Top Tech Jobs & Startup Jobs in Charlotte, NC

Designs and implements secure, scalable GCP solutions; leads cloud migration and modernization initiatives; builds GKE Kubernetes platforms; develops Terraform infrastructure; and implements CI/CD, automation, and SRE practices. Collaborates with enterprise clients, translates business needs into technical architectures, mentors team members, supports pre-sales, and helps adopt Google AI services including Vertex AI, BigQuery, and Dataflow.

Leads enterprise marketing automation consulting across discovery, pre-sales, architecture, delivery, and ongoing advisory. Designs AI-first Adobe Marketo Engage solutions, integrations, migrations, campaign architectures, lead management systems, and CRM-connected ecosystems. Develops proposals, business cases, proofs of concept, and implementation plans; mentors practitioners; supports practice growth and thought leadership; and manages strategic client relationships and complex engagements.

Design and lead Salesforce solutions spanning Sales Cloud and Marketing Cloud Account Engagement (Pardot). Scope projects, architect prospect-to-lead/contact sync, drive connector and data governance best practices, mentor consultants, and manage campaign automation, segmentation, and deliverability considerations.

Develop and support InterSystems IRIS and Caché applications for laboratory and healthcare interoperability. Responsibilities include designing ObjectScript classes and productions, building HL7 interfaces, developing APIs and data workflows, optimizing SQL and IRIS data structures, migrating Caché to IRIS, troubleshooting integrations, supporting deployments, and ensuring FDA and HIPAA compliance. The role also involves solution design, root-cause analysis, collaboration with stakeholders, mentoring, and limited onsite sessions.

Leads the strategy, architecture, and implementation of AI-enabled QA capabilities across internal practices and client engagements. Responsibilities include researching AI QA technologies, designing reference architectures, supporting sales and delivery, developing reusable accelerators, managing technology partnerships, creating marketing collateral, and mentoring QA teams. The role requires extensive QA and automation experience, hands-on AI/ML or GenAI expertise, consulting ability, executive communication, and experience with proposals, proofs of concept, demos, and technical solutioning.

Lead the design, configuration, deployment, and optimization of Oracle FCCS solutions. Translate finance requirements into scalable configurations, manage metadata and consolidation logic, support financial close processes, develop reports and dashboards, ensure GAAP/IFRS compliance, troubleshoot performance issues, and provide user training and ongoing support. The role also requires staying current with Oracle Cloud updates and using AI tools responsibly to improve productivity and workflows.

Lead Salesforce architecture for client implementations, specializing in CPQ or Revenue Cloud and multiple Salesforce Clouds. Responsibilities include defining architecture, writing user stories, estimating projects, leading Agile teams, supporting presales, developing proofs of concept, overseeing testing and releases, resolving technical dependencies, engaging stakeholders, and mentoring delivery teams. The role requires strategic leadership, client communication, and hands-on consulting across multiple projects.

Design and lead enterprise Salesforce architectures across multiple clouds, integrations, Data Cloud, Agentforce, AI capabilities, data migration, custom development, security, and DevOps. Partner with clients and stakeholders through workshops, discovery, solutioning, deployment, and technical reviews. Advise executive and technical audiences, support presales activities, mentor delivery teams, and ensure scalable, secure, high-performing implementations.

Lead enterprise Salesforce architecture across multiple client engagements, designing solutions with Salesforce Core, Agentforce, and Data Cloud. Advise executive stakeholders, facilitate discovery and design workshops, develop roadmaps and proofs of concept, estimate projects, guide Agile delivery teams, resolve risks, and mentor technical teams. Drive implementations from strategy through optimization while aligning technology capabilities with business objectives.

Lead the development and scaling of an AI-enabled software development lifecycle practice for regulated industries. Design cloud-agnostic AI platforms, enterprise architectures, compliance frameworks, model gateways, prompt governance, and evidence automation. Deliver rapid platform MVPs, architect solutions, develop proof-of-concepts and sprint features, and guide multiple Agile teams. The role also involves client presales, technical consulting, mentoring, offshore-team collaboration, practice development, and driving innovation across distributed engineering teams.