Prometheus jobs

Senior Backend Engineer (Golang) Vilnius, Lithuania In the Global Bank tribe , we are building the infrastructure and core services needed to provide our merchants with a digital bank account that empowers them to be successful at doing what they love. Our goal is to become the most popular banking partner for small merchants globally by offering a high-quality banking experience tailored to their needs-effortless, simple, and affordable. Joining the Global Bank tribe means playing a key role in helping us build SumUp's digital bank. You'll collaborate with a global, autonomous, cross-functional team that refines an aspect of our product from concept to execution. Work alongside colleagues from 32 nationalities across Cologne, Berlin, São Paulo, Sofia, London and Vilnius, united by a shared commitment to taking ownership, working with purpose, and helping small businesses thrive. As a Senior Backend Engineer , you will play a key role in helping us transition from a localized setup with regional banks to a unified Global Bank. A significant challenge will involve supporting the move to a fully distributed, event-driven architecture. Our tech stack includes Go, AWS, Kafka, PostgreSQL, and Kubernetes, supported by a strong observability toolchain with Prometheus, Grafana, and Honeycomb. We also actively use AI‑assisted development tools such as Cursor, GitHub Copilot, and others. SumUp's engineering culture is built around ownership. We follow a “build it, run it, improve it” model, with strong observability and a focus on learning. Engineers have clear scope and autonomy, with decisions documented, reviewed, and made collaboratively.

Sr. Member of Technical Staff Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras Systems Inc. has multiple openings for Sr. Member of Technical Staff Title: Sr. Member of Technical Staff Job Duties: - Design and develop software features that support system resiliency and high availability, including automated recovery mechanisms and fault-tolerant architecture across distributed environments. - Develop and maintain cloud-based deployment workflows for AI inference software using AWS tools and services to support low-latency and scalable system performance. - Develop Python-based scripts and APIs to streamline data preprocessing, inference execution, and post-processing for real-time inference tasks. -

Backend Engineer San Francisco | OnSite Backend Engineer LiteLLM is the world's most popular AI Gateway, trusted by top companies like Adobe, Netflix, and NASA. Our platform empowers developers by providing secure, reliable access to LLMs and adjacent services, and we're looking for a Senior Backend Engineer to help us build rock-solid guardrails and observability tooling at scale. About The Role You'll focus on owning our guardrails and logging world-class. You will be in charge of the backend code that ensures all guardrail calls are consistently logged, errors are surfaced to users (not silently swallowed), and our observability instrumentation works for real-world, high-volume traffic. Your attention to detail in areas like latency metrics, logging traceability, and backend guardrail registration will directly impact user trust in our security and compliance features. Responsibilities - Build and scale our product, ensuring performance, reliability, and continuous improvement. - Ensure all guardrail and policy enforcement calls (e.g., applyguardrail) are properly logged and traceable through our SpendLogs and relevant database tables - Build and design CPU-level guardrails to cover common attacks on LLM API's / MCP servers / Agents - Identify and fix areas where silent failures occur in guardrail creation, registration, and policy application-ensuring robust error handling and transparency to end users - Work with observability integrations, including Datadog, Splunk, Prometheus, and OpenTelemetry, to maintain accurate, configurable, and usable monitoring and logging for backend systems - Enhance observability integrations to work for 1B+ requests/mo., with minimal latency overhead and no memory leaks (e.g. due to

Applied Scientist, Amazon Robotics R&D Berlin, Berlin, DEU The Amazon Robotics team is seeking an experienced Applied Scientist to join our team. In this role you will apply the latest trends in research to solve real-world problems in robotics and AI. You will collaborate with a team of scientists and engineers building these applications. We holistically design, build, and deliver end-to-end robotic systems. Our team is also responsible for core infrastructure and tools that serve as the backbone of our robotic applications, enabling roboticists, machine learning scientists, software engineers, and hardware engineers to collaborate and deploy systems in the field. Key job responsibilities • Research, design, implement and evaluate complex computer vision and decision making algorithms integrating across multiple disciplines and leveraging machine learning. • Create experiments and prototype implementations of new learning algorithms and prediction techniques. • Work closely with software engineering team members to drive scalable, real-time implementations. • Collaborate with machine learning and robotic controls experts to implement and deploy algorithms, such as machine learning models. • Collaborate closely with hardware engineering team members on developing systems from prototyping to production level. • Represent Amazon in academia community through publications and scientific presentations. • Work with stakeholders across hardware, science, and operations teams to iterate on systems design and implementation. Basic Qualifications: - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience in publishing at major robotics and related conferences (e.g. RSS, NIPS, ICRA, CVPR, CORL, ICCV)

