Top Software Engineer Jobs in Raleigh, NC

Build and maintain Python backend services, APIs, data pipelines, and internal applications while owning production deployment and support. Apply machine learning, statistical modeling, and scientific Python to forecasting and business analytics. Design data models, optimize queries, integrate enterprise systems, and deploy ML models. Collaborate with business stakeholders, document technical work, resolve production issues, and improve engineering processes and infrastructure.

Design, build, and operate backend services, platform APIs, automation, and distributed systems supporting global voice infrastructure. Own initiatives from concept through production, emphasizing scalability, resiliency, observability, API reliability, and geo-redundant deployments. Collaborate on architecture, cloud infrastructure, telecommunications platforms, testing, and delivery practices. Participate in a 24x7 on-call rotation while solving ambiguous technical problems and developing scalable platform capabilities.

Build and operate scalable billing infrastructure for global communications services. Design accurate financial systems, improve billing performance and reliability, collaborate with product and engineering stakeholders, participate in architecture and code reviews, and mentor less experienced engineers. The role requires distributed-systems experience, Java, SQL, cloud familiarity, strong communication, and effective use and review of AI-generated code. Bonus experience includes Datadog, Terraform, startup environments, and GitHub Actions.

Leads quality assurance for point-of-sale software by developing test strategies, analyzing requirements, designing and executing tests, managing defects, maintaining test environments, assessing coverage and risks, documenting processes, and mentoring junior engineers. Collaborates with product, development, and project teams in an agile SDLC while applying automation tools and testing best practices.

Develop and deliver full-stack software features for Verily’s precision-health and virtual-care products. Collaborate cross-functionally on dependencies, delivery coordination, and technical design decisions. Build solutions using GitHub, Google Cloud, Go, React, and Terraform. The role supports an enterprise care console used by healthcare professionals to manage patients and virtual-care workflows.

Develop high-performance backend applications and distributed-system infrastructure that collect and process large volumes of data. Own features from planning and design through development, testing, and delivery. Collaborate within Scrum/Agile teams and across internal stakeholders while writing clear, reusable, testable code. The role focuses on enterprise backend development, multithreading, network protocols, and security-focused software protecting enterprise data.

Software Engineering interns work with mentors and international teams to design, develop, maintain, debug, and enhance Red Hat products such as RHEL and OpenShift. Interns collaborate with Quality Engineering, Design, Product Management, and Documentation teams while learning technologies including Python, Golang, Ansible, OpenShift, and AI. The program provides professional development, networking, curriculum, and hands-on project experience.

Designs and delivers full-stack features for an industrial energy platform, including React interfaces, secure APIs, backend services, database schemas, and AI-powered capabilities. Leads architectural and product decisions, works through ambiguity, mentors teammates, resolves production issues, and advances AI-assisted engineering practices. Partners with product, UX, data, and engineering teams in a hybrid Raleigh environment.

Build responsive Web3 applications, web SDKs, developer tools, reusable frontend components, and internal Customer Success tools. Collaborate with Product, Design, and Engineering to create scalable, accessible user experiences. Contribute to code and design reviews, automated testing, continuous delivery, coding standards, and AI-assisted development practices.

Software Engineering Interns will design, build, test, and improve production enterprise SaaS software across frontend, backend, APIs, data, AI-enabled features, and platform engineering. Responsibilities include developing user interfaces and backend services, integrating databases and APIs, processing data and documents, improving performance and scalability, writing maintainable code, participating in reviews and testing, and collaborating with engineering and cross-functional teams in an Agile environment.

Design and implement production-quality system software, tools, and frameworks for enterprise storage systems. Develop and run realistic validation and analysis solutions, debug cross-layer issues (application, OS, driver, hardware), collaborate with firmware/hardware teams, drive technical design, mentor engineers, and evolve internal tooling with AI integrations.

Design, develop, test, and maintain scalable C#/.NET applications, RESTful APIs, and GraphQL services. Collaborate with cross-functional teams on technical requirements and solution design, troubleshoot complex issues, conduct code reviews, support CI/CD and automated testing, and mentor engineers. The role also contributes to cloud-based solutions, microservices, distributed systems, and continuous improvement of software development practices.

