{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/sensitive-data"},"x-facet":{"type":"skill","slug":"sensitive-data","display":"Sensitive Data","count":3},"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_c73333c8-f80"},"title":"Software Engineer, Safeguards Foundations (Internal Tooling)","description":"<p>We are seeking a software engineer to join our Safeguards Foundations team, which builds the platforms, infrastructure, and internal tools that support the development of beneficial AI systems. As a software engineer on this team, you will design, build, and maintain internal review and enforcement tooling used by Safeguards analysts, including case queues, content review surfaces, decision/audit logging, and account-actioning workflows. You will work closely with Trust &amp; Safety operations, policy, and detection-engineering teams to turn messy operational workflows into well-designed, durable software.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, build, and maintain internal review and enforcement tooling used by Safeguards analysts</li>\n<li>Understand user workflows and establish tooling for well processes that may be distributed across a number of tools and UIs</li>\n<li>Develop the &#39;base layer&#39; of reusable APIs, data storage, and backend services that let new review workflows be stood up quickly and safely</li>\n<li>Partner with operations and policy teams to understand reviewer pain points, then translate them into clear product improvements that reduce handling time and decision error</li>\n<li>Integrate tooling with upstream detection systems and downstream enforcement infrastructure so that flagged behaviour flows cleanly from signal → human review → action</li>\n<li>Build in the guardrails that sensitive internal tools require: granular permissions, audit trails, data-access controls, and reviewer wellbeing features (e.g. content blurring, exposure limits)</li>\n<li>Instrument the tools you ship , surfacing metrics on queue health, reviewer throughput, and decision quality so the team can see what&#39;s working</li>\n<li>Contribute to the Foundations team&#39;s shared platform and on-call responsibilities</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>4+ years of experience as a software engineer, with meaningful time spent building internal tools, operations platforms, or back-office products</li>\n<li>Comfortable using agentic coding tools (e.g. Claude Code) as a core part of your workflow, and can direct them to ship well-tested, production-quality software at a high cadence without lowering the bar</li>\n<li>Take a product-minded approach to internal users: you work with the people using your tools, watch where they struggle, and fix it</li>\n<li>Results-oriented, with a bias towards flexibility and impact</li>\n<li>Pick up slack, even if it goes outside your job description</li>\n<li>Communicate clearly with non-engineering stakeholders and can explain technical trade-offs to operations and policy partners</li>\n<li>Care about the societal impacts of your work and want to apply your engineering skills directly to AI safety</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience building tooling in a trust &amp; safety, content moderation, fraud, integrity, or risk-operations setting</li>\n<li>Experience designing case-management or workflow systems (queues, SLAs, escalation paths, audit logs)</li>\n<li>Experience working with sensitive data and understanding the privacy, access-control, and reviewer-wellbeing considerations that come with it</li>\n<li>Experience with GCP/AWS, Postgres/BigQuery, and CI/CD in a production environment</li>\n<li>Experience using LLMs as a building block inside operational tools (e.g. assisted triage, summarisation, or classification in the review loop)</li>\n</ul>\n<p>Representative projects:</p>\n<ul>\n<li>Rebuilding the analyst review queue so cases are routed by severity and skill, with full decision history and one-click escalation</li>\n<li>Shipping a unified account-investigation view that pulls signals from multiple detection systems into a single, permissioned surface</li>\n<li>Adding content-obfuscation and exposure-tracking features to protect reviewers working with harmful material</li>\n<li>Building an internal labelling tool that feeds high-quality ground truth back to the detection and research teams</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_c73333c8-f80","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/5191433008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£255,000-£325,000 GBP","x-skills-required":["agentic coding tools","APIs","backend services","case queues","content review surfaces","decision/audit logging","account-actioning workflows","CI/CD","GCP/AWS","Postgres/BigQuery","LLMs","sensitive data","privacy","access-control","reviewer-wellbeing"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:14:27.217Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"agentic coding tools, APIs, backend services, case queues, content review surfaces, decision/audit logging, account-actioning workflows, CI/CD, GCP/AWS, Postgres/BigQuery, LLMs, sensitive data, privacy, access-control, reviewer-wellbeing","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":255000,"maxValue":325000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d6782038-937"},"title":"Staff Software Engineer - Backend","description":"<p>As a staff software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.</p>\n<p>The impact you&#39;ll have is significant, as our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and machine learning infrastructure.</p>\n<p>For example, you might work on challenges such as:</p>\n<ul>\n<li>Supporting Databricks&#39; growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.</li>\n</ul>\n<ul>\n<li>Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.</li>\n</ul>\n<ul>\n<li>Developing tools and processes that drive engineering efficiency at Databricks.</li>\n</ul>\n<p>We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks.</p>\n<p>Our current focus is on optimizing the Rust development experience across the organization.</p>\n<p>To be successful in this role, you will need:</p>\n<ul>\n<li>8+ years of professional software development experience.</li>\n</ul>\n<ul>\n<li>A bachelor&#39;s degree or higher in Computer Science, a related field, or equivalent experience.</li>\n</ul>\n<ul>\n<li>Proficiency in one or more backend languages such as Java, Scala, or Go.</li>\n</ul>\n<ul>\n<li>Hands-on experience in developing and operating large-scale, critical distributed backend systems.</li>\n</ul>\n<ul>\n<li>Demonstrated leadership throughout all project phases, from inception and design to implementation and operations, with a strong ability to drive architectural decisions and guide teams through complex challenges.</li>\n</ul>\n<ul>\n<li>Experience mentoring engineers, influencing best practices, and fostering a collaborative engineering environment.