Top Tech Jobs & Startup Jobs in Charlotte, NC

Owns client narratives from discovery through proof-of-concept, translating business problems into scoped technical solutions. Leads technical presales engagements, solution workshops, RFP responses, SOW scoping, estimates, staffing plans, demos, and partner co-selling while carrying revenue accountability. The role also develops AI-focused solution assets, maintains partner relationships, mentors consultants, and ensures delivery fidelity after deals are sold.

Lead DevOps Engineer responsible for designing and operating AWS infrastructure, Terraform-based infrastructure as code, and GitHub Actions CI/CD pipelines. The role covers cloud architecture, observability, security, automation, containers, disaster recovery, cost optimization, incident response, and reliability engineering. This position also mentors engineers, establishes DevOps standards, documents operational practices, and collaborates with development and architecture teams to improve delivery and platform maturity.

Define and lead ServiceNow architecture and target-state roadmaps, ensure best-practice scalable implementations, design integrations and CMDB/CSDM strategies, provide technical leadership across delivery, support AI-enabled ServiceNow capabilities, and collaborate with stakeholders to ensure platform sustainability and governance.

Designs, implements, and optimizes Salesforce Data Cloud solutions. Responsibilities include configuring data streams, integrating Salesforce and legacy data with MuleSoft or ETL tools, mapping data objects, creating identity resolution rules, building calculated insights with SQL, developing customer segments, configuring activation targets, and managing data governance, privacy compliance, system performance, storage, and usage.

Designs and implements AWS cloud-native applications, distributed systems, and machine learning infrastructure. Leads architecture for SageMaker model deployment, inference, endpoints, and AI integrations while guiding engineering teams. Builds scalable event-driven services using AWS Lambda, SNS/SQS, EventBridge, DynamoDB, and Bedrock. Develops Python automation and ML integrations, applies Terraform and CI/CD, and ensures production ML workloads are secure, reliable, scalable, and cost-effective. Preferred experience includes NLP, embeddings, generative AI, OCR, MLOps, RAG, and vector databases.

Designs enterprise data management and architecture solutions for clients, including data governance, quality, catalog, lineage, master data management, modeling, cloud platforms, and legacy modernization. Leads client workshops, proposals, proof-of-concepts, implementation roadmaps, complex engagements, globally distributed teams, and executive presentations. Serves as a data subject matter expert, mentors teams, contributes to thought leadership, and integrates third-party platforms across on-premises and cloud environments.

Own the architecture and delivery of Salesforce and Marketo implementations, managed services, integrations, and optimization engagements. Lead client discovery sessions, advise on technical direction, scope new work, support proposals, mentor marketing teams, and resolve complex Marketo configuration and data issues. The role requires strong Marketo expertise, client-facing consulting skills, adaptability, communication, and enthusiasm for using AI tools.

Manage Salesforce implementation projects and organizational change initiatives from planning through delivery. Responsibilities include creating timelines, facilitating Scrum ceremonies, coordinating technical and change workstreams, managing resources and vendors, assessing change impacts, developing stakeholder communications and training, addressing resistance, tracking adoption metrics, and reporting project status, risks, budgets, and readiness. The role requires close collaboration with clients, product leads, account teams, developers, and Scrum Masters in an Agile consulting environment.

Designs and leads enterprise application architecture across .NET, React, and Azure. Responsibilities include defining technical strategies and roadmaps, guiding engineering teams, designing cloud-native systems and APIs, supporting production applications, and improving reliability, observability, performance, security, and scalability. The role also involves stakeholder engagement, technical leadership, mentoring, consulting, distributed-team collaboration, and adoption of AI-assisted development tools such as GitHub Copilot and Claude.

Design, develop, and support scalable full-stack, cloud-native applications using Next.js, TypeScript, .NET, Python, AWS, and Kubernetes. Build AI-enabled solutions involving generative AI, LLMs, intelligent assistants, RAG, and workflow automation. Collaborate with architects, product teams, and clients, contribute to architecture and Agile delivery, troubleshoot production systems, establish observability practices, review code, and mentor junior engineers.