Software Engineer II – Salesforce & AI
<p>Our client is building the next generation of intelligent, scalable enterprise applications at the intersection of Salesforce, AI, and automation. Their high-performing Marketing Applications team delivers mission-critical solutions that power large-scale operations, optimize business processes, and embed AI-driven insights across the organization.</p><p><br></p><p>They are seeking a <strong>Software Engineer II</strong> to independently design and deliver complex technical solutions while developing deep expertise across Salesforce, AI-enabled workflows, and enterprise integrations. This role is ideal for a proven engineer who enjoys architectural ownership, mentoring others, and working across a sophisticated technology ecosystem. Candidates from outside the Salesforce ecosystem are encouraged to apply if interested in specializing in these technologies.</p><p><br></p><p><strong>What You’ll Do</strong></p><ul><li>Independently design, develop, and deliver complex, scalable Salesforce applications and integrations using advanced Apex, Lightning Web Components (LWC), and declarative tools</li><li>Design and maintain back-end services, APIs, and automation workflows using Node.js, Python, and cloud platforms (Azure or AWS)</li><li>Build and manage data pipelines and ETL processes across Salesforce and cloud-based data platforms</li><li>Own integrations between Salesforce and enterprise systems, defining data contracts using REST/SOAP APIs and event-driven architectures</li><li>Customize and extend agent-based capabilities to deliver context-aware, high-performance employee experiences</li><li>Drive adoption of AI capabilities, including predictive analytics, copilots, and generative AI within marketing and sales workflows</li><li>Contribute to AI and ML initiatives, including the secure integration of large language models into enterprise processes</li><li>Develop and optimize modern front-end applications using advanced JavaScript frameworks such as React.js or Next.js</li><li>Serve as a key contributor in Agile teams, influencing technical direction, roadmap planning, and conducting peer code reviews</li><li>Mentor junior engineers and promote engineering best practices and technical excellence</li><li>Collaborate closely with product managers, data science teams, and business stakeholders to translate requirements into scalable solutions</li></ul><p><br></p>
<p><strong>What You’ll Need</strong></p><ul><li>3+ years of professional software engineering experience in a corporate environment</li><li>Strong foundation in object-oriented programming with hands-on experience in JavaScript, Python, Java, or C#</li><li>Working knowledge of modern web frameworks (React.js, Next.js, or similar), front-end state management, and performance optimization</li><li>Experience working in cloud environments (Azure or AWS) and with DevOps tools including Git and CI/CD pipelines</li><li>Demonstrated interest or hands-on experience integrating AI and ML technologies, including LLMs, into enterprise workflows</li><li>Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Cursor) strongly preferred</li><li>Strong architectural thinking, analytical skills, and problem-solving abilities</li><li>Excellent communication skills and the ability to collaborate across cross-functional teams</li></ul><p><strong>Bonus Qualifications</strong></p><ul><li>Advanced Salesforce development experience (complex Apex, asynchronous processing, Governor limit optimization, advanced LWC)</li><li>Experience extending agent-based CRM capabilities or implementing AI-enabled Salesforce features</li><li>Salesforce certifications (Platform Developer I/II, Admin, Agent, Data Cloud, or related)</li><li>Experience with ML models, MLOps concepts, or advanced automation frameworks</li><li>Expertise in Salesforce DevOps practices, automated testing, and CI/CD pipelines</li><li>Proven success leading AI or automation initiatives in business-critical environments</li><li>Passion for mentoring, teaching, and contributing to engineering communities</li></ul><p><br></p>
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- San Ramon, CA
- remote
- Permanent
-
85000.00 - 124000.00 USD / Yearly
- <p>Our client is building the next generation of intelligent, scalable enterprise applications at the intersection of Salesforce, AI, and automation. Their high-performing Marketing Applications team delivers mission-critical solutions that power large-scale operations, optimize business processes, and embed AI-driven insights across the organization.</p><p><br></p><p>They are seeking a <strong>Software Engineer II</strong> to independently design and deliver complex technical solutions while developing deep expertise across Salesforce, AI-enabled workflows, and enterprise integrations. This role is ideal for a proven engineer who enjoys architectural ownership, mentoring others, and working across a sophisticated technology ecosystem. Candidates from outside the Salesforce ecosystem are encouraged to apply if interested in specializing in these technologies.</p><p><br></p><p><strong>What You’ll Do</strong></p><ul><li>Independently design, develop, and deliver complex, scalable Salesforce applications and integrations using advanced Apex, Lightning Web Components (LWC), and declarative tools</li><li>Design and maintain back-end services, APIs, and automation workflows using Node.js, Python, and cloud platforms (Azure or AWS)</li><li>Build and manage data pipelines and ETL processes across Salesforce and cloud-based data platforms</li><li>Own integrations between Salesforce and enterprise systems, defining data contracts using REST/SOAP APIs and event-driven architectures</li><li>Customize and extend agent-based capabilities to deliver context-aware, high-performance employee experiences</li><li>Drive adoption of AI capabilities, including predictive analytics, copilots, and generative AI within marketing and sales workflows</li><li>Contribute to AI and ML initiatives, including the secure integration of large language models into enterprise processes</li><li>Develop and optimize modern front-end applications using advanced JavaScript frameworks such as React.js or Next.js</li><li>Serve as a key contributor in Agile teams, influencing technical direction, roadmap planning, and conducting peer code reviews</li><li>Mentor junior engineers and promote engineering best practices and technical excellence</li><li>Collaborate closely with product managers, data science teams, and business stakeholders to translate requirements into scalable solutions</li></ul><p><br></p>
- 2026-01-16T22:09:08Z