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

Requirements

5+ years of focused software engineering experience in a corporate setting
Expert knowledge of object-oriented programming principles
3+ years of hands-on experience with at least one major programming language such as 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)
Strong working experience with cloud environments (Azure or AWS)
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
Excellent ability to communicate complex technical designs and collaborate effectively across fast-paced, cross-functional teams.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

ApexLightning Web ComponentsNode.jsPythonETLREST APIsSOAP APIsJavaScriptReact.jsNext.js

Soft Skills

problem-solvingarchitectural thinkinganalytical skillscommunicationcollaborationmentoring