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It complements SUNK (Slurm on Kubernetes) by providing a Kubernetes-first, cloud-native orchestration layer with deep platform integration.</p>\n<p>You will own meaningful components of the platform, drive reliability and performance improvements, and help scale the system as customer demand and workload complexity continue to grow.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, build, and operate Kubernetes-native services for AI workload orchestration and scheduling</li>\n<li>Own one or more platform components end-to-end, including design, implementation, testing, and on-call support</li>\n<li>Improve scheduling latency, cluster utilization, and workload reliability through metrics-driven engineering</li>\n<li>Contribute to architectural discussions across services and influence design decisions within the platform</li>\n<li>Work closely with adjacent teams (CKS, infrastructure, managed inference) to ensure clean interfaces and integrations</li>\n<li>Mentor junior engineers and raise the quality bar for code, design, and operations</li>\n</ul>\n<p>About the role:</p>\n<ul>\n<li>5–8 years of professional software engineering experience in distributed systems, cloud infrastructure, or platform engineering</li>\n<li>Strong experience building production systems in Go (Python or C++ a plus)</li>\n<li>Solid understanding of Kubernetes fundamentals, APIs, controllers, and operating services in production</li>\n<li>Experience working with scheduling, resource management, or quota-based systems</li>\n<li>Proven ability to improve system reliability and performance using data and operational metrics</li>\n<li>Comfortable owning services in production and participating in on-call rotations</li>\n</ul>\n<p>Preferred:</p>\n<ul>\n<li>Experience with Kubernetes-native orchestration frameworks such as Kueue, Volcano, Ray, Kubeflow, or Argo Workflows</li>\n<li>Familiarity with GPU-based workloads, ML training, or inference pipelines</li>\n<li>Knowledge of scheduling concepts such as quota enforcement, pre-emption, and backfilling</li>\n<li>Experience with reliability practices including SLOs, alerting, and incident response</li>\n<li>Exposure to AI infrastructure, HPC, or large-scale distributed compute environments</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. 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>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. 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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 - 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 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_372999e8-579","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4647595006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$165,000 to $242,000","x-skills-required":["Kubernetes","Go","Distributed systems","Cloud infrastructure","Platform engineering","Scheduling","Resource management","Quota-based systems"],"x-skills-preferred":["Kueue","Volcano","Ray","Kubeflow","Argo Workflows","GPU-based workloads","ML training","Inference pipelines","SLOs","Alerting","Incident response","AI infrastructure","HPC","Large-scale distributed compute environments"],"datePosted":"2026-04-18T15:50:19.636Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale, CA / Bellevue, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Kubernetes, Go, Distributed systems, Cloud infrastructure, Platform engineering, Scheduling, Resource management, Quota-based systems, Kueue, Volcano, Ray, Kubeflow, Argo Workflows, GPU-based workloads, ML training, Inference pipelines, SLOs, Alerting, Incident response, AI infrastructure, HPC, Large-scale distributed compute environments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":165000,"maxValue":242000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8bd96134-88f"},"title":"Senior Technical Program Manager, Hosting Services","description":"<p>We are seeking a Senior Technical Program Manager to join our Hosting Services team. As a Senior TPM, you will be responsible for leading complex projects and programs that touch multiple product surfaces, services, functions, and teams. You will work closely with cross-functional stakeholders to define and align on success criteria for both short-term and long-term business goals.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop and manage comprehensive project plans to execute on initiatives, identify key milestones, and ensure alignment across stakeholders</li>\n<li>Think both broadly about overall outcomes while using good judgment on where to focus in on details</li>\n<li>Influence the technical direction of projects to meet the stakeholders&#39; needs while upholding quality</li>\n<li>Quickly validate project ideas through iterative development, and pivot as necessary</li>\n<li>Define and align on success criteria for both short-term and long-term business goals, regularly assessing risks and opportunities and identifying mitigation strategies</li>\n<li>Manage effective communication channels to keep a wider range of stakeholders updated on the progress</li>\n<li>Showcase the work in front of senior leaders, clearly communicate trade-offs, risks, and opportunities</li>\n</ul>\n<p>Your Expertise:</p>\n<ul>\n<li>7+ years of experience in the software development industry, with at least 5 years as a TPM or relevant experience</li>\n<li>Experience using AI to automate manual processes to improve you and your team&#39;s productivity</li>\n<li>Demonstrated ability to work through ambiguity to detailed solutions</li>\n<li>Self-motivated, proactive, and proven ability to adapt well and work with teams having different operating cadences</li>\n<li>Sound business judgment, a proven ability to influence others, strong analytical skills, and a track record of taking ownership, leading data-driven analyses, and influencing results</li>\n<li>Experience with ML models, LLMs, LRMs, feature development, model testing, and resource management to support the development of AI-powered product experiences</li>\n<li>Familiar with A/B testing, incremental delivery, and deployment</li>\n<li>Ability to ramp up quickly and learn new technologies with minimal lag time</li>\n<li>Excellent written and oral business communication and people skills, with the ability to influence stakeholders</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience developing or working directly on various aspects of large-scale ML/AI platforms</li>\n<li>Experience with feature development of AI-powered product experiences</li>\n<li>Experience and passion for building and maintaining products leveraging AI models</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_8bd96134-88f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/","logo":"https://logos.yubhub.co/airbnb.