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This is a hands-on role where whatever you work on touches all of dbt Cloud and all of our customers at the same time.</p>\n<p>In this role, you can expect to:</p>\n<ul>\n<li>Join a senior, distributed team: Become part of a closely-knit group of senior engineers at the intersection of application and infrastructure, working asynchronously with ongoing communication in public Slack channels.</li>\n</ul>\n<ul>\n<li>Architect and build platform infrastructure: Design, build, and operate foundational components of our multi-cell platform, including service routing, cloud networking, and the control plane for managing account lifecycles.</li>\n</ul>\n<ul>\n<li>Drive seamless migrations: Develop and automate the tooling to migrate customer accounts from legacy environments to the new multi-cell architecture at scale.</li>\n</ul>\n<ul>\n<li>Develop scalable backend services: Write robust, high-quality backend services and infrastructure code, primarily in Go and Python, with opportunities to work with Rust.</li>\n</ul>\n<ul>\n<li>Tackle cloud networking challenges: Collaborate on network architecture design, including VPC management, load balancing, DNS, PrivateLink, and service mesh configurations to support single-tenant and multi-tenant deployments.</li>\n</ul>\n<ul>\n<li>Automate for scale: Design and implement automation using tools like Argo Workflows, Kubernetes, and Terraform to enhance the reliability, efficiency, and scalability of our platform.</li>\n</ul>\n<ul>\n<li>Collaborate and mentor: Work closely with product engineering teams, security, and customer support to unblock feature conformance, define technical direction, and mentor other engineers.</li>\n</ul>\n<ul>\n<li>Own and troubleshoot: Take strong ownership of distributed systems, troubleshoot complex issues across application and network layers, and participate in an on-call rotation to maintain high availability.</li>\n</ul>\n<p>You are a good fit if you have:</p>\n<ul>\n<li>Worked asynchronously as part of a fully-remote, distributed team</li>\n</ul>\n<ul>\n<li>Are an experienced backend or platform engineer, proficient in languages like Go or Python, with a history of building large-scale distributed systems.</li>\n</ul>\n<ul>\n<li>Have deep expertise in modern cloud infrastructure, including extensive hands-on experience with a major cloud provider (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform).</li>\n</ul>\n<ul>\n<li>Thrive at the intersection of product and infrastructure, with a passion for building internal platforms and automation that enhance developer productivity and platform reliability.</li>\n</ul>\n<ul>\n<li>Bring familiarity with cloud networking concepts, including load balancing, DNS, VPCs, proxies, and service mesh technologies , or have a strong desire to learn and grow in this domain.</li>\n</ul>\n<ul>\n<li>Take strong ownership of your work from end-to-end, demonstrating a systematic, customer-focused approach to problem-solving and a track record of contributing to complex technical projects.</li>\n</ul>\n<ul>\n<li>Are a proactive and collaborative communicator, skilled at articulating technical concepts to both technical and non-technical partners and working effectively across team boundaries.</li>\n</ul>\n<p>You&#39;ll have an edge if you have:</p>\n<ul>\n<li>Direct experience with cell-based or multi-tenant architectures, particularly with building tooling for large-scale account migrations.</li>\n</ul>\n<ul>\n<li>A proven track record of building internal developer platforms or self-service infrastructure that empowers other engineers.</li>\n</ul>\n<ul>\n<li>Hands-on experience with cloud networking tools such as nginx, Istio, Envoy, AWS Transit Gateway, PrivateLink, or Kubernetes CNI/service mesh implementations.</li>\n</ul>\n<ul>\n<li>Deep expertise in multi-cloud strategies, including tools for cross-cloud management and cost optimization.</li>\n</ul>\n<ul>\n<li>Advanced proficiency with our core technologies, including extensive professional experience with both Go and Python, and an interest in or exposure to Rust.</li>\n</ul>\n<ul>\n<li>Advanced industry certifications (e.g., AWS Certified Solutions Architect – Professional, AWS Advanced Networking Specialty, Certified Kubernetes Administrator) or contributions to open-source cloud-native projects.</li>\n</ul>\n<p>Qualifications</p>\n<ul>\n<li>5+ years of professional software engineering experience, particularly in platform, infrastructure, or backend roles supporting SaaS applications.</li>\n</ul>\n<ul>\n<li>A Bachelor&#39;s degree in Computer Science or a related technical field is preferred, though equivalent practical experience or bootcamp completion with relevant work history will be considered.</li>\n</ul>\n<p><strong>Compensation &amp; 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Our Talent Acquisition Team can answer questions around dbt Labs&#39; total rewards during your interview process.</p>\n<p>In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York Metro, San Francisco, DC Metro, Seattle, Austin), an alternate range may apply, as specified below.