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Cast AI

Senior Software Engineer – Kubernetes Automation

Cast AI

. Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale.

Posted 11/4/2026full-timeRemote • CyprusSenior💰 €6,500 - €9,000 per monthWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and building distributed systems on Kubernetes infrastructure, with strong production experience in Go and a deep understanding of cloud platforms like AWS, GCP, and Azure. Capable of driving complex projects end-to-end while utilizing observability tooling and CI/CD practices.

Highest-signal resume keywords
Go ProgrammingKubernetes InternalsCloud Platform ExperienceCI/CD PracticesObservability Tooling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Distributed Systems DesignProduction Go ServicesSystems ProgrammingKubernetes AutomationTime-Series Data ManagementCloud Resource ManagementDebugging Complex IssuesAI Coding AgentsLow-Level Linux ExperienceContainer Runtime Experience
Soft Skills
Strong English CommunicationAdaptabilityProactivityProblem Solving
Tools & Technologies
AWSGCPAzureKubernetesCI/CD ToolsObservability Tools
Industry Keywords
Cloud InfrastructureDevOps PracticesStartup MindsetCloud-Native OSS Contributions

Tech Stack

Tools & technologies
AWSAzureCloudDistributed SystemsGoogle Cloud PlatformKubernetesLinuxNode.jsC++Go

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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.