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airbnb/jobs/7773376","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$179,000-$210,000 USD","x-skills-required":["AI","Machine Learning","Software Development","Project Management","Technical Leadership","Communication","Influence","Analytical Skills","Data-Driven Decision Making"],"x-skills-preferred":["ML Models","LLMs","LRMs","Feature Development","Model Testing","Resource Management","A/B Testing","Incremental Delivery","Deployment"],"datePosted":"2026-04-18T15:48:35.358Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI, Machine Learning, Software Development, Project Management, Technical Leadership, Communication, Influence, Analytical Skills, Data-Driven Decision Making, ML Models, LLMs, LRMs, Feature Development, Model Testing, Resource Management, A/B Testing, Incremental Delivery, Deployment","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":179000,"maxValue":210000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e56cfd84-be6"},"title":"Delivery Solutions Architect - Financial Services","description":"<p>At Databricks, we are on a mission to empower our customers to solve the world&#39;s toughest data problems by utilizing the Databricks Data Intelligence Platform. We are seeking a Delivery Solutions Architect to play an important role in this journey.</p>\n<p>As a Delivery Solutions Architect, you will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.</p>\n<p>This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers&#39; stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Engage with Solutions Architects to understand the full use case demand plan for prioritised customers</li>\n<li>Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts</li>\n<li>Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks</li>\n<li>Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations</li>\n<li>Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise</li>\n<li>Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals</li>\n<li>Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs</li>\n<li>Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:</li>\n</ul>\n<ul>\n<li>Main use cases moving from ‘win’ to production</li>\n<li>Enablement / user growth plan</li>\n<li>Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)</li>\n<li>Organic needs for current investment (e.g. cloud cost control, tuning &amp; optimization)</li>\n<li>Executive and operational governance</li>\n<li>Provide internal and external updates</li>\n<li>KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>7+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers</li>\n<li>Programming experience in Python, SQL or Scala</li>\n<li>Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role</li>\n<li>Understanding of solution architecture related distributed data systems</li>\n<li>Understanding of how to attribute business value and outcomes to specific project deliverables</li>\n<li>Technical program, or project management including account, stakeholder and resource management accountability</li>\n<li>Experience resolving complex and important escalation with senior customer executives</li>\n<li>Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects</li>\n<li>Track record of overachievement against quota, Goals or similar objective targets</li>\n<li>Bachelor&#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience</li>\n<li>Can travel up to 30% when needed</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 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 anticipates 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>Local Pay Range $180,000-$247,500 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_e56cfd84-be6","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/8442976002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180,000-$247,500 USD","x-skills-required":["Python","SQL","Scala","Solution architecture","Distributed data systems","Business value and outcomes","Technical program management","Project management","Account management","Stakeholder management","Resource management"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:48:21.212Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Georgia; Illinois; Massachusetts; New York; North Carolina; Washington, D.C."}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, Scala, Solution architecture, Distributed data systems, Business value and outcomes, Technical program management, Project management, Account management, Stakeholder management, Resource management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":247500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_35f3735f-43a"},"title":"Senior Software Engineer - Database Engine Internals","description":"<p>Our mission at Databricks is to simplify the data lifecycle from ingestion to ETL, BI, and ML/AI with a unified platform.</p>\n<p>To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse, open platforms that unify data warehousing and advanced analytics.</p>\n<p>A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science.