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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cd3b618b-96d"},"title":"Security Labs Engineer","description":"<p>Job Title: Security Labs Engineer</p>\n<p>About Anthropic</p>\n<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.</p>\n<p>About the Role</p>\n<p>Security at Anthropic is not a compliance exercise. It is a core part of how we stay safe as we build increasingly capable systems. Our Responsible Scaling Policy commits us to launching structured security R&amp;D projects: ambitious, time-boxed experiments designed to resolve high-uncertainty questions about our long-term security posture.</p>\n<p>Each project runs for roughly 6 months with defined exit criteria. Some will succeed and move toward production. Others will fail, and we&#39;ll treat that as useful signals. The questions these projects are designed to answer include:</p>\n<ul>\n<li>Can our core research workflows survive extreme isolation?</li>\n</ul>\n<ul>\n<li>Can we get cryptographic guarantees where we currently rely on trust?</li>\n</ul>\n<ul>\n<li>Can AI become our most effective security control?</li>\n</ul>\n<p>As a Security Labs Engineer, you own one or more projects end-to-end: scoping the experiment, building the infrastructure, coordinating across teams, running the pilot, documenting results, and where the experiment succeeds, helping scale it into production. This is 0-to-1 and 1-to-10 work.</p>\n<p>Current Project Areas</p>\n<p>The portfolio evolves based on what we learn. Current areas include:</p>\n<ul>\n<li>Designing and operating a mock high-assurance research environment: simulating what our infrastructure would look like under extreme isolation and physical security controls, with real measurement of productivity impact</li>\n</ul>\n<ul>\n<li>Exploring cryptographic verification of model integrity using techniques like zero-knowledge proofs to provide mathematical guarantees about what is running in production</li>\n</ul>\n<ul>\n<li>Assessing the feasibility of confidential computing across the full model lifecycle (note: this is an open question, not a committed roadmap item)</li>\n</ul>\n<ul>\n<li>Piloting AI-assisted security tooling including vulnerability discovery, automated patching, anomaly detection, and adaptive behavioral monitoring</li>\n</ul>\n<ul>\n<li>Prototyping API-only access regimes where even internal research workflows never touch raw model weights</li>\n</ul>\n<p>Part of your job is helping shape what comes next based on gaps uncovered in the current round.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Own the end-to-end execution of a Security Labs project: refine the hypothesis, design the experiment, build the prototype, run the pilot, and write up the results</li>\n</ul>\n<ul>\n<li>Build novel security infrastructure under real time pressure: isolated clusters, hardened access controls, cryptographic verification layers, with a bias toward learning fast</li>\n</ul>\n<ul>\n<li>Where experiments succeed, drive them toward production scale. An experiment that works on one cluster but not a hundred is not a finished result.</li>\n</ul>\n<ul>\n<li>Work embedded with research teams (Pretraining, RL, Inference) to stress-test whether their core workflows can function under extreme security controls, and document precisely where they break</li>\n</ul>\n<ul>\n<li>Evaluate and integrate emerging security technologies through coordination with external vendors and research groups</li>\n</ul>\n<ul>\n<li>Turn experimental results into clear, decision-ready writeups that inform Anthropic&#39;s long-term security architecture and RSP commitments</li>\n</ul>\n<ul>\n<li>Maintain a pain-point registry and feasibility assessment for each project, feeding directly into the design of production high-assurance environments</li>\n</ul>\n<ul>\n<li>Help scope and prioritize the next wave of Labs projects based on what the current round uncovers</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>7+ years of software or security engineering experience, with a solid foundation in production systems</li>\n</ul>\n<ul>\n<li>Some of that time spent on pilots, prototypes, or applied research work where shipping a working answer to a hard question was the explicit goal</li>\n</ul>\n<ul>\n<li>Strong programming skills in Python and at least one systems language (Go, Rust, or C/C++)</li>\n</ul>\n<ul>\n<li>Hands-on experience with cloud infrastructure (AWS, GCP, or Azure), Kubernetes, and networking fundamentals sufficient to stand up and tear down isolated environments quickly</li>\n</ul>\n<ul>\n<li>A track record of cross-functional execution: you can walk into a room with ML researchers, infrastructure engineers, and vendors and leave with a shared plan</li>\n</ul>\n<ul>\n<li>Clear written communication: you know how to turn six weeks of experimentation into a two-page memo someone can act on</li>\n</ul>\n<ul>\n<li>Comfort with ambiguity and iteration, having run experiments that failed, extracted the lesson, and moved forward</li>\n</ul>\n<ul>\n<li>Genuine curiosity about what it would actually take to defend against a nation-state-level adversary</li>\n</ul>\n<ul>\n<li>Passion for AI safety and a real understanding of the role security plays in making frontier AI development go well</li>\n</ul>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science, a related field, or equivalent industry experience required.