Design, deploy, operate, and automate reliable large-scale EDA infrastructure services on NVIDIA hardware. Build tools that reduce manual work, support distributed private and public cloud systems, define service-level objectives, improve observability, and participate in incident response and on-call rotations. The role also provides systems-design guidance to peer teams and may involve Kubernetes, OpenStack, Docker, Slurm, multi-cloud infrastructure, networking, storage, and GPU-based systems.

Develop embedded software and system concepts, manage controlled software releases using configuration management tools, execute software design verification tests, and debug software using laboratory equipment throughout the product development life cycle.

Design, develop, test, operate, and monitor distributed web services, REST APIs, React dashboards, and AWS infrastructure for the Numbers platform. Solve scaling, performance, availability, and fault-tolerance challenges; lead solutions from design through production; mentor engineers; collaborate with product stakeholders; contribute to technical roadmaps; and use AI tools throughout the software development lifecycle.

Design, develop, test, and maintain software for rail communication and passenger information systems. Build Linux-based applications and distributed systems using Java and related technologies, translate requirements into solutions, participate in architecture reviews, and support the full product lifecycle. Develop automated tests, troubleshoot defects, and ensure reliability, cybersecurity, performance, and safety. Collaborate with global engineering teams and contribute to development practices within the North American R&D organization.

Leads architecture and development of scalable AI-powered systems across platforms and product lines. Establishes technical strategy, guides AI platform and model lifecycle investments, drives engineering standards for security, performance, and reliability, and evaluates emerging technologies such as LLMs and autonomous systems. Partners with product and engineering leaders, mentors senior engineers, and leads cross-functional initiatives that improve engineering velocity and business outcomes. Requires deep expertise in AI architecture, distributed systems, cloud-native design, and software engineering leadership.

Design, build, and operate scalable account provisioning systems for global communications services. Responsibilities include improving performance and availability, resolving provisioning bottlenecks, participating in architecture and code reviews, collaborating with product and engineering stakeholders, and mentoring less experienced engineers. The role requires developing large-scale distributed systems and maintaining high standards for code quality, testing, documentation, and technical communication.

Leads end-to-end engineering for complex, distributed systems and shared platform services. Designs scalable cloud-native architectures, event-driven applications, security models, deployment strategies, and resilient data flows. Develops and supports enterprise applications, establishes testing and quality practices, manages technical documentation and project plans, advises leadership, resolves cross-functional technology issues, and mentors junior engineers. Requires strong expertise across Java, Spring Boot, Node.js, React, Kafka, containers, CI/CD, cloud deployment, automated testing, and observability.

Architects and develops large-scale customer-facing web applications, reusable front-end systems, distributed services, and Oracle-based financial data warehouse platforms. Leads application architecture, CI/CD, testing, deployment, observability, documentation, risk management, and project planning. Advises management on technical strategy, resolves business and technology issues, ensures delivery quality and timelines, and mentors junior engineers.

Architects and develops secure, scalable web and distributed applications using Java, Angular, JavaScript, REST, Kafka, and cloud-native technologies. Responsibilities include application architecture, testing, CI/CD, release management, production support, observability, performance optimization, project planning, risk management, technical strategy, documentation, and mentoring. The role partners with business units and advises management on complex technology initiatives.

Lead software engineering teams through Agile development, including architecture, design, coding, testing, DevOps, delivery, and mentoring. Build scalable Java applications and services using SOA, APIs, microservices, containerized deployments, enterprise messaging, relational databases, and modern Spring frameworks. Establish engineering standards for security, automation, testing, and maintainable code while partnering with product owners to deliver customer-focused solutions.

Develops and debugs software enhancements and subsystems for systems software, including operating systems, networking, databases, utilities, and Internet tools. Executes test plans, identifies and resolves issues, and collaborates with internal and outsourced development partners. Contributes to project teams delivering reliable, cost-effective solutions for low- to moderately-complex products while applying foundational software design, coding, testing, and debugging knowledge.

Performs entry-level software development within a functional area or product line. Responsibilities include writing specifications, implementing simple bug fixes, participating in coding standards and reviews, resolving basic technical issues, and collaborating in Agile or Waterfall environments. Uses AI-assisted development tools to generate, test, debug, document, and validate code while applying software engineering, security, quality, and maintainability practices.

Develop and maintain features for an enterprise AI training and capability platform. Work across backend and frontend layers using distributed systems, microservices, cloud infrastructure, databases, and AI tools. Collaborate with product management, customer support, and clients to understand problems and deliver secure, maintainable, scalable software. Contribute independently and within a collaborative development team.