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In this role, you&#39;ll architect and implement data pipelines that process massive amounts of security telemetry, develop ML-powered detection systems, and create innovative solutions that leverage Claude to transform security operations.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Build AI-powered platform responsible for all aspects of D&amp;R capabilities from detection development to incident response</li>\n<li>Design and implement scalable data pipelines for ingesting and processing security telemetry across our rapidly growing infrastructure</li>\n<li>Architect solutions for storing and efficiently querying large volumes of security-relevant data</li>\n<li>Create rapid prototypes and proof-of-concepts for new security tooling and analytics capabilities</li>\n<li>Work closely with security and infrastructure teams to understand requirements and deliver solutions</li>\n<li>Mentor engineers and contribute to hiring and growth of the Security team</li>\n<li>Participate in on-call shifts</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>7+ years of experience in software engineering with a focus on security, infrastructure and/or data pipelines</li>\n<li>Track record of building and maintaining internal developer tools or security platforms</li>\n<li>Strong understanding of data processing pipelines and experience working with large-scale logging systems</li>\n</ul>\n<p><strong>Strong candidates may also have experience with:</strong></p>\n<ul>\n<li>Experience building security tooling from the ground up</li>\n<li>Background in implementing security monitoring solutions (SIEM, log aggregation, EDR)</li>\n<li>Background in detection engineering or security operations</li>\n<li>SOAR platform/automation development</li>\n<li>Data lake / Database architecture</li>\n<li>API design and internal platform creation</li>\n<li>Track record of applying ML/AI to security problems</li>\n<li>Experience scaling security operations in a high-growth environment</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n<li>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.</li>\n<li>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 this.</li>\n</ul>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. 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Acting as a trusted technical advisor, you will work with enterprises to design, deliver, and scale architectures that improve application performance, infrastructure visibility, and end-user experience.</p>\n<p>You will translate business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack. You will lead end-to-end delivery of customer engagements , from discovery and design through implementation, enablement, and optimisation. You will partner with customers to architect, deploy, and operationalise Elastic solutions that drive measurable value and adoption.</p>\n<p>You will provide technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles. You will collaborate cross-functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement. 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Acting as a trusted technical advisor, you will work with enterprises to design, deliver, and scale architectures that improve application performance, infrastructure visibility, and end-user experience.</p>\n<p>You&#39;ll collaborate with Elastic’s Professional Services, Engineering, Product, and Sales teams to accelerate adoption of the Elastic Observability platform, ensuring customers maximise the value of their data while achieving business outcomes. This is a highly impactful role, with opportunities to guide strategy, lead complex implementations, and mentor both customers and teammates.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Translating business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack.</li>\n<li>Leading end-to-end delivery of customer engagements , from discovery and design through implementation, enablement, and optimisation.</li>\n<li>Partnering with customers to architect, deploy, and operationalise Elastic solutions that drive measurable value and adoption.</li>\n<li>Providing technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles.</li>\n<li>Collaborating cross-functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement.</li>\n<li>Capturing and sharing best practices, lessons learned, and solution patterns across the Elastic Services community.</li>\n<li>Contributing to internal enablement, mentoring, and a culture of continuous learning and collaboration</li>\n</ul>\n<p>Required skills include:</p>\n<ul>\n<li>5+ years as a consultant, architect, or engineer with expertise in observability, monitoring, or related domains.</li>\n<li>Expertise in the Telecommunications domain, especially with Mobile networks and devices.</li>\n<li>Strong experience with time-series data ingestion and processing, including pipelines with Elastic Agents, Beats, and Logstash.</li>\n<li>Knowledge of messaging queues (Kafka, Redis) and ingestion optimisation strategies.</li>\n<li>Understanding of observability concepts like distributed tracing, metrics pipelines, log aggregation, anomaly detection, SLOs/SLIs.</li>\n<li>Experience with one or more: Kubernetes, cloud platforms (AWS, Azure, GCP), or infrastructure as code.</li>\n<li>Familiarity with Elastic Common Schema (ECS), data parsing, and normalisation.</li>\n<li>Proven experience deploying Elastic Observability (APM, UEM, logs, metrics, infra, network monitoring) or similar solutions at enterprise scale.</li>\n<li>Hands-on expertise in distributed systems and large-scale infrastructure.</li>\n<li>Ability to design and build dashboards, visualisations, and alerting thresholds that drive actionable insights.</li>\n<li>Experience with Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, VMs, Lucene.