Jobs at Caylent

Analyze workforce demand, capacity, utilization, staffing, skills, pipeline, and delivery risks. Manage resource-allocation workflows, develop workforce intelligence, recommend staffing and hiring actions, escalate operational exceptions, and support delivery operations. Partner with Delivery, Sales, Talent, and Finance while improving processes, data integrity, automation, and operational decision-making.

Analyzes workforce demand, capacity, utilization, staffing, skills, pipeline, and delivery risks. Manages resource-allocation workflows, supports forecasting and delivery operations, identifies operational exceptions, and provides data-driven recommendations to leadership. Partners with Delivery, Sales, Talent, and Finance to improve workforce planning and decision-making. Uses AI, automation, analytics, and operational systems to improve data quality, reduce manual work, and implement scalable process improvements.

Analyzes workforce demand, capacity, utilization, skills, staffing, forecasting, and delivery risks. Partners with Delivery, Sales, Talent, Finance, and other teams to create workforce plans, resolve operational exceptions, and provide decision-ready insights. Manages resource-allocation workflows, operational governance, data integrity, and delivery operations. Uses analytics, AI, automation, and operational systems to improve workflows, identify trends, and support scalable business decisions.

Build and support enterprise Amazon Connect contact center solutions using conversational AI, Amazon Bedrock, Claude, serverless AWS services, TypeScript, Python, and React. Develop contact flows, AI agents, routing, analytics, custom agent tools, infrastructure as code, CI/CD pipelines, automated tests, monitoring, and security controls. Lead production deployments and migrations, troubleshoot incidents, collaborate directly with customer engineering teams, mentor engineers, contribute reusable platform assets, and support technical presales activities.

Build and support enterprise Amazon Connect contact center solutions using generative AI, serverless AWS services, TypeScript, Python, React, and infrastructure as code. Responsibilities include developing AI agents, contact flows, routing, analytics, portals, integrations, CI/CD pipelines, monitoring, security controls, testing, migrations, and production cutovers. The role involves customer collaboration, architecture contributions, mentoring, incident response, accessibility compliance, and occasional pre-sales support.

Build and support enterprise contact center solutions using Amazon Connect, generative AI, serverless AWS services, and full-stack TypeScript, Python, and React development. Create conversational AI agents, contact flows, integrations, infrastructure-as-code, CI/CD pipelines, automated tests, observability, and accessibility-compliant tooling. Collaborate directly with customers, lead technical sessions, troubleshoot production systems, contribute to architecture decisions, mentor engineers, and support proofs of concept and knowledge transfer.

Design and harden enterprise Databricks lakehouse platforms: workspace and permission architecture, ingestion and streaming pipelines, Unity Catalog integration, CI/CD and automation (Terraform/ConfigOps), governance, cost and performance optimization, documentation, and mentoring delivery teams to enable safe self-service and production readiness.

Design and harden enterprise-scale Databricks data platforms: workspace/persona models, Unity Catalog integration, batch and real-time PySpark pipelines, CI/CD and Terraform automation, governance guardrails, cost and performance optimization, migration planning, and stakeholder-facing architectural documentation and roadmaps. Mentor delivery teams and ensure production readiness and scalability.

Design and harden enterprise-scale Databricks lakehouse platforms on AWS. Lead workspace consolidation, governance, CI/CD/ConfigOps, streaming/batch pipeline design with PySpark, Unity Catalog integration, performance and cost optimization, documentation, and mentor delivery teams to enable governed self-service.

Senior QA Engineer responsible for designing and executing test strategies for Amazon Connect contact centers, building manual and automated Playwright/Cypress/Selenium suites across UI, API and serverless backends, validating migrations and production readiness, running UAT, incident triage, and mentoring junior QA engineers.

Build and modernize production cloud-native applications, initially focusing on .NET Framework, modern .NET, and C#. Collaborate with architects, project managers, software teams, and customers to gather requirements, make technical decisions, and deliver AWS solutions. Develop AI-driven testing and expand into additional languages, frameworks, cloud services, and AI technologies. Support migrations including WebForms to Blazor, Windows Services to Docker/ECS, IIS to Linux, and MSMQ to RabbitMQ.

Develop and modernize production applications using .NET, C#, AWS, and cloud-native architectures. Collaborate with architects, project managers, sales, and clients to gather requirements, make technical decisions, and deliver software solutions. Perform .NET migrations, containerization, messaging modernization, AI-driven testing, and application architecture work while expanding into additional languages, AWS services, and AI technologies. The role is fully remote and may involve up to 25% travel.

Build and modernize cloud-native client applications with a strong .NET and C# focus. Collaborate with architects, project managers, sales, and customers to gather requirements, make technical decisions, deliver production-ready AWS solutions, and implement AI-driven testing. Work across .NET Framework, modern .NET, cloud services, additional programming languages, frameworks, and AI technologies as client engagements evolve. The role is fully remote and may require up to 25% travel.

Lead architecture and delivery of complex, AI-first cloud-native software solutions for enterprise clients. Responsibilities include requirements gathering, architectural decision-making, backlog development, discovery sessions, solution documentation, AI-driven testing, mentoring engineers, risk escalation, executive communication, and pre-sales support. The role requires deep AWS and software development expertise, experience with scalable architectures and integrations, and the ability to lead high-stakes professional services engagements.

Lead architecture and delivery of large-scale, AI-first cloud-native software solutions for enterprise clients. Responsibilities include requirements gathering, technical decision-making, backlog development, architecture design, hands-on development, AI-driven testing, stakeholder communication, risk escalation, mentoring, status reporting, and pre-sales support. The role requires deep AWS and software development expertise, experience with complex integrations and modernization, and the ability to lead high-stakes consulting engagements.

Lead complex enterprise cloud-native software engagements, designing AI-first solutions, gathering requirements, making architectural decisions, and guiding delivery teams. Collaborate with client leadership, engineers, sales, and project managers; create architecture designs, oversee testing, mitigate delivery risks, communicate status, and support pre-sales. Mentor engineers and contribute hands-on across AWS, backend development, integrations, databases, microservices, and emerging AI technologies.

Lead AI engagements, shaping strategy and architecture. Engage with various stakeholders, design AI operating models, and facilitate workshops. Drive expansion opportunities and contribute to internal frameworks.

Lead AI strategy and architecture engagements, design AI operating models, and facilitate executive communication while ensuring successful implementation with a Forward Deployed Engineer.

Lead end-to-end technical project management for Amazon Connect and AWS contact center implementations. Responsibilities include client engagement, project planning, scope, budget, risk management, technical solution oversight, integrations, testing, analytics, CI/CD, knowledge transfer, continuous improvement, and mentoring. The role requires strong AWS and contact center expertise, project management capabilities, and communication skills. It is fully remote and may require up to 25% travel.

Lead end-to-end technical project management for AWS Amazon Connect contact center implementations. Manage scope, schedules, budgets, risks, client relationships, technical integrations, testing, and handoffs. Oversee contact flows, AI/ML features, analytics, CI/CD, security, and solution scalability while coordinating cross-functional teams. Develop implementation assets, improve delivery methods, present solutions to clients, and mentor junior team members.