{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/argo"},"x-facet":{"type":"skill","slug":"argo","display":"Argo","count":26},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1963e2d1-add"},"title":"Cloud DevOps Engineer","description":"<p>We are seeking a skilled Cloud DevOps Engineer to join our Commodities Technology team. As a Cloud DevOps Engineer, you will work closely with quants, portfolio managers, risk managers, and other engineers to develop data-intensive and multi-asset analytics for our Commodities platform.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Collaborate with cross-functional teams to gather requirements and user feedback</li>\n<li>Design, build, and refactor robust software applications with clean and concise code following Agile and continuous delivery practices</li>\n<li>Automate system maintenance tasks, end-of-day processing jobs, data integrity checks, and bulk data loads/extracts</li>\n<li>Stay up-to-date with industry trends, new platforms, and tools, and develop a business case to adopt new technologies</li>\n<li>Develop new tools and infrastructure using Python (Flask/Fast API) or Java (Spring Boot) and relational data backend (AWS – Aurora/Redshift/Athena/S3)</li>\n<li>Support users and operational flows for quantitative risk, senior management, and portfolio management teams using the tools developed</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Advanced degree in computer science or any other scientific field</li>\n<li>3+ years of experience in CI/CD tools like TeamCity, Jenkins, Octopus Deploy, and ArgoCD</li>\n<li>AWS Cloud infrastructure design, implementation, and support</li>\n<li>Experience with multiple AWS services</li>\n<li>Infrastructure as Code deploying cloud infrastructure using Terraform or CloudFormation</li>\n<li>Knowledge of Python (Flask/FastAPI/Django)</li>\n<li>Demonstrated expertise in the process of containerization for applications and their subsequent orchestration within Kubernetes environments</li>\n<li>Experience working on at least one monitoring/observability stack (Datadog, ELK, Splunk, Loki, Grafana)</li>\n<li>Strong knowledge of Unix or Linux</li>\n<li>Strong communication skills to collaborate with various stakeholders</li>\n<li>Able to work independently in a fast-paced environment</li>\n<li>Detail-oriented, organized, demonstrating thoroughness and strong ownership of work</li>\n<li>Experience working in a production environment</li>\n<li>Some experience with relational and non-relational databases</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience with a messaging middleware platform like Solace, Kafka, or RabbitMQ</li>\n<li>Experience with Snowflake and distributed processing technologies (e.g., Hadoop, Flink, Spark)</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_1963e2d1-add","directApply":true,"hiringOrganization":{"@type":"Organization","name":"FIC & Risk Technology","sameAs":"https://mlp.eightfold.ai","logo":"https://logos.yubhub.co/mlp.eightfold.ai.png"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755955154859","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["CI/CD tools like TeamCity, Jenkins, Octopus Deploy, and ArgoCD","AWS Cloud infrastructure design, implementation, and support","Infrastructure as Code deploying cloud infrastructure using Terraform or CloudFormation","Python (Flask/FastAPI/Django)","Containerization for applications and their subsequent orchestration within Kubernetes environments"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:12:31.979Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Miami, Florida, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"CI/CD tools like TeamCity, Jenkins, Octopus Deploy, and ArgoCD, AWS Cloud infrastructure design, implementation, and support, Infrastructure as Code deploying cloud infrastructure using Terraform or CloudFormation, Python (Flask/FastAPI/Django), Containerization for applications and their subsequent orchestration within Kubernetes environments"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_13667989-d19"},"title":"Staff Software Engineer, AI Developer Tooling","description":"<p>We&#39;re looking for a Staff Software Engineer to join our Platform Engineering team. As a key member of our team, you will redefine how engineers develop, build, test, and deploy software at Scale using AI development tools in addition to traditional practices.</p>\n<p>In this role, you will:</p>\n<ul>\n<li>Define next-generation AI development tooling and frameworks using products like Cursor, Claude Code, OpenAI Codex, and MS Copilot, as well as in-house custom-built solutions.</li>\n<li>Drive the architecture, design, and implementation of our local development process, build, test, continuous integration, and continuous delivery systems, working closely with stakeholders and internal customers to understand and refine requirements.</li>\n<li>Directly mentor software engineers ranging from new grads to experienced engineers.</li>\n<li>Proactively identify opportunities and drive improvements to software development practices, processes, tools, and languages.</li>\n<li>Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.