Staff Cloud Engineer

Graphcore

About Graphcore  At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.    Job Summary   We are looking for an experiences Staff Engineer to join our Cloud Platform Team and help develop and deploy clouds and services. Working closely with our colleagues in Software Platform, Datacentre Operations and Product Development teams, you will deploy services on our fleet of cutting-edge AI systems. As part of our Software Platform organisation, you will be involved in the cloud integration, validation, performance benchmarking, optimisation, and development of our high-performance AI solutions.  These include in-house AI systems alongside off-the-shelf high-performance servers, switches and storage solutions.  This is a hand-on technical role requiring a solid background in the use of cloud infrastructure, deployment using Infrastructure-as-Code, observability, high-performance networking and storage systems.  You may have been working in an IT organisation, a datacentre, a cloud provider or as a developer of orchestration or cloud services.      The Software Platform team at Graphcore  We build Graphcore products into large-scale AI solutions for our customers and the Cloud Platform Team is responsible for providing such systems to both internal users via private clouds and customers via our own public clouds.  Often the internal systems will be using and developing pre-release hardware and software, so it’s vital you are comfortable with unproven components.    Responsibilities and Duties    * Operate and extend existing OpenStack-based cloud services and contribute to the deployment and development of new ones.  * Develop and operate end-user services on our clouds and support internal users in their use. You will turn end-user and product requirements into deployed services.  * Help to build automation to collect and analyse metrics and other observability data from the cloud services to support clear identification and reporting of any issues.  Work with users to provide information of any product-related issues to Engineering and QA departments.  * Work with our Datacentre Operations Engineers to maintain and operate the fleet of AI systems at peak performance in our private clouds.  * Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure-as-code in internal and external datacentres.  * Drive corrective actions for systems that are not operating correctly, working with DC operations and Graphcore Engineering as required.  * Work with external vendors of off-the-shelf switches, servers and storage solutions to specify, benchmark and integrate 3rd party products into our Cloud Reference Design.      Skills and Experience [ALL REQUIRED]  * Bachelor's degree or equivalent practical experience in a relevant subject.  * Solid infrastructure or IT experience with a proven track record of delivering technical output as an individual contributor.  * Experience managing or operating on-premises or private-cloud environments.   * Experience specifying, scoping, estimating and detailing work plans in an AGILE and SCRUM framework, including priorities, risks, issues, impacts and constraints.  * Strong proven Linux scripting ability (bash and python required).  * Strong proven Linux system administration (Ubuntu, RHEL and variants).  * Experience with a version control system (preferably Git) and using it to manage system configuration or automation.  * Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar.  * Hands-on experience deploying services into public or private clouds using Infrastructure-as-Code (IAC).  * A solid understanding of the technologies underpinning cloud services (APIs, virtualisation of CPUs, IO, systems), virtual networks, block storage, resource management and monitoring.  * Experience with IAC automation tools (e.g. Terraform/OpenTofu, Ansible, Packer).  * Experience with container deployment and management tools (e.g. docker, podman, apptainer).  * Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki, Mimir, OpenTelemetry, Fluentd ,Kafka  * Good communication and presentation skills, and experience dealing with end-users of IT or cloud services.  * An ability to work independently on critical infrastructure without oversight, and with a focus on end-user availability.     Desirable but not required:  * Experience with OpenStack deployments or the technologies they rely on (e.g. Ceph, Open vSwitch, KVM, QEMU ).   * Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions.  * Strong skillset and experience in end-to-end deployment automation and CI of containerised services. Complete automation of pipelines for build, test, deploy, manage, alert, destroy, rebuild.  * Experience with managing production Kubernetes clusters and workloads.   * Experience with workload queue management systems (SLURM, LSF, Kueue).   * Experience with managed switch configuration (e.g. EOS, SONiC, DNOS).   * Programming experience with Python3 utilising classes and inheritance.  * Programming experience with Go.    Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.   Sponsorship Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.

