10 months ago
Responsibilities
- Work with customers to resolve architecture, performance, recovery, security, and operational challenges.
- Serve as a customer advocate by communicating customer needs to product management and engineering teams.
- Develop internal tools for performance benchmarking, diagnostics, and automation.
- Create deployment and operational-excellence playbooks.
- Collaborate with customer success, growth, and engineering to design scalable processes and dashboards for data-informed decisions.
Requirements
- Proficiency in one or more modern programming languages such as Python, Go, Java, C++, or JavaScript/Node.js.
- Experience administering large-scale production environments involving hardware, operating systems, networks, firewalls, load balancers, and cloud platforms such as AWS, Azure, or Google Cloud.
- Strong written and verbal communication skills and a genuine desire to help people and advocate for customer success.
- Strong diagnostic instincts and the ability to investigate and resolve problems calmly and effectively in real time.
- Ability to rapidly learn new technical skills and adapt to emerging technologies.
- Strong teamwork skills and sound judgment about when to seek help or collaborate.
- Experience with AI/ML or enterprise software, especially B2B SaaS, is a plus.
- Startup or high-growth experience building processes and tools from scratch is a plus.
- Familiarity with observability tools, automation frameworks, or CI/CD pipelines is a plus.
- Basic coding or scripting abilities beyond a primary language, such as writing integrations or automations, are a plus.
About Factory
Factory is an AI research lab, bringing autonomy to software engineering with Droids.