Software Engineer Jobs in Durham, NC

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.

Develops and deploys full-stack Java applications on AWS across complex, multi-platform projects. Designs application architecture and high-performance APIs, builds CI/CD automation, optimizes Oracle databases, and develops Angular front ends. Oversees testing, QA readiness, documentation, project schedules, risks, budgets, and production deployments. Advises management on technical strategy, resolves business and technology issues, mentors junior engineers, and drives Agile process improvements in a financial services environment.

Provides technical leadership for complex enterprise software initiatives, including application architecture, Java development, test automation, APIs, cloud services, CI/CD, DevSecOps, and production support. Conducts design and code reviews, establishes standards, manages technical risks and project delivery, advises management, coordinates multiple projects, resolves technology issues, and mentors junior engineers. Requires expertise in Java, Spring Boot microservices, AWS, Kubernetes, Kafka, automated testing frameworks, and enterprise financial-services applications.

As a Senior Software Engineer, you will architect product capabilities, manage full development cycles, and guide engineering practices while collaborating closely with customers and recruiting new talent.

As a Senior Software Engineer focused on AI agents, you'll develop core agent architecture, handle complex workflows, and work with large sales data to automate processes and support the sales cycle.

Lead end-to-end software solution delivery for retail platforms through hands-on coding, prototyping, technical design, client engagement, code reviews, and post-release support. Apply AI-assisted development across the software lifecycle, lead Dual-Track Agile discovery and delivery, make architecture and trade-off decisions, ensure security, scalability, observability, and mentor engineering teams. Build cloud-native, microservices, and event-driven systems using modern technologies while contributing to platform strategy and reusable API-first solutions.

Build and harden high-performance Android SDKs and on-device services focused on reliability, footprint, battery, and security. Reduce install/delivery failures, partner with OEMs/carriers, own full product lifecycle (instrumentation, monitoring, rollouts, on-call), mentor engineers, and raise code quality through testing and reviews to support large-scale device deployments.

Develop and support software tools for chip design and verification, optimize workflows, work collaboratively to create high-performance software.

Lead development and validation of LLM inference platforms for NVIDIA edge GPUs. Track open-source framework innovations, analyze model-to-hardware mapping, optimize GPU kernels and multi-node inference, produce performance reports, maintain developer inference recipes, own model bring-up workflows, and support partners on hardware-specific inference issues.

Develop core components of the CUTLASS platform, contribute to the MLIR-based backend compiler stack, and author example kernels while collaborating with GPU architecture teams.

The role involves benchmarking deep learning models on NVIDIA GPUs, improving software performance, and developing automation tools for performance optimization.

Lead the design and delivery of AI-driven systems, guiding architectural patterns and ensuring engineering best practices while mentoring other engineers.

As a Principal Software Engineer, you will enhance AI infrastructure with Kubernetes for GPU clusters, focusing on reliability and monitoring while collaborating across teams.

Designs and implements secure, scalable web applications and microservices using server- and client-side frameworks. Leads architecture, CI/CD/DevSecOps practices, testing, documentation, and project delivery; mentors engineers and advises senior management on technical strategy.

Design, develop, and support full-stack financial services web applications and microservices. Implement APIs (REST/GraphQL), containerize and deploy on AWS, configure CI/CD pipelines, ensure security, performance, accessibility, and collaborate with platform, cloud, and QA teams to deliver production-grade software.

The Senior Software Engineer at ENFOS will develop scalable backend systems for a SaaS platform, ensuring reliability and maintainability, while collaborating with cross-functional teams and mentoring junior developers.

Senior individual contributor who architects, develops, and delivers scalable, secure, HIPAA-aware backend systems. Provides technical leadership, mentors engineers, drives architecture and implementation using cloud-native AWS services, Java/Spring, PostgreSQL, event-driven patterns, observability, CI/CD, and interoperability standards to support high-volume healthcare applications.

Lead design and delivery of cloud-based, data-centric software platforms for biopharma. Develop, maintain, and review data analysis tools, work with SMEs, own projects end-to-end, mentor engineers, and promote best practices and digital transformation.

Design, build, and operate highly scalable distributed systems across cloud and Kubernetes. Own features end-to-end (design, implementation, testing, deployment), troubleshoot production issues, participate in on-call rotations, collaborate with product and SRE teams, and mentor junior engineers while improving reliability, performance, and automation (including AI-assisted tooling).

Lead front-end architecture and UI/UX for private cloud products. Build scalable React + TypeScript interfaces, drive design systems, accessibility, performance, and reusable components; collaborate with product, backend, and customer teams; mentor engineers and influence product roadmap.

Lead the development of AI-powered applications, mentoring engineers, architecting scalable systems, and driving innovation in healthcare technology.

Design and manage infrastructure for autonomous framing systems, implement data logging, provide developer support, and maintain security standards.