Senior Kubernetes Automation Engineer — Remote

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

Benefits offered by this job

Remote-first position

Equity options

Learning budget for conferences and课程

Hackathons

Equipment budget

Additional days off

Team-building budget

Job summary

castaigroupinc is hiring for a remote engineer to design and build distributed systems that autonomously run Kubernetes infrastructure at scale. You will deliver production services interfacing with AWS, GCP, and Azure to manage resources in real time.

The role emphasizes end-to-end ownership, strong Go or systems programming background, and a proactive startup mindset, with on-call rotations and cross-team collaboration.

Qualifications

• Strong software engineering fundamentals.
• Production Go experience preferred or depth in systems programming.
• Knowledge of Kubernetes internals, autoscaling & networking.
• Proven track record delivering complex end-to-end projects.
• Hands-on with AI coding agents and agentic development workflows.
• Familiar with observability tooling, CI/CD and DevOps practices.
• Excellent written and spoken English; startup mindset.

Responsibilities

• Design and build distributed systems that autonomously operate Kubernetes infrastructure at scale.
• Develop production 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, typically within 1–4 weeks.
• Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services.
• Collaborate with product and engineering peers on ambiguous problems, shaping backlog and direction.
• Participate in on-call rotation and work with time-series data and cloud provider APIs.

Skills

Go

Kubernetes

AI coding agents

CI/CD

Observability tooling

English

Job description

castaigroupinc is hiring for a remote engineer to design and build distributed systems that autonomously run Kubernetes infrastructure at scale. You will deliver production services interfacing with AWS, GCP, and Azure to manage resources in real time.

The role emphasizes end-to-end ownership, strong Go or systems programming background, and a proactive startup mindset, with on-call rotations and cross-team collaboration.