</p>\n<p>As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art:</p>\n<ul>\n<li>Query compilation and optimization</li>\n<li>Distributed query execution and scheduling</li>\n<li>Vectorized execution engine</li>\n<li>Data security</li>\n<li>Resource management</li>\n<li>Transaction coordination</li>\n<li>Efficient storage structures (encodings, indexes)</li>\n<li>Automatic physical data optimization</li>\n</ul>\n<p>We look for:</p>\n<ul>\n<li>A passion for database systems, storage systems, distributed systems, language design, or performance optimization</li>\n<li>Experience working towards a multi-year vision with incremental deliverables</li>\n<li>Motivated by delivering customer value and impact</li>\n<li>5+ years of experience working in a related system (preferred)</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 salary range for non-commissionable roles or on-target earnings for commissionable roles.</p>\n<p>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.</p>\n<p>Based on the factors above, Databricks anticipates utilizing the full width of the range.</p>\n<p>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>Local Pay Range $166,000-$225,000 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_35f3735f-43a","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/6544383002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$166,000-$225,000 USD","x-skills-required":["database systems","storage systems","distributed systems","language design","performance optimization","query compilation and optimization","distributed query execution and scheduling","vectorized execution engine","data security","resource management","transaction coordination","efficient storage structures"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:47:27.830Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"database systems, storage systems, distributed systems, language design, performance optimization, query compilation and optimization, distributed query execution and scheduling, vectorized execution engine, data security, resource management, transaction coordination, efficient storage structures","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":166000,"maxValue":225000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f2139aac-53b"},"title":"Staff Detection & Response Engineer","description":"<p>Secure Every Identity, from AI to Human</p>\n<p>Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.</p>\n<p>This is an opportunity to do career-defining work. We&#39;re all in on this mission. If you are too, let&#39;s talk.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Staff Detection &amp; Response Engineer at Okta, you will occupy a high-impact leadership role within our Security Operations organisation. This is not just a technical role; it is a strategic one. You will influence security decisions across multiple teams, drive innovation in our defence-in-depth strategies, and act as a force multiplier for our global security posture.</p>\n<p>You will be responsible for leading complex threat hunts, managing major security incidents, and architecting the detection frameworks that protect Okta’s infrastructure and customers. You will serve as a bridge between executive leadership and technical teams, ensuring our security objectives align with broader business trends and strategic goals.</p>\n<p><strong>What You’ll Do</strong></p>\n<p><strong>Technical Leadership &amp; Innovation</strong></p>\n<ul>\n<li>Threat Hunting: Lead complex, hypothesis-driven threat hunts based on vague intelligence, and develop refined methodologies for the broader team to follow.</li>\n</ul>\n<ul>\n<li>Detection Engineering: Write novel detections and solve complex querying challenges. You will establish the frameworks and standards for detection engineering across the entire security organisation.</li>\n</ul>\n<ul>\n<li>Architectural Influence: Design and validate the effectiveness of preventative control chains and influence the selection and architecture of new security solutions.</li>\n</ul>\n<ul>\n<li>Incident Response: Serve as the technical lead for major incidents, including investigating threats in &#39;foreign&#39; or uncommon environments by leveraging frameworks and your professional network.</li>\n</ul>\n<p><strong>Global Mindset</strong></p>\n<p>While Okta maintains a 24x7 posture, there is a requirement to be available in a crisis out of (your business) hours, and as a thought leader, to interface with colleagues globally.</p>\n<p><strong>Strategic Execution</strong></p>\n<ul>\n<li>Project Ownership: Own multi-quarter objectives and drive them to success, developing project plans that align with Okta’s strategic VMTs (Vision, Metrics, and Targets) and budget.</li>\n</ul>\n<ul>\n<li>Problem Solving: Navigate issues of diverse scope, analysing data against current business trends to provide innovative solutions.</li>\n</ul>\n<ul>\n<li>Innovation: Secure resources for and drive innovation initiatives across multiple teams, facilitating cross-functional workshops to generate new security solutions.</li>\n</ul>\n<p><strong>Team Advocacy &amp; Mentorship</strong></p>\n<ul>\n<li>Culture Building: Foster an inclusive, collaborative environment by sharing wins, rewarding team efforts, and encouraging diverse perspectives.</li>\n</ul>\n<ul>\n<li>Mentorship: Act as an advisor to junior colleagues, providing actionable feedback and helping others align their career goals with organisational objectives.</li>\n</ul>\n<ul>\n<li>Consensus Driving: Drive consensus and resolve issues within cross-functional teams, ensuring all stakeholders are aligned on security priorities.</li>\n</ul>\n<p><strong>Who You Are</strong></p>\n<ul>\n<li>Expert Investigator: You have a deep understanding of threat actor TTPs and can navigate complex systems even when documentation is sparse.</li>\n</ul>\n<ul>\n<li>Effective Communicator: You can translate complex technical problems for any audience, from executive leadership to junior analysts.</li>\n</ul>\n<ul>\n<li>Resilient Leader: You have a &#39;bottom-line&#39; orientation, persisting through obstacles and setbacks to achieve results.