Find Production engineer (kubernetes) Jobs in Swords, D

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Production Engineer (Kubernetes)

Crusoe -
Dublin, County Dublin

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Job details

Full-time

Benefits

Private dental insurance

Qualifications

Operating systems
Go
Computer Science
Kubernetes
UNIX
Bachelor's degree
Distributed systems
Linux
TCP/IP
AI
Communication skills
Python

Full job description

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.

About This Role:

At Crusoe, our Production Engineering team plays a pivotal role in ensuring the reliability and performance of our infrastructure. Production Engineer at Crusoe is dedicated to detecting, analyzing, and preventing issues to maintain high Service Level Agreements (SLAs) through Service Level Indicators (SLIs) and Service Level Objectives (SLOs). Through automation and proactive remediation, our Production Engineers resolve common errors automatically, then advise various engineering teams how to build resilient code. We anticipate and resolve issues before they impact our customers, conduct thorough post-mortems, and drive continuous improvement. Our customer-centric approach ensures that clients always have access to the virtual machines they depend on. This role is crucial for maintaining the "gold standard" reliability and performance of Crusoe's AI platform. The ideal candidate has experience in Production Engineering practices, understanding of distributed systems, networking, Linux, and a passion for automation and problem-solving. This is a full-time position.

What You’ll Be Working On:

Building Kubernetes Platform: Focus on scaling tooling and features dedicated to Crusoe's Managed Kubernetes and Managed VM platforms for external customers.
Collaboration and Planning: Collaborate with the team in morning stand-up meetings to discuss ongoing projects, recent incidents, and priorities for the day. Collaborate on action plans for deploying new data centers or retrofitting existing ones. Work closely with software engineers, advising on best practices for resilient code and reviewing changes before deployment.
System Monitoring and Alerting: Review overnight alerts and system performance metrics to ensure everything is running smoothly. Analyze system logs and develop tools to enhance our monitoring capabilities.
Incident Response and Problem Solving: Engage in incident response drills, post-mortems, and root cause analysis sessions to learn from past issues and prevent future ones. Resolve common errors automatically through automation and proactive remediation.
Performance Monitoring and Optimization: Stay focused on maintaining high SLIs and SLOs, ensuring that our infrastructure remains robust and reliable for our customers.
Documentation and Knowledge Sharing: Document work, share insights with the team, and plan for the next day's challenges, always with a customer-centric mindset.

What You’ll Bring to the Team:

Production Engineering Experience: 3-6 years of professional Production Engineer experience.
Kubernetes: Experience building Kubernetes platforms or Kubernetes controllers
Server Hardware and Provisioning: Exposure to server-class hardware & provisioning.
Distributed Systems Architecture: Understanding of distributed system architecture; exposure to common design patterns, reliability, and scaling.
Infrastructure Design: Basic understanding of infrastructure design: Familiarity with the operational trade-offs of network, storage, and RPC serving designs.
Programming Proficiency: Proficiency with at least one programming language (Python, Go, or similar).
Observability Tooling: Exposure to Observability tooling and philosophy: logging, monitoring, and alerting tools.
Operating Systems: Experience with Unix/Linux environments.
Networking Fundamentals: Understanding of network fundamentals: Basics of TCP/IP and network programming.
Information Security Awareness: Awareness of basic information security best practices.
Education: Bachelor's Degree in Computer Science, related field, or self-educated in computer science fundamentals.
Soft Skills: Strong communication skills.
Company Values: Embody the Company values.

Benefits:

Crusoe also offers a competitive benefits package designed to support financial security, health, and overall well-being, including pension contributions, private health and dental insurance, income protection, life assurance and more.

Compensation:

Compensation will be paid as salary or hourly. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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Refine Your Search

production engineer (kubernetes) jobs in swords, d

Production Engineer (Kubernetes)

Staff Software Engineer, Inference

Site Reliability Engineer

Site Reliability Engineer - Multicloud Platform

Senior Software Engineer, Inference

Senior Software Engineer

DevOps Engineer (Azure)

Devops Engineer

Senior Integration Engineer

Site Reliability Engineer

Sr Machine Learning / AI Engineer / MLOps Engineer

Site Reliability Engineer - Cloud Infrastructure

Senior Java Engineer

Senior AWS Engineer

Staff Backend Engineer - Accounting - 100% Remote - EMEA

API Test Infrastructure Engineer

Azure DevOps Engineer

AWS Architect

Senior Site Reliability Engineer (R-19383)

Cloud Engineer (R-19382)

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