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Senior Software Engineer – Kubernetes Automation

🔥 0 minutes ago

🇨🇾 Cyprus – Remote

💵 €6.5k - €9k / month

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

Where this job comes from

Posted on Cast AI's careers page, not through a job board

First seen by Remote Rocketship 0 minutes ago

Logo of Cast AI

Cast AI

201 - 500 employees

Founded 2019

☁️ SaaS

🤖 Artificial Intelligence

🤝 B2B

SaaS • Artificial Intelligence • B2B

Cast AI is a SaaS platform that automates Kubernetes application performance, infrastructure, and cost optimization for cloud-native teams. It connects to EKS/AKS/GKE and on-prem clusters with no code changes, uses predictive models and runtime signals to rightsize pods, scale nodes, optimize GPUs and Spot instances, and run approved self-healing runbooks to maintain reliability and reduce cloud spend. Cast AI targets platform, SRE, and FinOps teams and supports AI/LLM workloads, GPU optimization, and real-time workload placement and cost intelligence.

📋 Description

• Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale. • Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management. • Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks). • Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services. • Collaborate with product and other engineering teams to solve problems that don't have textbook solutions. • Work with time-series data, cloud provider APIs, and Kubernetes control plane internals. • Contribute to product direction and backlog - shape what gets built next, not just how it's built. • Participate in on-call rotation for teams that require it. • Develop Kubernetes automation covering node placement and provisioning, workload rightsizing, workload migration, storage scaling, and GPU capacity optimization.

🎯 Requirements

• Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. • Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. • Understanding of Kubernetes internals – autoscaling and networking. • You've personally driven a complex project end-to-end. • Experience with AI coding agents and agentic development workflows. • You've used observability tooling in production. • CI/CD and DevOps practices experience. • Strong English skills, both verbal and written. • Startup mindset: adaptable, proactive, and comfortable with ambiguity. • Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) – including real understanding of how compute, networking, and storage work under the hood. (Nice-to-have) • Deep knowledge of EKS, GKE, or AKS internals. (Nice-to-have) • Container runtime experience CRI-O, runc, containerd. (Nice-to-have) • Cloud storage depth – block storage, CSI, volume management, filesystem internals. (Nice-to-have) • Low-level Linux experience: process internals, packet-level networking (NAT, iptables, conntrack, eBPF, SDN), filesystems, storage. (Nice-to-have) • Low-level systems programming experience in C or C++. (Nice-to-have) • Kubernetes or cloud-native OSS contributions. (Nice-to-have) • Experience with AI coding agents and agentic development workflows. (Nice-to-have) • Cast AI does not provide any form of visa sponsorship/work permit.

🏖️ Benefits

• Enjoy a flexible, remote-first global environment. • Equity options. • 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.

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