Top Senior Software Engineer Jobs in Raleigh, NC

Develop and maintain software for a satellite ground program, translating changing requirements into efficient, reliable code. Responsibilities include designing subsystem interfaces and APIs, integrating systems using data-driven approaches, supporting asynchronous messaging, and developing Linux/Unix applications. The engineer works independently in an Agile environment, collaborates with technical leads and customers, resolves defects, and adapts to evolving specifications. Preferred experience includes mission management and control software, containerized applications, C++ and Python, security-focused development, and data-centric software design.

Hands-on senior full-stack engineer building cloud-native, responsive React UIs and Java/Spring Boot backends. Develop RESTful APIs and microservices, ensure code quality, CI/CD, security, and collaborate with Product, UX, QA, and DevOps in Agile delivery.

Lead a team to design, build, and maintain scalable full-stack applications using Java, TypeScript/JavaScript, Spring, React, Node, and Azure. Coordinate with internal and external teams, integrate external systems (REST/SOAP), apply architecture, security, and performance best practices, and implement DevOps/CI-CD automation.

Leads and mentors a software engineering team responsible for designing, developing, and supporting enterprise applications. Provides technical vision, architecture guidance, roadmap ownership, resource planning, project scheduling, and performance management. The role combines hands-on Java development with people leadership, Agile/Scrum delivery, AWS cloud engineering, CI/CD, event-driven architecture, legacy modernization, and stakeholder collaboration.

Owns the payment platform’s terminal transport, store-and-forward, routing, transaction integrity, and exception-handling code. Diagnoses timing-sensitive production failures, leads root-cause analysis, enforces PCI-compliant design standards, and mentors engineers. The role requires deep Java distributed-systems expertise, payment-processing knowledge, socket communication, high availability, CI/CD, and debugging of POS client integrations. The engineer will also oversee AI coding agents and advance toward architectural ownership of payment transport and transaction-integrity layers.

Build and maintain full-stack web and WinForms applications using C# and .NET. Design databases, APIs, and user-facing features; optimize performance, security, and code quality; integrate front-end and back-end systems; and troubleshoot defects. Develop and deploy machine learning models and AI-assisted features using LLM APIs and retrieval-augmented generation, while monitoring production accuracy, latency, and cost.

Develops end-to-end core-system features, including AI-enabled functionality, testing, backend architecture, production monitoring, customer escalation management, code reviews, and collaboration with product managers to translate business requirements into scalable technical solutions.

Build and operate scalable full-stack software connecting Salesforce data with Slack. Design distributed systems, APIs, real-time integrations, and enterprise software with strong security, performance, and availability. Debug complex production issues, write Java code, lead technical designs, coordinate cross-functional delivery, conduct architecture discussions, ensure comprehensive testing, and participate in on-call rotations. Collaborate with product, design, architecture, and engineering teams to deliver reliable customer-focused features.

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.

Develop scalable Java and Spring Boot microservices, event-driven applications, real-time data pipelines, and responsive web interfaces. Build and support distributed systems using Kafka, Kubernetes, Docker, and cloud-native platforms. Implement CI/CD automation, observability, alert orchestration, and integrations with databases, AI, machine learning, knowledge graph, and IoT platforms. Participate in architecture reviews, testing, documentation, troubleshooting, and mentoring while collaborating with platform, DevOps, SRE, and data engineering teams.

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.

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.

Build and own full-stack features for campaign management, reporting, audience tooling, and advertising marketplace APIs. Design scalable backend services, optimize low-latency and high-throughput systems, develop lightweight front ends, and work with data stores and APIs. Responsibilities include production ownership, testing, observability, on-call support, technical decisions, stakeholder collaboration, mentoring, and improving engineering standards.

Design, build, and modernize full‑stack web applications and microservices for a real‑time event-driven data and visualization platform. Develop and optimize streaming data pipelines (Kafka, Flink, Spark), integrate observability, caching (Redis), and AI agents, and collaborate with hardware verification teams for scalable, low-latency solutions.

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.

Lead and contribute to the design, development, and delivery of scalable enterprise software platforms. Responsibilities include creating proofs of concept, designing microservices and APIs, optimizing performance, participating in architecture discussions and code reviews, supporting CI/CD automation, resolving complex issues, mentoring developers, and collaborating with business and technology leaders. The role also applies cloud, Generative AI, and Agentic AI capabilities to digital healthcare products.

Develop and lead complex software initiatives involving cloud-native microservices, distributed systems, intelligent document processing, search, and legal research applications. Design scalable architectures, optimize performance and reliability, implement backend and frontend solutions, integrate machine-learning capabilities, and work with customers and technical teams. Serve as a technical authority, resolve complex issues, review specifications, and mentor software developers.

Design and own LLM inference runtime components, including engine integration, continuous batching, KV cache management, quantized execution, and distributed GPU execution. Build Kubernetes orchestration for scheduling, routing, admission, and autoscaling. Optimize latency, throughput, and GPU utilization; evaluate emerging inference technologies; resolve customer issues; conduct code reviews; and mentor engineers.

Design, architect, and implement cloud-native Java microservices and event-driven systems using Spring Boot and Kafka. Lead ETL and data migration efforts, ensure API governance and observability, drive SecDevOps practices, and integrate services with EHR systems using HL7/FHIR while mentoring engineers and collaborating on security and compliance.

Build and lead end-to-end AI products for enterprise clients as an individual contributor. Responsibilities include setting technical direction, writing production-ready code, applying software engineering practices to AI systems, collaborating with small engineering teams, engaging directly with senior client stakeholders, and delivering multiple applied AI products across diverse domains.

Build and maintain Tanium products on an agile team, designing, developing, testing, and deploying cloud-based data services. Collaborate with product management and customers, create memory-efficient data-transfer systems, develop APIs, manage databases and object storage, and use infrastructure as code, Kubernetes, and CI/CD. The role also involves automated testing, production debugging, incident resolution, and balancing rapid delivery with long-term maintainability.

Design and implement secure, scalable full-stack healthcare applications. Build RESTful APIs, microservices, and event-driven back-end systems in C#/.NET. Collaborate with cross-functional teams, ensure regulatory-compliant, testable software, lead code reviews and mentorship, and drive CI/CD, automated testing, performance, and architecture improvements.

As a Sr. MES Engineer, you will develop solutions for manufacturing clients, focusing on SCADA systems and OEE applications, managing various project phases and supporting onsite startups.

Lead frontend and backend software development on an Azure-based microservices platform using .NET, C#, and JavaScript frameworks. Provide technical and architectural leadership, optimize application performance and scalability, collaborate on project planning, mentor developers, oversee code reviews and quality standards, and maintain technical documentation.

Develop and provide technical leadership for full-stack web applications and backend services supporting counter-unmanned-systems missions. Responsibilities include architecture, RESTful APIs, responsive interfaces, cloud deployment, DevOps, containerization, debugging, code reviews, usability research, requirements analysis, and technical roadmap development. The role collaborates with engineering teams, program management, customers, and UX/UI designers while maintaining secure, reliable, high-uptime systems.