dennisthiessenandClaude Opus 5
a0ec2fedb5
Scout run 2026-09-04 (36 companies, 778 eligible) plus the NVIDIA package it surfaced, and the tooling and policy fixes found along the way. Application - NVIDIA Senior DevOps Engineer, Zurich (JR2024256): submitted 2026-09-05. Evidence Fit 64/100 Stretch, hard gate FAIL x2, channel Weak. Sent on an explicit user override with the working model unresolved, so hybrid-vs-onsite is a live screening topic. 2pp resume + 1pp cover letter, both validators PASS, 0 boxes, 0 Tier 1 findings open. Policy - Drop the 7 Core / 2 Adjacent / 1 Stretch cohort caps. They had no derivation and were overridden whenever they bound, and the cohort was confounded: it tested fit class while holding channel constant at Weak across all six applications. Keep the recording, drop the rationing. - Channel replaces the slot budget as the rationed variable: no application goes out cold when a named contact is published and reachable. - Propagated through shared_ops, session_file_template, cohort_tracker (counts, never counts-against-a-target) and application_cohort.json. Tool fixes - fetch_workday emitted 404 URLs for every Workday company (NVIDIA, Novartis, Equinor): externalPath is site-relative and needs the locale + site prefix. 6/6 short-form 404, 3/3 long-form 200. 773 dead links repaired across 42 archived reports. - find_decision_url silently de-linked decisions on two boards, which is why ruled-out roles kept resurfacing as undecided. RUAG rotates its UUID on repost; BIS migrated its vacancy URL scheme, orphaning 5 decisions including a live application. Fixed as a two-tier match, not a slug key -- slugs collide (two live RUAG reqs shared one). Knowledge base - claims.json: add Bash / shell scripting, the third canonical gap of this shape after Ansible and Linux administration. - bundle_data_platform: BS-4 was framed as a delivered observability stack over what claims.json calls a proof of concept -- the defect the 2026-08-21 sweep was told to look for. - CLAUDE.md and AGENTS.md: correct the RUAG Data Lakehouse shortlist claim, which the JD does not support and which both files still asserted. - resume_template: comment-guard the missing babel/ngerman language block. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01QFb8tTCig5r1KzkQiNXcYt
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96 lines
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URL: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Switzerland-Zurich/Senior-DevOps-Engineer_JR2024256
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HTTP: 200
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TITLE: Senior DevOps Engineer
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CAREERS AT NVIDIA
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Senior DevOps Engineer
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Switzerland, Zurich
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time type
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Full time
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posted on
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Posted 3 Days Ago
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job requisition id
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JR2024256
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NVIDIA is a world leader in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention, the GPU, has transformed modern computing and is at the heart of our products and services. We set the standard in groundbreaking technology, making NVIDIA one of the technology industry’s most desirable employers. We are seeking a talented and passionate DevOps Engineer to join our team.
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If you excel at creative problem-solving, thrive in a fast-paced environment, and are eager to collaborate with distributed teams, we want to hear from you!
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What You’ll Be Doing:
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Design, build, and maintain robust HPC and cloud infrastructure utilizing state-of-the-art technologies and cutting-edge hardware.
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Automate the deployment, configuration, and management of network and compute resources, including bare metal servers, network switches, and VMs.
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Develop and streamline CI/CD pipelines to enable continuous integration and delivery for our R&D engineering teams.
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Optimize infrastructure for availability, performance, observability, security, scalability, and cost-efficiency. Collaborate closely with software development teams to integrate automated testing and quality assurance into deployment workflows.
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Troubleshoot and resolve issues spanning infrastructure, networking, hardware, and software environments. Stay current with industry trends and incorporate best practices in DevOps and infrastructure management.
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What We Need to See:
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Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
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10+ years of experience building and maintaining DevOps processes, with a strong focus on automation and reliability.
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Solid experience with major Linux distributions (CentOS, Ubuntu, RedHat). Proficient scripting skills in Bash, Python, or Groovy.
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Deep understanding of Linux virtualization technologies (QEMU/KVM, Docker) and orchestrators like Kubernetes.
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Hands-on experience with configuration management tools (e.g., Ansible). Strong expertise in on-premises networking and compute infrastructure.
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Familiarity with CI/CD tools such as Jenkins, GitHub/GitLab, Kubernetes, and GitHub Actions. Excellent written and verbal communication skills in English.
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Ways To Stand Out From The Crowd:
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Experience working in agile DevOps teams and complex technical environments Proven ability to achieve or exceed security, reliability, scalability, and availability goals.
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In-depth understanding of modern HPC and infrastructure architectures.
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Passion for staying at the forefront of emerging technologies and best practices
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Join and work on technologies that are transforming entire industries. We offer an innovative and inclusive environment where your contributions matter, and your ideas shape the future.
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