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We’re building next-generation observability systems,high-throughput ingest pipelines, cost-efficient columnar storage, unified query layers across signals, and agentic diagnostic tools,to ensure that engineers can detect, diagnose, and resolve issues in minutes rather than hours, even as the systems they operate become exponentially more complex.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic’s multi-cluster infrastructure</li>\n</ul>\n<ul>\n<li>Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organisational growth</li>\n</ul>\n<ul>\n<li>Build instrumentation libraries, SDKs, and integrations that make it easy for engineering teams to emit high-quality telemetry from their services</li>\n</ul>\n<ul>\n<li>Drive alerting and SLO infrastructure that enables teams to define, monitor, and respond to reliability targets with minimal noise</li>\n</ul>\n<ul>\n<li>Reduce mean time to detection and resolution by building cross-signal correlation, unified query interfaces, and AI-assisted diagnostic tooling</li>\n</ul>\n<ul>\n<li>Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organisation</li>\n</ul>\n<p><strong>You May Be a Good Fit If You</strong></p>\n<ul>\n<li>Have 10+ years of relevant industry experience building and operating large-scale observability or monitoring infrastructure</li>\n</ul>\n<ul>\n<li>Have deep experience with at least one observability signal area (metrics, logging, tracing, or error analytics) and familiarity with the others</li>\n</ul>\n<ul>\n<li>Understand high-throughput data pipelines, columnar storage engines, and the tradeoffs involved in ingesting and querying telemetry data at scale</li>\n</ul>\n<ul>\n<li>Have experience operating or building on top of observability platforms such as Prometheus, Grafana, ClickHouse, OpenTelemetry, or similar systems</li>\n</ul>\n<ul>\n<li>Have strong proficiency in at least one of Python, Rust, or Go</li>\n</ul>\n<ul>\n<li>Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities</li>\n</ul>\n<ul>\n<li>Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges</li>\n</ul>\n<p><strong>Strong Candidates May Also Have</strong></p>\n<ul>\n<li>Experience operating metrics systems at very high cardinality (hundreds of millions of active time series or more)</li>\n</ul>\n<ul>\n<li>Experience with log storage migrations or operating columnar databases (ClickHouse, BigQuery, or similar) for analytics workloads</li>\n</ul>\n<ul>\n<li>Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies</li>\n</ul>\n<ul>\n<li>Experience building or operating alerting platforms, on-call tooling, or SLO frameworks at scale</li>\n</ul>\n<ul>\n<li>Experience with Kubernetes-native monitoring, eBPF-based observability, or continuous profiling</li>\n</ul>\n<ul>\n<li>Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting</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</ul>\n<ul>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n</ul>\n<ul>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n</ul>\n<ul>\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</ul>\n<ul>\n<li>Visa sponsorship: We do sponsor visas! However, we aren’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. We’re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p><strong>Come work with us!</strong></p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. 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We&#39;re building next-generation observability systems,high-throughput ingest pipelines, cost-efficient columnar storage, unified query layers across signals, and agentic diagnostic tools,to ensure that engineers can detect, diagnose, and resolve issues in minutes rather than hours, even as the systems they operate become exponentially more complex.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic&#39;s multi-cluster infrastructure</li>\n<li>Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organisational growth</li>\n<li>Build instrumentation libraries, SDKs, and integrations that make it easy for engineering teams to emit high-quality telemetry from their services</li>\n<li>Drive alerting and SLO infrastructure that enables teams to define, monitor, and respond to 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DevOps","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_3de2c475-9ca"},"title":"Software Engineer, Database Systems","description":"<p><strong>Software Engineer, Database Systems</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Applied AI</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$230K – $385K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the Team:</strong></p>\n<p>The Database Systems team specializes in high-performance distributed databases. Our team built Rockset, the real-time search, analytics, and vector database that powers all vector search and retrieval augmented generation (RAG) at OpenAI. In addition to retrieval, as an online database, Rockset powers core functionality across all of OpenAI&#39;s product lines and many critical internal use cases.</p>\n<p><strong>About the Role:</strong></p>\n<p>We are looking for engineers passionate about distributed systems, close-to-the-metal performance optimization (our core engine is written in C++), and building scalable database infrastructure from the ground up. As an engineer on the Database Systems team, you&#39;ll contribute to the core database engine, driving improvements across ingestion, query execution, indexing, and storage. You&#39;ll partner with teams across OpenAI to unlock new product capabilities and help scale online database reliability and throughput as usage grows by orders of magnitude.</p>\n<p><strong>In this role you will:</strong></p>\n<ul>\n<li>Design, build, and operate high-performance distributed systems</li>\n</ul>\n<ul>\n<li>Identify and resolve performance bottlenecks to scale infrastructure to the next order of magnitude</li>\n</ul>\n<ul>\n<li>Define long-term technical direction and guide system evolution</li>\n</ul>\n<ul>\n<li>Collaborate with product, engineering, and research teams to deliver scalable and reliable infrastructure</li>\n</ul>\n<ul>\n<li>Dig deep into complex production issues across the stack</li>\n</ul>\n<ul>\n<li>Contribute to incident response, postmortems, and best practices for system reliability</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have significant experience building, scaling, and optimizing distributed systems at scale</li>\n</ul>\n<ul>\n<li>Are curious about database internals, storage engines, or low-latency query systems</li>\n</ul>\n<ul>\n<li>Enjoy debugging challenging performance issues in complex, high-throughput systems</li>\n</ul>\n<ul>\n<li>Have experience operating production clusters at scale (e.g., Kubernetes or other orchestration systems)</li>\n</ul>\n<ul>\n<li>Think rigorously about scalability, correctness, and reliability</li>\n</ul>\n<ul>\n<li>Thrive in fast-paced environments with high autonomy and impact</li>\n</ul>\n<p><strong>Qualifications:</strong></p>\n<ul>\n<li>4+ years of relevant industry experience, with 2+ years leading large scale, complex projects or teams as an engineer or tech lead</li>\n</ul>\n<ul>\n<li>Experience with distributed systems at scale, with a strong focus on performance, reliability, and scalability</li>\n</ul>\n<ul>\n<li>Strong communication skills and ability to collaborate across highly technical and cross-functional teams</li>\n</ul>\n<ul>\n<li>Proficiency in a systems programming language such as C++ (our core engine is written in C++) is strongly preferred</li>\n</ul>\n<ul>\n<li>Fluency in cloud environments (AWS, GCP, Azure) and IaC tools (Terraform or similar)</li>\n</ul>\n<ul>\n<li>Experience with Linux systems, CI/CD pipelines, and modern observability stacks (Prometheus, Grafana, etc.)</li>\n</ul>\n<ul>\n<li>Domain knowledge in areas such as databases, data systems, storage engines, indexing, and query processing is a plus but not required</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</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_3de2c475-9ca","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/2b5e8e15-7952-4170-a927-2ad68e318ed6","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$230K – $385K • Offers Equity","x-skills-required":["distributed systems","C++","cloud environments","IaC tools","Linux systems","CI/CD pipelines","modern observability stacks"],"x-skills-preferred":["database internals","storage engines","low-latency query systems","Kubernetes","orchestration systems"],"datePosted":"2026-03-06T18:24:14.702Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"distributed systems, C++, cloud environments, IaC tools, Linux systems, CI/CD pipelines, modern observability stacks, database internals, storage engines, low-latency query systems, Kubernetes, orchestration systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":385000,"unitText":"YEAR"}}}]}