</li>\n</ul>\n<ul>\n<li>Self-Aware &amp; Empathetic: You proactively seek feedback, know your limits, and lead with empathy and compassion.</li>\n</ul>\n<ul>\n<li>Collaboratively Minded: You prioritise the development of others and establish internal and external networks of coaches and mentors.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Proven experience in a high-growth SaaS or security-focused environment.</li>\n</ul>\n<ul>\n<li>Expertise in querying languages, detection frameworks (e.g., MITRE ATT&amp;CK), and modern IR toolsets.</li>\n</ul>\n<ul>\n<li>Experience managing communications during crises or major security incidents.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to lead project teams and manage budget/resource requirements.</li>\n</ul>\n<ul>\n<li>Strong background in automating response workflows and refining preventative controls.</li>\n</ul>\n<p><strong>Why Okta?</strong></p>\n<p>Okta is the World’s Identity Company. We are building a world where anyone can safely use any technology. As a Staff Engineer, you will play a pivotal role in ensuring that vision remains a reality.</p>\n<p>#LI-HYBRID</p>\n<p>P6513_3323862</p>\n<p>Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/can.</p>\n<p>The annual base salary range for this position for candidates located in Canada is between: $141,000-$211,000 CAD</p>\n<p>The Okta Experience</p>\n<ul>\n<li>Supporting Your Well-Being</li>\n</ul>\n<ul>\n<li>Driving Social Impact</li>\n</ul>\n<ul>\n<li>Developing Talent and Fostering Connection + Community</li>\n</ul>\n<p>We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.</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_f2139aac-53b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Okta","sameAs":"https://www.okta.com/","logo":"https://logos.yubhub.co/okta.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/okta/jobs/7492429","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$141,000-$211,000 CAD","x-skills-required":["querying languages","detection frameworks","MITRE ATT&CK","modern IR toolsets","project management","budget/resource management","automating response workflows","refining preventative controls"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:47:27.453Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, Ontario, Canada"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"querying languages, detection frameworks, MITRE ATT&CK, modern IR toolsets, project management, budget/resource management, automating response workflows, refining preventative controls","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":141000,"maxValue":211000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_688649c6-0a0"},"title":"Delivery Solutions Architect - Digital Native Business","description":"<p>At Databricks, we are on a mission to empower our customers to solve the world&#39;s toughest data problems. As a Delivery Solutions Architect (DSA), you will play an important role in this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.</p>\n<p>This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers&#39; stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Engage with Solutions Architects to understand the full use case demand plan for prioritised customers</li>\n<li>Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts</li>\n<li>Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks</li>\n<li>Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organisations</li>\n<li>Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise</li>\n<li>Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals</li>\n<li>Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs</li>\n<li>Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:</li>\n</ul>\n<ul>\n<li>Main use cases moving from &#39;win&#39; to production</li>\n<li>Enablement / user growth plan</li>\n<li>Product adoption (strategy and activities to increase adoption of Databricks&#39; Lakehouse vision)</li>\n<li>Organic needs for current investment (e.g. cloud cost control, tuning &amp; optimisation)</li>\n<li>Executive and operational governance</li>\n<li>Provide internal and external updates</li>\n<li>KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression to your Technical GM</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers</li>\n<li>Programming experience in Python, SQL or Scala</li>\n<li>Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role</li>\n<li>Understanding of solution architecture related distributed data systems</li>\n<li>Understanding of how to attribute business value and outcomes to specific project deliverables</li>\n<li>Technical program, or project management including account, stakeholder and resource management accountability</li>\n<li>Experience resolving complex and important escalation with senior customer executives</li>\n<li>Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects</li>\n<li>Track record of overachievement against quota, Goals or similar objective targets</li>\n<li>Bachelor&#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience</li>\n<li>Can travel up to 30% when needed</li>\n</ul>\n<p>Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipates 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. For more information regarding which range your location is in visit our page here. 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As a Staff Software Engineer, you will be part of a multi-year journey to design and build the next-generation query engine and structured storage system.</p>\n<p>Our mission at Databricks is to simplify the data lifecycle from ingestion to ETL, BI, and ML/AI with a unified platform. We believe the data warehouse architecture will be replaced by a new architectural pattern, Lakehouse, which unifies data warehousing and advanced analytics.</p>\n<p>The new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. 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You should be comfortable working towards a multi-year vision with incremental deliverables, be customer-oriented and focused on having an impact, and have 7+ years of experience working in a related system. 