</li>\n</ul>\n<p>Ideally, you&#39;d have:</p>\n<ul>\n<li>8+ years of full-time engineering experience, post-graduation, with experience in build, test, or CI/CD systems.</li>\n<li>Extensive experience defining and evangelizing best-practices for AI development tools, including cost guardrails, security frameworks, and hosting knowledge-sharing sessions, among others.</li>\n<li>Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).</li>\n<li>Experience configuring, testing, and enabling MCP servers, AI agents, and other associated systems.</li>\n<li>Show a track record of independent ownership of successful engineering projects.</li>\n<li>Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.</li>\n<li>Experience working fluently with standard infrastructure, containerization, and deployment technologies like Terraform, Docker, Kubernetes, etc.</li>\n<li>Experience with modern web frameworks like NodeJS, NextJS, etc.</li>\n<li>Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Helm, ArgoCD).</li>\n</ul>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</p>\n<p>You&#39;ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</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_13667989-d19","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4518088005","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$252,000-$315,000 USD","x-skills-required":["Cursor","Claude Code","OpenAI Codex","MS Copilot","Terraform","Docker","Kubernetes","NodeJS","NextJS","CircleCI","Helm","ArgoCD"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:59:55.277Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; Seattle, WA; New York, NY"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Cursor, Claude Code, OpenAI Codex, MS Copilot, Terraform, Docker, Kubernetes, NodeJS, NextJS, CircleCI, Helm, ArgoCD","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":252000,"maxValue":315000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a6557b2b-d24"},"title":"Senior Platform Engineer II, Compute Services","description":"<p>We are seeking a Senior Platform Engineer to join our Kubernetes Infrastructure team. This role involves administering our critical multi-tenant Kubernetes platforms and collaborating with development teams to establish proper deployment architectures.</p>\n<p>The ideal candidate will have a strong background in resilient kubernetes application architecture and deployment.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Champion reliability initiatives for Kubernetes application deployments: Advocate for best practices to ensure high availability, scalability, and resilience of applications in Kubernetes, focusing on robust testing, secure pipelines, and efficient resource use.</li>\n<li>Administer multi-tenant Kubernetes platforms: Manage complex multi-tenant Kubernetes clusters, configuring access, quotas, and security for isolation and optimal resource allocation while upholding SLAs.</li>\n<li>Perform lifecycle and day 2 operations on clusters: Execute Kubernetes cluster lifecycle, including provisioning, patching, monitoring, backup, disaster recovery, and troubleshooting.</li>\n<li>Deep dive into reliability issues: Conduct in-depth analysis and root cause identification for complex reliability incidents in Kubernetes, utilizing advanced debugging and monitoring tools to propose preventative measures.</li>\n<li>Perform on-call duties: Respond to critical alerts and incidents outside business hours, providing timely resolution to minimize disruptions, collaborating with teams, and communicating clearly.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Bachelor&#39;s in CS, Engineering, or related field, or equivalent experience preferred.</li>\n<li>CKA or similar certifications is highly desired.</li>\n<li>5+ years administering multi-tenant SAAS Kubernetes (EKS, AKS, GKS).</li>\n<li>Strong Gitops/Devops with Argocd or similar helm chart management.</li>\n<li>Proven Docker and containerization experience.</li>\n<li>Strong Linux OS experience.</li>\n<li>Proficient in Go.</li>\n<li>Excellent problem-solving, debugging, and analytical skills.</li>\n<li>Strong communication and collaboration.</li>\n</ul>\n<p><strong>Why CoreWeave?</strong></p>\n<p>At CoreWeave, we work hard, have fun, and move fast! We&#39;re in an exciting stage of hyper-growth that you will not want to miss out on. We&#39;re not afraid of a little chaos, and we&#39;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>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. 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. 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. 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><strong>Benefits</strong></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><strong>Workplace</strong></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. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.