Senior Cloud Engineer (K8S)

Graphcore

About Graphcore  How often do you get the chance to build a technology that transforms the future of humanity?  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 a Senior Network 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 onour 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 networkingand 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    * Develop and operate high-performance ethernet infrastructure on our private 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 data from the network infrastructure 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, tune and operate the fleet of AI systems at peak performance in our private clouds.  * Work with external vendors of off-the-shelf switches, servers and storage solutions to integrate 3rd party products into our Cloud Reference Design, with a focus on network performance, automation and resilience.    Skills and Experience (all required)  * Bachelor's degree or equivalent practical experience in a relevant subject.  * Significant hands-on experience with 1 or more vendor’s high-end (100Gb/s+) ethernet switch solutions.  * Experience managing on-premises or private-cloud environments.   * Solid software engineering or IT experience with a proven track record of delivering technical output as an individual contributor.  * Experience working in an AGILE and SCRUM framework, including understanding of priorities, risks, issues, impacts and constraints.   * Strong proven Linux scripting ability (bash, python, awk, sed).  * 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.  * A solid hands-on understanding of the technologies underpinning cloud services (APIs, virtualisation of CPUs, IO, systems) and how they relate to high-performance networking.  * Experience with IAC automation tools (Terraform/OpenTofu, Ansible).  * Experience with container deployment and management tools (e.g. docker).  * Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki.   * Good communication and presentation skills, and experience dealing with end-users of IT services.  * An ability to work independently on critical infrastructure with minimal oversight, and with a focus on end-user availability.     Desirable but not required:  * Experience with Openstack cloud platforms.  * Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions.  * Experience with hardware offloading on RDMA-capable NICs and how that integrates with virtual networking on Open V-switch, KVM/QEMU.  * Experience with managing production Kubernetes clusters and workloads with an automation tool such as ArgoCD.    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

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 a Senior 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 * Develop and operate end-user services on our private 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 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.  * Work with external vendors of off-the-shelf switches, servers and storage solutions to 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 software engineering or IT experience with a proven track record of delivering technical output as an individual contributor.  * Experience managing on-premises or private-cloud environments.   * Experience working in an AGILE and SCRUM framework, including understanding of priorities, risks, issues, impacts and constraints.   * Strong proven Linux scripting ability (bash, python, awk, sed).  * 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.  * A solid hands-on 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 (Terraform/OpenTofu, Ansible, Packer).  * Experience with container deployment and management tools (e.g. docker).  * Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki.   * Good communication and presentation skills, and experience dealing with end-users of IT services.  * An ability to work independently on critical infrastructure with minimal oversight, and with a focus on end-user availability.    Desirable but not required:  * Experience with Openstack cloud platforms.  * Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions.  * Experience with managing production Kubernetes clusters and workloads.   * Programming experience with Python3 utilising classes and inheritance.  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.

Datadog

As a Cloud Security Engineer you will partner with different stakeholders across the organization to secure our cloud infrastructure. As part of the Platform Security organization we secure the building blocks of Datadog’s applications and infrastructure. We do this by building solutions to solve systemic risks and combine an approach of making the secure path easier and the insecure path harder to secure and accelerate the business.  We regularly partner with the most bleeding edge internal products and are working to solve and build solutions to enable our safe usage of AI. We also develop AI based solutions to enable security at scale. We are looking for a Service Mesh and Kubernetes focused security specialist to help round out an incredibly strong infrastructure security focused group. You will rotate through a variety of internal projects and gain deep exposure to Datadog’s infrastructure. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do:  * Solve our most challenging cloud infrastructure security problems starting with our core building blocks and golden paths. * Enable our engineers to build and ship secure solutions quickly. * Build and extend Datadog’s Platform Security solutions. * Leverage and influence the direction of Datadog’s products to secure our infrastructure, and provide internal feedback that enables our teams to improve the products for ourselves and our customers. Who You Are:  * You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent professional experience. * Passionate about advocating for and implementing solutions to complex problems, at-scale, in a large multi-cloud environment. * You don’t want to just provide security recommendations, you want to help implement solutions to solve systemic issues.  * You have prior experience in Software Engineering, Systems Engineering, Network Engineering, or Cloud Security. * You have experience developing, deploying, and extending service mesh systems  in production Kubernetes environments. * Software engineering background with hands-on code review experience; Go, Python, or Rust * Experience with one or more Kubernetes PKI & network technologies (Consul, Envoy, Cillium, Vault, Istio, etc.). * Experience with one of the major cloud providers (AWS, Azure, GCP) and Kubernetes. * Able to work both independently and collaboratively, willing to work in a fast paced, high growth environment. * You stay updated with modern security best practices, technologies and emerging threats. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.  Benefits and Growth:  * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Continuous professional development, product training, and career pathing * Intradepartmental mentor and buddy program for in-house networking * An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) * Access to Inclusion Talks, our Internal panel discussions * Free, global mental health benefits for employees and dependents age 6+ * Competitive global benefits Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $187,000—$240,000 USD ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.