Developer Relations & Experience Engineer
- Location
- Remote - Los Angeles
- Work type
- Full Time
- Posted
- 2026-10-15
Job description
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
Responsibilities
Build things publicly with the Cast AI suite of products – Core, GPU Optimization, Database Optimization (DBO), and Kimchi – tutorials, demos, integrations – that show developers how to solve real problems. Think live build logs, OSS integrations, or benchmarks you’d want to read yourself.
Be the voice of the the developer community: Discord, GitHub discussions, Reddit, HN – be present where developers are already talking about the problems we solve
Be the structured feedback loop between our diversity of users and the product – synthesize what you’re hearing into actionable signals for the product team.
Write technical content that ranks and spreads: setup guides, benchmark breakdowns, comparison posts, integration walkthroughs
Speak at conferences, meetups and run workshops – representing Cast AI core products & Kimchi as a technical peer
Identify where new users get stuck and advocate hard for fixes
Help shape Cast AI’s voice across practitioner communities (devs, DevOps, CNCF, AI, platform/SRE) – what we stand for, what we say when there is trending news in the market
Requirements
You’ve built real software and can talk about it credibly – ideally you’ve used Kubernetes and peripheral CNCF ecosystem tooling, as well as agentic coding tools and have opinions about them
You’re a strong technical writer – you can explain complex things clearly and make them resonate with the developer audience
You’re comfortable being the public face of a technical product: blog posts, talks, live demos, community threads
Huge plus: You’d have tested and found problems Cast AI & Kimchi solve interesting – before this job posting even existed
Bonus: you’ve worked in or around Kubernetes, LLM inference, or developer tooling
What’s in it for you?
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
Hiring process
Screening call with Recruiter
Hiring Manager interview
1-2 additional interviews based on the role
Culture Check interview with an executive