Senior Site Reliability Engineer, APAC APAC | Remote About Ditto: Ditto is redefining how data moves at the edge. Our mission is to make it seamless for developers to build resilient, real-time applications, regardless of network conditions. Whether you're in a stadium, airplane, or remote military base, Ditto's peer-to-peer sync engine ensures devices stay connected and data stays consistent, even without internet. With more than $145 million in funding and trusted by organizations like Chick-fil-A, Delta Airlines, and the U.S. military, Ditto powers mission-critical experiences across aviation, retail, travel, hospitality, defense, and more. As a globally distributed, fast-growing startup, we're committed to building a diverse and inclusive team that reflects the wide range of perspectives needed to solve the world's hardest connectivity problems. About the position Ditto is at an inflection point. As we scale to meet the demands of our enterprise customers, we need experienced Site Reliability Engineers to ensure our infrastructure delivers enterprise-grade reliability. This is a unique opportunity to join a specialized team focused on observability, system reliability and operational excellence for our cutting-edge, edge-to-cloud, database technology. As a Site Reliability Engineer, you will play a crucial role in ensuring the reliability, performance, and scalability of Ditto's cloud infrastructure. You'll collaborate with product engineering teams to improve system resilience, lead and develop incident management processes and build observability solutions for our unique distributed architecture. As a Site Reliability Engineer, you will: - Develop and maintain observability solutions using platforms like Datadog, Prometheus and Grafana - Take a

Site Reliability Engineer (SRE) San Diego, United States of America The Video Computer Vision organization is working on exciting technologies for future Apple products. Our focus is on ML based solution around real time image and video. We have contributed to the FaceID and FaceKit project in the past and more recently the new LIDAR iPad sensor. We are looking for the right Site Reliability Engineer to help us take our efforts to the next level. In this role, you will help lead our cloud based infrastructure team for Apple's Video Computer Vision Organization. As a main contributor to our SRE team you will develop and maintain infrastructure, tooling, and engineering services for cloud based applications. You will be responsible for system bringup, deployment, reliability, security and service scalability. This role is highly cross-functional and you will work very closely with various highly skilled software development / ML teams developing cutting edge algorithms. Your core responsibility is to provide operational support of multiple cloud based applications with an emphasis on deployment, security, scalability and reliability running on AWS and Apple infrastructure. Our technologies include Terraform, Argo, Docker, Python, Postgres, Prometheus, in combination with custom Apple software and tooling. Common technologies you'll manage include: Kubernetes (eks), Elasticsearch, Redis, RDS, ELB, and other AWS based services. This role will also help drive solutions for hybrid infrastructure (on and off prem) and drive infrastructure architecture for our AWS based cloud platform. Minimum Qualifications: Experience building systems both on-premise (data center) and on public

Security & IT General Opportunities Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Team Our IT & Security team sits at the intersection of security, infrastructure, and cutting-edge AI systems. The team plays a critical role in ensuring Cerebras' environments are secure, reliable, scalable, and ready to support customers operating at the frontier of AI. We are looking for people who care deeply about operational excellence, security best practices, automation, and building systems that can support a rapidly growing organization. What You May Work On Depending on the role and team needs, you

Automation Engineer (Req#1278) India - Remote Overview We are looking for a passionate and self-motivated Automation Developer with hands-on experience with OpenShift and Kubernetes container platforms to Infrastructure Automation team. You will play a key role in building and maintaining automation frameworks, tools, and integrations using modern infrastructure-as-code practices. This is a hands-on opportunity for a driven engineer who thrives in a collaborative, fast-paced environment and is eager to grow their technical depth in DevOps and open-source technologies. Your Impact - Design, develop, and maintain automation scripts and playbooks using Ansible and Terraform - Develop and maintain integration tools and scripts using Python - Create and consume RESTful APIs to integrate systems and services - Contribute to open-source projects and maintain internal GitHub repositories - Collaborate with DevOps, platform, and development teams to implement CI/CD pipelines and automate operational processes - Troubleshoot automation failures and improve reliability, scalability, and performance of automation systems Qualifications Basic Qualifications: - Proficient in writing Ansible playbooks and using Terraform for infrastructure provisioning - Strong Python scripting skills, with experience in writing reusable and modular code - Experience working with RESTful API integrations - 3+ years of hands-on experience with Kubernetes and OpenShift in production environments - Familiarity with GitHub workflows, version control, and collaborative open-source development - Working knowledge of CI/CD and DevOps practices - Comfortable working in Linux-based environments Preferred Qualifications: - Experience with cloud platforms such as AWS, Azure, or GCP - Knowledge of monitoring, logging, and alerting tools (e.g., Prometheus, ELK,

