Senior Go Engineer: AI-Driven Kubernetes Systems

Cast AI

Ireland

Remote

EUR 73,000 - 100,000

Full time

3 days ago
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Job summary

Cast AI is seeking an experienced Systems Engineer to design and operate autonomous Kubernetes infrastructure at scale. You will write Go services that manage cloud resources in AWS, GCP, and Azure, and own features end-to-end from design to production rollout.

Join a remote-first, international team that values fast delivery, observability, and pragmatic problem-solving. Strong English and startup mindset required.

Qualifications

  • Strong software engineering fundamentals and clean architecture decisions.

Responsibilities

  • 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.
  • 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.

Skills

Go programming
Kubernetes internals
Systems programming
Observability tools
CI/CD practices
English proficiency
Startup mindset
On-call experience
Distributed systems design

Tools

Terraform
Prometheus
Grafana
Loki
Tempo
gRPC
Karpenter

Job description

Cast AI is seeking an experienced Systems Engineer to design and operate autonomous Kubernetes infrastructure at scale. You will write Go services that manage cloud resources in AWS, GCP, and Azure, and own features end-to-end from design to production rollout.

Join a remote-first, international team that values fast delivery, observability, and pragmatic problem-solving. Strong English and startup mindset required.

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