At Enable, we are transforming the supply chain with our cutting-edge rebate management software. We see rebates as a strategic advantage, strengthening partnerships, driving smarter decisions, and unlocking significant value across the entire supply chain – from manufacturers to consumers.
After securing $276M in Series A-D funding, we are positioned for continued, significant growth. Since the launch of our flagship product in 2016, we have been rapidly scaling our client base, product offerings, and built a team of top-tier talent committed to reshaping the industry.
Want a glimpse into life at Enable? Visit our Life at Enable page to learn how you can be part of our journey.

JOB SUMMARY

The new Enable AI R&D team is looking for a highly experienced software engineer who is passionate about building scalable, high-performance applications in a collaborative environment. As a Back-End Engineer at Enable, you will be responsible being part of a team delivering new AI product capabilities for our Enterprise SAAS Customers, by designing, developing, and maintaining the server-side components of our platform.
You will work closely with front-end developers, data engineers, data scientists, product managers, and other stakeholders to ensure the SAAS Platform systems are robust, scalable, and performant. Your work will directly impact the efficiency and reliability of the Enable platform while generating new product capabilities for our customers.
If you are a results-driven engineer looking to work in a fast-paced, collaborative environment while leveraging cutting-edge technologies, we encourage you to apply and be part of our innovative team!

REQUIRED EDUCATION AND EXPERIENCE

• Experience in designing and developing scalable, distributed, and high-performance cloud-based applications.
• Deep expertise in event oriented software patterns and practices
• Solid knowledge of Cloud Integration and API first strategies
• Deep proficiency in object-oriented programming principles and design patterns with a understanding of Functional Patterns a plus.
• Proficiency in SQL and NoSQL databases, with a strong understanding of data modeling and query optimization.
• Strong understanding of software development life cycle (SDLC) and Agile methodologies.

PREFERRED EDUCATION AND EXPERIENCE

• 6+ years of professional software development experience.
• Worked in AI Software development
• Designed and built AI first Platforms
• Experience working in a B2B SaaS environment, delivering enterprise-grade software solutions.
• Strong expertise in .NET (C#) and Azure cloud services.
• Familiarity with multiple software architecture design patterns.
• Proficiency with data warehouse technologies such as Snowflake.
• Hands-on experience with GitHub, CI/CD pipelines, and automated testing.
• Familiarity with containerization technologies such as Docker and Kubernetes.

• Develop and optimize cloud-native applications leveraging Azure services. Strong knowledge of Microsoft tech stack recommended.
• Work closely with Data Scientists, Product Managers, Designers, and other Engineers to drive product development and deliver customer-centric solutions.
• Participate in code reviews and ensure the delivery of high-quality, maintainable code.
• Provide mentorship and guidance to junior engineers, contributing to best practices and coding standards.
• Contribute to architectural decisions and technical designs to improve software quality and maintainability.
• Research and implement emerging technologies to enhance development efficiency and product quality.
• Implement secure coding practices and ensure adherence to industry security standards and best practices.
• Write great code. Ship great software