Cloud Engineer — Kubernetes & Go, Contract with Mentorship

Energy Innovation Corp

Hot Springs (AR)

On-site

USD 71,000 - 108,000

Full time

5 days ago
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Benefits offered by this job

Mentorship
Flexible contract schedule
Benefits

Job summary

Energy Innovation Corp in Hot Springs, AR is hiring a Cloud Engineer who treats latency budgets like personal grudges and mentors like a second language. The role centers on ownership, with a salary range of $71,000–$108,000 and a flexible contract schedule.

You will wrangle Go configurations, catch Kubernetes race conditions, and drive a GitOps workflow across production and staging while collaborating across teams to keep systems resilient during peak traffic.

Qualifications

  • Experience with cloud-native environments and Kubernetes-based deployments.
  • Strong written and verbal communication, able to document decisions clearly.
  • Ability to work independently and in a collaborative, cross-functional team.

Responsibilities

  • Wrangle Go configurations across environments so Hot Springs staging mirrors production.
  • Catch Kubernetes race conditions that surface under peak traffic.
  • Trace bugs across three Kubernetes services to the root cause and fix them.
  • Translate ideas into a disaster recovery prototype and ensure it is ready for production use.
  • Maintain GitOps workflows to keep the production environment stable during holidays and peak loads.
  • Coordinate changes safely behind feature flags for quick rollbacks in Hot Springs, AR.
  • Spike an Amazon ECS PoC to aid quick decision-making for stakeholders.
  • Read and trace cost optimization traces to identify root causes.

Skills

Go programming
Kubernetes
GitOps
Communication

Tools

Amazon ECS

Job description

Energy Innovation Corp in Hot Springs, AR is hiring a Cloud Engineer who treats latency budgets like personal grudges and mentors like a second language. The role centers on ownership, with a salary range of $71,000–$108,000 and a flexible contract schedule.

You will wrangle Go configurations, catch Kubernetes race conditions, and drive a GitOps workflow across production and staging while collaborating across teams to keep systems resilient during peak traffic.

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