> Markdown version of [/jobs/ext/3995932-staff-c](https://www.wearedevelopers.com/jobs/ext/3995932-staff-c). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff C++ - **Company:** Everforth Apex - **Location:** Austin, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Query Performance, Artificial Neural Networks, Computer Vision, Microsoft Azure, C Sharp (Programming Language), C++ (Programming Language), Cloud Engineering, Software Quality, Continuous Integration, Relational Databases, Distributed Systems, Github, Machine Learning, SQL Azure, Cloud Services, Software Engineering, Software Technical Review, Enterprise Software Applications, Cloud Platform System, Large Language Models, Indexer, Kubernetes, Information Technology, Intelligent Document Processing, Api Management, Key Vault, Programming Languages, Microservices - **Published:** October 28, 2026 - **Apply:** https://www.dice.com/job-detail/87fc95b9-360f-4a43-831e-129061a6a20b ## About the Role Education: A bachelor's degree in Computer Science, Software Engineering, or a related technical discipline is preferred. Experience: More than 8 years of professional software engineering experience with deep expertise in C++ development. Technical Skills: Demonstrated ability to work with multiple programming languages, including a willingness to work with both C# .NET and C++. Strong command of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale is required. Experience in cloud environments and Kubernetes, preferably utilizing Microsoft Azure (AKS, Storage, Key Vault, Azure SQL or equivalent), is essential. Proven experience designing, implementing, and operating CI/CD pipelines for building, testing, and deploying (preferably using GitHub Actions) is required, along with experience leading technical design reviews and influencing architectural decisions across team and product boundaries. Preferred Qualifications * Demonstrated ability to mentor senior and mid-level engineers and partner with engineering managers on technical direction. * Hands-on experience working with relational databases, including schema design, indexing, and query performance optimization. * Hands-on experience designing and operating workflow-driven systems involving orchestration, retries, timeouts, and state management. * Experience integrating Machine Learning, Neural Networks, or LLMs into enterprise applications and workflows. * Familiarity with OCR, NLP, and computer vision technologies. ## Description Staff Software Engineer - C++, This organization is seeking a Staff Software Engineer to serve as a senior technical leader on a flagship Document AI platform. The selected candidate will drive the design and delivery of complex, cross-cutting capabilities spanning document AI pipelines, LLM integrations, compliance infrastructure, analytics, and platform extensibility. This role requires an engineer who leads through technical depth, judgment, and organizational impact, acting as a technical multiplier who influences architectural decisions and elevates engineering standards across the team., * Drive the technical design and delivery of significant platform capabilities, from architecture and API contracts through deployment, monitoring, and iteration. * Define and uphold engineering standards for the codebase, covering code quality, service reliability, performance, security, and compliance. * Act as a senior technical voice in cross-functional planning with product management, machine learning engineering, cloud architecture, and engineering leadership to translate business priorities into actionable technical roadmaps. * Lead initiatives to improve platform health at scale, including service decomposition, observability, CI/CD maturity, and developer productivity. * Own high-severity incident response for cloud services, driving post-mortems and systemic reliability improvements. * Mentor senior and principal engineers, fostering a culture of technical rigor, shared ownership, and continuous learning. * Evaluate and champion the adoption of new technologies, such as generative AI model integrations and cloud-native tooling, to strengthen platform differentiation., The organization operates as a trusted partner for intelligent automation, solving highly complex problems for enterprise customers and putting information to work to transform business operations. Innovation and excellence are central to the culture, where professionals work with market-leading technologies, machine learning, artificial intelligence, and a sophisticated technology stack. The environment is built on a commitment to respect, transparency, and simplicity, ensuring that teams always choose to do the right thing for colleagues and customers alike.