Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
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 • EstoniaSenior💰 €6,500 - €9,000 per monthWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

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 managing complex projects end-to-end while utilizing observability tooling and CI/CD practices.

Highest-signal resume keywords
Production Experience With GoUnderstanding Of Kubernetes InternalsDeep Hands-On Experience With AWS, GCP, Or AzureExperience With CI/CD And DevOps PracticesLow-Level Systems Programming Experience In C Or C++

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Go ProgrammingKubernetes InternalsCloud Resource ManagementSystems ProgrammingObservability ToolingCI/CD PracticesContainer Runtime ExperienceCloud Storage KnowledgeLow-Level Linux ExperienceAI Coding Agents
Soft Skills
Strong Verbal And Written English SkillsAdaptableProactiveComfortable With Ambiguity
Tools & Technologies
AWSGCPAzureKarpenterCRI-ORuncContainerdEKSGKEAKS
Industry Keywords
Distributed SystemsCloud-Native OSS ContributionsWorkload RightsizingSelf-Scaling StorageGPU Capacity Optimization

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 interacting 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.
  • Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services.
  • Collaborate with product and engineering teams on problems without textbook solutions.
  • Work with time-series data, cloud provider APIs, and Kubernetes control plane internals.
  • Contribute to product direction and backlog.
  • Participate in on-call rotation for teams that require it.
  • Work across node placement and provisioning, Karpenter integrations, workload rightsizing, workload movement, self-scaling storage, and GPU capacity optimization.

Requirements

What you’ll need
  • Strong software engineering fundamentals, including clean abstractions, maintainable code, and justified architecture choices.
  • Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
  • Understanding of Kubernetes internals, including autoscaling and networking.
  • Personally driven a complex project end-to-end.
  • Experience with AI coding agents and agentic development workflows.
  • Used observability tooling in production.
  • Experience with CI/CD and DevOps practices.
  • Strong verbal and written English skills.
  • Startup mindset: adaptable, proactive, and comfortable with ambiguity.
  • Deep hands-on experience with cloud platforms such as AWS, GCP, or Azure, including compute, networking, and storage knowledge.
  • Deep knowledge of EKS, GKE, or AKS internals.
  • Container runtime experience with CRI-O, runc, or containerd.
  • Cloud storage knowledge, including block storage, CSI, volume management, and filesystem internals.
  • Low-level Linux experience with process internals, packet-level networking, filesystems, and storage.
  • Low-level systems programming experience in C or C++.
  • Kubernetes or cloud-native OSS contributions.

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.
  • Annual hackathon.
  • Team-building budget and company events.
  • Equipment budget.
  • Extra days off.
  • Quick feedback with a fast-paced workflow; most feature projects are completed in 1 to 4 weeks.