- Company Name
- JazzX AI
- Job Title
- Senior Software Engineer
- Job Description
-
**Job title**
Senior Software Engineer
**Role Summary**
Design, develop, and operationalize cloud‑first, AI‑powered enterprise services that power the JazzX AI platform. Lead architectural decisions, mentor junior engineers, and collaborate with cross‑functional teams to deliver scalable, secure, and high‑performance AI applications.
**Expectations**
- Minimum 5 years building and operating cloud services at enterprise scale.
- Deep experience with containers (Docker), orchestration (Kubernetes), and infrastructure‑as‑code (Terraform, CloudFormation, Ansible).
- Strong background in AI/ML system design, MLOps pipelines, and modern GenAI/LLM services (e.g., LangChain, LlamaIndex).
- Demonstrated leadership in mentoring and driving best practices.
- Proactive, growth‑oriented mindset with a passion for cutting‑edge AI technologies.
**Key Responsibilities**
1. Architect and implement scalable, secure AI and data services for the platform.
2. Champion modern design patterns, coding standards, and testability.
3. Own integration, deployment, and availability of services using CI/CD and IaC.
4. Implement monitoring, alerting, and incident response to ensure high uptime.
5. Mentor junior engineers and foster a collaborative, inclusive team culture.
6. Collaborate with AI researchers, product managers, and designers to translate requirements into modular, reusable components.
**Required Skills**
- Cloud platforms (AWS, Azure, GCP) – design, deployment, operations.
- Containerization & orchestration: Docker, Kubernetes.
- Infrastructure‑as‑Code: Terraform, CloudFormation, or equivalent.
- AI/ML: MLOps lifecycle, model serving, data pipelines.
- GenAI/LLM integration: LangChain, LlamaIndex, or similar frameworks.
- Strong programming (Python, Java, Go, or equivalent).
- DevOps practices: CI/CD, automated testing, observability.
- Excellent communication and technical mentoring.
**Required Education & Certifications**
- Bachelor’s (or higher) degree in Computer Science, Software Engineering, or related field.
- Optional certifications: AWS Certified Solutions Architect / MLOps, Google Cloud Professional ML Engineer, Azure AI Engineer, Certified Kubernetes Administrator (CKA).
San francisco, United states
On site
Senior
01-02-2026