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.

Toast

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. As a Staff Software Engineer on Traffic Engineering at Toast, you will design, build, and operate the traffic infrastructure that carries every request across Toast — from the public edge, through cloud networking, down to service-to-service routing. The team owns the systems that move traffic at Toast: edge and CDN, DNS, cloud networking, and the service mesh and control plane that route requests between services. Toast has invested in a strong foundation of networking and platform infrastructure. This role is an opportunity to build on that foundation by evolving how services connect, route, and secure traffic at scale — making the platform faster, safer, and easier for service owners to depend on. AI-assisted development is deeply embedded in engineering at Toast. The majority of engineers use AI tools daily, and AI agents participate in code review, build triage, and operational workflows. This is your chance to shape how the team's traffic platform evolves, building systems that empower both humans and agents to operate with speed and confidence.   A day in the life (Responsibilities)  * Design, build, deploy, and operate the traffic infrastructure that carries every request across Toast — from the public edge through cloud networking down to service-to-service traffic * Lead complex, multi-team projects that improve how Toast services discover, route to, secure, and observe one another * Own the reliability of critical traffic infrastructure end-to-end, from design through on-call response, post-incident learning, and long-term hardening * Design solutions that anticipate future scale and product needs (multi-region, new protocols, evolving service-mesh patterns) while making explicit tradeoffs * Partner with the team on cloud networking, edge routing (Cloudflare), DNS, and IaC-driven automation * Act as a force multiplier: mentor engineers, improve developer ergonomics for service owners, and make the platform easier and safer to operate * Lead through influence across multiple teams and reporting lines, setting technical direction and driving adoption of platform standards without direct authority * Leverage cutting-edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building — contributing to a culture of innovation and productivity across the team   What you'll need to thrive (Requirements) * Experience shipping and operating mission-critical production services * Led complex projects that span multiple teams and have presented technical plans to both engineering and non-engineering audiences * Have a growth mindset with an emphasis on improving yourself, the engineers around you, and your functional area * Deep, hands-on experience in Kotlin or another JVM language (Java, Scala) * Built or operated a service mesh in production — Envoy, Istio, Linkerd, Consul Connect, or similar * Managed cloud infrastructure with Infrastructure as Code (Terraform or similar) * Hands-on experience with DNS and edge routing through a CDN such as Cloudflare, Cloudfront, Akamai, or Fastly * Working knowledge of TLS — termination, mTLS, and certificate lifecycle management at scale * Comfortable working across the networking stack and are comfortable digging into different network layers   AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.   Our Total Rewards Philosophy  We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits. #LI-Remote The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy. Zone A $193,000—$309,000 USD Zone B $168,000—$269,000 USD Zone C $151,000—$242,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring Our Approach to Hybrid Working We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.