</li>\n</ul>\n<p>Preferred Qualifications</p>\n<ul>\n<li>Prior experience in offensive security, red teaming, or security research, having thought adversarially about systems and knowing which threats actually matter</li>\n</ul>\n<ul>\n<li>Familiarity with airgapped or high-side environments (classified networks, ICS/SCADA, financial trading infrastructure, or similar) and the operational realities of working inside them</li>\n</ul>\n<ul>\n<li>Knowledge of applied cryptography: zero-knowledge proofs, attestation protocols, secure enclaves, TPMs, or confidential computing primitives</li>\n</ul>\n<ul>\n<li>Experience with ML infrastructure (training pipelines, inference serving, model packaging) sufficient for grounded conversations with researchers about what their workflows actually need</li>\n</ul>\n<ul>\n<li>Background building or operating security systems in environments that demand rapid iteration rather than rigid change control</li>\n</ul>\n<ul>\n<li>Prior work at a startup, on an innovation team, or in an applied research group where shipping a working v0 to answer a real question was explicitly the goal</li>\n</ul>\n<p>Location</p>\n<p>This role is based in our San Francisco office (500 Howard St). Several Labs projects involve physical secure facilities on-site, so expect to be in-office more frequently than Anthropic&#39;s standard 25% hybrid baseline.</p>\n<p>What We Offer</p>\n<ul>\n<li>Competitive salary and equity package</li>\n</ul>\n<ul>\n<li>Comprehensive health insurance and retirement plans</li>\n</ul>\n<ul>\n<li>Flexible work arrangements, including remote work options</li>\n</ul>\n<ul>\n<li>Professional development opportunities, including training and conference attendance</li>\n</ul>\n<ul>\n<li>Collaborative and dynamic work environment</li>\n</ul>\n<ul>\n<li>Access to cutting-edge technology and resources</li>\n</ul>\n<ul>\n<li>Opportunity to work on challenging and impactful projects</li>\n</ul>\n<ul>\n<li>Recognition and rewards for outstanding performance</li>\n</ul>\n<p>If you&#39;re excited about the opportunity to join our team and contribute to the development of secure and beneficial AI systems, please submit your application. We can&#39;t wait to hear from you!</p>\n<p>Deadline to Apply</p>\n<p>None, applications will be received on a rolling basis.</p>\n<p>Annual Compensation Range</p>\n<p>$405,000 - $485,000 USD</p>\n<p>Logistics</p>\n<p>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</p>\n<p>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</p>\n<p>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</p>\n<p>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with the process.</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_cd3b618b-96d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5153564008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$405,000 - $485,000 USD","x-skills-required":["Python","Go","Rust","C/C++","Cloud infrastructure","Kubernetes","Networking fundamentals","Cross-functional execution","Clear written communication","Comfort with ambiguity and iteration","Genuine curiosity about what it would actually take to defend against a nation-state-level adversary","Passion for AI safety","Real understanding of the role security plays in making frontier AI development go well"],"x-skills-preferred":["Offensive security","Red teaming","Security research","Applied cryptography","ML infrastructure","Background building or operating security systems in environments that demand rapid iteration rather than rigid change control","Prior work at a startup, on an innovation team, or in an applied research group where shipping a working v0 to answer a real question was explicitly the goal"],"datePosted":"2026-04-18T15:58:53.437Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Go, Rust, C/C++, Cloud infrastructure, Kubernetes, Networking fundamentals, Cross-functional execution, Clear written communication, Comfort with ambiguity and iteration, Genuine curiosity about what it would actually take to defend against a nation-state-level adversary, Passion for AI safety, Real understanding of the role security plays in making frontier AI development go well, Offensive security, Red teaming, Security research, Applied cryptography, ML infrastructure, Background building or operating security systems in environments that demand rapid iteration rather than rigid change control, Prior work at a startup, on an innovation team, or in an applied research group where shipping a working v0 to answer a real question was explicitly the goal","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":405000,"maxValue":485000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6e48ec86-b97"},"title":"Security Labs Engineer","description":"<p><strong>About the Role</strong></p>\n<p>Security at Anthropic is not a compliance exercise. It is a core part of how we stay safe as we build increasingly capable systems. Our Responsible Scaling Policy commits us to launching structured security R&amp;D projects: ambitious, time-boxed experiments designed to resolve high-uncertainty questions about our long-term security posture.