</li>\n<li>Strong communication and presentation skills, with experience engaging directly with customers.</li>\n<li>Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field, or equivalent experience.</li>\n<li>Comfortable working in highly distributed teams, both remote and on-site when needed.</li>\n<li>May require significant travel to customer sites to support engagements and solution implementations; candidates should be comfortable with varying levels of travel based on business needs.</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_396fe53d-121","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/7440232","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["observability","monitoring","Elastic Stack","time-series data ingestion","Elastic Agents","Beats","Logstash","messaging queues","Kafka","Redis","distributed tracing","metrics pipelines","log aggregation","anomaly detection","SLOs/SLIs","Kubernetes","cloud platforms","infrastructure as code","Elastic Common Schema","data parsing","normalisation","databases","Docker","VMs","Lucene"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:40:26.428Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tokyo, Japan"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"observability, monitoring, Elastic Stack, time-series data ingestion, Elastic Agents, Beats, Logstash, messaging queues, Kafka, Redis, distributed tracing, metrics pipelines, log aggregation, anomaly detection, SLOs/SLIs, Kubernetes, cloud platforms, infrastructure as code, Elastic Common Schema, data parsing, normalisation, databases, Docker, VMs, Lucene"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8af6c2b6-03c"},"title":"Member of Technical Staff, Domain (Backend Engineer)","description":"<p>At Anchorage Digital, we are building the world’s most advanced digital asset platform for institutions to participate in crypto. As a Member of Technical Staff on the Domain Engineering team, you are responsible for ensuring a robust technology stack, enabling our company to build scalable, efficient, and maintainable products. Allowing our product teams to focus on developing customer-focused features.</p>\n<p>You are a strong individual contributor and have the ability to significantly contribute to and execute complex engineering projects, enabled with appropriate coding and testing. 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In this role, you&#39;ll architect and implement data pipelines that process massive amounts of security telemetry, develop ML-powered detection systems, and create innovative solutions that leverage Claude to transform security operations.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build an AI-powered platform responsible for all aspects of detection and response capabilities, from detection development to incident response</li>\n<li>Design and implement scalable data pipelines for ingesting and processing security telemetry across our rapidly growing infrastructure</li>\n<li>Architect solutions for storing and efficiently querying large volumes of security-relevant data</li>\n<li>Create rapid prototypes and proof-of-concepts for new security tooling and analytics capabilities</li>\n<li>Work closely with security and infrastructure teams to understand requirements and deliver solutions</li>\n<li>Mentor engineers and contribute to hiring and growth of the Security team</li>\n<li>Participate in on-call rotations</li>\n</ul>\n<p><strong>You may be a good fit if you</strong></p>\n<ul>\n<li>7+ years of experience in software engineering with a focus on security, infrastructure, or data pipelines</li>\n<li>Track record of building and maintaining internal developer tools or security platforms</li>\n<li>Strong understanding of data processing pipelines and experience working with large-scale logging systems</li>\n<li>Experience with test-driven software development or CI/CD (a plus for direct experience with detection-as-code workflows)</li>\n<li>Experience with infrastructure-as-code (Terraform, CloudFormation)</li>\n<li>Experience with query optimization for large datasets</li>\n<li>Experience building stable and scalable services on cloud infrastructure and serverless architectures</li>\n<li>Ability to write maintainable and secure code in Python</li>\n<li>Experience working with security teams and translating requirements into technical solutions</li>\n<li>Ability to lead technical projects with minimal guidance</li>\n<li>Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship</li>\n<li>Ability to lead cross-functional security initiatives and navigate complex organizational dynamics</li>\n<li>Strong communication skills with the ability to translate technical concepts effectively across all organizational levels</li>\n<li>Demonstrated success in bringing clarity and ownership to ambiguous technical problems</li>\n<li>Strong systems thinking with ability to identify and mitigate risks in complex environments</li>\n</ul>\n<p><strong>Strong candidates may also have experience with</strong></p>\n<ul>\n<li>Experience building security tooling from the ground up</li>\n<li>Background in implementing security monitoring solutions (SIEM, log aggregation, EDR)</li>\n<li>Background in detection engineering or security operations</li>\n<li>Experience with SOAR platform or automation development</li>\n<li>Experience with data lake or database architecture</li>\n<li>Experience with API design and internal platform creation</li>\n<li>Track record of applying ML/AI to security problems</li>\n<li>Experience scaling security operations in a high-growth environment</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.</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 money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. 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