Director of Cloud Native Applications

Caylent

8d•Remote

About The Position

Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). We provide a full-range of AWS services including workload migrations and modernization, cloud native application development, DevOps, data engineering, security and compliance, and everything in between. At Caylent, our people always come first. We are a global company and operate fully remote with employees in Canada, the United States, and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien! We are seeking a seasoned Director of Cloud Native Applications to join our growing App Dev, AI, and ML practice. The ideal candidate brings a passion for modern software development, a strong customer orientation, and a proven ability to lead teams through complex technical engagements. They should also demonstrate a clear enthusiasm for AI-enabled delivery of software and ML, with the ability to champion practical uses of AI to enhance engineering productivity, solution quality, and customer outcomes. Your mission will be to guide project delivery, support escalations, enable our engineering teams, and collaborate with clients and sales leaders to shape high-impact solutions. You'll play a pivotal role in ensuring technical excellence, scaling our delivery capabilities, and helping customers bring modern, AI-accelerated applications to life in AWS. The Cloud Native Applications Delivery Leader will be joining the team responsible for leading, growing, and evolving our application development, AI, and ML practice. This individual will take part in shaping the technical vision, establishing and enforcing best practices, and ensuring the successful delivery of cloud native applications and AI-enabled solutions for clients of all sizes. The role requires deep expertise in application development practices, strong knowledge in AWS technologies, a strong business acumen, and the ability to lead large, diverse delivery teams in a fast-paced environment. The ideal candidate will also bring a forward-looking perspective on AI-enabled software delivery, with the ability to embed AI-powered tools and ways of working into delivery execution, engineering excellence, and client value creation.

Requirements

8+ years of experience in cloud engineering and software development, with at least 5 years in a leadership role.
Proven experience leading and scaling an engineering practice or department, ideally within an AWS-focused services company.
Proven experience leading and delivering large (multi-million dollar) software projects.
Deep expertise in AWS services, architectures, and best practices.
Deep expertise in software development patterns, architectures, and best practices.
Strong background in DevOps, Infrastructure as Code (IaC), and automation.
Excellent leadership, communication, and stakeholder management skills.
Experience working with enterprise clients across various industries.
Experience working with cross-practice teams (talent, sales, marketing, operations, etc.).
Experience building, delivering, and using AI products and solutions.

Nice To Haves

AWS Certifications.
Experience working in a client-facing environment.
Experience working in consulting or professional services.
Experience working in a product-focused SaaS company.

Responsibilities

Practice Leadership: Help define and execute the strategic vision for the Application Development, AI, and ML practice, ensuring alignment with company objectives, market opportunities, and AWS best practices.
Technical Excellence: Establish, evolve, and promote industry-leading methodologies, frameworks, architectures, and delivery patterns for modern applications, cloud-native platforms, and AI-enabled solutions.
People Management: Lead and mentor a team of 50+ software engineers, architects, AI, and consulting professionals, fostering a culture of innovation, continuous learning, engineering excellence, and practical AI adoption.
Delivery Excellence: Oversee the successful execution of customer engagements, ensuring high-quality delivery, strong customer satisfaction, operational excellence, and effective use of AI-powered tools and practices to improve speed, quality, and outcomes.
Partnership: Strengthen our collaboration with technology partners (AWS, Anthropic, etc.) by leveraging the latest technologies, partner programs, and innovation opportunities across application development, AI, and ML to enhance our service offerings.
Business Growth: Support pre-sales efforts, contribute to go-to-market strategies, and help drive revenue growth by aligning technical capabilities, AI-enabled offerings, and customer needs with business opportunities.
Innovation & Thought Leadership: Stay ahead of industry trends in application development, AI, and ML; drive innovation within the practice; and represent the company in conferences, webinars, customer conversations, and partner-related events (AWS, Anthropic, etc.).
AI & Emerging Technologies Leadership: Champion the development and implementation of AI-powered solutions for both internal delivery acceleration and customer-facing outcomes, while helping teams identify practical, responsible, and high-value ways to apply emerging technologies.