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Experience managing partner or third-party organization enablement, including upskilling teams to provide delivery capabilities, is also highly desirable.</p>\n<p>If you are a results-driven professional with excellent communication and interpersonal skills, and a passion for delivering high-quality services, we encourage you to apply for this exciting opportunity.</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_071153a3-427","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/8298163002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["resource management","demand pipeline management","partner relationship management","project management","service delivery","training and development","communication and interpersonal skills","data analysis and interpretation","problem-solving and critical thinking"],"x-skills-preferred":["Gen AI capabilities","machine learning","data engineering","data science","cloud computing","DevOps","agile methodologies"],"datePosted":"2026-04-18T15:45:22.096Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"resource management, demand pipeline management, partner relationship management, project management, service delivery, training and development, communication and interpersonal skills, data analysis and interpretation, problem-solving and critical thinking, Gen AI capabilities, machine learning, data engineering, data science, cloud computing, DevOps, agile methodologies"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_65bcd8f4-7e6"},"title":"Staff Software Engineer - Database Engine Internals","description":"<p>Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform.</p>\n<p>To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse (CIDR 2021 paper), open platforms that unify data warehousing and advanced analytics.</p>\n<p>A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialised data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science.</p>\n<p>As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art:</p>\n<ul>\n<li>Query compilation and optimisation</li>\n<li>Distributed query execution and scheduling</li>\n<li>Vectorised execution engine</li>\n<li>Data security</li>\n<li>Resource management</li>\n<li>Transaction coordination</li>\n<li>Efficient storage structures (encodings, indexes)</li>\n<li>Automatic physical data optimisation</li>\n</ul>\n<p>We look for:</p>\n<ul>\n<li>A passion for database systems, storage systems, distributed systems, language design, or performance optimisation</li>\n<li>Experience working towards a multi-year vision with incremental deliverables</li>\n<li>Motivated by delivering customer value and impact</li>\n<li>8+ years of experience working in a related system (preferred)</li>\n</ul>\n<p>Pay Range Transparency</p>\n<p>Databricks is committed to fair and equitable compensation practices. 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The Program Manager III also manages stakeholder communication and alignment, ensuring transparency and proactive issue resolution.</p>\n<p>Specifically, this role:</p>\n<ul>\n<li>Plans and controls day-to-day project activities and budgets</li>\n<li>Implements IT governance</li>\n<li>Manages customer relationships, enabling commitment</li>\n<li>Works with business unit to define needs and arranges appropriate resources</li>\n<li>Coordinates delivery of work from all suppliers for multiple projects/programs, including risk, quality, change management, schedule, and financial management</li>\n<li>Accountable for work development of work orders/cost estimates to/from suppliers</li>\n<li>Acceptance Criteria and User Acceptance Testing</li>\n<li>Monitors and manages achievement of SLA with suppliers and ISP</li>\n<li>Coordinates communication, escalation, and financial impact management, when SLAs are not met.</li>\n</ul>\n<p>The Strategy Execution Team is responsible for translating strategic objectives into fully operationalized initiatives. 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We&#39;re combining first-principles thinking with cutting-edge technology to build a radically better energy system.</p>\n<p>We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lead the end-to-end delivery of multiple construction projects, ensuring safe, high-quality execution on time and within budget.</li>\n<li>Oversee all construction activities in full compliance with CDM Regulations and UK Health &amp; Safety standards.</li>\n<li>Establish and continuously improve Fuse’s internal construction management frameworks, defining clear roles, responsibilities, governance processes, and key deliverables.</li>\n<li>Develop, manage, and track project budgets, schedules, risks, and resources in collaboration with engineering, procurement, finance, and external stakeholders.</li>\n<li>Lead contractor, subcontractor, and site team performance to ensure contractual compliance, technical excellence, and efficient delivery.</li>\n<li>Build and maintain strong relationships with DNOs, local authorities, suppliers, and delivery partners.</li>\n<li>Support tendering and procurement activities, conduct site visits to monitor progress and compliance, and ensure accurate reporting and project documentation throughout the project lifecycle.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Bachelor’s degree in Engineering, or another technical discipline.</li>\n<li>Proven track record delivering grid-connected renewable energy projects, ideally including utility-scale solar PV installations.</li>\n<li>Extensive construction leadership experience within an EPC environment, managing multiple projects simultaneously.</li>\n<li>Excellent communication, leadership, and stakeholder management skills.</li>\n<li>In-depth knowledge of CDM Regulations, HSE compliance, and UK construction best practices.</li>\n<li>Excellent communication, leadership, and stakeholder management skills, with the ability to coordinate cross-functional teams effectively.