Top Tech Jobs & Startup Jobs in Charlotte, NC

Designs, builds, and operates reusable enterprise AI platform services, backend APIs, model-serving capabilities, agent runtimes, retrieval services, and MLOps infrastructure. The role automates cloud-native deployments across hybrid and restricted environments using Kubernetes, CI/CD, and infrastructure-as-code. Responsibilities include implementing security, identity, observability, lifecycle management, scalability, resilience, and cost visibility for AI workloads while partnering with architecture, application engineering, cybersecurity, data, and product teams.

Support the SAP GTS S/4HANA transformation across blueprint, build, testing, cutover, and hypercare phases. The role designs and configures compliance and customs management solutions, leads process redesign and requirements gathering, guides enhancements, coordinates cross-functional teams, and manages stakeholder expectations. Candidates need substantial SAP GTS experience, including e4H, GTS 11.0, EDI integration, FTZ, IPR, and Intrastat capabilities.

Lead business systems and digital application planning, implementation, configuration, testing, maintenance, and support. Improve business processes and align technology selection, services, vendors, and initiatives with organizational strategy. Represent business needs in enterprise initiatives, advocate for high-quality digital services, and collaborate with security, compliance, infrastructure, and project management teams to manage the digital technology portfolio.

Provide SAP Controlling (CO) and Project Systems (PS) functional support in an SAP ECC environment, supporting configuration, production support, project delivery, month‑end/year‑end close, system improvements, and integration with ABAP, BW, and BusinessObjects while aiding the transition to S/4HANA in an Aerospace & Defense setting.

Designs and maintains automation for enterprise data governance, including APIs, ETL pipelines, metadata management, data profiling, validation, quality workflows, and data integrations. Develops reliable scheduled and event-driven solutions with monitoring, logging, retry logic, testing, CI/CD, and exception handling. Collaborates with stakeholders on governance roadmaps, tool requirements, and scalable data management improvements.

Designs and develops enterprise integration architectures, APIs, ETL pipelines, automation scripts, and data governance workflows. Builds reusable patterns for metadata, data quality, authentication, monitoring, error handling, and recovery. Translates business requirements into scalable technical solutions, creates documentation and reference implementations, performs code reviews, and provides technical guidance while supporting CI/CD, testing, deployment, and operational processes.

Build and improve large-scale machine learning models for aviation prediction products, including runway landing times, gate arrivals, and taxi durations. Develop high-performance systems using historical aviation data and complex data types, contribute ideas in an agile environment, and improve operational efficiency for airlines and airports. Preferred experience includes Kubernetes, AWS, GPU acceleration, graph neural networks, geospatial data, observability, ETL orchestration, and large-scale data processing.

Owns enterprise data architecture for Raytheon’s SAP ECC-to-S/4HANA transformation. Designs canonical data models, integration patterns, bridge reporting, semantic layers, and cross-system analytics for finance, supply chain, and other domains. Guides SAP Analytics Cloud, Snowflake, Business Data Cloud, and BODS solutions; establishes governance, standards, lineage, and observability. Creates TOGAF-aligned architecture artifacts, reviews delivery solutions, and coaches technical teams throughout the migration lifecycle.

Lead requirements, design, build, testing, cutover and hypercare for integrations between SAP S/4HANA, MES and other supply chain systems. Document specifications, data mappings, integration patterns (APIs, IDocs), and test plans; coordinate cross-functional teams, solution architects, and integrators to ensure successful go-live and post-launch support.

Lead delivery of SAP PLM-to-S4 HANA integrations across blueprint, build, test, cutover and hypercare. Drive requirements gathering, data mapping, configuration, testing and go-live support using SAP PLMSI, IDocs/APIs and product master data management to harmonize Plan-to-Sustain processes.