Engineering Manager

Summary

Join Sutherland as a Conversational AI leader to mentor engineers, build AI projects, and develop scalable platforms. Lead engineering teams, define technical requirements, and integrate with various systems. Develop standards for scalability and system resiliency. Enhance tools and processes to accelerate development and improve teamwork. Collaborate with diverse teams across multiple time zones. Work with data scientists and external partners to improve AI/ML capabilities. Provide thought leadership on technologies and development processes. This remote role requires occasional travel.

Requirements

• 10+ years of experience leading and building scalable web products, services and platforms
• Experience building large scale application architectures in complex environments
• Experience with cloud-native builds working with API end-points, microservices and contemporary web architectures
• Experience with modern dev/ops architectures and tools
• Fluent in several of these languages: NodeJS, Javascript, Python, Rails, etc
• You have full-stack cloud infrastructure knowledge with appreciation of high availability systems across wide-ranging environments, including legacy systems
• Ownership mindset: Reliable, takes pride in the quality of their work
• Hunger: A desire to explore and raise the bar in building conversational experiences and eagerness to embrace the new and unknown
• Communicator: Skills to communicate with stakeholders on engineering, product, business and client teams
• Must have flexibility to work with distributed teams across multiple time zones

Responsibilities

• Mentor/grow/retain engineers and strengthen relationships across internal and external and local and remote resources
• Bring Conversational AI projects to life: Lead/organize the engineering team, define architectural/technical requirements, develop and improve the platform, integrate with other systems, collaborate with Sutherland Global and client teams to gather technical requirements, support, educate
• Develop standards to ensure scalability, system resiliency and performance
• Enhance tools and processes to accelerate development, improve teamwork, increase efficiency, capabilities, robustness, quality, etc
• Work with a diverse team across multiple time zones (in-house & offshore)
• Work with Data Scientists, Machine learning experts and external partners to drive improvements to the AI/ML capabilities of the platform
• Provide thought leadership on technologies, development and collaboration processes, industry standard methodologies

Preferred Qualifications

• Prior experience across different working environments, including: agency/dev shop, enterprise, startups and innovation divisions a plus
• Prior experience with Chatbot/IVR, ML/AI development, messaging apps and platforms development a plus
• Prior experience with data science, ML/AI development, Amazon Lex, Google DialogFlow, meya.ai, Watson a plus

Benefits

• Role is remote
• Occasional global and domestic travel may be required