{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/automation-tooling"},"x-facet":{"type":"skill","slug":"automation-tooling","display":"Automation Tooling","count":5},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5465ae79-24e"},"title":"Analytics & Systems Lead, Finance","description":"<p>We&#39;re seeking an experienced Analytics &amp; Systems Lead to join our Finance team. In this role, you will work closely with stakeholders across business finance, corporate finance, and accounting to design and develop internal tools and AI agents that automate workflows across finance and accounting.</p>\n<p>You will design data models, prototype internal tools, and implement agent-driven workflows using our internal data infrastructure, system integration tooling, Scale&#39;s proprietary AI platform, and emerging AI tools.</p>\n<p>Key responsibilities include designing and developing end-to-end agent-driven workflows, building scalable data models and pipelines, partnering with stakeholders to translate business requirements into technical requirements, and collaborating with engineering teams to develop internal tools.</p>\n<p>Ideal candidates will have 5+ years of experience in data analytics, analytics engineering, or data science roles, expert knowledge of SQL and Python, and experience building internal tools, automation systems, or data products.</p>\n<p>Compensation packages at Scale include base salary, equity, and benefits, with a base salary range of $200,000-$250,000 USD for this full-time position in San Francisco.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5465ae79-24e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4673090005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$200,000-$250,000 USD","x-skills-required":["SQL","Python","data analysis","data modeling","internal tools","automation systems","data products"],"x-skills-preferred":["JavaScript","modern automation tooling"],"datePosted":"2026-04-18T15:59:26.227Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Python, data analysis, data modeling, internal tools, automation systems, data products, JavaScript, modern automation tooling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":200000,"maxValue":250000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_766c8fe9-693"},"title":"IT Operations Specialist","description":"<p>CoreWeave is seeking an IT Operations Specialist to play a key role in supporting and scaling its internal IT environment. As an IT Operations Specialist, you will blend hands-on end-user and systems support with automation, platform ownership, and process improvement. You will work daily across identity, endpoints, SaaS platforms, and office infrastructure, while contributing to repeatable, scalable solutions that support a growing, distributed workforce.</p>\n<p>This role requires strong technical depth, sound operational judgment, and comfort operating in a fast-moving environment. You will work closely with Security, Systems Engineering, People Ops, and Engineering to support the full employee lifecycle while continuously improving reliability, automation, and operational maturity.</p>\n<p>Key responsibilities include administering identity and access management platforms, managing macOS and Windows endpoints, administering ITSM platforms, and troubleshooting across SaaS, endpoint, identity, and network layers. 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You will support threat intelligence, threat hunting, intrusion detection, and incident response efforts that adhere to, and push forward, best practices.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Certifications like CISA, CRISC, CGEIT, Security+, CASP+, or similar are preferred.</li>\n<li>Drive continual improvement in processes, procedures, and automations to improve the quality and effectiveness of the team.</li>\n<li>Participate in a 24/7 on-call rotation performing security incident response.</li>\n<li>Commandeering security incidents and updating stakeholders.</li>\n<li>Identify and develop new detection use cases and optimize existing detections.</li>\n<li>Collaborate on technical directions and solutions with other teams.</li>\n<li>Research and analyze patterns in security events across X&#39;s global infrastructure.</li>\n<li>Identify, design, and lead threat hunting missions to quantify and reduce threats.</li>\n<li>Manage and support the log collection, security scanning, intrusion detection, and other security-related systems.</li>\n<li>Design and assist in the development of automation to reduce false positives and handle events automatically.</li>\n<li>Analyze the security posture of systems via testing and vulnerability impact analysis.</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>2+ years of relevant information security experience.</li>\n<li>Self-starter, can receive a task and execute with minimal supervision.</li>\n<li>Strong Python scripting skills for implementing security automation.</li>\n<li>Knowledge of networking and macOS, Windows, or Linux operating systems.</li>\n<li>Knowledge of cloud security fundamentals and practices (vendor agnostic).</li>\n<li>Experience managing and/or deploying security technology.</li>\n<li>Experience with building queries and dashboards for security monitoring.</li>\n<li>Knowledge of current threats and techniques and a desire to research and learn more.</li>\n<li>Experience with malware analysis, forensics, or penetration testing.</li>\n<li>Problem-solving skills or experience with troubleshooting.</li>\n</ul>\n<p>ITAR Requirements:</p>\n<p>To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. 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You&#39;ll partner closely with engineering leaders and teams across Common Services to define how we build, release, monitor, and operate critical services,raising the bar on reliability, availability, and operational excellence across the board.</p>\n<p>In this role, you will:</p>\n<ul>\n<li>Establish and lead the SRE / production engineering practice for the Common Services organization, including standards for reliability, incident management, and on-call, in partnership with the central Product Engineering organization.</li>\n<li>Develop an Operational Excellence strategy that focuses on not only improving system performance but also monitoring and reducing operational toil</li>\n<li>Partner with engineering and product teams to define SLOs, SLIs, and error budgets for critical Common Services, and ensure these become part of how teams plan and make tradeoffs.</li>\n<li>Own and improve the incident management lifecycle for Common Services, including on-call rotations, escalation 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Your success will mean customers moving faster, trusting Databricks deeper, and feeling the impact of your systems every day.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Owning the technical vision and architecture for Databricks&#39; Support Automation and Tooling ecosystem</li>\n<li>Leading hands-on development of automation to improve customer experience and Support scalability</li>\n<li>Driving rapid, iterative development while upholding quality, safety, and reliability standards</li>\n<li>Designing agentic workflows that evolve from human-in-the-loop to fully automated systems</li>\n<li>Implementing observability, transparency, and rollback mechanisms for AI-driven decisions</li>\n<li>Acting as the primary technical interface between Support, Product, and Platform Engineering to align technical roadmaps and unblock dependencies</li>\n<li>Setting a high engineering bar for quality, reliability, and maintainability in line with Databricks standards</li>\n<li>Mentoring engineers and SMEs across Software and Support Engineering functions</li>\n</ul>\n<p>We&#39;re looking for someone with:</p>\n<ul>\n<li>A BS or higher degree in Computer Science or a related field</li>\n<li>Technical leadership experience in large projects similar to those described, including automation tooling, distributed systems, and APIs</li>\n<li>Extensive full-stack development experience</li>\n<li>Proven success designing and deploying production-grade automation in complex technical environments</li>\n<li>Hands-on experience with ML-assisted systems, decision support, or agentic automation</li>\n<li>Deep familiarity with distributed data platforms, developer tooling, and large-scale infrastructure systems</li>\n<li>Understanding of multi-cloud environments (AWS, Azure, GCP), compliance, and security constraints</li>\n</ul>\n<p>Pay Range Transparency</p>\n<p>Databricks is committed to fair and equitable compensation practices. 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