Software Engineer II

Who We Are

Are you a proven software engineer ready to lead complex technical initiatives and become a subject matter expert in the intersection of Salesforce, AI, and enterprise automation? Join our high-performing Marketing Applications team and play a critical role in designing and delivering the next generation of intelligent, scalable applications that drive core business success across Protiviti.

As a Software Engineer II, you will independently design and implement solutions that power large-scale marketing operations, optimize critical business processes, and embed deep AI-driven insights across the organization. You will leverage your expertise within the Salesforce platform and expand our ecosystem by designing and building robust integrations, advanced web applications, and scalable cloud-based services.

You will mentor junior engineers, set technical standards, and collaborate closely with product management and business stakeholders to translate strategic objectives into reliable, innovative software solutions. If you are passionate about driving architectural excellence, leveraging AI for maximum business impact, and mastering a complex technology ecosystem, this is the role for you.

If you are a highly motivated and experienced software engineer from outside the Salesforce ecosystem, apply if you’d like to specialize and learn these technologies.

What You’ll Do

• 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.

What You’ll Need

• 3 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 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) 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.

Bonus Points For

• Hands-on experience with advanced Salesforce platform development, including complex Apex triggers, asynchronous processing, Governor limit mitigation, and state-of-the-art Lightning Web Components development.
• Proven experience extending and optimizing Agentforce and applying Einstein Copilot or similar AI-enabled Salesforce/CRM tools to solve complex business problems.
• Salesforce Platform Developer or multiple advanced certifications (e.g. PD 1 / PD 2, Admin, Agentforce Specialist, Data Cloud Consultant).
• Experience building and deploying machine learning models or deep familiarity with the MLOps lifecycle.
• Expertise in Salesforce DevOps methodologies, advanced CI/CD pipelines, and automated testing frameworks.
• Proven track record of leading the successful technical implementation of AI/Automation projects in a business-critical environment.
• Passion for teaching, mentoring, and contributing to the open-source or internal development community.