Senior Software Engineer | Kubernetes Automation

castaigroupinc; USA; Remote; USD 80.000 - 111.000; Vollzeit

Benefits dieser Stelle

Equity options

Learning and equipment budgets

Time for personal development

Additional days off

Team events

Remote-first role in Europe/Worldwide

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Go programming

Kubernetes understanding

DevOps practices

Cloud APIs

Observability

On-call experience

Tools

Kubernetes

AWS

GCP

Azure

Jobbeschreibung

Role overview

Build distributed systems that make real-time decisions about Kubernetes infrastructure, from node provisioning and workload placement to resource sizing and storage optimization. The challenge is to improve efficiency while keeping customer workloads available as cloud capacity and cluster conditions change.

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.

Requirements

• Strong software-engineering fundamentals, including clean abstractions, maintainable code, and sound technical decisions.
• Production Go experience is preferred; comparable systems-programming experience can also apply.
• Understanding of Kubernetes internals, particularly autoscaling and networking.
• Experience personally driving a complex project through completion.
• Production experience with observability, CI/CD, and DevOps practices.
• Hands-on experience with AI coding agents, strong English communication, and an adaptable approach to ambiguous work.

Nice to have

• Deep experience with AWS, GCP, or Azure, including compute, networking, and storage behavior.
• Managed Kubernetes internals, container runtimes, CSI or volume management, or filesystem knowledge.
• Low-level Linux networking or process expertise, eBPF, or systems programming in C or C++.
• Contributions to Kubernetes or other cloud-native open-source projects.

Benefits and work setup

Remote-first role for applicants residing in Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, or Ukraine. Gross salary is €6,500–€9,000 depending on experience. Benefits include equity options, learning and equipment budgets, time for personal development, additional days off, and team events.