</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_a6557b2b-d24","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/4607559006","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","Gitops/Devops","Argocd","Helm chart management","Docker","Containerization","Linux OS","Go","Problem-solving","Debugging","Analytical skills","Communication","Collaboration"],"x-skills-preferred":["CKA","Performance profiling","Optimization of distributed systems","Network protocols","Distributed consensus algorithms"],"datePosted":"2026-04-18T15:58:26.513Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Kubernetes, Gitops/Devops, Argocd, Helm chart management, Docker, Containerization, Linux OS, Go, Problem-solving, Debugging, Analytical skills, Communication, Collaboration, CKA, Performance profiling, Optimization of distributed systems, Network protocols, Distributed consensus algorithms","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_f5e7366f-3b6"},"title":"Ocean Operations Associate","description":"<p>We are seeking an Ocean Operations Associate to join our team. 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(such as CircleCI or Github Actions)</li>\n<li>Experience with development and deployment in a hosted cloud environment, preferably AWS</li>\n</ul>\n<p>Education and Training:</p>\n<p>BS, MS, or PhD in Computer Science or related field</p>\n<p>The annual base salary range for this position for candidates located in Canada is between $177,000-$265,000 CAD.</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_9cb24149-c62","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/7361555","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$177,000-$265,000 CAD","x-skills-required":["software engineering processes","agile 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As a member of the infrastructure team, you&#39;ll design, build, and advance our core infrastructure that allows the engineering team to execute quickly, productively, and securely.</p>\n<p>You&#39;ll partner with engineers to build dev tools that empower developer workflows and deployment infrastructure. Ensure reliability of multi-cloud Kubernetes clusters and pipelines. Implement metrics, logging, analytics, and alerting for performance and security across all endpoints and applications. Automate operations and engineering, focusing on automation so we can spend energy where it matters.</p>\n<p>You&#39;ll also build machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.</p>\n<p>We&#39;re looking for someone with 5+ years of experience in DevOps, Site Reliability Engineering, Production Engineering, or equivalent field. You should have deep proficiency with coding languages such as Golang or Python, and deep familiarity with container-related security best practices. Production experience working with Kubernetes, and a deep understanding of the Kubernetes ecosystem, including popular open-source tooling such as cert-manager or external-dns. Experience with GPU-enabled clusters is a bonus.</p>\n<p>Perks &amp; Benefits:</p>\n<ul>\n<li>Comprehensive medical, dental, and vision coverage with plans to fit you and your family</li>\n<li>Flexible PTO to take the time you need, when you need it</li>\n<li>Paid parental leave for all new parents welcoming a new child</li>\n<li>Retirement savings plan to help you plan for the future</li>\n<li>Remote work setup budget to help you create a productive home office</li>\n<li>Monthly wellness and communication stipend to keep you connected and balanced</li>\n<li>In-office meal program and commuter benefits provided for onsite employees</li>\n</ul>\n<p>Compensation at Cresta:</p>\n<p>Cresta&#39;s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.</p>\n<p>OTE Range: $205,000–$270,000 + Offers Equity</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_16599c27-a87","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cresta","sameAs":"https://www.cresta.ai/","logo":"https://logos.yubhub.co/cresta.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/cresta/jobs/5137153008","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$205,000–$270,000","x-skills-required":["Golang","Python","Kubernetes","cert-manager","external-dns","GPU-enabled clusters","Terraform","CloudFormation","AWS","IAM","S3","EC2","EKS","PostgreSQL","GitOps","Flux","Argo","CI/CD","GitHub 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for our CI/CD platform, release management systems, and code quality platform.</li>\n</ul>\n<ul>\n<li>Design and build tooling, frameworks, and automation that help engineering teams maintain and improve code quality across the organization.</li>\n</ul>\n<ul>\n<li>Lead high-impact initiatives that improve automation, observability, and self-service capabilities for engineers across the organization.</li>\n</ul>\n<ul>\n<li>Mentor and level up other engineers on the team, fostering a culture of technical excellence and continuous improvement.</li>\n</ul>\n<ul>\n<li>Collaborate across teams and with engineering leadership to identify systemic challenges in our delivery and quality processes and architect solutions to address them.</li>\n</ul>\n<ul>\n<li>Evolve our release architecture to support dbt Cloud&#39;s multi-cloud, cell-based infrastructure at scale.</li>\n</ul>\n<ul>\n<li>Establish best practices and standards for build pipelines, release workflows, code quality, and 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analysis, testing frameworks, or CI checks that help teams write better code.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to drive cross-team initiatives and influence engineering-wide practices and standards.