</p>\n<ul>\n<li>The typical starting salary range for this role is: $147,000 - $178,000 USD</li>\n</ul>\n<ul>\n<li>The typical starting salary range for this role in the select locations listed is: $163,000 - $198,000 US</li>\n</ul>\n<p>Equity Stake Benefits</p>\n<ul>\n<li>dbt Labs offers: unlimited vacation, 401k w/3% guaranteed contribution, excellent healthcare, paid parental leave, wellness stipend, home office stipend, and more!</li>\n</ul>\n<ul>\n<li>Equity or comparable benefits may be offered depending on the legal limitations</li>\n</ul>\n<p><strong>Our Hiring Process (All Video Interviews)</strong></p>\n<ul>\n<li>Interview with a Talent Acquisition Partner (30 Mins)</li>\n</ul>\n<ul>\n<li>Technical Interview with Hiring Manager (60 Mins)</li>\n</ul>\n<ul>\n<li>Team Interviews with Cross Collaborators (4 rounds, 45 Mins each)</li>\n</ul>\n<ul>\n<li>Final Values Interview (30 Mins)</li>\n</ul>\n<p>dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply,we value potential just as much as a perfect resume. Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? 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You will design and operate highly available, multi-region systems, ensuring our services meet strict uptime and latency targets.</p>\n<p>Day-to-day, you’ll work on scaling infrastructure, improving deployment pipelines, and hardening our security posture. You’ll play a key role in evolving our DevSecOps practices while partnering closely with engineering teams to ensure services are built for reliability from day one.</p>\n<p>We operate with production-grade discipline, supporting mission-critical services with stringent uptime requirements and a focus on automation, observability, and resilience.</p>\n<p>The Platform &amp; Infrastructure Engineering team in the Data Infrastructure organization is responsible for the reliability, scalability, and security of the company’s data platform. 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If some of this describes you, we’d love to talk.</p>\n<ul>\n<li>You love building highly reliable systems that operate at scale</li>\n<li>You’re curious about how to continuously improve system resilience, security, and operations</li>\n<li>You’re an expert in diagnosing and solving complex distributed systems problems</li>\n</ul>\n<p>Why CoreWeave?</p>\n<p>At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning.</p>\n<p>Our team cares deeply about how we build our product and how we work together, which is represented through our core values:</p>\n<ul>\n<li>Be Curious at Your Core</li>\n<li>Act Like an Owner</li>\n<li>Empower Employees</li>\n<li>Deliver Best-in-Class Client Experiences</li>\n<li>Achieve More Together</li>\n</ul>\n<p>We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems.</p>\n<p>As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too.</p>\n<p>Come join us!</p>\n<p>The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation.</p>\n<p>In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).</p>\n<p>What We Offer</p>\n<p>The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.</p>\n<p>In addition to a competitive salary, we offer a variety of benefits to support your needs, including:</p>\n<ul>\n<li>Medical, dental, and vision insurance</li>\n<li>100% paid for by CoreWeave</li>\n<li>Company-paid Life Insurance</li>\n<li>Voluntary supplemental life insurance</li>\n<li>Short and long-term disability insurance</li>\n<li>Flexible Spending Account</li>\n<li>Health Savings Account</li>\n<li>Tuition Reimbursement</li>\n<li>Ability to Participate in Employee Stock Purchase Program (ESPP)</li>\n<li>Mental Wellness Benefits through Spring Health</li>\n<li>Family-Forming support provided by Carrot</li>\n<li>Paid Parental Leave</li>\n<li>Flexible, full-service childcare support with Kinside</li>\n<li>401(k) with a generous employer match</li>\n<li>Flexible PTO</li>\n<li>Catered lunch each day in our office and data center locations</li>\n<li>A casual work environment</li>\n<li>A work culture focused on innovative disruption</li>\n</ul>\n<p>Our Workplace</p>\n<p>While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets.</p>\n<p>New hires will be invited to attend onboarding at one of our hubs within their first month.</p>\n<p>Teams also gather quarterly to support collaboration.</p>\n<p>California Consumer Privacy Act - California applicants only</p>\n<p>CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace.</p>\n<p>All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.</p>\n<p>As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants 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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 team’s mission is to accelerate the secure evolution of agentic AI systems at OpenAI. To achieve this, the team designs, implements, and continuously refines security policies, frameworks, and controls that defend OpenAI’s most critical assets—including the user and customer data embedded within them—against the unique risks introduced by agentic AI.</p>\n<p><strong>About the Role</strong></p>\n<p><strong>As a Security Engineer on the Agent Security Team</strong>, you will be at the forefront of securing OpenAI’s cutting-edge agentic AI systems. Your role will involve designing and implementing robust security frameworks, policies, and controls to safeguard OpenAI’s critical assets and ensure the safe deployment of agentic systems. You will develop comprehensive threat models, partner tightly with our Agent Infrastructure group to fortify the platforms that power OpenAI’s most advanced agentic systems, and lead efforts to enhance safety monitoring pipelines at scale.