Description 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.
They are seeking a
Software Engineer II 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.
What You'll Do- Independently design, develop, and deliver complex, scalable Salesforce applications and integrations using advanced Apex, Lightning Web Components (LWC), and declarative tools
- Design and maintain back-end services, APIs, and automation workflows using Node.js, Python, and cloud platforms (Azure or AWS)
- Build and manage data pipelines and ETL processes across Salesforce and cloud-based data platforms
- Own integrations between Salesforce and enterprise systems, defining data contracts using REST/SOAP APIs and event-driven architectures
- Customize and extend agent-based capabilities to deliver context-aware, high-performance employee experiences
- Drive adoption of AI capabilities, including predictive analytics, copilots, and generative AI within marketing and sales workflows
- Contribute to AI and ML initiatives, including the secure integration of large language models into enterprise processes
- Develop and optimize modern front-end applications using advanced JavaScript frameworks such as React.js or Next.js
- Serve as a key contributor in Agile teams, influencing technical direction, roadmap planning, and conducting peer code reviews
- Mentor junior engineers and promote engineering best practices and technical excellence
- Collaborate closely with product managers, data science teams, and business stakeholders to translate requirements into scalable solutions
Requirements What You'll Need- 3+ years of professional software engineering experience in a corporate environment
- Strong foundation in object-oriented programming with hands-on experience in JavaScript, Python, Java, or C#
- Working knowledge of modern web frameworks (React.js, Next.js, or similar), front-end state management, and performance optimization
- Experience working in cloud environments (Azure or AWS) and with DevOps tools including Git and CI/CD pipelines
- Demonstrated interest or hands-on experience integrating AI and ML technologies, including LLMs, into enterprise workflows
- Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Cursor) strongly preferred
- Strong architectural thinking, analytical skills, and problem-solving abilities
- Excellent communication skills and the ability to collaborate across cross-functional teams
Bonus Qualifications- Advanced Salesforce development experience (complex Apex, asynchronous processing, Governor limit optimization, advanced LWC)
- Experience extending agent-based CRM capabilities or implementing AI-enabled Salesforce features
- Salesforce certifications (Platform Developer I/II, Admin, Agent, Data Cloud, or related)
- Experience with ML models, MLOps concepts, or advanced automation frameworks
- Expertise in Salesforce DevOps practices, automated testing, and CI/CD pipelines
- Proven success leading AI or automation initiatives in business-critical environments
- Passion for mentoring, teaching, and contributing to engineering communities
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