Top Python Jobs in Charlotte, NC

Develops secure, scalable Java software for commercial real estate technology products. Responsibilities include designing, coding, testing, troubleshooting, and maintaining applications and microservices; creating architecture artifacts; analyzing large datasets; and using AI-assisted development tools responsibly. The role requires Java, Python, ReactJS, Spring Boot, REST, cloud, agile, CI/CD, resiliency, and security experience.

Provides technical leadership for enterprise workplace technology platforms, focusing on site reliability, observability, incident management, automation, operational resilience, and continuous improvement. Develops Python-based automation and data solutions, designs infrastructure systems, analyzes cloud security and secrets management, and uses telemetry to reduce incidents and recovery time. Leads AI-assisted triage, root cause analysis, workflow automation, proactive remediation, and self-healing initiatives while mentoring colleagues and managing operational risk.

Leads enterprise software architecture, platform engineering, workflow orchestration, network and infrastructure automation, cloud-native development, API integrations, CI/CD, observability, reliability, security, and AI-enabled engineering. Designs distributed systems and reusable developer platforms, establishes engineering standards, mentors technical teams, and influences strategy across organizations. Requires extensive hands-on experience with production software, APIs, containers, automation, distributed systems, and secure, resilient platform operations.

Leads motorsports vehicle testing, trackside execution, simulation correlation, and performance analysis. Develops test plans, analyzes vehicle data using motorsports analysis platforms, translates findings into engineering recommendations, and supports race teams during testing events. Coordinates with engineers, mechanics, crew chiefs, project managers, and partner teams while improving test workflows and analysis tools. The role requires regular travel, flexible scheduling, and expertise in vehicle dynamics, race-vehicle development, and professional motorsports.

Design, develop, automate, deploy, and support secure enterprise infrastructure and cloud solutions. Build Terraform-based Infrastructure as Code, CI/CD pipelines, Azure services, APIs, microservices, integrations, and automation using multiple programming languages. Implement identity, security, monitoring, resiliency, and compliance controls while troubleshooting production environments. Partner across engineering, cybersecurity, operations, risk, and compliance teams. Support communications archiving and surveillance solutions, evaluate emerging AI technologies, provide technical leadership, and mentor engineers.

Leads and develops software engineering teams responsible for building next-generation data products. Duties include recruiting, coaching, career development, process improvement, quality standards, software delivery, technology evaluation, and fostering collaborative Agile/Scrum practices. The role also requires knowledge of Java, JavaScript, or Python, strong automation and testing practices, and experience with modern software architectures.

Develop and deploy data solutions using Palantir Foundry and AIP for client engagements. Lead technical teams, coach team members, analyze system interactions, build applications with large datasets, and apply data engineering and analytics to deliver client outcomes. The role also includes managing client relationships, planning and executing projects, encouraging technology adoption, resolving stakeholder conflicts, and driving continuous improvement.

Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.

Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.

Supports automation, data acquisition, instrumentation, and testing for motorsports dynamometers, vehicles, engines, and powertrain systems. Configures and validates test-cell systems, develops scripts and sequences, checks data quality, prepares reports, troubleshoots routine issues, and maintains technical documentation. Collaborates with test, controls, calibration, software, and instrumentation teams while following safety, data-integrity, and engineering procedures.

Lead operations and technical delivery for Wells Fargo’s on-premises Hortonworks big data platform. Responsibilities include designing, coding, testing, debugging, documenting, deploying upgrades, supporting tenant compute and storage, troubleshooting data-processing services, monitoring platform health, and leading migration activities to new data centers. The role provides end-to-end production support, escalates complex issues, guides junior staff, and coordinates initiatives across risk data environments.

Leads full-stack development of scalable enterprise applications across frontend, backend, APIs, data, cloud, and DevOps. Resolves complex technical problems, establishes architecture and engineering standards, drives reliability and operational excellence, evaluates technologies, and mentors engineers. Collaborates directly with customers, product teams, architects, and engineering teams to translate business needs into technical solutions and guide delivery.

Lead software engineering initiatives for Enterprise Counterparty Risk Technology. Design, develop, test, debug, document, deploy, and support scalable technology solutions for counterparty credit risk. Collaborate with risk and capital markets stakeholders, evaluate technical challenges, resolve issues, guide junior staff, and support strategic planning. The role requires Java or Python, distributed data processing, SQL, data lakehouse technologies, and familiarity with Airflow, Kubernetes, CI/CD, Agile delivery, and investment banking processes.