</p>\n<p>Each project runs for roughly 6 months with defined exit criteria. Some will succeed and move toward production. Others will fail, and we&#39;ll treat that as useful signals. The questions these projects are designed to answer include:</p>\n<ul>\n<li>Can our core research workflows survive extreme isolation?</li>\n<li>Can we get cryptographic guarantees where we currently rely on trust?</li>\n<li>Can AI become our most effective security control?</li>\n</ul>\n<p>As a Security Labs Engineer, you own one or more projects end-to-end: scoping the experiment, building the infrastructure, coordinating across teams, running the pilot, documenting results, and where the experiment succeeds, helping scale it into production. This is 0-to-1 and 1-to-10 work.</p>\n<p><strong>Current Project Areas</strong></p>\n<p>The portfolio evolves based on what we learn. Current areas include:</p>\n<ul>\n<li>Designing and operating a mock high-assurance research environment: simulating what our infrastructure would look like under extreme isolation and physical security controls, with real measurement of productivity impact</li>\n<li>Exploring cryptographic verification of model integrity using techniques like zero-knowledge proofs to provide mathematical guarantees about what is running in production</li>\n<li>Assessing the feasibility of confidential computing across the full model lifecycle (note: this is an open question, not a committed roadmap item)</li>\n<li>Piloting AI-assisted security tooling including vulnerability discovery, automated patching, anomaly detection, and adaptive behavioral monitoring</li>\n<li>Prototyping API-only access regimes where even internal research workflows never touch raw model weights</li>\n</ul>\n<p>Part of your job is helping shape what comes next based on gaps uncovered in the current round.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own the end-to-end execution of a Security Labs project: refine the hypothesis, design the experiment, build the prototype, run the pilot, and write up the results</li>\n<li>Build novel security infrastructure under real time pressure: isolated clusters, hardened access controls, cryptographic verification layers, with a bias toward learning fast</li>\n<li>Where experiments succeed, drive them toward production scale. An experiment that works on one cluster but not a hundred is not a finished result.</li>\n<li>Work embedded with research teams (Pretraining, RL, Inference) to stress-test whether their core workflows can function under extreme security controls, and document precisely where they break</li>\n<li>Evaluate and integrate emerging security technologies through coordination with external vendors and research groups</li>\n<li>Turn experimental results into clear, decision-ready writeups that inform Anthropic&#39;s long-term security architecture and RSP commitments</li>\n<li>Maintain a pain-point registry and feasibility assessment for each project, feeding directly into the design of production high-assurance environments</li>\n<li>Help scope and prioritize the next wave of Labs projects based on what the current round uncovers</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>7+ years of software or security engineering experience, with a solid foundation in production systems</li>\n<li>Some of that time spent on pilots, prototypes, or applied research work where shipping a working answer to a hard question was the explicit goal</li>\n<li>Strong programming skills in Python and at least one systems language (Go, Rust, or C/C++)</li>\n<li>Hands-on experience with cloud infrastructure (AWS, GCP, or Azure), Kubernetes, and networking fundamentals sufficient to stand up and tear down isolated environments quickly</li>\n<li>A track record of cross-functional execution: you can walk into a room with ML researchers, infrastructure engineers, and vendors and leave with a shared plan</li>\n<li>Clear written communication: you know how to turn six weeks of experimentation into a two-page memo someone can act on</li>\n<li>Comfort with ambiguity and iteration, having run experiments that failed, extracted the lesson, and moved forward</li>\n<li>Genuine curiosity about what it would actually take to defend against a nation-state-level adversary</li>\n<li>Passion for AI safety and a real understanding of the role security plays in making frontier AI development go well</li>\n<li>Bachelor&#39;s degree in Computer Science, a related field, or equivalent industry experience required.