Senior Avionics Hardware Engineer, Interplanetary Sciences Program Long Beach, California At Relativity Space, we're building rockets to serve today's needs and tomorrow's breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that's just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven't been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you're in propulsion, manufacturing, software, avionics, or a corporate function, you'll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we're writing together. Now is a unique moment in time where it's early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. About the Team: The Interplanetary Sciences Program was established to expand access to scientific exploration across our solar system. Its mission is to make planetary research faster, more affordable, and more capable than ever before by rethinking how science missions are

Senior Runtime Engineer Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role We are building the next generation of large-scale AI systems that power training and inference workloads at unprecedented scale and efficiency. You will design and develop high-performance distributed software that orchestrates massive compute and data pipelines across heterogeneous clusters. Your work will push the limits of concurrency, throughput, and scalability-enabling efficient execution of models at massive scale. This role sits at the intersection of systems engineering and machine learning performance, demanding both architectural depth and low-level implementation skills. You will help

Full Stack Software Engineer San Francisco, United States Overview Zelos is building the data platform for mission-critical systems, helping teams observe, control, and test their systems on a collaborative platform - from prototype to production. Founded by Tesla and Neuralink engineers, backed by YC and Human Capital. As a Full Stack Software Engineer, you'll be responsible for building up the cloud feature set. This is an opportunity to create scalable systems that bridge the gap between embedded devices, test systems, and collaborative engineering workflows. You'll enable teams to debug, develop, and manage physical systems at scale through innovative cloud solutions. What we're looking for - Strong proficiency in JavaScript/TypeScript, with frameworks like React - Proficiency with backend languages (Golang, Rust) for building scalable services - Proven track record working with cloud-native solutions on AWS, Azure, or GCP - Experience with modern build and deployment tooling (NixOS, Docker, Kubernetes) - Experience with time-series databases (InfluxDB, TimescaleDB) and visualization platforms (Grafana, Prometheus) What to expect You'll join a team of seasoned engineers building cutting-edge solutions for the next generation of connected systems. We value first-principles thinking, hands-on problem solving, and collaborative engineering. As a startup, you'll have significant influence over our technical direction and the opportunity to build systems that directly impact how teams develop and deploy mission-critical hardware. We understand that no one individual knows everything. We will all learn together and from each other. We strive to build a collaborative, enriching environment conducive to personal, technical, and career growth. Compensation

Staff Machine Learning Engineer – (ADAS/Autonomous Driving) Newark, CA Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility. We plan to lead in this new era of luxury electric by returning to the fundamentals of great design - where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience. Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we're providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you. About Lucid At Lucid, we are redefining the luxury electric vehicle experience, combining cutting-edge technology with exceptional design to deliver intuitive, safe, and exhilarating mobility. Join our team and help shape the future of autonomous driving. The Role We are seeking a Staff Software Engineer to lead the integration and deployment of advanced perception models into Lucid's production ADAS and autonomous driving systems. This role focuses on productizing ML models , ensuring robust performance on automotive-grade hardware, and building scalable pipelines for deployment and validation. You will collaborate with ML researchers, perception engineers,

Senior Software Engineer, ML Research Cambridge, MA USA Your Impact at LILA We're hiring a Senior Software Engineer to team with our Machine Learning Engineers and Researchers to build software that powers Lila's ML workflows and research tooling. You will be on a team of software engineers that work alongside machine learning experts to develop, support, and maintain Lila's ML libraries and tools. What You'll Be Building - Design and build high-performance, secure, and well-documented Machine Learning libraries that implement the algorithms designed by machine learning researchers and engineers. - CI/CD pipelines and integration tests for ML workflows. - Architect repository designs to follow consistent standards. - Support debugging, logging, and maintenance for Ray-based compute environments. - Data ingestion pipelines linking lab data to ML teams. What You'll Need to Succeed - Minimum of 8 years of experience writing software in a commercial setting in Go or Python. - Experience implementing scalable software solutions. - Experience with MLOps systems, GitOps (ArgoCD, Github Actions) - Familiarity with orchestration frameworks (Ray, Argo, Airflow). - Proficiency in Containerization, Kubernetes and infrastructure-as-code tools. - Acute listening skills and patience to deeply understand complex problems and algorithms. - Excellent problem-solving skills and team-first mentality. - Energetic self-starter and independent thinker with strong attention to detail. - Eager to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial, and technical setting. Bonus Points For - Proficiency with monitoring and logging tools (e.g., Prometheus, Grafana) - Research engineering or scientific software experience. Compensation We offer