</li>\n</ul>\n<ul>\n<li>Excellent communication skills , able to translate complex technical concepts for diverse audiences and lead through influence.</li>\n</ul>\n<ul>\n<li>Demonstrated interest or hands-on experience with AI-assisted development tools and practices, with a perspective on how AI can improve engineering productivity and code quality.</li>\n</ul>\n<ul>\n<li>Experience working asynchronously as part of a fully remote, distributed team.</li>\n</ul>\n<p>Preferred Qualifications</p>\n<ul>\n<li>Experience with Kargo or similar progressive delivery systems.</li>\n</ul>\n<ul>\n<li>Hands-on experience with multi-cloud architectures (AWS, GCP, Azure).</li>\n</ul>\n<ul>\n<li>Experience building code quality platforms, static analysis tooling, or testing infrastructure at 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Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence.</p>\n<p>Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability.</p>\n<p>Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025.</p>\n<p><strong>About the Role</strong></p>\n<p>As part of the Cluster Orchestration team, you will play a key role in advancing CoreWeave&#39;s orchestration platform including SUNK (Slurm on Kubernetes) and beyond, our Kubernetes-native foundation that powers AI training and inference at scale.</p>\n<p>This is an opportunity to help shape one of the most critical layers of the AI cloud: ensuring workloads run seamlessly, reliably, and efficiently across massive GPU clusters.</p>\n<p>By building the systems that eliminate infrastructure bottlenecks and create new orchestration capabilities, you will directly empower customers to innovate faster and push the boundaries of what&#39;s possible with AI.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<p>As a Staff Engineer, you will be a technical leader shaping the long-term strategy for CoreWeave&#39;s orchestration platform.</p>\n<p>You&#39;ll define architectural direction, own critical parts of the orchestration platform and other managed services, and drive cross-org initiatives in scheduling, quota enforcement, and scaling at hyperscale.</p>\n<p>You&#39;ll mentor senior engineers, establish org-wide best practices in reliability and observability, and ensure CoreWeave&#39;s orchestration layer evolves to meet the demands of next-generation AI workloads.</p>\n<p><strong>Who You Are</strong></p>\n<ul>\n<li>8+ years of software engineering experience.</li>\n</ul>\n<ul>\n<li>Proven track record designing and operating large-scale distributed systems in production.</li>\n</ul>\n<ul>\n<li>Deep expertise in Slurm/Kubernetes internals and cloud-native development.</li>\n</ul>\n<ul>\n<li>Advanced proficiency in Go and distributed systems design and cloud-native development.</li>\n</ul>\n<ul>\n<li>Experience setting technical direction and influencing cross-team architecture.</li>\n</ul>\n<ul>\n<li>Bachelor&#39;s or Master&#39;s degree in CS, EE, or related field.</li>\n</ul>\n<p><strong>Preferred</strong></p>\n<ul>\n<li>Familiarity with orchestration and workflow technologies such as Ray, Kubeflow, Kueue, Istio, Knative, or Argo Workflows</li>\n</ul>\n<ul>\n<li>Deep expertise in Slurm/Kubernetes internals.</li>\n</ul>\n<ul>\n<li>Experience with distributed workloads, GPU-based applications, or ML pipelines.</li>\n</ul>\n<ul>\n<li>Knowledge of scheduling concepts like quota enforcement, pre-emption, and scaling strategies.</li>\n</ul>\n<ul>\n<li>Exposure to reliability practices including SLOs, alarms, and post-incident reviews.</li>\n</ul>\n<ul>\n<li>Experience with AI infrastructure and workloads (ML training, inference, or HPC).</li>\n</ul>\n<ul>\n<li>Ability to mentor senior engineers and elevate organizational standards.</li>\n</ul>\n<p><strong>Why CoreWeave?</strong></p>\n<p>At CoreWeave, we work hard, have fun, and move fast! We&#39;re in an exciting stage of hyper-growth that you will not want to miss out on.</p>\n<p>We&#39;re not afraid of a little chaos, and we&#39;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</ul>\n<ul>\n<li>Act Like an Owner</li>\n</ul>\n<ul>\n<li>Empower Employees</li>\n</ul>\n<ul>\n<li>Deliver Best-in-Class Client Experiences</li>\n</ul>\n<ul>\n<li>Achieve More Together</li>\n</ul>\n<p>We support and encourage an entrepreneurial outlook and independent thinking.</p>\n<p>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.</p>\n<p>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><strong>Salary and Benefits</strong></p>\n<p>The base salary range for this role is $185,000 to $275,000.</p>\n<p>The starting salary will be determined based on job-related knowledge, skills, experience, and market location.</p>\n<p>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><strong>What We Offer</strong></p>\n<p>The range we&#39;ve posted represents the typical compensation range for this role.</p>\n<p>To determine actual compensation, we review the market rate for each candidate which can include a variety of factors.</p>\n<p>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 - 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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. The team builds and operates the foundational systems that power data ingestion, transformation, analytics, and internal AI workloads at scale.