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Prior experience in offensive security, red teaming, or security research, having thought adversarially about systems and knowing which threats actually matter</li>\n<li>Familiarity with airgapped or high-side environments (classified networks, ICS/SCADA, financial trading infrastructure, or similar) and the operational realities of working inside them</li>\n<li>Knowledge of applied cryptography: zero-knowledge proofs, attestation protocols, secure enclaves, TPMs, or confidential computing primitives</li>\n<li>Experience with ML infrastructure (training pipelines, inference serving, model packaging) sufficient for grounded conversations with researchers about what their workflows actually need</li>\n<li>Background building or operating security systems in environments that demand rapid iteration rather than rigid change control</li>\n<li>Prior work at a startup, on an innovation team, or in an applied research group where shipping a working v0 to answer a real question was explicitly the goal</li>\n</ul>\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_6e48ec86-b97","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5153564008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$405,000-$485,000 USD","x-skills-required":["Python","Go","Rust","C/C++","Cloud infrastructure","Kubernetes","Networking 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As a key member of our team, you will be responsible for defining technical strategy, roadmaps, and execution for major security architectural components within Elasticsearch.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Lead critical initiatives from conception to delivery, defining technical strategy, roadmaps, and execution for major security architectural components within Elasticsearch.</li>\n<li>Develop foundational security models for intricate features, optimizing security performance at massive scale within distributed systems environments.</li>\n<li>Apply cryptographic solutions to address genuine customer use cases, ensuring robust data isolation within shared infrastructure supporting disparate customers.</li>\n<li>Drive technical excellence and develop a culture of security awareness and high-performance engineering across the team, guiding senior engineers in development practices.</li>\n<li>Act as a principal voice in architectural and design discussions, guiding the security posture and development practices of Elasticsearch and the Elastic Stack, and driving long-term security strategy within the team and across the organization.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Expert Core Java and Concurrency: Deep expertise in Java internals, JVM memory management, and writing high-performance, lock-free, and thread-safe code in large OSS codebases.</li>\n<li>Authorization at Scale: Proven experience building scalable AuthZ systems, including RBAC/ABAC models, token validation, permission compilation, and cache invalidation strategies in distributed databases.</li>\n<li>Distributed Systems Fundamentals: A strong understanding of distributed systems security, including node-to-node trust, secure transport, and partition tolerance.</li>\n<li>Vision &amp; Roadmap: Collaborate with engineering and product leadership to define the technical vision and roadmap for authorization and data isolation features within the Elasticsearch security domain, translating high-level business goals into concrete, shippable architecture.</li>\n<li>IAM &amp; Cloud Security: Deep knowledge of edge identity protocols (OAuth 2.0, SAML).</li>\n<li>Cross-Team Teamwork: Act as the primary technical point of contact for security features, driving alignment and integration with search, AI, cloud, and operations teams to ensure consistent security posture across the Elastic Stack.</li>\n</ul>\n<p>Bonus Points:</p>\n<ul>\n<li>Applied Cryptography: Deep understanding of cipher suites, TLS handshakes, certificate management, and integrating crypto primitives without introducing latency.</li>\n<li>Compliance Frameworks: Hands-on experience mapping technical controls to FedRAMP (Moderate/High), FIPS, and SOC 2 standards.</li>\n<li>Data Store Internals: Experience working on the internals of a data store or search engine.</li>\n</ul>\n<p>Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is $199,700-$315,900 USD. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee&#39;s position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.</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_99a74c35-e65","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Elastic","sameAs":"https://www.elastic.co/","logo":"https://logos.yubhub.co/elastic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/elastic/jobs/7614527","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$199,700-$315,900 USD","x-skills-required":["Java","Concurrency","Authorization","Distributed Systems","Vision & Roadmap","IAM & Cloud Security","Cross-Team Teamwork"],"x-skills-preferred":["Applied Cryptography","Compliance Frameworks","Data Store Internals"],"datePosted":"2026-04-18T15:42:37.922Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Java, Concurrency, Authorization, Distributed Systems, Vision & Roadmap, IAM & Cloud Security, Cross-Team Teamwork, Applied