Kubernetes Automation Engineer (Remote) – Equity & Growth

castaigroupinc; United States; Remote; USD 80,000 - 111,000; Full time

Benefits offered by this job

Equity options

Learning and equipment budgets

Time for personal development

Additional days off

Team events

Remote-first role in Europe/Worldwide

Job summary

castaigroupinc is seeking a distributed systems engineer to build real-time decisions for Kubernetes infrastructure. You will design and implement production Go services that manage cloud resources, automate provisioning, and optimize scheduling and storage at scale.

You will deliver features end-to-end, diagnose complex production issues across cloud providers and clusters, and participate in on-call rotations. Strong English communication and comfort with ambiguous problems are essential.

Qualifications

• Strong software engineering fundamentals with clean abstractions.
• Production Go experience preferred; comparable systems programming acceptable.
• Understanding of Kubernetes internals, autoscaling and networking.
• Experience driving a complex project through completion.
• Production experience with observability, CI/CD, and DevOps practices.
• Hands-on experience with AI coding agents and strong English communication.

Responsibilities

• Design and build services that automate Kubernetes infrastructure decisions at scale.
• Develop production Go services that manage cloud resources through provider APIs.
• Deliver features end-to-end, from design and implementation through testing and production rollout.
• Investigate complex production issues across cloud providers, clusters, and distributed services.
• Work with time-series data, cloud APIs, and Kubernetes control-plane behavior to solve infrastructure problems.
• Collaborate on product priorities and participate in on-call rotations where required.

Skills

Go programming

Kubernetes understanding

DevOps practices

Cloud APIs

Observability

On-call experience

Tools

Kubernetes

AWS

GCP

Azure

Job description

castaigroupinc is seeking a distributed systems engineer to build real-time decisions for Kubernetes infrastructure. You will design and implement production Go services that manage cloud resources, automate provisioning, and optimize scheduling and storage at scale.

You will deliver features end-to-end, diagnose complex production issues across cloud providers and clusters, and participate in on-call rotations. Strong English communication and comfort with ambiguous problems are essential.