ALTERNANT - Software IOT - F/H Rennes, France

Senior Backend Engineer - Accounts Sofia, Bulgaria In the Global Bank tribe , we're building the infrastructure to provide merchants with a digital business account that empowers them to manage their banking needs. Our goal is to become the most popular banking partner for small merchants globally with an effortless, simple, and affordable experience. You'll help us transition from fragmented regional setups to a unified global infrastructure, directly enabling millions of merchants worldwide to access seamless banking tailored to their needs. As a Senior Backend Engineer on the Global Accounts team, you'll own critical pieces of our bank account platform. You'll help us design and build a fully distributed, event-driven system designed to scale across regions with resilience and compliance built in. You'll work primarily in Kotlin, with opportunities in Elixir and Golang. We practice Extreme Programming: small iterations, daily deliveries, and a focus on technical design quality and deep problem understanding. Our tech stack includes Kotlin, Golang, Elixir, Java, AWS, Kafka, PostgreSQL, and Kubernetes, supported by observability tools like Prometheus, Grafana, and Honeycomb. We also use AI-assisted development tools including Cursor and GitHub Copilot. What You'll Do - Build critical infrastructure from scratch: Contribute to the design and implementation of a newly architected global accounts platform. You'll help migrate existing systems to a modern, event-driven, decoupled architecture that enables scalability and resilience across regions. - Master event-driven architecture: You'll be working extensively with Kafka to build a truly decoupled, resilient system. Event-driven architecture is essential to our goal of

OpenStack Engineer Singapore Key Responsibilities: • Design and implement OpenStack-based cloud solutions tailored to client requirements • Install, configure, and maintain OpenStack components (e.g., Nova, Neutron, Cinder, Swift) • Troubleshoot and resolve issues related to OpenStack deployments • Optimise OpenStack performance, scalability, and reliability • Implement security best practices and ensure compliance with industry standards • Automate OpenStack deployment and management processes • Collaborate with networking and storage teams to integrate OpenStack with existing infrastructure • Provide technical guidance and support to clients and internal teams • Stay current with OpenStack developments and contribute to the open-source community • Participate in on-call rotations for critical support Qualifications: • Bachelor's degree in computer science, Information Technology, or related field • 2+ years of experience working with OpenStack in production environments • Experience with OpenStack deployment tools (e.g., Ansible) • Proficiency in Linux system administration • Proficiency in scripting languages (e.g., Python, Bash) • Strong understanding of networking concepts (VLANs, SDN, load balancing) • Familiarity with containerisation technologies (Docker, Kubernetes) • Knowledge of storage systems and protocols (e.g., Ceph, iSCSI, NFS) • Preferred Skills: o OpenStack certification (e.g., COA - Certified OpenStack Administrator) o Experience with other cloud platforms (e.g., AWS, Azure, GCP) o Knowledge of CI/CD pipelines and DevOps practices o Familiarity with monitoring tools (e.g., Prometheus, Grafana) o Experience with database administration (e.g., MySQL, PostgreSQL) Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy

Forward Deployed Scientist Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You're a scientist on staff who works shoulder-to-shoulder with customers to help them design better proteins and get more out of every experiment. You sit between their design models and our lab: helping them scope a campaign, pick the right design approach for the problem, make sense of the data that comes back, and decide

DevOps Engineer Caesarea, Israel Cisco Silicon One is seeking DevOps Engineer Meet the Team Join the Cisco Silicon One team, where we are building a unified silicon architecture for web-scale and service provider networks. You will work in a multi-geography silicon organization that combines the energy and ownership of a startup with the scale and reach of Cisco. Our engineers collaborate across ASIC, hardware board, software infrastructure, IT, and lab teams to help deliver high-performance networking technology. This is a growth-driven environment for engineers who enjoy solving infrastructure problems that directly affect development velocity and operational excellence. Your Impact As a DevOps Infrastructure Engineer, you will help accelerate development by building, maintaining, and improving robust, scalable, and highly stable infrastructure. Your work across CI/CD automation, infrastructure as code, observability, databases, and system optimization will directly improve the speed and reliability of software delivery. You will make it easier for engineering teams to deploy, monitor, troubleshoot, and iterate while maintaining strong operational standards. Maintain and improve CI/CD pipelines using tools such as Jenkins and GitHub Actions, and support infrastructure as code workflows with Puppet and Ansible. Deploy, operate, and improve containerized services using Docker, Kubernetes, and related technologies. Develop and improve on-prem Linux images and infrastructure automation for data center and hybrid environments. Build and operate observability systems using Prometheus, Grafana, Zabbix, ELK/OpenSearch, and related tools. Design dashboards, alerts, and SLO/SLI frameworks that provide real-time visibility into pipelines, labs, and infrastructure. Develop data collection pipelines and exporters to ingest metrics, logs,