</li>\n</ul>\n<ul>\n<li>Self-driven and passionate with a strong focus on delivering impact through team collaboration.</li>\n</ul>\n<ul>\n<li>Strong written and verbal communication skills to drive alignment across teams, and contribute to both technical documentation and strategic decisions.</li>\n</ul>\n<ul>\n<li>Experience with infrastructure systems, security, and sensitive data, as well as familiarity with Kubernetes or cloud platforms like AWS, Azure, or GCP.</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_d6782038-937","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/7642799002","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Java","Scala","Go","backend languages","large-scale distributed backend systems","leadership","mentoring","best practices","collaborative engineering environment","infrastructure systems","security","sensitive data","Kubernetes","cloud platforms"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:42:20.073Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Aarhus, Denmark"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Java, Scala, Go, backend languages, large-scale distributed backend systems, leadership, mentoring, best practices, collaborative engineering environment, infrastructure systems, security, sensitive data, Kubernetes, cloud platforms"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5ef0c826-856"},"title":"Engineering Manager, Safeguards Data Infrastructure","description":"<p><strong>About the role</strong></p>\n<p>Anthropic&#39;s Safeguards team is responsible for the systems that allow us to deploy powerful AI models responsibly — and the data infrastructure underneath those systems is foundational to getting that right. The Safeguards Data Infrastructure team owns the offline data stack that underpins our safeguards work: the storage layer for sensitive user data, the tooling built on top of it, and the interfaces that let the rest of the Safeguards organisation access that data safely and ergonomically.</p>\n<p>As Engineering Manager of this team, you&#39;ll be responsible for ensuring full portability of our safeguards data stack across an expanding set of deployment environments, building privacy-preserving data interfaces that enable ML and training workflows, and driving compliance with data regulations including HIPAA. This is a role at the intersection of infrastructure engineering, data privacy, and enterprise product requirements — and it sits at a critical juncture as Anthropic scales into new cloud environments and geographies</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Lead and grow a team of engineers delivering the data infrastructure and tooling that powers Anthropic&#39;s safeguards capabilities</li>\n<li>Own the strategy and execution for porting the safeguards offline data stack — including PII storage and tooling — across new cloud and deployment environments as Anthropic expands</li>\n<li>Build and maintain privacy-safe data APIs and interfaces that enable ML and training workflows while respecting data retention and access constraints</li>\n<li>Drive tooling and architecture decisions that maximise data retention within the bounds of our privacy and compliance requirements</li>\n<li>Manage privacy incident response processes and partner with compliance teams on regulatory requirements (e.g. HIPAA, EU privacy regulations)</li>\n<li>Collaborate closely with enterprise customers and product teams on zero data retention offerings, working balancing safety needs with robust enterprise data contracts</li>\n<li>Independently own and drive multiple workstreams, including planning, execution, and cross-team coordination</li>\n<li>Coach, mentor, and support the career development of your direct reports, helping them set and achieve their professional goals</li>\n<li>Partner with recruiting to attract, hire, and retain strong engineering talent</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have 4+ years of front-line engineering management experience</li>\n<li>Have a track record of leading teams that build and operate data infrastructure at scale</li>\n<li>Have hands-on software engineering experience as an individual contributor prior to moving into management</li>\n<li>Have a strong understanding of data privacy principles, PII handling, and compliance frameworks</li>\n<li>Are comfortable driving technical decisions in an ambiguous, fast-moving environment with competing priorities</li>\n<li>Have experience working cross-functionally across infrastructure, product, and compliance or security teams</li>\n<li>Are clear and persuasive communicators, both in writing and in person</li>\n</ul>\n<p><strong>Strong candidates may also:</strong></p>\n<ul>\n<li>Have experience with multi-cloud or multi-region data portability, particularly in regulated environments</li>\n<li>Have built privacy-preserving data pipelines or interfaces for ML workloads</li>\n<li>Have experience with enterprise data contracts or zero data retention architectures</li>\n<li>Have explored novel approaches to data processing under strict access constraints, such as in-memory storage and compute for sensitive data</li>\n<li>Have a passion for building diverse and inclusive teams</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> 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><strong>Visa sponsorship:</strong> 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 this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.</p>\n<p><strong>Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for</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_5ef0c826-856","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5103078008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$405,000 - $485,000USD\n£325,000 - £390,000GBP","x-skills-required":["data infrastructure","data privacy","compliance frameworks","software engineering","team management","cross-functional collaboration","communication","data portability","multi-cloud","multi-region","regulated environments","privacy-preserving data pipelines","ML workloads","enterprise data contracts","zero data retention architectures"],"x-skills-preferred":["in-memory storage","compute for sensitive data","novel approaches to data processing","diverse and inclusive teams"],"datePosted":"2026-03-08T13:42:50.694Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK; New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data infrastructure, data privacy, compliance frameworks, software engineering, team management, cross-functional collaboration, communication, data portability, multi-cloud, multi-region, regulated environments, privacy-preserving data pipelines, ML workloads, enterprise data contracts, zero data retention architectures, in-memory storage, compute for sensitive data, novel approaches to data processing, diverse and inclusive teams","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":325000,"maxValue":485000,"unitText":"YEAR"}}}]}