Back
Tier-1 brand, metro location, and broad skillset requirements create high applicant competition.
Senior enterprise backend and distributed-systems expertise for SaaS/AI contexts is highly domain-sensitive and less transferable.
Explicit 10+ years, mastery of multiple languages, architecture and on-call requirements make filters very strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own the architecture, design, implementation, and scaling of large-scale, complex full-stack and distributed systems with a focus on integrating AI agents into human workflows.
Lead code quality, security, and performance evaluations including AI and human-generated code; drive technical excellence and innovation organization-wide.
Mentor engineers and collaborate cross-functionally to align technology strategies with business goals, ensuring high-quality production-grade software delivery.
10+ years of experience in full-stack software development and large-scale system architecture.
Proficiency in multiple programming languages such as Java, Python, C++, Go, Node.js, Scala, or C#.
Experience using AI tools in development workflows and advanced prompt engineering skills to produce secure, reliable production-ready AI outputs.
Degree or equivalent relevant experience required.
Experienced senior engineer with a demonstrated AI-first engineering approach and expertise in building scalable SaaS products on public cloud infrastructure (AWS/Azure/GCP).
Strong background in designing distributed systems and microservices architecture with deep knowledge of APIs, databases, CI/CD pipelines, and container orchestration tools like Kubernetes and Docker.
Capable of leading architectural decisions and mentoring teams in a large, innovative technology organization aligned with Agile/Scrum methodologies.