Jobs at Caylent

Administer and optimize Salesforce and Certinia CRM, PSA, and ERP environments. Manage users, permissions, data, configurations, workflows, automation, upgrades, integrations, packages, documentation, training, and vendor relationships. Partner with cross-functional stakeholders to translate business requirements into scalable solutions, improve data integrity and productivity, troubleshoot issues, and support adoption across sales, service delivery, finance, IT, and operations.

Administer and optimize Salesforce and Certinia CRM, PSA, and ERP environments. Manage users, permissions, data, workflows, custom objects, automation, integrations, upgrades, packages, documentation, training, and vendor relationships. Partner with stakeholders across Sales, Finance, Service Delivery, IT, and Operations to translate requirements into scalable solutions, troubleshoot issues, improve processes, and promote platform adoption.

Administer and optimize Salesforce and Certinia CRM, PSA, and ERP environments. Responsibilities include user access management, configuration, automation, data maintenance, upgrades, testing, documentation, training, vendor coordination, package evaluation, troubleshooting, and continuous improvement. The role partners with Sales, Finance, Service Delivery, IT, and Operations stakeholders to translate business needs into scalable solutions and improve platform adoption and business performance.

Owns architecture and delivery of high-performance frontend applications on AWS, from customer discovery through launch. Designs browser, edge, and API layers using React, Next.js, GraphQL, AppSync, CloudFront, WAF, and Terraform. Leads technical discovery, documents architecture, guides delivery ceremonies, reviews code and designs, mentors engineers, evaluates emerging AI technologies, and partners with design, backend, DevOps, project management, and customer stakeholders.

Lead the product workstream in client AI engagements: assess product teams, design future-state PDLC, coach PMs on AI-native workflows, scope prototypes, write executable specs and Sprint Charters, design PM training, and feed field insights into agent tooling and methodology improvements.

Lead the product workstream in client engagements to assess current PDLC, design future-state AI-native product development, coach PMs, scope and write executable specs for prototypes and MVPs, shape agentic product tooling, and feed field learnings back into methodology and pre-sales.

Manage customer experience initiatives by coordinating customer reviews, collecting survey feedback, analyzing CSAT and NPS data, identifying customer sentiment trends, and translating findings into actionable recommendations. Create dashboards and reports, present insights to executives and cross-functional teams, and connect customer feedback to business impact. The role requires strong communication, analytical, reporting, stakeholder presentation, and customer relationship skills in a remote professional services environment.

Drives customer satisfaction initiatives by coordinating customer reviews, collecting survey feedback, analyzing CSAT and NPS metrics, identifying qualitative themes, and translating findings into actionable recommendations. Creates dashboards and reports, presents customer sentiment and business-impact insights to executives and cross-functional leaders, and tracks performance against experience benchmarks. The role also manages data collection processes, engagement coverage, and customer experience review meetings.

Manage customer experience initiatives by coordinating customer reviews, collecting survey feedback, analyzing CSAT and NPS data, identifying sentiment trends, and producing dashboards and reports. Present actionable insights and recommendations to executives and cross-functional leaders to improve satisfaction and loyalty. The role requires customer experience expertise, analytical and reporting skills, CRM and feedback-platform familiarity, strong communication, and up to 25% travel.

Leads end-to-end technical project management for Amazon Connect and AWS contact center implementations. Responsibilities include planning, client engagement, scope and budget management, technical solution oversight, integrations, AI/ML feature delivery, testing, risk mitigation, knowledge transfer, continuous improvement, and mentoring. The role requires strong AWS expertise, contact center technology knowledge, and the ability to coordinate cross-functional teams through implementation and client handoff.

Lead end-to-end technical project management for Amazon Connect and AWS contact center implementations. Manage client relationships, scope, schedules, budgets, risks, technical integrations, testing, and handoff. Oversee AWS-based contact flows, AI/ML features, analytics, CI/CD, security, and solution development while coordinating cross-functional teams. Develop implementation best practices, support knowledge transfer, present solutions to clients, and mentor junior team members.

