\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>This position includes a requirement to work from 9AM-3PM Eastern US, Monday to Friday. Your remaining work time is flexible.\u003C/strong>\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003C/p>\u003Ch2>\u003Cstrong>What you get to do:\u003C/strong>\u003C/h2>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Learn and build expertise across several software engineering disciplines, including:\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Kubernetes\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Cloud engineering\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Cloud networking\u003C/p>\u003C/li>\u003C/ul>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Gain exposure to the big picture; learn about product, engineering, customer relationship management, and more.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Spend up to 20% of your time on side projects that contribute to Astronomer’s overall success, such as contributing to the open-source Airflow repository or developing Astronomer’s internal monitoring and alerting systems built on Airflow.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Work on a modern, sophisticated, cloud-native product that customers use to connect to dozens of other systems. Gain depth and breadth of learning!\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Work directly with our customers’ data engineers, system admins, DevOps teams, and management.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Provide feedback from your experience that can shape the direction of Astronomer’s products\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Own the customer experience, working directly with customers to prioritize and solve issues and meet SLAs.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Participate remotely within a fully distributed team. Approximately 2-4 in-person events per year.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Help maintain 24x7 coverage through a specified 6-hour pager period during your work day.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Participate in paid on-call rotation for weekend coverage.\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003C/p>\u003Ch2>\u003Cstrong>What you bring to the role:\u003C/strong>\u003C/h2>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Motivation to learn\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Commitment to excellence\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Problem-solving and troubleshooting abilities\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Willingness to identify and own problems through the full lifecycle, from vague problem to delivered solution\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Excellent written and verbal communication for connecting with our customers over our ticketing system and through Zoom\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Demonstrable Linux familiarity\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">4 years of professional experience\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Experience with Kubernetes/Docker/Containers\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Experience with any major cloud provider (AWS, GCP, Azure)\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003C/p>\u003Ch2>\u003Cstrong>Bonus points if you have:\u003C/strong>\u003C/h2>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Previous experience working directly with customers (internal or external)\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Experience with DevOps\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Contributions to open-source projects\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Experience with Splunk or Prometheus\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003Cem>\u003Cstrong>The salary for this role is $140,000-$150,000, depending on experience level, along with an equity component.\u003C/strong>\u003C/em>\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003Cem>#LI-Remote\u003C/em>\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003C/p>\u003Cp style=\"min-height:1.5em\">At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Astronomer is a remote-first company.\u003C/p>","https://jobs.ashbyhq.com/astronomer/01afeadf-ae91-40ec-84d4-f1082a084c2d","Astronomer",{"id":767,"name":765,"urlSafeSlug":765,"logo":768},"79eb3d67-3f97-46aa-beca-e75a4bc9e760","lix4t9xeotpsufw7mosi",[770],{"city":17,"region":17,"country":16},"2025-09-05T07:16:32.428Z","Candidates should have 4 years of professional experience, demonstrable Linux familiarity, and experience with Kubernetes/Docker/Containers. Experience with any major cloud provider (AWS, GCP, Azure) is required, along with motivation to learn, commitment to excellence, problem-solving and troubleshooting abilities, and excellent written and verbal communication skills. Previous experience working directly with customers, experience with DevOps, contributions to open-source projects, and experience with Splunk or Prometheus are considered bonus points.","The Customer Reliability Engineer will operate, monitor, and maintain the platform to ensure availability, predictability, and reliable operations. They will learn and build expertise in Kubernetes, cloud engineering, and cloud networking, and work on a modern, cloud-native product. Responsibilities include creating strong relationships with customers, helping them achieve their reliability goals, providing feedback to shape product direction, owning the customer experience, prioritizing and solving issues, meeting SLAs, and participating in a pager rotation for 24x7 coverage. Up to 20% of time can be spent on side projects such as contributing to the open-source Airflow repository or developing internal monitoring and alerting systems.",{"employment":775,"compensation":777,"experience":778,"visaSponsorship":782,"location":783,"skills":784,"industries":791},{"type":776},{"id":106,"name":107,"description":275},{"minAnnualSalary":17,"maxAnnualSalary":17,"currency":17,"details":17},{"experienceLevels":779},[780,781],{"id":344,"name":345,"description":346},{"id":280,"name":281,"description":282},{"type":70},{"type":70},[118,288,290,289,785,786,787,788,789,790],"Apache Airflow","DataOps","Reliability Engineering","Infrastructure","Monitoring","Cloud