Graphcore

Salary Range: PLN 350,700- 474,400 Subject to alignment to the responsibilities and duties of the role. Location: Gdańsk - Candidates must be local due to hybrid working policy ABOUT THE JOB Make AI accelerator hardware feel native inside Kubernetes clusters. As a Staff Cloud Software Engineer, you will build Go services that connect accelerator hardware with Kubernetes. You will own software components that turn complex compute capability into a usable platform experience. Your work will shape how AI workloads discover, access and scale across cluster infrastructure. That means designing production services where reliability, performance and observability are part of the architecture. You will build CRDs, operators and Kubernetes components for ML and platform teams. You will partner with hardware, cloud and ML engineers on design choices and roadmap priorities. This is a senior IC role with room to set direction. You will mentor engineers, raise code quality and help define how Graphcore delivers cloud-native AI compute. THE TEAM AND CULTURE The Workload Management team sits between Kubernetes, cloud platforms and accelerator hardware. Work moves from architecture to implementation, review and production readiness without losing system context. You will be trusted to own technical areas, challenge assumptions and move important work forward. The pace is driven by clear priorities, fast feedback and strong engineering judgement. Decisions are made through evidence, prototypes and direct technical discussion. Engineers are expected to speak up early, share trade-offs and help the team learn quickly. WHAT WE’RE LOOKING FOR * Strong Go engineering experience, with significant experience delivering complex production software * Deep Kubernetes architecture knowledge, including CRDs, operators and cloud-native integration patterns * Solid Linux understanding, with the ability to debug issues across distributed systems * Experience leading technical initiatives and mentoring engineers through design, review and delivery * Ability to improve code quality, observability, automation and developer experience * Clear C1-level English communication, with confidence working across hardware, cloud and ML teams BENEFITS * Flexible working: Balance your work and personal life with greater flexibility * Comprehensive healthcare and dental cover: Premium medical and dental insurance, with the option to extend cover to your family * Phantom equity: Share in Graphcore’s success * Fitness and wellbeing support: A fully funded Medicover gym card, giving you access to a wide range of gyms, fitness classes and leisure centres * Financial protection: Death and disability insurance, providing financial security for you and your loved ones * Retirement savings: Build your financial future, with a 4% employer contribution from Graphcore, alongside your own contributions * Employee Assistance Programme (EAP): Confidential advice and support for you and your family across a range of personal, financial and wellbeing matters We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. SPONSORSHIP Applicants must have the legal right to work in Poland. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. JOIN THE TEAM AT GRAPHCORE Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. Ready to make Kubernetes the natural home for new AI accelerator hardware? Apply now to join Graphcore.

Coupang

Company Introduction   We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.    We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.   Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional trade-offs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.     Role Overview As a Staff Data Centre Observability and Site Reliability Engineer, you will own the design and operation of scalable observability platforms to ensure the reliability, performance, and availability of datacentre services. You will apply SRE best practices, automation, and performance optimization to deliver resilient infrastructure. This role partners closely with engineering teams and vendors to drive operational excellence while maintaining security and compliance standards. What You Will Do Observability and Monitoring: • Design, implement, and maintain observability solutions for datacentre infrastructure. • Develop, deploy, and maintain the operational and reliability components of a large-scale Observability and Telemetry collection platform, emphasizing performance at scale, real-time monitoring, logging, and alerting. • Participate in and enhance the entire lifecycle of services, from inception and design to deployment, operation, and refinement. • Develop and optimize monitoring systems to ensure high availability and performance. • Create and manage dashboards, alerts, and reports to provide visibility into system health and performance. Site Reliability Engineering (SRE): • Implement SRE best practices to improve the reliability, scalability, and performance of datacentre services. • Develop and maintain automation scripts for infrastructure provisioning, monitoring, and management. • Conduct root cause analysis and post-mortem reviews to prevent recurrence of incidents. Performance Optimization: • Analyze and optimize the performance of datacentre systems and applications. • Implement best practices for resource utilization and efficiency. Collaboration: • Work closely with other engineering teams to understand and meet their observability and reliability requirements. • Collaborate with hardware and software vendors to evaluate and integrate new technologies. Security and Compliance: • Ensure that observability and reliability solutions comply with security policies and industry standards. • Implement and maintain security measures to protect data and infrastructure. Troubleshooting and Support: • Provide support for observability and reliability-related issues, including debugging and resolving hardware and software problems. • Develop and maintain documentation for troubleshooting procedures and best practices. Continuous Improvement: • Stay updated with the latest advancements in observability and SRE technologies and integrate them into the infrastructure. • Continuously improve the reliability, scalability, and performance of datacentre services.   Basic Qualifications * Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.  * Experience: 8–12 years of progressive software engineering experience, with a heavy emphasis on distributed systems, cloud-native architectures, or platform operations.  * Programming: Strong proficiency in Go or Python, with a deep understanding of networked systems and performance optimization.  * Orchestration: Expert-level knowledge of Kubernetes internals (scheduling, controllers) and containerization ecosystems.  * Traffic Management: Proven experience with load balancing, service mesh, and request routing at scale.  * Operational Excellence: A strong "ownership" mindset with a track record of maintaining mission-critical, high-availability systems in production.    Preferred Qualifications * AI/ML Domain Knowledge: Prior experience building infrastructure specifically for LLM inference or large-scale training clusters.  * Low-Level Optimization: Familiarity with inference, including mixed precision, kernel tuning, or custom hardware accelerators.  * Public/Private Cloud: Experience managing hybrid-cloud or multi-AZ deployments across AWS, Azure, or GCP.  * Compliance: Experience operating in regulated environments with strict security and compliance requirements.  Type of work model  * Hybrid Details to consider  * Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.    Privacy Notice   * Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/