NetCarrots Loyalty Services
Website:
netcarrots.com
Job details:
Role Overview
We are seeking a highly hands-on engineering leader who can help transform established loyalty and engagement products into AI-first, multi-tenant SaaS platforms while mentoring a lean engineering team and actively contributing to architecture, code, and delivery.
This role acts as the CTO’s operational second-in-command. The successful candidate will be expected to understand existing products deeply, lead a team of senior and junior engineers, drive engineering excellence, accelerate delivery through AI-assisted development practices, and help shape the long-term platform strategy of the business.
This is not a pure management role. The ideal candidate should be comfortable spending significant time reviewing code, solving complex technical problems, designing architecture, and guiding implementation.
Key Responsibilities
• Lead and mentor the engineering team across product development and platform initiatives.
• Act as the CTO’s trusted execution partner.
• Gain deep understanding of existing products, architecture, customer requirements, and technical debt.
• Drive the evolution of products toward multi-tenant SaaS platforms.
• Define and enforce engineering standards, architecture principles, and coding practices.
• Conduct architecture reviews and code reviews.
• Personally contribute to critical design and implementation activities.
• Improve engineering productivity through modern AI-assisted development workflows.
• Partner with Product, Business Analysts, QA, and Leadership to deliver business outcomes.
• Drive release planning, sprint execution, quality, and delivery predictability.
• Recruit, mentor, and develop engineering talent.
• Establish scalable DevOps, observability, testing, and deployment practices.
Technical Expectations
• Strong expertise in C#, .NET Core, ASP.NET Core, SQL Server, and distributed systems.
• Experience with microservices, event-driven architectures, APIs, and cloud-native systems.
• Strong understanding of SaaS and multi-tenant platform design.
• Experience with tool like Docker, Kubernetes, CI/CD, Azure and/or AWS.
• Familiarity with Kafka, RabbitMQ, or similar messaging systems.
• Strong database design and performance optimization skills.
• Ability to evaluate and modernize existing architectures pragmatically.
AI-First Engineering Requirements
Candidates should demonstrate practical use of AI tools to accelerate software delivery.
Examples include:
• ChatGPT, GitHub Copilot, Cursor, Claude, Gemini, Windsurf, or similar tools.
• AI-assisted architecture design.
• AI-assisted coding and refactoring.
• AI-driven testing and test generation.
• AI-assisted debugging and root-cause analysis.
• Documentation and knowledge management using AI.
• Agentic workflows and engineering automation.
Candidates should be able to show measurable productivity improvements achieved through AI-assisted engineering.
Good-to-Have Domain Experience
Experience working on loyalty and rewards ecosystems, including loyalty platforms, channel incentive programs, dealer/retailer engagement solutions, points management systems, campaign engines, redemption workflows, gamification platforms, and B2B SaaS products.
Success Measures – First 12 Months
• Gain complete understanding of current products and architecture.
• Become a trusted leader for the engineering team.
• Improve delivery velocity and engineering quality.
• Introduce AI-assisted engineering practices.
• Define and execute a multi-tenant platform roadmap.
• Reduce critical technical debt.
• Launch meaningful AI-powered product capabilities.
- Strengthen engineering culture and technical leadership.
Click on Apply to know more.