Security SWE Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a frontend engineer on our AI cloud, you will work on our customer-facing inference, training, and admin consoles and API experiences. In this role, you will be responsible for designing and building responsive, user-friendly frontend interfaces that provide an optimal experience for our developers, handling high traffic and throughput efficiently. Your familiarity with the latest web development frameworks and best practices, coupled with a keen eye for design and user experience, will drive team success. We're looking for talented software engineers

Robotics Engineer Hal Kirkop, Malta

Infrastructure Site Reliability Engineer Gloucestershire, United Kingdom About Radiant Radiant is redefining how AI infrastructure is built. We design and operate AI-native cloud platforms engineered for sovereignty, performance, and scale. Our infrastructure powers GPU-native workloads, multi-tenant control planes, and high-performance AI systems designed for the most demanding environments. We are not building a generic cloud. We are building purpose-built AI infrastructure - from powered land, to compute, to software . As we scale our platform and expand our engineering organisation, we are looking for leaders who can build strong teams, uphold high standards, and deliver reliably at pace. Job Summary: We're looking for an experienced Infrastructure Site Reliability Engineer to run and evolve our infrastructure stack. You'll contribute across bare-metal, virtualization, and orchestration layers, keeping things stable and secure 24/7 x 365 - all while mentoring teammates, improving process and automation as well as helping translate deep technical concepts for a wide range of collaborators and customers. What You'll Do : - Deploy and operate resilient, scalable infrastructure supporting AI/HPC workloads - Optimize Linux system configuration, BIOS/firmware, kernel, and disk subsystem for performance - Configure, monitor and manage bare-metal infrastructure using IPMI, Redfish, etc - Build and maintain automation scripts and infrastructure as code to support platform lifecycle, as well as simplifying troubleshooting for Incident resolution and provision of tooling for our support organisation - Apply ITSM frameworks: Incident, Major Incident, Change Management, and service improvement. - Maintain and enhance 's observability stack: Prometheus, Grafana, and custom monitoring integrations -

Senior Systems Engineer, OS Automation Livingston, NJ / New York City, NY/ Sunnyvale, CA/ Bellevue, WA CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. 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. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . About the Role: SysEng HAVOCK ( H ardware - A cceleration - V irtualization - O perating Systems - C ontainerization - K ernel) CoreWeave is looking for a Senior Systems Engineer who is ready to evolve beyond traditional DevOps. You will start by stabilizing and scaling our Linux OS and Kernel build pipelines. Once the foundation is set, you will lead the transition to AI-native infrastructure , building "smart" workflows that don't just report errors, but understand and fix them. You are a Systems Engineer at heart, but you are ready to apply LLMs, RAG, and predictive modeling to solve infrastructure challenges at scale. Our Team's Stack: - Languages: Python, Go, bash/sh - Observability: Prometheus, Victoria Metrics, Grafana - OS & Kernel: Linux Kernel (custom build), Ubuntu - Hardware: Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs - Containerization: Docker, Kubernetes (k8s), KubeVirt, containerd, kubelet Responsibilities: - Pipeline Architecture: Design, maintain, and automate reproducible OS image

Staff Mechanical Engineer (Mechanisms) Long Beach, California At Relativity Space, we're building rockets to serve today's needs and tomorrow's breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that's just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven't been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you're in propulsion, manufacturing, software, avionics, or a corporate function, you'll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we're writing together. Now is a unique moment in time where it's early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. About the Team: The Structures and Mechanisms team is responsible for the full design, build, and test lifecycle of Terran R's integrated structures and flight mechanisms. Whether you're working on highly iterative mechanisms that move or tight-margin structures that shouldn't, you'll get hands-on hardware

Senior Mechanical Engineer (Mechanisms) Long Beach, California At Relativity Space, we're building rockets to serve today's needs and tomorrow's breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that's just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven't been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you're in propulsion, manufacturing, software, avionics, or a corporate function, you'll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we're writing together. Now is a unique moment in time where it's early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. About the Team: The Structures and Mechanisms team is responsible for the full design, build, and test lifecycle of Terran R's integrated structures and flight mechanisms. Whether you're working on highly iterative mechanisms that move or tight-margin structures that shouldn't, you'll get hands-on hardware