This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Full-Stack Developer - AI-forward based in United States. This role offers the opportunity to build advanced software solutions at the intersection of full-stack engineering, cloud technologies, and artificial intelligence. You will design, develop, and maintain scalable platforms that solve complex business challenges across enterprise environments. The position combines hands-on software development with architectural ownership, technical leadership, and innovation. You will work with modern technologies including Salesforce, cloud services, integrations, Python, and AI-powered development tools. The ideal candidate is passionate about engineering excellence, automation, and leveraging emerging technologies to transform how software is built. You will join a collaborative team where engineers are empowered to create reusable solutions, influence technical direction, and deliver meaningful business impact. ### Accountabilities: The Senior Full-Stack Developer will contribute directly to building, scaling, and optimizing enterprise software solutions while establishing strong engineering practices and advancing AI-driven development workflows. - Apply and advance AI-native software development practices by integrating AI chat tools, coding assistants, and emerging technologies into the engineering lifecycle. - Build and maintain AI-enabled development tooling, including extensions, plugins, and integrations that improve engineering productivity. - Develop and support Model Context Protocol (MCP) servers and related solutions that connect AI tools with internal systems and data sources. - Continuously evaluate new AI technologies and establish practical approaches, standards, and safeguards for effective AI-assisted development. - Design and deliver reusable platform capabilities, including shared libraries, frameworks, metadata solutions, and scalable architecture patterns. - Develop production-quality solutions using Salesforce technologies, including Apex, Lightning Web Components, SOQL/SOSL, Flow, and CPQ configurations. - Build and maintain integrations and services using REST and SOAP APIs, MuleSoft, ETL tools, Python, and cloud-based technologies. - Create scalable solutions leveraging Salesforce DX, platform events, custom metadata, AWS services, and cloud development best practices. - Lead architecture discussions, solution design reviews, and code reviews to ensure quality, consistency, and maintainability. - Develop and manage CI/CD pipelines using tools such as GitHub, Gearset, and Salesforce DX to enable reliable and efficient deployments. - Maintain development, testing, and production environments while ensuring system stability, performance, and compliance with service expectations. - Troubleshoot complex technical issues, resolve production incidents, and proactively improve system reliability. - Mentor engineers on Salesforce development, architectural approaches, coding standards, and engineering best practices. - Collaborate with cross-functional teams to translate business requirements into scalable technology solutions. - Influence technical strategy by identifying opportunities for innovation, improving platform capabilities, and reducing technical debt. ## Requirements: The ideal candidate is an experienced software engineer with strong Salesforce expertise, modern development skills, and a passion for using AI to improve engineering workflows and outcomes. - 10+ years of professional software engineering experience, including at least 5 years working extensively with Salesforce platforms in complex enterprise environments. - Advanced programming experience with Apex, SOQL/SOSL, Lightning Web Components, HTML, JavaScript, and CSS. - Strong proficiency in Python or another object-oriented programming language. - Experience designing and implementing Salesforce solutions across enterprise-scale environments. - Hands-on experience with MuleSoft, DataWeave, REST APIs, SOAP APIs, and integration architectures. - Experience developing applications and services using AWS and cloud-based technologies. - Demonstrated ability to use AI development tools such as Claude, ChatGPT, and open-source alternatives as part of an AI-first engineering workflow. - Experience building AI-related tooling, plugins, extensions, or comparable developer productivity solutions. - Experience working with MCP servers or similar AI integration frameworks is preferred. - Strong understanding of modern software architecture, distributed systems, and enterprise application design. - Experience implementing DevOps practices, CI/CD pipelines, GitHub workflows, and automated testing strategies. - Salesforce Administrator and Salesforce Developer / Platform Developer certifications required. - Strong analytical and problem-solving skills with the ability to manage complex technical challenges. - Excellent communication skills and the ability to collaborate effectively with product teams, business stakeholders, and engineering peers. - Ability to mentor other engineers and contribute to a culture of technical excellence and continuous improvement. Additional preferred qualifications include: - Salesforce Platform Developer II certification. - Experience with Salesforce CPQ and Billing. - Experience implementing Salesforce Experience Cloud. - Familiarity with containerized and serverless architectures, including Docker, Kubernetes, Lambda, ECS, or Fargate. - Experience with additional programming languages such as Java, Go, Ruby, C#, Node.js, or Vue.js. - Bachelor’s degree in Computer Science, Business, Information Systems, or a related field. ## Benefits: - Competitive base salary range of $147,000 - $167,000 per year. - Potential bonus opportunities discussed during the recruitment process. - Compensation based on experience, education, location, skills, training, and internal equity. - Local cost-of-living considerations evaluated during the offer process. - Opportunity to work on innovative AI-driven engineering initiatives. - Collaborative environment focused on technical growth, ownership, and continuous learning. - Exposure to modern cloud platforms, enterprise architecture, and advanced development practices. - Opportunity to influence engineering standards, technology strategy, and platform evolution. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! [Why Apply Through Jobgether?](https://jobgether.com/how-jobgether-works) Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1