Solutions Engineer

Responsibilities

• Design, develop, and deploy complex, enterprise-grade solutions that span SaaS platforms, custom applications, and AI-enabled workflows.
• Serve as a subject matter expert in at least one core SaaS ecosystem (Salesforce, SnapLogic, Microsoft Power Platform) while maintaining full-stack engineering fluency across multiple languages and frameworks.
• Architect scalable and secure integrations across cloud and on-prem systems, ensuring reliability, compliance, and alignment with enterprise standards.
• Drive adoption of AI-assisted development tools to accelerate delivery and improve solution quality.
• Partner with business leaders, stakeholders, and Business Partners to translate strategic priorities into technical roadmaps and actionable solutions.
• Identify high-impact opportunities for automation and AI integration, balancing quick wins with long-term architectural value.
• Collaborate with AI Engineers to ensure seamless integration of custom-built systems with agentic workflows and monitoring frameworks.
• Contribute to BWE’s technology strategy by researching and evaluating emerging platforms, development frameworks, and integration patterns.
• Represent Solutions Engineering in cross-functional initiatives, ensuring solutions align with BWE’s digital transformation goals.
• Document solution architectures, technical standards, and reusable assets to strengthen organizational knowledge and reusability.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field, or equivalent practical experience.
• 6+ years of professional software engineering experience with significant work in full-stack development and enterprise SaaS customization.
• Proven expertise in extending and integrating at least one major SaaS platform (Salesforce, SnapLogic, Microsoft Power Platform) with APIs, connectors, or custom code.
• Proficiency in multiple programming languages and frameworks (e.g., JavaScript/TypeScript, Python, .NET, Node.js, React) with ability to mentor peers.
• Strong knowledge of system integration patterns, API management, and data transformation best practices.
• Experience with CI/CD pipelines, Git, DevOps practices, and automated testing frameworks in enterprise environments.
• Familiarity with cloud-native development on Azure (preferred) or equivalent platforms (AWS, GCP).
• Excellent analytical, problem-solving, and collaboration skills with ability to lead technical discussions and align solutions with business outcomes.