Lead the design and implementation of complex cloud-based data solutions for customers. Define strategic data roadmaps, advise clients, support pre-sales engagements as a data engineering subject matter expert, interview and mentor technical candidates, and oversee data standards and operating procedures. The role requires deep AWS data expertise, experience designing complex data systems, and knowledge of traditional and modern data technologies, including Spark, NoSQL, SageMaker, Bedrock, DataOps, and infrastructure automation.

Leads the architecture and implementation of complex AWS cloud data solutions. Defines client data strategy roadmaps, supports pre-sales engagements as a data engineering subject matter expert, mentors technical teams, interviews candidates, and establishes data standards and operating procedures. The role requires extensive experience across traditional and modern data platforms, including data modeling, databases, BI, governance, big data, machine learning, generative AI, DataOps, infrastructure automation, and CI/CD.

Lead the architecture and implementation of complex cloud-based data solutions for clients. Define strategic data roadmaps, support pre-sales engagements as a data engineering subject matter expert, guide architects and engineers, conduct technical interviews, and establish data standards and operating procedures. The role requires extensive AWS experience, complex data system design expertise, and knowledge of traditional and emerging data technologies, including big data, machine learning, generative AI, DataOps, and automation.

Lead client cloud architecture engagements, design scalable and secure AWS environments, and guide re-platforming, refactoring, automation, and Infrastructure as Code initiatives. Build observability and monitoring solutions with AWS and partner tools, establish runbooks, improve reliability and cost efficiency, and collaborate with CloudOps, DevOps, security, and 24x7 response teams. Lead implementation teams, mentor engineers, communicate with clients, conduct code reviews, and contribute to consulting, documentation, certifications, and thought leadership.

Designs, implements, and supports scalable AWS cloud solutions for clients, including cloud-native, serverless, IoT, observability, monitoring, automation, security, and cost optimization. Partners with architects, delivery managers, CloudOps, DevOps, security teams, customers, and vendors. Performs code reviews, develops infrastructure and software, creates runbooks, coaches team members, contributes to technical content and certifications, and participates in Agile delivery. Occasional travel and rotating shifts may be required.

Lead client cloud architecture engagements and cross-functional implementation teams. Design scalable, secure, reliable, and cost-efficient AWS architectures; develop Infrastructure as Code, automation, observability, monitoring, runbooks, and remediation workflows. Guide cloud migration, re-platforming, refactoring, and continuous improvement initiatives. Coach engineers, perform code reviews, collaborate with DevOps and security teams, advise clients, and contribute to technical thought leadership, documentation, presentations, and community efforts.

Designs, implements, and supports scalable AWS cloud solutions for clients. Responsibilities include cloud-native, serverless, and IoT backend development; infrastructure automation; observability using AWS and partner tools; monitoring, logging, tracing, runbooks, and incident reduction. The engineer collaborates with architects, CloudOps, DevOps, security teams, and customers, performs code reviews, mentors teammates, contributes to documentation and open source, and participates in client presentations and occasional travel.

Build and deliver AWS cloud solutions for clients, including cloud-native, serverless, IoT, and automated architectures. Design observability, monitoring, logging, tracing, runbooks, and incident-response automation using AWS and partner tools. Collaborate with CloudOps, DevOps, security, architects, and customers to improve reliability, security, and cost efficiency. Perform coding, reviews, research, documentation, technical presentations, mentoring, and client consulting while contributing to Agile delivery and cloud best practices.

Leads client cloud architecture engagements, AWS implementations, re-platforming, refactoring, and infrastructure automation. Designs reliable, secure, cost-efficient architectures and observability solutions using AWS and partner tools. Establishes monitoring, runbooks, and remediation automation while partnering with CloudOps, DevOps, and security teams. Coaches engineers, conducts code reviews, supports Agile delivery, presents technical decisions to clients, and contributes to consulting, documentation, certifications, and community initiatives.