Operate, maintain, and optimize RHEL-based GPU HPC clusters supporting engineering simulations. Administer Slurm, storage, license servers, software environments, and cluster management tools. Troubleshoot jobs and performance issues, support engineering users, automate health checks with Bash and Python, manage vendor tickets, and assist with expanding cluster capacity.

Develop and maintain UiPath RPA solutions for a federal government client. Responsibilities include analyzing and documenting business processes, identifying automation opportunities, assessing feasibility, designing solutions, defining infrastructure requirements, scheduling and debugging automations, mentoring developers, and supporting the full RPA delivery lifecycle. The role also requires prioritizing tasks, managing deadlines, and working effectively in ambiguous, fast-paced environments.

Leads the design and engineering of AWS cloud-native application components. Develops prototypes, writes Python and JavaScript, evaluates AWS service alternatives, establishes architecture patterns, reviews code, coaches development teams, and documents standards. Requires large-scale application design experience, AWS development expertise, familiarity with databases, APIs, containers, CI/CD, Agile practices, and data protection policies. The role is remote with EST work hours and requires a bachelor’s degree.

Designs, develops, tests, and supports enterprise integrations for Finance Transformation initiatives. Builds APIs, ETL processes, database solutions, and interfaces between Oracle, Workday, financial, HR, and other enterprise systems. Responsibilities include data mapping, validation, reconciliation, troubleshooting, production support, documentation, code reviews, system upgrades, and automation. The role collaborates with Finance, Accounting, HR, IT, and Enterprise Architecture teams to deliver scalable integration solutions and improve data quality and operational efficiency.

Design, build, and support AWS and Azure cloud infrastructure. Develop Terraform infrastructure-as-code, Python automation, policy-as-code with Checkov, and CI/CD pipelines using GitHub, GitLab, or Bitbucket. Troubleshoot complex platform and production issues, improve reliability and operational excellence, enforce governance and compliance, and collaborate with engineering, security, and platform teams on scalable, secure, highly available solutions.

Administers and supports production MongoDB environments, including sharded clusters, replica sets, data modeling, performance tuning, monitoring, backup, recovery, and disaster recovery. Provides technical leadership, mentorship, incident escalation, change and release support, access management, compliance activities, capacity planning, and infrastructure lifecycle management. Collaborates with technology, project management, engineering, and business teams while ensuring reliability, availability, service-level compliance, and business continuity.

Supports mechanical simulation activities for Formula 1 power-unit components, including FEA, MBD, CFD, static, thermal, and dynamic analyses. Responsibilities include geometry and mesh preparation, simulation post-processing, data organization, documentation, test correlation, and continuous-improvement updates to scripts, templates, and procedures. The intern works under senior engineers while gaining experience in motorsport power-unit engineering.

Design, develop, and operate Lowe’s scalable Search Platform using OpenSearch and Elasticsearch. Build cloud-native services, REST APIs, and batch or near real-time data ingestion and ETL pipelines on Google Cloud. Improve indexing, search performance, reliability, and scalability while implementing monitoring, automation, and CI/CD. Troubleshoot production issues, contribute to architecture and code reviews, mentor engineers, and collaborate with platform and product teams.

Leads design and development of low-latency front-end and backend applications supporting Fixed Income pricing, risk, PnL, and trading workflows. Builds Angular/TypeScript micro UIs and Java/Spring services using Kafka and Ignite; leads testing, debugging, monitoring, production support, risk compliance, and technical initiatives. Mentors engineers, collaborates with stakeholders, and delivers scalable microservices in an Agile environment.

Design, develop, and maintain scalable microservices and backend platform services using Rust and Python. Build API-first solutions with OpenAPI, implement automated testing, troubleshoot performance issues, and apply AI-assisted development practices. Collaborate with architects, product managers, DevOps, and global engineering teams to deliver secure, reliable cloud-native solutions. Contribute to code reviews, technical documentation, operational runbooks, engineering standards, and continuous improvements to platform architecture and development processes.

Supports, configures, integrates, and develops vendor applications across AWS and on-premises environments. Responsibilities include Level II application support, software installation, release coordination, database and SQL administration, performance tuning, scripting, interface development, testing, monitoring, and troubleshooting across operating systems and infrastructure. The role collaborates with business, technology, vendor, and operations teams, supports user acceptance testing, and contributes to operational excellence and process improvement.

Develop and enhance full-stack applications using React, Node.js, Python, SQL, and AWS. Responsibilities include building new functionality, supporting system releases, contributing to automated builds, documenting systems, designing and conducting tests, debugging technical issues, reviewing code, and providing third-level support. The role collaborates with business analysts, service desk staff, and technical teams while supporting Agile development and architectural improvements.