Senior Software Engineer | Kimchi (API Platform Team)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Could not be confirmed either way
Last checked just now — checked against the employer's own applicant tracking system, which is the company answering directly.
The employer's own board was still advertising this when we last read it, though our own check is not current.
How old is it?
Posted 3h ago
The date the source published, not the day we noticed it (2026-10-02). Last seen at its source 1h ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, Ukraine
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay €77.0k–84.8k/yr
Middle 50% of 9 listings that do state pay — Engineering · all levels · Bulgaria · EUR/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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greenhouse employer's own board first seen 1h ago · last seen 1h ago
The listing
Why Kimchi?
Kimchi is the AI platform inside CAST AI. We started by helping companies run LLMs on their own Kubernetes clusters and now we're providing a managed variant of those same capabilities.
Our Infrastructure today
Multi-model inference (MiniMax, Kimi, GLM-5, Nemotron, DeepSeek) with intelligent routing, an OpenAI-compatible API and deployment ranging from our GPUs to your own VPC. The inference layer is the foundation and the API is what sits in front of it as the primary channel for broadly and reliably distributing our AI services and powers our own Kimchi harness.
As a Senior Software Engineer, you will have the opportunity to work on different key features of our product. All of these are high-agency roles across multiple parts of the tech stack that minimize process friction that would otherwise prevent you from shipping.
In every team you will own features end-to-end: design, implementation, testing, production rollout. Most projects ship in 1-4 weeks. You'll work directly with product and other engineering teams on problems that don't have textbook solutions.
We are currently hiring Senior Software Engineers for the API Platform Team:
Owns the inference API responsible for delivering our AI services across the world while making sure it's reliable and capable to scale in tandem with our company's growing ambitions, as well as our analytical platform, billing and role-based controls that enable our users to monitor and control their usage with ease - be it as a solo developer or a large enterprise. You'll own our infrastructure, datastores, analytics, observability and CI/CD pipeline.
Responsibilities:
- Develop with observability in mind, identify bottlenecks and optimize for performance. When p99 latency climbs, you find the cause through query profiles and flame graphs instead of raising the alert threshold.
- Design the datastores and distributed systems behind the inference API, and keep them reliable as usage scales from a solo developer to a large enterprise.
- Build the billing, usage metering, and role-based controls that let users monitor and govern their own consumption. Catch correctness problems where a wrong number costs you trust.
Requirements
- Production experience with Go or Typescript is strongly preferred; candidates without either should demonstrate strong systems programming skills in a comparable language.
- Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage.
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) and Kubernetes is a strong plus
- Observability tooling (Prometheus, Grafana, OpenTelemetry), CI/CD and DevOps practices experience.
- Startup mindset: adaptable, proactive, and comfortable with ambiguity.
- Strong English skills, both verbal and written.
- You've personally driven a complex project end-to-end.
What’s in it for you?
- Competitive salary (€6,500 - €9,000 gross, depending on the level of experience).
- 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.
- Annual hackathon to spark new ideas and strengthen team bonds.
- 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
- Technical interview (system design)
- Live coding
- Culture Check interview with an executive
As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
Please note that Cast AI does not provide any form of visa sponsorship/work permit.
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