</li>\n<li>Willingness to travel to project sites across the UK where required.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary</li>\n<li>Biannual bonus scheme</li>\n<li>Fully expensed tech to match your needs</li>\n<li>Paid annual leave</li>\n<li>Breakfast and dinner allowance for office based employees</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_ebe3b9c1-94d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Fuse Energy","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/1rPENN3irBbW3F14cmnjdk/hybrid-construction-director---renewables-epc-in-london-at-fuse-energy","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Construction Management","CDM Regulations","UK Health & Safety standards","Project Budgeting","Project Scheduling","Risk Management","Resource Management","Contractor Management","Subcontractor Management","Site Team Management","DNO Management","Local Authority Management","Supplier Management","Delivery Partner Management"],"x-skills-preferred":[],"datePosted":"2026-03-09T17:00:10.900Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, England"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Renewable Energy","skills":"Construction Management, CDM Regulations, UK Health & Safety standards, Project Budgeting, Project Scheduling, Risk Management, Resource Management, Contractor Management, Subcontractor Management, Site Team Management, DNO Management, Local Authority Management, Supplier Management, Delivery Partner Management"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_46a8c619-ec1"},"title":"Backend Engineer: AI Shopping Agents","description":"<p><strong>About the Job</strong></p>\n<p>Constructor is seeking a Backend Engineer to join its AI Shopping Agents team. The primary focus of this job is to design, deliver &amp; maintain web and data pipeline services in close collaboration with other engineers.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build, deploy, and support backend services</li>\n<li>Define cloud infrastructure using AWS CloudFormation and maintain CI/CD pipelines with GitHub Actions</li>\n<li>Improve and operate our observability stack</li>\n<li>Collaborate with technical and non-technical stakeholders to design, develop, and refine features</li>\n<li>Communicate effectively with stakeholders within and outside the team</li>\n<li>Contribute to data processing pipelines and ETL processes</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Strong proficiency in Python and server-side web development (API design, concurrency/asynchronous programming)</li>\n<li>Experience designing, building, and operating production backend services (performance, reliability, on-call/operations mindset)</li>\n<li>Experience with Infrastructure as Code and cloud resource management (AWS preferred; Azure/GCP also fine)</li>\n<li>Hands-on experience building or maintaining CI/CD pipelines</li>\n<li>Experience with observability: metrics/logs/traces, dashboards, and alerting</li>\n<li>Experience working with databases, including at least one relational and one NoSQL system (e.g., PostgreSQL, DynamoDB)</li>\n</ul>\n<p><strong>Nice to Haves</strong></p>\n<ul>\n<li>Experience with high-load and/or real-time systems</li>\n<li>Experience with distributed/service-oriented architectures, including interface definition and binary RPC (e.g., Protobuf/gRPC)</li>\n<li>Familiarity with additional vector databases</li>\n<li>Experience contributing to or owning ETL/data pipeline systems at scale</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Work with smart and empathetic people who will help you grow and make a meaningful impact.</li>\n<li>Regular team offsite events to connect and collaborate.</li>\n<li>Fully remote team - choose where you live.</li>\n<li>Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.</li>\n<li>Work from home stipend! We want you to have the resources you need to set up your home office.</li>\n<li>Apple laptops provided for new employees.</li>\n<li>Training and development budget for every employee, refreshed each year.</li>\n<li>Maternity &amp; Paternity leave for qualified employees.</li>\n<li>Base salary: $80k–$120K USD, depending on knowledge, skills, experience, and interview results.</li>\n<li>Stock options - offered in addition to the base salary</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_46a8c619-ec1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Constructor","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/9A5E2DE872","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$80k–$120K USD","x-skills-required":["Python","server-side web development","API design","concurrency/asynchronous programming","Infrastructure as Code","cloud resource management","CI/CD pipelines","observability","metrics/logs/traces","dashboards","alerting","databases","relational databases","NoSQL databases"],"x-skills-preferred":["high-load and/or real-time systems","distributed/service-oriented architectures","interface definition","binary RPC","vector databases","ETL/data pipeline systems"],"datePosted":"2026-03-09T10:58:04.837Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Oregon, United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, server-side web development, API design, concurrency/asynchronous programming, Infrastructure as Code, cloud resource management, CI/CD pipelines, observability, metrics/logs/traces, dashboards, alerting, databases, relational databases, NoSQL databases, high-load and/or real-time systems, distributed/service-oriented architectures, interface definition, binary RPC, vector databases, ETL/data pipeline systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":80000,"maxValue":120000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_173381a1-8d0"},"title":"Software Engineer, Sandboxing (Systems)","description":"<p><strong>About Anthropic</strong></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. