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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 prolong Workload: Full-time Start Date: July Rate: up to $55-70/hourly Location: USA Must-have Skills: Strong experience in infrastructure operations, systems administration, site reliability engineering (SRE), platform engineering, or related disciplines Hands-on experience supporting highly available enterprise production environments Practical expertise in Linux/Unix or Windows Server administration, cloud infrastructure operations, enterprise monitoring, or infrastructure automation Strong knowledge of incident, change, and problem management processes Advanced troubleshooting and root cause analysis skills Nice-to-Have: Experience working within banking, financial services, or other regulated industries Understanding 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 advantage Position Requirements In 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. Responsibilities Support 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. Requirements Strong experience in infrastructure operations, systems administration, site reliability engineering, platform engineering, or related disciplines Experience supporting highly available production systems in enterprise environments Hands-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 automation Understanding of incident, change, and problem management processes Strong troubleshooting and root cause analysis skills in complex operational environments Familiarity with IT operations in regulated industries, preferably banking or financial services Knowledge of banking operations such as payments, treasury, lending, wealth or asset management, securities, custody, or operational risk is an advantage Exposure to IBM Z, z/OS, CICS, DB2, IMS, RACF, JES, SDSF, or related technologies is beneficial Ability 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 team Interview2: Tech discussion with the end customer Offer & 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. Information about the processing of your personal data is provided in our Privacy Policy, which is available online a Privacy Policy Originally posted on Himalayas