Senior Software Engineer | Kimchi (Api Platform Team)

CAST AIMalta, MT

undefined6,500 - undefined9,000 / month

Apply with Sonara

Overview

Schedule

Full-time

Career level

Senior-level

Remote

Compensation

undefined6,500-undefined9,000/month

Benefits

Career Development

Tuition/Education Assistance

Home Office Reimbursement/Stipend

Job Description

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.

#LI-Remote

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.

Apply with Sonara Apply manually

FAQs About Senior Software Engineer | Kimchi (Api Platform Team) Jobs at CAST AI

What is the work location for this position at CAST AI?

This job at CAST AI is located in Malta, MT, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.

What pay range can candidates expect for this role at CAST AI?

Candidates can expect a pay range between $6,500–$9,000 per month for this role.

What employment applies to this position at CAST AI?

CAST AI lists this role as a Full-time position.

What experience level is required for this role at CAST AI?

CAST AI is looking for a candidate with "Senior-level" experience level.

Does CAST AI allow remote work for this role?

Yes, this position at CAST AI supports remote work, giving candidates the flexibility to work outside the primary office location.

What benefits are offered by CAST AI for this role?

CAST AI offers following benefits: Career Development, Tuition/Education Assistance, Home Office Reimbursement/Stipend, and Health & Wellness Programs for this position. Actual benefits may vary depending on the employer's policies and employment terms.

What is the process to apply for this position at CAST AI?

You can apply for this role at CAST AI either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.