AI/ML Engineering Manager leading ML teams and complex customer engagements at Caylent, an AI - first AWS cloud services company. Shaping production ML architecture, MLOps standards, and pre - sales strategy.
About the role
- Engineering Manager leading distributed teams building Auvik’s cloud-based network management software. Owning reliable, scalable systems and delivery for Auvik’s Network Management product.
Responsibilities
- Lead and develop an engineering team responsible for Auvik’s core Network Management technology
- Own the health, performance, reliability, scalability, and ongoing evolution of foundational production systems
- Lead a team while fostering growth, accountability, and a strong team culture
- Own team outcomes and ensure delivery of high-quality solutions that create customer and business value
- Partner with Product Management to shape priorities, make tradeoffs, and execute roadmap initiatives
- Collaborate with stakeholders and communicate progress, risks, and decisions
- Drive engineering excellence through best practices, tools, and efficient development processes
- Provide technical guidance and support the evolution of microservices and modern frameworks
- Recruit, onboard, and develop engineering talent
- Manage and scale distributed teams across locations
- Strengthen agile practices and improve delivery through CI/CD and modern workflows
- Ensure reliable production systems through incident and change management
Requirements
- A few years of experience leading and developing engineering teams
- Track record of building strong, accountable, and high-performing teams
- Experience working with distributed teams and scaling engineering organizations
- Ability to operate with ownership, make sound decisions, and navigate tradeoffs in a fast-moving environment
- Strong product and business sense
- Solid understanding of agile methodologies and modern software delivery practices
- Experience operating and supporting production systems, with an emphasis on reliability and scalability
- Ability to provide technical guidance and contribute to architectural and system design discussions
- Strong communication skills and ability to collaborate and influence across teams
- Ability to recruit, mentor, and retain top engineering talent
- Bonus: experience in network management or monitoring
- Bonus: experience with device management or identification
- Bonus: experience with network automation
- Backend technologies: Go, Java, Scala
- Frontend technologies: React, TypeScript, GraphQL
- Infrastructure and data technologies: Kafka, Kubernetes, AWS
- Experience with relational databases, NoSQL and document stores, and OLAP systems
- Experience with logging, metrics, and tracing across distributed systems
Benefits
- Stock options for all full-time employees
- Comprehensive health and dental benefits plan
- Wellness spending account
- GRSP matching program
- Flexible paid time off
- Paid parental leave program
- Remote working subsidies
- Ongoing feedback from leadership
- Thorough and informative onboarding process
- Career development programs
- Flexible work-from-home arrangements
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