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>Responsibilities:</strong></p>\n<p>We are seeking a Linux OS and System Programming Subject Matter Expert to join our Infrastructure team. In this role, you&#39;ll work on accelerating and optimising our virtualisation and VM workloads that power our AI infrastructure. Your expertise in low-level system programming, kernel optimisation, and virtualisation technologies will be crucial in ensuring Anthropic can scale our compute infrastructure efficiently and reliably for training and serving frontier AI models.</p>\n<ul>\n<li>Optimise our virtualisation stack, improving performance, reliability, and efficiency of our VM environments</li>\n<li>Design and implement kernel modules, drivers, and system-level components to enhance our compute infrastructure</li>\n<li>Investigate and resolve performance bottlenecks in virtualised environments</li>\n<li>Collaborate with cloud engineering teams to optimise interactions between our workloads and underlying hardware</li>\n<li>Develop tooling for monitoring and improving virtualisation performance</li>\n<li>Work with our ML engineers to understand their computational needs and optimise our systems accordingly</li>\n<li>Contribute to the design and implementation of our next-generation compute infrastructure</li>\n<li>Share knowledge with team members on low-level systems programming and Linux kernel internals</li>\n<li>Partner with cloud providers to influence hardware and platform features for AI workloads</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have experience with Linux kernel development, system programming, or related low-level software engineering</li>\n<li>Understand virtualisation technologies (KVM, Xen, QEMU, etc.) and their performance characteristics</li>\n<li>Have experience optimising system performance for compute-intensive workloads</li>\n<li>Are familiar with modern CPU architectures and memory systems</li>\n<li>Have strong C/C++ programming skills and ideally experience with systems languages like Rust</li>\n<li>Understand Linux resource management, scheduling, and memory management</li>\n<li>Have experience profiling and debugging system-level performance issues</li>\n<li>Are comfortable diving into unfamiliar codebases and technical domains</li>\n<li>Are results-oriented, with a bias towards practical solutions and measurable impact</li>\n<li>Care about the societal impacts of AI and are passionate about building safe, reliable systems</li>\n</ul>\n<p><strong>Strong candidates may also have experience with:</strong></p>\n<ul>\n<li>GPU virtualisation and acceleration technologies</li>\n<li>Cloud infrastructure at scale (AWS, GCP)</li>\n<li>Container technologies and their underlying implementation (Docker, containerd, runc, OCI)</li>\n<li>eBPF programming and kernel tracing tools</li>\n<li>OS-level security hardening and isolation techniques</li>\n<li>Developing custom scheduling algorithms for specialised workloads</li>\n<li>Performance optimisation for ML/AI specific workloads</li>\n<li>Network stack optimisation and high-performance networking</li>\n<li>Experience with TPUs, custom ASICs, or other ML accelerators</li>\n</ul>\n<p><strong>Representative projects:</strong></p>\n<ul>\n<li>Optimising kernel parameters and VM configurations to reduce inference latency for large language models</li>\n<li>Implementing custom memory management schemes for large-scale distributed training</li>\n<li>Developing specialised I/O schedulers to prioritise ML workloads</li>\n<li>Creating lightweight virtualisation solutions tailored for AI inference</li>\n<li>Building monitoring and instrumentation tools to identify system-level bottlenecks</li>\n<li>Enhancing communication between VMs for distributed training workloads</li>\n</ul>\n<p><strong>Deadline to apply:</strong></p>\n<p>None. Applications will be reviewed on a rolling basis.</p>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong></p>\n<p>We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</p>\n<p><strong>Location-based hybrid policy:</strong></p>\n<p>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></p>\n<p>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></p>\n<p>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></p>\n<p>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 the authenticity of an email or a request, please reach out to us directly.</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_173381a1-8d0","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/5025591008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$300,000 - $405,000 USD","x-skills-required":["Linux kernel development","System programming","Low-level software engineering","Virtualisation technologies","Kernel optimisation","C/C++ programming","Rust programming","Linux resource management","Scheduling","Memory management"],"x-skills-preferred":["GPU virtualisation","Cloud infrastructure","Container technologies","eBPF programming","OS-level security hardening","Custom scheduling algorithms","Performance optimisation","Network stack optimisation","TPUs","Custom ASICs"],"datePosted":"2026-03-08T14:03:08.579Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Linux kernel development, System programming, Low-level software engineering, Virtualisation technologies, Kernel optimisation, C/C++ programming, Rust programming, Linux resource management, Scheduling, Memory management, GPU virtualisation, Cloud infrastructure, Container technologies, eBPF programming, OS-level security hardening, Custom scheduling algorithms, Performance optimisation, Network stack optimisation, TPUs, Custom ASICs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":300000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7b2b97d5-0a1"},"title":"Software Engineer, Inference Deployment","description":"<p><strong>About Anthropic</strong></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. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About the Role</strong></p>\n<p>Our mandate is to make inference deployment boring and unattended.