Cryptography, Compliance Frameworks, Data Store Internals","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":199700,"maxValue":315900,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_27d6fab4-848"},"title":"Staff Product Security Engineer","description":"<p>Job Title: Staff Product Security Engineer</p>\n<p>Location: United States</p>\n<p>Department: Security</p>\n<p>Job Description:</p>\n<p>This role can be based remotely anywhere in the United States. The Product Security Team&#39;s mission is to left-shift SDLC (Security Development Lifecycle) processes for all code written in Databricks (for customer use or supporting customers internally) to reduce the likelihood of introducing new vulnerabilities in production and minimize the count and effect of externally identified vulnerabilities on Databricks Services.</p>\n<p>You will be an individual contributor on the product security team at Databricks, managing SDLC functions for features and products within Databricks. This would include, but is not limited to, security design reviews, threat models, manual code reviews, exploit writing, and exploit chain creation. You will also support IR and VRP programs when there is a vulnerability report or a product security incident.</p>\n<p>You will work with a global team, spread across various locations in the US and EMEA.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Full SDLC support for new product features being developed in ENG and non-ENG teams. This would include threat modeling, design review, manual code review, exploit writing, etc.</li>\n</ul>\n<ul>\n<li>Work with other security teams to provide support for incident response and vulnerability response as and when needed.</li>\n</ul>\n<ul>\n<li>Work with the results of SAST tools to help evaluate and identify false positives and file defects for real issues.</li>\n</ul>\n<ul>\n<li>Work on DAST tools and related automation for auto-assessment and defect filing.</li>\n</ul>\n<ul>\n<li>Maintain the automation framework and add new features as needed to support different security compliances that Databricks may want to get into – FedRamp, PCI, HIPAA, etc.</li>\n</ul>\n<ul>\n<li>Prioritize security from a risk management perspective, rather than an absolute textbook version.</li>\n</ul>\n<ul>\n<li>Help develop and implement security processes to improve the overall productivity of the product security organization and the SDLC process in general</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>3-10 years&#39; experience with the threat modeling process and ability to find design problems based on a block diagram of data flow.</li>\n</ul>\n<ul>\n<li>Solid understanding on at least two of the following domains: web security, cloud security, systems security, and applied cryptography.</li>\n</ul>\n<ul>\n<li>Proficient with one or more of programming languages (Python/Java/Scala/JavaScript) and ability to read code to identify security defects.</li>\n</ul>\n<ul>\n<li>Strong skills on scripting and automation on exploits.</li>\n</ul>\n<ul>\n<li>Fuzzing skills are good to have.</li>\n</ul>\n<ul>\n<li>Exploit writing skills are a positive and greatly required.</li>\n</ul>\n<p>Pay Range Transparency:</p>\n<p>Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.</p>\n<p>For more information regarding which range your location is in visit our page here.</p>\n<p>Zone 1 Pay Range: $190,000 - $261,250 USD</p>\n<p>Zone 2 Pay Range: $171,000 - $235,200 USD</p>\n<p>Zone 3 Pay Range: $161,500 - $222,100 USD</p>\n<p>Zone 4 Pay Range: $152,000 - $209,000 USD</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_27d6fab4-848","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/7882009002","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$190,000 - $261,250 USD","x-skills-required":["threat modeling","security design reviews","manual code reviews","exploit writing","exploit chain creation","incident response","vulnerability response","SAST tools","DAST tools","automation","FedRamp","PCI","HIPAA","risk management","security processes","productivity","SDLC process","web security","cloud security","systems security","applied cryptography","programming languages","scripting","fuzzing"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:42:34.724Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"threat modeling, security design reviews, manual code reviews, exploit writing, exploit chain creation, incident response, vulnerability response, SAST tools, DAST tools, automation, FedRamp, PCI, HIPAA, risk management, security processes, productivity, SDLC process, web security, cloud security, systems security, applied cryptography, programming languages, scripting, fuzzing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":261250,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_819ff645-ad6"},"title":"Member of Technical Staff, Banking Solutions (Backend Engineer)","description":"<p>At Anchorage Digital, we are building the world&#39;s most advanced digital asset platform for institutions to participate in crypto. 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