Jobs at Caylent

The Director of Cloud Native Applications will lead a team, oversee project delivery, and shape the technical vision for AI-enabled software solutions on AWS, ensuring high-quality delivery and business growth.

The Customer Solutions Architect will lead architecture sessions, propose solutions, author proposals, and engage with customers to promote AWS services.

The Director of Cloud Native Applications leads the application development, AI, and ML practice by guiding project delivery, managing teams, and ensuring technical excellence in AWS environments.

The Customer Solutions Architect will lead architecture sessions, author proposals, and educate customers about AWS services - balancing technical advice with customer needs.

The Director of Cloud Native Applications will lead teams in application development, AI, and ML practices, ensuring high quality and customer satisfaction. They will also shape technical vision and promote innovation in AI-enabled solutions while managing a large team of professionals.

The Director of Cloud Native Applications will guide project delivery, manage a team of engineers, and shape AWS-focused software development and AI practices, ensuring high-quality outcomes and customer satisfaction.

Lead architecture design sessions with customers, propose AWS solutions, author proposals, and educate customers on AWS best practices.

Lead and mentor a team in delivering cloud-native applications and AI-enabled solutions, driving business growth and innovation in application development.

Own full client accounts end-to-end: discovery, architecture, scoping, delivery, and close. Design and implement production-grade AI/LLM solutions or workforce AI adoption programs, manage scope and risks, deliver documented, maintainable software/automations, and contribute reusable patterns and IP back to the practice.

Design and implement enterprise contact center transformations using Amazon Connect, generative AI (Bedrock/Claude), serverless backends, and full-stack React tooling. Build contact flows, AI agents, CDK infrastructure, observability, CI/CD and migration solutions; collaborate with customers, mentor engineers, and ensure production reliability, security, and accessibility.

Build and operate enterprise Amazon Connect contact centers and AI agents. Implement generative AI (Bedrock/Claude), serverless backends, CDK IaC, observability, testing, and integrations with CRMs and analytics. Own delivery from code to production, mentor engineers, and support customer-facing technical workstreams.

Build and ship enterprise Amazon Connect contact center transformations combining generative AI agents, serverless backends, CDK IaC, React agent tooling, observability, and migrations. Lead implementation quality, debug production issues, and collaborate with customer engineering and practice teams.

Design, build, and operate enterprise Amazon Connect contact center solutions combining conversational generative AI, serverless backends, and full‑stack React tooling. Implement AI agents, contact flows, observability, IaC (CDK/Terraform), analytics lakes, migrations from legacy platforms, and support production cutovers while collaborating with customers and mentoring junior engineers.

Lead hands-on enterprise contact center transformations using Amazon Connect and generative AI. Build AI agents, contact flows, serverless backends, CDK infrastructure, observability, and full-stack agent/admin tooling. Own implementation, testing, production cutovers, and mentor junior engineers while collaborating directly with customer teams and contributing reusable practice assets.

Lead architecture, design, and delivery of cloud-native AWS applications; translate customer requirements into engineering backlogs; guide Agile ceremonies; write production-quality code and tests; configure AWS resources, CI/CD, IaC, monitoring, and automation; mentor and coach engineers; troubleshoot dev/test/prod environments and integrate generative AI where appropriate.

Lead architecture and delivery of cloud-native AWS applications: gather requirements, create backlogs, delegate work, design scalable systems, implement CI/CD and IaC, write production code and tests, troubleshoot environments, mentor engineers, and integrate generative AI/LLM technologies.

Lead architecture and delivery of cloud-native AWS applications: translate requirements into backlogs, delegate and mentor engineering teams, design scalable systems, implement CI/CD and IaC, write production code and automated tests, troubleshoot environments, and integrate modern and generative AI technologies.

Sell complex cloud and DevOps consulting to SMB prospects via outreach, calls, and meetings. Design and run nurture campaigns, coordinate with marketing, engage AWS partners, craft proposals/SOWs, negotiate contracts, and drive new revenue and account expansion. Attend cloud/Kubernetes/DevOps training, target closing $500K+ ARR deals, and travel ~10-25%.

As a Principal Strategist, you will guide financial services clients in their cloud transformation journeys by developing actionable plans, enhancing adaptability, and driving growth of strategic accounts.

The AI/ML Engineering Manager leads a team of ML engineers and architects, managing hiring, performance, and customer engagements while providing technical guidance in ML operations and architecture.