</p>\n<p>About the role:</p>\n<ul>\n<li>5+ years of experience in Site Reliability Engineering, Platform Engineering, or Infrastructure Engineering roles</li>\n<li>Deep expertise in Kubernetes and containerized software services, including cluster design, operations, and troubleshooting in production environments</li>\n<li>Strong experience building and operating CI/CD systems, including tools such as Argo CD and GitHub Actions</li>\n<li>Proven experience owning production systems with high availability requirements (≥99.99% uptime), including incident response, SLI/SLO/SLA definition, error budgets, and postmortems</li>\n<li>Hands-on experience designing and operating geo-replicated, multi-region, active-active systems, including traffic routing, failover strategies, and data consistency tradeoffs</li>\n<li>Strong experience building and owning observability components, including metrics, logging, and tracing (e.g., Prometheus, Grafana, OpenTelemetry).</li>\n<li>Experience with infrastructure as code (e.g., Helm, Terraform, Pulumi) and automated environment provisioning</li>\n<li>Strong understanding of system performance tuning, capacity planning, and resource optimization in distributed systems</li>\n<li>Experience implementing and operating security best practices in cloud-native environments (e.g., secrets management, network policies, vulnerability scanning)</li>\n</ul>\n<p>Preferred:</p>\n<ul>\n<li>Experience operating data platforms or data-intensive workloads (e.g., Spark, Airflow, Kafka, Flink)</li>\n<li>Familiarity with service mesh technologies (e.g., Istio, Linkerd)</li>\n<li>Experience working in regulated environments with compliance frameworks such as GDPR, SOC 2, HIPAA, or SOX</li>\n<li>Background in building internal developer platforms or self-service infrastructure</li>\n</ul>\n<p>Wondering if you’re a good fit?</p>\n<p>We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren’t a 100% skill or experience match.</p>\n<p>Here are a few qualities we’ve found compatible with our team. 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 and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship.</p>\n<p>If reasonable accommodation is needed, please contact: careers@coreweave.com.</p>\n<p>Export Control Compliance</p>\n<p>This position requires access to export controlled information.</p>\n<p>To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without restrictions, or (C) otherwise exempt from the export regulations.</p>\n<p>If you are not a U.S. person, you will be required to provide documentation of your eligibility to access the export controlled information before being considered for this position.</p>\n<p>Please note that CoreWeave is subject to the requirements of the U.S. Department of Commerce&#39;s Export Administration Regulations (EAR) and the U.S. Department of State&#39;s International Traffic in Arms Regulations (ITAR).</p>\n<p>By applying for this position, you acknowledge that you have read and understood the export control requirements and that you will comply with them.</p>\n<p>If you have any questions or concerns regarding the export control requirements, please contact: careers@coreweave.com.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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As a leader in aging care innovation, Honor provides technology, tools, and services that empower older adults to live life on their own terms. Our platform engineering team builds and manages the infrastructure &amp; core services that powers Honor&#39;s Care Platform. We&#39;re seeking someone with at least 6 years of professional experience in a platform engineering team within a product-centric company. You will be responsible for designing, implementing, and maintaining scalable distributed systems &amp; infrastructure. Your expertise should include cloud platforms, advanced software design patterns &amp; architecture, operations and automation, and containerization technologies like Kubernetes. You will be joining a small team of highly-skilled, enthusiastic, and passionate engineers with an opportunity to create an outsized impact in contributing to the future evolution of Honor&#39;s Care Platform.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and implement foundational patterns and libraries for Python applications, across a range of technologies from API services to event processing</li>\n<li>Utilize Infrastructure as Code (IaC) tools to ensure reproducible and scalable environment setups</li>\n<li>Design and implement infrastructure for applications hosted on AWS, supporting event-driven systems, containerized services on Kubernetes, and serverless functions</li>\n<li>Develop and maintain robust CI/CD pipelines using tools such as Jenkins, ArgoCD</li>\n<li>Have experience automating the lifecycle management of code from development through production, including code promotion and configuration management</li>\n<li>Instrument observability through tools such as CloudWatch and DataDog to monitor and optimize application performance across multiple environments</li>\n<li>Scale infrastructure to meet increasing demand while managing cost effectively</li>\n<li>Have experience defining, instrumenting and measuring standards for quality, security, scalability, and availability