</p>\n<p>Anthropic serves Claude to millions of users across GPUs, TPUs, and Trainium — and every model update must reach production safely, quickly, and without disrupting service. We&#39;re building the systems that make inference deployment continuous and unattended.</p>\n<p>As a Software Engineer on the Launch Engineering team, you&#39;ll design and build the deployment infrastructure that moves inference code from merge to production. This is a resource-constrained optimization problem at its core: validation and deployment consume the same accelerator chips that serve customer traffic — your deploys compete with live user requests for the same hardware. Every model brings different fleet sizes, startup times, and correctness requirements, so the system must adapt continuously. You&#39;ll build systems that navigate these constraints — orchestrating validation, scheduling deployments intelligently, and driving down cycle time from merge to production.</p>\n<p>If you&#39;ve built deployment systems at scale and gravitate toward the hardest problems at the intersection of automation and resource management, this team will give you an outsized scope to work on them.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li><strong>Own deployment orchestration</strong> that continuously moves validated inference builds into production across GPU, TPU, and Trainium fleets, unattended under normal conditions</li>\n<li><strong>Improve capacity-aware deployment scheduling</strong> to maximize deployment throughput against constrained accelerator budgets and variable fleet sizes</li>\n<li><strong>Extend deployment observability</strong> — dashboards and tooling that answer &quot;what code is running in production,&quot; &quot;where is my commit,&quot; and &quot;what validation passed for this deploy&quot;</li>\n<li><strong>Drive down cycle time</strong> from code merge to production with pipeline architectures that minimize serial dependencies and maximize parallelism</li>\n<li><strong>Optimize fleet rollout strategies</strong> for large-scale deployments across thousands of GPU, TPU, and Trainium chips, minimizing disruption to serving capacity</li>\n<li><strong>Evolve self-service model onboarding</strong> so that new models can be added to the continuous deployment pipeline without Launch Engineering involvement</li>\n<li><strong>Partner across the Inference organization</strong> with teams owning validation, autoscaling, and model routing to integrate deployment automation with their systems</li>\n</ul>\n<p><strong>You May Be a Good Fit If You Have</strong></p>\n<ul>\n<li>5+ years of experience building deployment, release, or delivery infrastructure at scale</li>\n<li>Strong software engineering skills with experience designing systems that manage complex state machines and multi-stage pipelines</li>\n<li>Experience with deployment systems where resource constraints shape the design — whether that&#39;s fleet capacity, network bandwidth, hardware availability, or coordinated rollout windows</li>\n<li>A track record of building automation that measurably improves deployment velocity and reliability</li>\n<li>Proficiency with Kubernetes-based deployments, rolling update mechanics, and container orchestration</li>\n<li>Comfort working across the stack — from backend services and databases to CLI tools and web UIs</li>\n<li>Strong communication skills and the ability to work closely with oncall engineers, model teams, and infrastructure partners</li>\n</ul>\n<p><strong>Strong Candidates May Also Have</strong></p>\n<ul>\n<li>Experience with ML inference or training infrastructure deployment, particularly across multiple accelerator types (GPU, TPU, Trainium)</li>\n<li>Background in capacity planning or resource-constrained scheduling (e.g., bin-packing, fleet management, job scheduling with hardware affinity)</li>\n<li>Experience with progressive delivery in systems with long validation cycles: canary/soak testing, blue-green deployments, traffic shifting, automated rollback</li>\n<li>Experience at companies with large-scale release engineering challenges (mobile release trains, monorepo deployments, multi-datacenter rollouts)</li>\n<li>Experience with Python and/or Rust in production systems</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 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_7b2b97d5-0a1","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/5111745008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000 - $485,000USD","x-skills-required":["deployment","release","delivery","infrastructure","Kubernetes","container","orchestration","pipelines","state machines","multi-stage","pipelines","parallelism","optimization","resource management","automation","velocity","reliability","communication","collaboration","oncall","model teams","infrastructure partners"],"x-skills-preferred":["ML inference","training infrastructure","capacity planning","resource-constrained scheduling","bin-packing","fleet management","job scheduling","hardware affinity","progressive delivery","canary/soak testing","blue-green deployments","traffic shifting","automated rollback","mobile release trains","monorepo deployments","multi-datacenter rollouts","Python","Rust"],"datePosted":"2026-03-08T13:54:19.012Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"deployment, release, delivery, infrastructure, Kubernetes, container, orchestration, pipelines, state machines, multi-stage, pipelines, parallelism, optimization, resource management, automation, velocity, reliability, communication, collaboration, oncall, model teams, infrastructure partners, ML inference, training infrastructure, capacity planning, resource-constrained scheduling, bin-packing, fleet management, job scheduling, hardware affinity, progressive delivery, canary/soak testing, blue-green deployments, traffic shifting, automated rollback, mobile release trains, monorepo deployments, multi-datacenter rollouts, Python, Rust","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":485000,"unitText":"YEAR"}}}]}