML technologies, including LLMs, and applying them to enterprise-level sales or marketing workflows.
Exceptional problem-solving, architectural thinking, and analytical skills, with a commitment to technical excellence.
Excellent ability to communicate complex technical designs and collaborate effectively across fast-paced, cross-functional teams.