Top Python Jobs in Charlotte, NC

Lead design, implementation, monitoring, and troubleshooting of cloud systems and DevOps pipelines. Define cloud architecture and roadmaps, build automated CI/CD, manage IaC and Kubernetes deployments, improve reliability and performance, introduce efficiency-enhancing technologies, and provide documentation and cross-team collaboration to resolve production issues.

Lead Level 3 escalation and advanced troubleshooting for critical enterprise network services. Manage high-severity incidents, coordinate with engineering and vendors, perform break/fix changes, analyze packet captures, and improve operational discipline while participating in on-call rotations.

Advise leadership and lead architecture and engineering for large-scale cloud-native solutions. Design and implement IaC, multi-cloud strategies, integrations, secure resilient applications, CI/CD pipelines, and observability. Establish engineering standards, mentor teams, and drive complex initiatives from concept through production and operational support.

Lead design and implementation of enterprise AWS platform capabilities including landing zones, multi-account governance, IAM, networking, and platform automation. Define standards, reusable patterns, Terraform modules, and CI/CD/GitOps pipelines. Mentor engineers, collaborate with security and architecture, and enable future AWS AI/ML platform capabilities.

Lead design, build, and operate scalable, secure AWS cloud foundations. Provide technical leadership, mentor engineers, drive Landing Zones, multi-account governance, IAM, policy-based guardrails, and infrastructure automation using Terraform, GitOps, and CI/CD to enable enterprise cloud strategy and reliability.

The Engineering Manager will lead software innovation, manage cross-functional teams, oversee project execution, and mentor junior talent to enhance software solutions and client relationships.

Lead full stack application migrations to AWS, architect solutions, mentor teams, and drive AI-native engineering strategy while ensuring cloud readiness and modernization.

Lead engineering and program management efforts for software solutions, mentor teams, oversee project planning, and ensure client satisfaction.

Lead design, build, and automate a low-latency Solace PubSub+ platform. Drive automation-first infrastructure, apply AI-assisted engineering, create tooling, enforce standards, troubleshoot L3 issues, and collaborate with architects, operations, and development teams to ensure scalable, resilient, and observable middleware infrastructure.

Lead Platform Reliability Engineer applies SRE practices to improve availability, resiliency, observability, and scalability of enterprise platforms. Owns incident investigations, root cause analysis, automation, capacity planning, performance tuning, observability standards, and mentoring across network, middleware, database, or storage domains.

Design, develop, and maintain scalable, secure software solutions. Collaborate with product, UX, and engineering teams; participate in design (HLD/LLD), testing, code reviews, CI/CD, monitoring, and Agile ceremonies. Troubleshoot production issues and implement permanent fixes while improving performance, scalability, and engineering practices.

Lead development of GM's motorsports CAE simulation toolchain, establish vehicle and subsystem modeling best practices, build and manage a multidisciplinary team, create RT-capable multibody models and new simulation techniques to maximize on-track performance, and supervise simulation engineers. Requires ~10% travel and hybrid on-site work.

Lead initiatives to develop and maintain infrastructure solutions, focusing on automation, risk management, and collaboration with vendors and teams.

The Cyber AI Senior Specialty Software Engineer will design, develop, and deploy AI applications while integrating them with existing systems and resolving technical issues.

The role involves supporting middleware and messaging platforms, focusing on automation and operational efficiency, while participating in the CODE development program.

The Senior Data Engineer will design, build, and operate scalable data pipelines for high-performance racing programs, utilizing cloud architecture and streaming systems to support real-time data delivery.

Design, implement, troubleshoot, and optimize complex network environments including routing, switching, security, voice, video, and wireless. Lead network architecture, perform escalated support, develop technical standards and procedures, and participate in medium-to-high complexity projects and maintenance activities.

Lead complex engineering engagements, architect AI-driven systems, design application patterns, mentor teams, and act as a trusted technical advisor to clients.

The role involves designing, developing, and implementing software solutions on SAP technologies, focusing on data integration and backend services for Corporate Properties Group.

Design, build, and maintain scalable data pipelines, backend services, and data governance to enable real-time decisioning, reporting, and high-quality data products. Ensure secure, well-tested code, collaborate cross-functionally, and support data quality, security, and CI/CD for analytics and AI use cases.

Lead development of infrastructure automation software and APIs, define coding architecture and standards, manage a team of ~6 developers, ensure CI/CD and IaC best practices, enforce code review and release processes, and build automated regression and integration tests to ensure reliable deployments.

Lead full‑stack design, development, and maintenance of scalable financial applications across front-end, back-end, and databases. Build RESTful APIs and microservices, participate in code reviews, troubleshoot production issues, mentor junior developers, and adopt AI/LLM tools and cloud/container platforms to improve delivery and security.

Build and maintain Terraform infrastructure across AWS and Azure, create GitHub Actions CI/CD workflows, script automation (Python/Bash), manage releases across SDLC environments, collaborate with security to harden cloud services, and support AI development teams with provisioning, networking, disaster recovery, and operational tooling. Hybrid role with occasional client travel.

Design, build, and maintain scalable backend and frontend automation solutions for analytics and reporting. Partner with stakeholders to streamline processes, create and optimize data assets and dashboards, maintain SQL databases (cloud and on-prem), measure automation ROI, support projects, and mentor junior team members.

Administer, support, and modernize enterprise scheduling and orchestration platforms (Autosys, Airflow). Manage Linux production infrastructure, automate operations with Python/Go/Shell, support cloud/container platforms, drive upgrades/migrations, troubleshoot workflows, enforce security/patching/certificate management, improve observability and reliability, and collaborate across application, infrastructure, and security teams.