with a focus on delivering business value</li>\n<li>Have passion for delivering turn-key developer experience for local development</li>\n<li>Keen interest in developing talent through mentorship</li>\n<li>Strong written and verbal communication, tailored to a variety of audiences</li>\n<li>A strategic thinker with a product-first approach and customer obsession</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>At least 6 years of professional experience in a platform engineering team within a product-centric company</li>\n<li>Experience working with an RPC architecture</li>\n<li>Experience working at or having worked at a technology startup and familiar with the challenges of evolving platform maturity</li>\n<li>First-hand experience navigating multiple distributed architecture patterns</li>\n</ul>\n<p>Our range reflects the hiring range for this position. We use national average to determine pay as we are a remote first company. Individual pay is based on a number of factors including qualifications, skills, experience, education, and training. Base pay is just a part of our total rewards program. Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match. We provide medical, dental and vision coverage including zero cost plans for employees. Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option. We offer a generous time off program, mental health benefits, wellness program, and discount program.</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_a9d5360b-229","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Honor Technology","sameAs":"https://www.honortech.com/","logo":"https://logos.yubhub.co/honortech.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/honor/jobs/8297124002","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$200,700-$223,000 USD","x-skills-required":["cloud platforms","advanced software design patterns & architecture","operations and automation","containerization technologies like Kubernetes","Infrastructure as Code (IaC)","AWS","event-driven systems","serverless functions","CI/CD pipelines","Jenkins","ArgoCD","observability","CloudWatch","DataDog","quality","security","scalability","availability"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:50:55.286Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote Position"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"cloud platforms, advanced software design patterns & architecture, operations and automation, containerization technologies like Kubernetes, Infrastructure as Code (IaC), AWS, event-driven systems, serverless functions, CI/CD pipelines, Jenkins, ArgoCD, observability, CloudWatch, DataDog, quality, security, scalability, availability","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":200700,"maxValue":223000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_372999e8-579"},"title":"Senior Software Engineer II, AI Workload Orchestration","description":"<p>As a Senior Software Engineer II on the AI Workload Orchestration team, you will help build and operate CoreWeave&#39;s Kubernetes-native platform for admitting, scheduling, and operating AI workloads at scale.</p>\n<p>This platform integrates multiple orchestration and scheduling frameworks such as Kueue, Volcano, and Ray to support modern AI training and inference workflows. 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! 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We do. And it&#39;s this urge that drives us every day. Our environment of discovery and innovation means we&#39;re able to create deep and valuable relationships with our clients to create real change for them and their industries. It&#39;s what got us here – and it&#39;s what will make our future. At Quantexa, you&#39;ll experience autonomy and support in equal measures allowing you to form a career that matches your ambitions. 41% of our colleagues come from an ethnic or religious minority background. We speak over 20 languages across our 47 nationalities, creating a sense of belonging for all.</p>\n<p><strong>We&#39;re heading in one direction, the future. We&#39;d love you to join us.</strong></p>\n<p>At Quantexa we believe that people and organisations make better decisions when those decisions are put in context – we call this Contextual Decision Intelligence. 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This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising AI technology. You&#39;ll work directly with leadership to shape the company&#39;s direction in the AI market.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Member of Technical Staff, Software Engineer, you will design and build core platform services for scalable training and evaluation, including cluster orchestration, job scheduling, data and compute pipelines, and artifact management. You will standardize containerized workflows by maintaining Docker images, CI/CD, and runtime configurations; advocate for best practices in security, reproducibility, and cost efficiency. You will implement end-to-end observability and operations through metrics, tracing, logging, dashboard development, monitoring, and automated alerts for model training and platform health (using Prometheus, Grafana, OpenTelemetry). 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