
Director Senior Manager Engineering
Remote
Full Time
#Engineering
#Engineering Leadership
#Python
#Cloud Platforms
#Microservices Architecture
#Data Engineering
#AI
#Enterprise Software
#Agile Methodologies
#Kubernetes
At Resilinc, we are redefining how the world approaches supply chain intelligence. By leveraging Agentic AI, our platform empowers global enterprises to predict disruptions and take decisive action before operations are impacted. We are proud to be recognized as a leader in the 2025 Gartner Magic Quadrant for Supply Chain Risk Management, serving marquee clients across the life sciences, aerospace, and automotive industries. We are a mission-driven, fully remote team dedicated to protecting critical global goods, and we are looking for leaders who want to build technology that truly matters.
About the Role
We are seeking a Director or Senior Manager of Engineering to join our team on a full-time basis. In this role, you will lead a high-performing engineering group responsible for our next-generation AI-powered data platform. You will balance hands-on technical guidance with strategic people management, ensuring we build resilient, scalable systems that support our rapid growth and commitment to enterprise-grade supply chain solutions.
Key Responsibilities
- Lead and mentor a team of 6-10 engineers, fostering a culture of technical excellence, career development, and inclusive collaboration.
- Partner with product managers and architects to translate complex business requirements into scalable, reliable technical solutions.
- Establish and refine engineering processes, including CI/CD pipelines, testing frameworks, and code review standards to support rapid and secure deployment cycles.
Requirements
To be successful in this position, you should bring the following qualifications:
- Over 12 years of software engineering experience, with at least 5 years in a management capacity within SaaS or enterprise software environments.
- Strong technical proficiency in Python or Java, cloud platforms, microservices architecture, and data engineering pipelines.
- Proven experience managing teams building AI-enabled products, including familiarity with ML model integration and large-scale data processing.
- Expertise in building secure, multi-tenant enterprise systems.
- A solid understanding of Agile methodologies and a track record of scaling engineering teams.
- Familiarity with Kubernetes and event-driven architectures is considered a plus.
Location
This position is remote and can be performed from anywhere.
Compensation and Benefits
We believe in fostering a culture of ownership and purpose. As part of our team, you will enjoy the following benefits:
- The flexibility of a fully remote work environment.
- Access to comprehensive benefits focused on your health, wealth, and overall well-being.
- The opportunity to shape the technical direction and engineering culture of an industry-leading AI platform.



