
Graphcore · Gdańsk
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 hyb...
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
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 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.
and leisure centres
contributions
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.
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.
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.
Salary Range: PLN 350,700 - 474,400 Subject to alignment to the responsibilities and duties of the role. Location: Gdańsk - Hybrid Working Policy - 2-3 Days per week in office ABOUT THE JOB Build the quality foundations for Kubernetes systems that power next-generation AI compute. As a Quality Assurance Engineer, you will validate the workload management stack for new AI accelerator hardware. You will help ensure our Kubernetes integrations are robust, scalable and ready for production. Your work will shape how accelerators are scheduled, orchestrated and used across distributed environments. You will test the systems that make complex AI compute infrastructure reliable for real users. You will design automated test suites, build system and integration tests, and improve CI/CD quality practices. You will also debug issues across Kubernetes, infrastructure and applications. This role is for someone who wants to raise engineering quality across a deeply technical platform. THE TEAM AND CULTURE You will join the Workload Management team, working closely with software engineers and infrastructure specialists. The work is hands-on, systems-focused and driven by clear technical ownership. Quality is built early here, not checked at the end. You will influence test strategy, validation plans and automation practices across the development lifecycle. The team moves through open technical discussion and evidence-based decisions. You will mentor others, speak up on risk and help turn complex systems into dependable products. WHAT WE’RE LOOKING FOR * Strong Python programming experience, with a focus on automation and test engineering * Hands-on experience with Robot Framework or similar automation frameworks * Experience testing cloud-native, containerised or distributed systems * Strong Linux understanding and confidence debugging across multiple system layers * Experience with CI/CD systems such as GitLab CI or GitHub Actions * Ability to define quality standards, improve test coverage and mentor other QA engineers 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. If you want to make next-generation AI compute more reliable at scale, we’d love to hear from you. Apply now to help build the future of AI compute.
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/
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Okta is The World’s Identity Company. We free everyone to safely use any technology - anywhere, on any device or app. Our Identity as a Service solution enables secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences. THE ENGINEERING OPPORTUNITY Okta's Workforce Identity Cloud (WIC) secures billions of global logins every day. The Resilience Team within WIC maximizes service availability by building foundational, high-scale systems. Our engineers solve complex distributed-systems challenges - from database proxies to traffic shaping - to ensure the platform remains trustworthy and reliable for every customer. We are seeking a Staff Back-End Software Engineer to lead technical initiatives and own the reliability of our expanding Identity as a Service platform. In this role, you will develop microservices, build innovative frameworks, and optimize our cloud-native environment. You will champion reliability during design phases and collaborate across teams to address technical gaps. We value iterative development, automated testing, and individual ownership. Join our creative, fast-paced team to work on impactful projects that are redefining the cloud computing landscape. JOB DUTIES AND RESPONSIBILITIES * Partner with engineering teams to design, develop, and deliver cloud-based infrastructure projects that solve complex reliability issues and help Okta’s service scale. * Design and implement robust backend frameworks, tools, microservices, and library components for the entire engineering organization to use at scale. * Champion innovative, scalable, and resilient solutions across the engineering organization, advising other teams on fault-tolerant system design. * Actively explore and integrate modern AI-driven developer tooling, automated diagnostics, and predictive monitoring capabilities to streamline performance testing, accelerate debugging, and optimize service reliability. * Conduct rigorous design and code reviews. Raise the engineering bar by implementing high-quality unit and functional tests to ensure robust programming standards. * Participate in and lead incident Root Cause Analysis (RCA) processes to continuously improve reliability, identify systemic weaknesses, and build long-term mitigation strategies. * Collaborate closely with Architects, QA, Product Owners, Engineering Services, and Tech Ops to deliver highly secure and dependable software. * Help with mentoring new engineering hires and interns. MINIMUM REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES * 8+ years of experience as a software developer with deep, expert-level knowledge of Java (Golang experience is a strong plus). * Demonstrated history of architecting, implementing, tuning, and debugging global cloud software. Deep understanding of microservices, cloud infrastructure (AWS preferred, Azure, or GCP), and modern container ecosystems (Docker, Kubernetes). * Proven track record of addressing scaling, redundancy, and performance bottlenecks in high-availability, multi-tenant SaaS environments. * Practical experience or strong interest in leveraging generative AI utilities and developer assistance tools (e.g., AI coding assistants, automated code-generation, intelligent log analytics, or predictive profiling tools) to drive development productivity and system optimization. * Outstanding communication and leadership skills with a proven ability to coordinate high-impact technical projects, manage stakeholder alignment, and influence technical direction. * Previous experience in a dedicated platform reliability, resilience, or core infrastructure role is highly valued. ***The employee must be either a U.S. citizen as defined in 42 U.S. Code § 9102; a natural person who is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3); or a U.S. national (i.e. includes citizens and non-citizens born in outlying possessions such as American Samoa and Swains Island), green card holders, refugees, and asylees. Working on a U.S. visa does NOT qualify as a U.S. person. EDUCATION AND TRAINING * B.S. or M.S. in Computer Science, a related field, or equivalent industry experience. #LI-Hybrid #LI-MA1 (P24485_3396786) Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us. The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $194,000—$243,000 USD The Okta Experience * Supporting Your Well-Being * Driving Social Impact * Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.