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Architecting security controls for agentic AI – design, implement, and iterate on identity, network, and runtime-level defenses (e.g., sandboxing, policy enforcement) that integrate directly with the Agent Infrastructure stack.</li>\n</ul>\n<ul>\n<li>Building production-grade security tooling – ship code that hardens safety monitoring pipelines across agent executions at scale.</li>\n</ul>\n<ul>\n<li>Collaborating cross-functionally – work daily with Agent Infrastructure, product, research, safety, and security teams to balance security, performance, and usability.</li>\n</ul>\n<ul>\n<li>Influencing strategy &amp; standards – shape the long-term Agent Security roadmap, publish best practices internally and externally, and help define industry standards for securing autonomous AI.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Strong software-engineering skills in Python or at least one systems language (Go, Rust, C/C++), plus a track record of shipping and operating secure, high-reliability services.</li>\n</ul>\n<ul>\n<li>Deep expertise in modern isolation techniques – experience with container security, kernel-level hardening, and other isolation methods.</li>\n</ul>\n<ul>\n<li>Hands-on network security experience – implementing identity-based controls, policy enforcement, and secure large-scale telemetry pipelines.</li>\n</ul>\n<ul>\n<li>Clear, concise communication that bridges engineering, research, and leadership audiences; comfort influencing roadmaps and driving consensus.</li>\n</ul>\n<ul>\n<li>Bias for action &amp; ownership – you thrive in ambiguity, move quickly without sacrificing rigor, and elevate the security bar company-wide from day one.</li>\n</ul>\n<ul>\n<li>Cloud security depth on at least one major provider (Azure, AWS, GCP), including identity federation, workload IAM, and infrastructure-as-code best practices.</li>\n</ul>\n<ul>\n<li>Familiarity with AI/ML security challenges – experience addressing risks associated with advanced AI systems (nice-to-have but valuable)</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience with container orchestration (e.g., Kubernetes) and service mesh technologies (e.g., Istio, Linkerd).</li>\n</ul>\n<ul>\n<li>Knowledge of cloud security frameworks and compliance standards (e.g., HIPAA, PCI-DSS).</li>\n</ul>\n<ul>\n<li>Familiarity with machine learning and AI frameworks (e.g., TensorFlow, PyTorch).</li>\n</ul>\n<ul>\n<li>Experience with DevOps tools and practices (e.g., CI/CD pipelines, containerization).</li>\n</ul>\n<p><strong>What We Offer</strong></p>\n<ul>\n<li>Competitive salary and benefits package</li>\n</ul>\n<ul>\n<li>Opportunity to work with a talented team of engineers and researchers</li>\n</ul>\n<ul>\n<li>Collaborative and dynamic work environment</li>\n</ul>\n<ul>\n<li>Professional growth and development opportunities</li>\n</ul>\n<ul>\n<li>Flexible work arrangements</li>\n</ul>\n<ul>\n<li>Access to cutting-edge technology and tools</li>\n</ul>\n<p><strong>How to Apply</strong></p>\n<p>If you are a motivated and experienced security engineer looking to join a dynamic team, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!</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_2fd7fc02-3ed","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/e9bea775-7eb6-438a-ab96-27d5f941e69d","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$293K – $385K • Offers Equity","x-skills-required":["Python","Go","Rust","C/C++","container security","kernel-level hardening","isolation methods","identity-based controls","policy enforcement","telemetry pipelines","cloud security","identity federation","workload IAM","infrastructure-as-code"],"x-skills-preferred":["container orchestration","service mesh technologies","cloud security frameworks","compliance standards","machine learning","AI frameworks","DevOps tools","CI/CD pipelines","containerization"],"datePosted":"2026-03-06T18:44:49.390Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Go, Rust, C/C++, container security, kernel-level hardening, isolation methods, identity-based controls, policy enforcement, telemetry pipelines, cloud security, identity federation, workload IAM, infrastructure-as-code, container orchestration, service mesh technologies, cloud security frameworks, compliance standards, machine learning, AI frameworks, DevOps tools, CI/CD pipelines, containerization","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":293000,"maxValue":385000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3f16d353-491"},"title":"Software Engineer, Infrastructure Reliability","description":"<p><strong>Software Engineer, Infrastructure Reliability</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>$255K – $385K</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>We’re hiring Software Engineers to join our Applied Infrastructure organization, and more specifically for our Database Systems and Online Storage teams. These teams operate with a high degree of autonomy and are deeply collaborative, with a shared mandate to raise the bar on safety, reliability, and velocity across OpenAI.