Member of Technical Staff - Enterprise Engineering

Build production services — design and ship scalable, reliable backend services and APIs that power the AIVista platform. Integrate with the enterprise — build the connections, data pipelines, and plumbing that let our platform work inside real customer systems. Build the infrastructure agents run on — develop the deployment, orchestration, and tooling that keep agentic workflows running reliably in production. Own quality — write well-tested, maintainable code, and help raise the engineering bar across the team. Collaborate and iterate — partner with product, AI, and customer teams, and turn feedback and production signals into improvements. Requirements 5+ years building and shipping production software Bachelor’s degree in a technical field, or an equivalent combination of education, training, and experience. Production-quality software engineering in Python and other modern languages (Go, TypeScript, Rust, or similar), with a track record of building durable systems, not one-off scripts Experience designing and building scalable backend services, APIs, and data systems Hands-on experience deploying and operating services on a major cloud platform (AWS, Azure, or GCP), using containers and orchestration (Docker, Kubernetes, Helm, or similar) Comfortable building with or alongside LLM and AI systems (deep AI development experience is not required) Bias for action and ownership — you thrive with high autonomy and ambiguity, and ship without sacrificing rigor Clear communication and collaboration skills, across engineering, product, and customer teams Core Competencies Demonstrates expertise in building scalable backend services and APIs, with a strong foundation in Python and modern programming languages. Proven ability to deploy and operate services on major cloud platforms while ensuring high-quality, maintainable code. Highest-signal resume keywords Production-Quality Software Engineering Scalable Backend Services Development Cloud Platform Deployment (AWS, Azure, GCP) Containerization and Orchestration (Docker, Kubernetes) Clear Communication and Collaboration ATS Optimization Keywords Hard Skills Python Go TypeScript Rust Backend Services APIs Data Systems Production Software Deployment Orchestration Soft Skills Clear Communication Collaboration Bias for Action Ownership Adaptability Industry Keywords Production Services Data Pipelines Agentic Workflows AI Systems Customer Systems Tools & Technologies AWS Azure GCP Docker Kubernetes Helm #J-18808-Ljbffr Jobtailor