Back
Senior niche role but hybrid/remote and metro location increase applicant pool.
Requires deep distributed systems, cloud, and AI integration expertise, limiting transferability across industries.
Multiple explicit multi-year thresholds and extensive mandatory technical, architectural, and AI/LLM experience.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own the design, development, and refactoring of flagship ECM products with AI-enabled features to address complex customer issues and improve performance.
Collaborate with customers, partners, and cross-functional teams to resolve deployment and upgrade challenges and optimize multi-cloud cost and performance.
Establish AI-assisted development best practices including code quality standards, security validations, and mentoring on AI code generation tools usage.
20+ years software engineering experience with 10+ years in architect or principal engineer roles.
Expert-level knowledge in Java, C#, and C++ with systems programming and performance optimization skills.
3+ years hands-on experience integrating LLMs and AI in data systems, including prompt engineering and fine-tuning.
Extensive experience designing distributed systems and microservices on Kubernetes across AWS, Azure, and GCP.
Senior technologist with deep expertise in AI-enabled enterprise software systems and distributed data platforms.
Proven ability to work cross-functionally with customers and internal teams to solve complex technical and deployment challenges.
Experienced leader in evolving CI/CD, security-first architectures, and AI-augmented engineering practices in large-scale cloud environments.