</p>\n<p><strong>About the Role</strong></p>\n<p>You’ll be at the heart of scaling and hardening the infrastructure that powers some of the most widely used AI systems in the world. You’ll help ensure our systems are highly reliable, observable, performant, and secure—so researchers can iterate quickly, and products like ChatGPT and the OpenAI API can serve millions of users safely and effectively.</p>\n<p>This is a hands-on, high-leverage role for engineers who thrive on ownership, love solving deep technical problems across the stack, and want to work on systems that support cutting-edge research and deploy at global scale. You’ll play a key part in shaping technical direction, proactively improving system resilience, and collaborating closely with infra, product, and research teams to turn complex infrastructure into reliable platforms.</p>\n<p><strong>In this role you will:</strong></p>\n<ul>\n<li>Design, build, and operate reliable and performant systems used across engineering.</li>\n</ul>\n<ul>\n<li>Identify and fix performance bottlenecks and inefficiencies, ensuring our infrastructure can scale to the next order of magnitude.</li>\n</ul>\n<ul>\n<li>Dig deep to resolve complex issues.</li>\n</ul>\n<ul>\n<li>Continuously improve automation to reduce manual work. Improve internal tooling and our developer experience.</li>\n</ul>\n<ul>\n<li>Contribute to incident response, postmortems, and the development of best practices around system reliability and scalability.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have a deep understanding of distributed systems principles and a proven track record in building and operating scalable and reliable systems.</li>\n</ul>\n<ul>\n<li>Have a keen eye for performance and optimization. You know how to squeeze the most performance out of complex, globally-distributed systems.</li>\n</ul>\n<ul>\n<li>Have experience operating orchestration systems such as Kubernetes at scale and building abstractions over cloud platforms</li>\n</ul>\n<ul>\n<li>Are comfortable working in Linux environments, and with tools like Kubernetes, Terraform, CI/CD pipelines, and modern observability stacks.</li>\n</ul>\n<ul>\n<li>Are experienced in collaborating with cross-functional teams to ensure that reliability and scalability are considered in the design and development of new features and services.</li>\n</ul>\n<ul>\n<li>Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.</li>\n</ul>\n<ul>\n<li>Own problems end-to-end, and are willing to pick up whatever knowledge you&#39;re missing to get the job done.</li>\n</ul>\n<ul>\n<li>Are comfortable with ambiguity and rapid change.</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>A passion for distributed systems at scale with a focus on reliability, scalability, security, and continuous improvement.</li>\n</ul>\n<ul>\n<li>Proven experience as an reliability engineer, production engineer, or a similar role in a fast-paced, rapidly scaling company.</li>\n</ul>\n<ul>\n<li>Strong proficiency in cloud infrastructure (like AWS, GCP, Azure) and IaC tools such as Terraform. Proficiency in programming / scripting languages.</li>\n</ul>\n<ul>\n<li>Experience with containerization technologies and container orchestration platforms like Kubernetes.</li>\n</ul>\n<ul>\n<li>Experience with observability tools such as Datadog, Prometheus, Grafana, Splunk and ELK stack.</li>\n</ul>\n<ul>\n<li>Experience with microservices architecture and service mesh technologies.</li>\n</ul>\n<ul>\n<li>Knowledge of security best practices in cloud environments.</li>\n</ul>\n<ul>\n<li>Strong understanding of distributed systems, networking, and database technologies.</li>\n</ul>\n<ul>\n<li>Excellent problem-solving skills and ability to work in a fast-paced environment.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company that aims to develop and apply general-purpose technologies to align with human values.</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_3f16d353-491","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/779b340d-e645-4da1-a923-b3070a26d936","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$255K – $385K","x-skills-required":["cloud infrastructure","IaC tools","programming/scripting languages","containerization technologies","container orchestration platforms","observability tools","microservices architecture","service mesh technologies","security best practices","distributed systems","networking","database technologies"],"x-skills-preferred":["Kubernetes","Terraform","Datadog","Prometheus","Grafana","Splunk","ELK stack"],"datePosted":"2026-03-06T18:24:50.552Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"cloud infrastructure, IaC tools, programming/scripting languages, containerization technologies, container orchestration platforms, observability tools, microservices architecture, service mesh technologies, security best practices, distributed systems, networking, database technologies, Kubernetes, Terraform, Datadog, Prometheus, Grafana, Splunk, ELK stack","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":255000,"maxValue":385000,"unitText":"YEAR"}}}]}