We are looking for a VibeOps Engineer to support mission-critical banking infrastructure across enterprise and IBM Z environments. This role combines infrastructure operations, SRE practices, and AI-powered operational assistants to improve reliability, accelerate incident resolution, and modernize enterprise operations. The ideal candidate has strong experience in production support, infrastructure engineering, troubleshooting, and highly available enterprise systems, preferably within banking or other regulated industries.Engagement Duration: 6 months + possibility to prolongWorkload: Full-time Start Date: JulyRate: up to $55-70/hourlyLocation: USAMust-have Skills: Strong experience in infrastructure operations, systems administration, site reliability engineering (SRE), platform engineering, or related disciplinesHands-on experience supporting highly available enterprise production environmentsPractical expertise in Linux/Unix or Windows Server administration, cloud infrastructure operations, enterprise monitoring, or infrastructure automationStrong knowledge of incident, change, and problem management processesAdvanced troubleshooting and root cause analysis skillsNice-to-Have:Experience working within banking, financial services, or other regulated industriesUnderstanding of banking operations (payments, treasury, lending, wealth management, securities, custody, operational risk)Exposure to IBM Z and related technologies (z/OS, CICS, DB2, IMS, RACF, JES, SDSF) is an advantagePosition RequirementsIn this role, you will operate mission-critical banking infrastructure at the intersection of enterprise operations, AI, and legacy platforms. You will use AI-powered operational assistants to support IBM Z and surrounding enterprise environments, helping teams resolve incidents faster, improve reliability, and scale institutional knowledge in a modern way. This is an opportunity to shape a new operating model where human judgment and AI work together across complex, high-availability systems.ResponsibilitiesSupport production infrastructure powering critical banking operations across enterprise platforms and systems Utilize AI-powered operational assistants to troubleshoot incidents, access platform knowledge, and execute operational procedures Monitor system health, performance, availability, and reliability across both legacy and distributed technology environments Investigate incidents, perform root cause analysis, and drive timely resolution of production issues Participate in change management, release management, disaster recovery, and business continuity activities Collaborate with infrastructure, application, cybersecurity, risk, and business teams to ensure service availability and stability Identify and implement opportunities for automation, operational improvements, and increased platform efficiency Contribute to operational excellence initiatives and the evolution of AI-augmented operations practices Apply modern infrastructure engineering and SRE principles within complex, regulated enterprise environments. RequirementsStrong experience in infrastructure operations, systems administration, site reliability engineering, platform engineering, or related disciplinesExperience supporting highly available production systems in enterprise environmentsHands-on experience with one or more of the following: Linux or Unix administration, Windows Server administration, SRE, cloud infrastructure operations, middleware administration, enterprise monitoring, or infrastructure automationUnderstanding of incident, change, and problem management processes Strong troubleshooting and root cause analysis skills in complex operational environmentsFamiliarity with IT operations in regulated industries, preferably banking or financial servicesKnowledge of banking operations such as payments, treasury, lending, wealth or asset management, securities, custody, or operational risk is an advantageExposure to IBM Z, z/OS, CICS, DB2, IMS, RACF, JES, SDSF, or related technologies is beneficialAbility to learn quickly and adapt in complex technology ecosystems Strong communication and collaboration skills for working across technical and business teams. Recruitment Process:CV Screening: Applications are reviewed within 24 hours.Pre-Screening: A short Q&A session (AI or with a recruiter) to assess your experience.Shortlisting: Selected candidates are presented to the hiring manager.Interview1: Tech discussion with the project teamInterview2: Tech discussion with the end customerOffer & Onboarding: Successful candidates receive an offer and start the onboarding process.Note: You can choose to complete the pre-screening via an automated session (recommended for faster feedback) or with a recruiter.
