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Aris Infra

Posted 7 Oct 2026

Engineering Leader

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Employment
Full time
Team
Software Engineering
Posted
7 Oct 2026

About the role

We are looking for an Engineering Leader to lead the next phase of ArisInfra's technology evolution. This is a strategic leadership role responsible for scaling our engineering organization, rearchitecting systems for national growth, embedding AI-driven intelligence into our platform, and building a resilient, high-performance technology foundation. You will work closely with the executive team and play a central role in shaping ARIS into a category-defining infra-tech platform.


The core responsibilities for the job include the following:


Engineering Vision and Strategy:

  • Define and execute the long-term technology roadmap aligned with business objectives.
  • Transition and scale the current MVP architecture into a robust, modular, and enterprise-grade platform.
  • Establish engineering best practices across architecture, security, DevOps, QA, and reliability.
  • Drive a tech-first culture that prioritizes innovation, speed, ownership, and accountability.
  • Partner with product, finance, supply, and operations leaders to deliver measurable business impact.


Platform Architecture and Scalability:

  • Architect systems for high availability, scalability, and resilience.
  • Lead modernization of backend and frontend systems.
  • Drive cloud-native infrastructure (AWS preferred).
  • Ensure strong data infrastructure for real-time visibility, reporting, and analytics.
  • Implement robust DevOps, CI/CD, and monitoring frameworks.


AI and Data Intelligence:

  • At ARIS, technology is not just about digitization; it is about intelligence. You will lead the integration of AI and advanced analytics across the platform, including:
  • Predictive demand forecasting and supply optimization.
  • AI-driven pricing intelligence and margin optimization.
  • Intelligent credit underwriting and risk modeling for embedded finance.
  • Automation of procurement workflows using AI-led orchestration.
  • Leveraging GenAI to improve internal productivity, decision-making, and customer experience.
  • Building scalable ML pipelines and production-ready model deployment frameworks.
  • Your mandate is to make ARIS not just tech-enabled but intelligence-driven


Product Engineering and Delivery:

  • Oversee the full product development lifecycle from ideation to deployment.
  • Deliver high-quality, secure, and performant products on schedule.
  • Design intuitive user experiences for complex procurement and financing workflows.
  • Ensure strong alignment between the product roadmap and engineering execution.
  • Introduce metrics-driven engineering processes to track velocity, reliability, and business impact.


Team Building and Leadership:

  • Build and scale a high-performing engineering team.
  • Hire, mentor, and develop strong technical leaders.
  • Establish a culture of technical excellence and first-principles thinking.
  • Foster cross-functional collaboration and transparency.
  • Create succession and leadership depth within the engineering organization.


Requirements:

  • Strong computer science fundamentals and system design expertise.
  • 8-12 years of experience in software engineering, with significant leadership experience.
  • Hands-on experience building enterprise-grade systems in Java, Node.js, or equivalent (backend), and React or modern frameworks (frontend).
  • Experience with distributed systems and scalable architectures.
  • Cloud-native experience (AWS preferred).
  • Exposure to data platforms, analytics systems, and ML deployment frameworks.
  • Full-stack experience is a plus.


Leadership Experience:

  • Proven experience leading engineering teams in high-growth environments.
  • Experience scaling products from MVP to large-scale production systems.
  • Experience working closely with executive leadership.
  • Demonstrated ability to translate business goals into technical execution.


Mindset and Attributes:

  • Builder mentality with strong ownership orientation.
  • Data-driven decision-maker.
  • Comfortable operating in ambiguity and high-growth environments.
  • Strong communication and stakeholder management skills.
  • Passion for solving systemic, real-world problems using technology.

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