{"id":214875,"url":"https://alion.io/job/crusoe-senior-production-engineer-core-pe","title":"Senior Production Engineer, Core PE","company":{"id":48024,"name":"Crusoe","domain":"crusoe.ai","url":"https://alion.io/company/crusoe-ai","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":82,"open_postings":38,"ghost_share":0,"stale_share":0.711,"repost_share":0,"time_to_fill_p50_days":56,"computed_at":"2026-11-03T05:54:40Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dublin, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":94000,"max_usd":180000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":15},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Alertmanager","optional":false},{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"C++","optional":false},{"name":"Configuration Management","optional":false},{"name":"GCP","optional":false},{"name":"Grafana","optional":false},{"name":"HPC","optional":false},{"name":"Incident Management","optional":false},{"name":"ITIL","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Self-Healing","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Terraform","optional":false},{"name":"Unix","optional":false}],"status":"live","first_seen_at":"2026-07-20T08:20:55Z","employer_posted_date":"2026-07-20","last_verified_at":"2026-11-03T03:06:13Z","board_verified":true,"closed_at":null,"days_open":105,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":105},"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.\nWe'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.\nWe'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.\nIf 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.\nAbout This Role:\nCrusoe is building the most reliable, energy-efficient, AI-optimized cloud platform - and Production Engineering sits at the heart of that mission. As a Production Engineer focused on Operational Excellence, you will help ensure the reliability, scalability, and performance of Crusoe’s GPU cloud that powers next-generation AI workloads.\nThis role is ideal for engineers who enjoy solving complex production problems, improving large-scale distributed systems, and building automation that keeps infrastructure running smoothly. You’ll play a key role in strengthening the operational foundation of Crusoe’s cloud while helping scale infrastructure that supports demanding AI and HPC workloads.\nYou’ll partner closely with Production Engineers, infrastructure teams, and platform engineers to improve system reliability, reduce operational toil, and drive continuous improvements across Crusoe’s rapidly growing GPU cloud.\nWhat You’ll Be Working On:\nCollaborate with cross-functional teams to define and evolve availability metrics for Crusoe’s cloud platform, including establishing, measuring, and improving SLIs and SLOs\n\nParticipate in production incident response, diagnosing and resolving service disruptions while contributing to post-incident reviews and root cause analysis\n\nBuild, operate, and improve observability across Crusoe’s infrastructure using tools such as Prometheus, Grafana, Alertmanager, and OpenTelemetry\n\nIdentify reliability risks, performance bottlenecks, and early indicators of potential production issues across distributed systems\n\nDevelop automation and tooling that reduces operational toil, improves recovery times, and enables self-healing infrastructure\n\nPartner with compute, networking, storage, and platform teams to strengthen service resilience and disaster recovery capabilities\n\nContribute to improving operational processes, knowledge sharing, and reliability best practices across the engineering organization\n\nContinue growing technical depth through mentorship, training, and hands-on work operating large-scale AI infrastructure\n\nWhat You’ll Bring to the Team:\n5+ years of experience in Production Engineering, SRE, or large-scale infrastructure operations\n\nExperience supporting GPU workloads, HPC environments, or latency/throughput-sensitive distributed systems\n\nStrong knowledge of Linux/Unix systems, including debugging complex issues across kernel and user space\n\nPrevious experience in Infrastructure roles building or managing compute, storage or networking platforms\n\nUnderstanding of modern cloud infrastructure fundamentals including Kubernetes, distributed systems, virtualization, and cloud platforms (AWS/GCP)\n\nFamiliarity with incident management practices and reliability frameworks (SRE, ITIL, or similar)\n\nExperience with monitoring and observability tools such as Prometheus and Grafana, or a strong desire to deepen expertise in this area\n\nFamiliarity with infrastructure-as-code and configuration management tools such as Terraform or Ansible\n\nScripting or programming experience with languages such as Go, Python, C, or C++\n\nStrong communication skills and the ability to collaborate across engineering teams\n\nAbility to remain calm and effective while troubleshooting complex issues in high-impact production environments\n\nA growth mindset and strong interest in reliability engineering, automation, and operational excellence\n\nBonus Points:\nExperience working with Kubernetes or container orchestration platforms at scale\n\nExposure to change management processes, operational readiness reviews, or structured root cause analysis\n\nExperience designing self-healing systems, automated remediation, or event-driven operational tooling\n\nInterest in scaling AI or HPC infrastructure and solving reliability challenges in GPU-heavy environments\n\nPassion for mentorship, learning, and developing deeper expertise in Production Engineering\n\nBenefits:\nCrusoe 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.\nCompensation:\nCompensation 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.\nCrusoe is an Equal Opportunity Employer. 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