Top Tech Jobs & Startup Jobs in Charlotte, NC

Build and maintain SQL-based marketing analytics infrastructure, data models, dashboards, and reporting. Analyze marketing channels, affiliates, conversion funnels, cohorts, revenue, profitability, and partner performance. Translate complex findings into actionable recommendations for budget allocation and optimization. Ensure data quality, governance, documentation, and metric consistency while partnering cross-functionally with Marketing, Sales, Finance, Operations, Product, and Technology. The role is a hands-on individual contributor with potential responsibility for mentoring or managing one analyst.

Designs, deploys, and troubleshoots enterprise cloud and hybrid network infrastructure across Azure, OpenShift, corporate offices, and security platforms. Administers FortiGate, FortiSASE, Cisco Meraki, Cloudflare, DNS, load balancing, ingress controllers, and Kubernetes networking. Partners with application, security, and cloud teams on deployments and incident response, creates network documentation, manages monitoring and alerting, and performs changes under established procedures.

Coordinates training sessions, webinars, workshops, communications, attendance tracking, feedback collection, and training materials. Administers the LMS, including course uploads, user management, troubleshooting, learner support, progress monitoring, and reporting. Collaborates with subject matter experts, IT, and stakeholders to update instructional content and improve learning programs. Provides logistical support and assists with training development in a fast-paced remote environment.

Supports compensation programs, job description governance, market pricing, pay equity analysis, compensation reporting, dashboards, annual merit and bonus processes, and employment documentation. Administers Payscale and compensation analytics in AxiomHRS while validating sensitive HR data across systems. Partners with HR, Finance, Payroll, Talent Acquisition, Legal, and business leaders on salary decisions, budgeting, audits, reporting, and process improvements.

Designs, develops, and supports enterprise automation solutions using Microsoft Power Platform, scripting, APIs, cloud services, and secure authentication. The role integrates cloud and on-premises systems, builds reusable workflows, monitors performance, resolves issues, documents solutions, and ensures governance and compliance. The engineer collaborates with infrastructure, security, application development, and business stakeholders to improve operational efficiency and service delivery.

Analyzes and manages mortgage loan delivery and sale processes to investors and agencies, including FNMA, FHLMC, and GNMA. Responsibilities include preparing credit documentation and rebuttals, coordinating loan and note deliveries, managing final GNMA pool certification, reconciling transactions, handling unsalable loans, obtaining purchase advice, and supporting mortgage insurance and quality-control audits. The role requires mortgage processing experience, complex income analysis, appraisal and title review expertise, and proficiency with Desktop Underwriter.

Develop and maintain scalable full-stack web applications using TypeScript, Java, Node.js, HTML, CSS, and MS SQL in a microservice environment. Build AI-powered applications with LLMs, GenAI agents, RAG pipelines, semantic search, vector databases, and LLMOps practices. Collaborate across teams, optimize performance, troubleshoot issues, participate in code reviews, and create responsive user interfaces.

Leads and scales software engineering teams developing marketing technology, customer acquisition platforms, and digital experiences. Responsibilities include hands-on coding, architecture, CRM and marketing automation integrations, lead management, analytics, experimentation, website optimization, vendor management, and engineering team mentorship. Partners with Marketing, Product, Sales, and Analytics to improve lead generation, conversion, scalability, reliability, and speed to market.

Leads the architecture, development, and deployment of enterprise Generative AI and agentic systems for mortgage lending. Builds RAG pipelines, multimodal applications, cloud integrations, and LLMOps capabilities. Mentors engineers, guides technical strategy, evaluates emerging AI technologies, and collaborates with product, data, and UX teams to deliver scalable solutions. Requires strong software engineering or data science experience, expertise in LLM systems, cloud platforms, AI governance, model safety, and prompt engineering.

Develop and maintain scalable full-stack web applications using Vue 3, Nuxt, Node.js, and TypeScript. Responsibilities include designing user interfaces, building backend services, optimizing performance, managing MS SQL data solutions, debugging, conducting code reviews, and ensuring responsive cross-browser compatibility. The role requires collaboration with distributed teams during Eastern Standard Time and supports remote work. Preferred experience includes Docker, Azure, CI/CD pipelines, and DevOps practices.