Infrastructure",[792,794,795],{"id":75,"name":793},"Data Management",{"id":75,"name":287},{"id":75,"name":525},{"id":797,"title":308,"alternativeTitles":798,"slug":809,"jobPostId":797,"description":810,"isReformated":15,"applyUrl":811,"company":812,"companyOption":813,"locations":816,"listingDate":818,"listingSite":53,"isRemote":15,"requirements":819,"responsibilities":820,"status":18,"expiryDate":17,"isGoogleIndexed":56,"summary":821},"bdc2c2bd-b69c-420f-a0c6-3b87fa0dd729",[316,799,800,801,802,803,195,310,804,805,806,429,807,808,430],"Production Systems Engineer","DevOps Engineer (SRE Focus)","Kubernetes Engineer","Docker and Kubernetes Specialist","AI Infrastructure Engineer","Platform Reliability Engineer","Distributed Systems Engineer","AI Platform Engineer","Production Support Engineer (Cloud)","Site Operations Engineer","site-reliability-engineer-bdc2c2bd-b69c-420f-a0c6-3b87fa0dd729","# Job Description: Software Engineer, AI Infrastructure\n\n## Position Overview\n\nSuperblocks is seeking exceptional engineers to join our team in reimagining software development for a billion builders. Our mission is to empower every team to build, deploy, and manage AI-powered software with full control and flexibility. We are one of the fastest-growing AI startups, backed by top-tier investors and adopted by leading companies.\n\n## Why Join Us?\n\n* **Fast-growing AI startup:** Backed by top investors and adopted by companies like Instacart, Sofi, Betterment, and Carrier.\n* **Experienced team:** Our team comprises individuals from Uber, Stripe, Datadog, Confluent, Elastic, and Google, with experience founding/architecting systems like Kafka, Kibana, Debezium, and Datadog APM.\n* **Strong product adoption:** Our AI builder, Clark, has seen overwhelming response and strong enterprise adoption.\n* **Location:** Fully in-person at our NYC HQ near Union Square.\n* **Impactful work:** Play a key role in designing and developing core systems that power and manage hundreds of thousands of AI applications.\n\n## The Role\n\nYou will be instrumental in building and operating complex infrastructure in production, innovating new AI agent architectures, and collaborating with sharp engineers. This is an opportunity to build the core infrastructure powering the next billion AI-powered apps.\n\n## Responsibilities\n\n* Architect and operate scalable production systems supporting both multi-tenant cloud and on-premise deployments.\n* Design and develop a real-time distributed execution engine that powers all AI applications, workflows, and agents.\n* Build, deploy, and optimize AI agent architecture, guardrails, and evaluations.\n* Partner with product and customers to define the roadmap and bring new builder and AI experiences to life.\n\n## Requirements (Must Haves)\n\n* 3+ years of experience managing cloud-based production apps with deep knowledge of containers, VMs, caches, task queues, networking, and OS.\n* Proven experience designing and deploying infrastructure in production at scale with containerized solutions like Docker, Kubernetes (k8s), ECS/EKS, Firecracker, etc.\n* Strong product sense focused on great user experiences and strategic thinking to meet market and customer needs.\n\n## Nice to Haves\n\n* Experience building and operating production AI systems and familiarity with AI inference techniques.\n* Experience optimizing language runtimes and enabling cross-language integration (e.g., Go, Python, C), including customizing or building WASM compilers and runtimes.\n* Experience with machine learning algorithms, platforms, and frameworks like PyTorch and Tensorflow.\n\n## Compensation\n\n* **Base Salary:** $175,000–$225,000+ USD\n* **Equity:** Generous equity package\n* **Benefits:** Comprehensive benefits package\n* *Final compensation will be based on experience and skills.*\n\n## Application Instructions\n\nIf you're excited to build the core infrastructure powering the next billion AI-powered apps, let's talk.","https://job-boards.greenhouse.io/superblocks/jobs/4590741005","Superblocks",{"id":814,"name":812,"urlSafeSlug":812,"logo":815},"acc2963e-9005-491e-93dd-a3d97a87ca35","wrtdcmsm9s8uw56wksn3",[817],{"city":510,"region":510,"country":16},"2025-07-29T07:16:22.525Z","Candidates must have 3+ years of experience managing cloud-based production applications with deep knowledge of containers, VMs, caches, task queues, networking, and OS. They should have experience designing and deploying infrastructure in production at scale using containerized solutions like Docker, Kubernetes, ECS/EKS, or Firecracker. A strong product sense focused on great user experiences and strategic thinking to meet market and customer needs is also required. Experience building and operating production AI systems, optimizing language runtimes, enabling cross-language integration, and familiarity with machine learning algorithms, platforms, and frameworks are considered nice to have.","The Site Reliability Engineer will architect and operate scalable production systems for multi-tenant cloud and on-premise deployments. They will design and develop a real-time distributed execution engine for AI applications, workflows, and agents. Responsibilities also include building, deploying, and optimizing AI agent architecture, guardrails, and evaluations. The engineer will partner with product and customers to define the roadmap and develop new builder and AI experiences.",{"employment":822,"compensation":824,"experience":825,"visaSponsorship":828,"location":829,"skills":830,"industries":845},{"type":823},{"id":106,"name":107,"description":275},{"minAnnualSalary":17,"maxAnnualSalary":17,"currency":17,"details":17},{"experienceLevels":826},[827],{"id":344,"name":345,"description":346},{"type":70},{"type":18},[286,831,579,832,833,834,835,836,837,118,838,839,840,841,842,843,844],"Cloud-based production apps","VMs","Caches","Task Queues","Networking","OS","Docker","ECS/EKS","Firecracker","AI applications","Distributed systems","Infrastructure architecture","Product development","AI agent architecture",[846,848,849],{"id":75,"name":847},"AI",{"id":75,"name":525},{"id":422,"name":423},["Reactive",851],{"$ssite-config":852},{"env":853,"name":854,"url":855},"production","nuxt-app","https://jobo.world/",["Set"],["ShallowReactive",858],{"landing-page-remote-kubernetes-us":-1,"jobs-remote-kubernetes-us-1":-1},"/jobs/remote-kubernetes-us",{}]