
Toast · Dublin
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers,...
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.
Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these
unprecedented times with technology, resources, and community. Our focus is on building the restaurant platform that helps
restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology
is purpose-built for restaurants, by restaurant people, restaurants can trust that we’ll deliver on their needs for today while
investing in experiences that will power their restaurant of the future.
As a Principal Infrastructure Engineer at Toast, you will lead the architecture of systems powering our developer ecosystem and
software delivery lifecycle. This includes platforms for code collaboration, service discovery, developer workflows, and CI/CD at
scale.
Toast has invested in a strong foundation of developer tooling and platforms. This role is an opportunity to build on that
foundation by connecting these systems into a unified intuitive experience, helping engineers move from ideation to production
with speed, clarity, and confidence.
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 pioneer how the internal developer
platform evolves, creating a future that empowers both humans and agents to achieve more.
A day in the life (Responsibilities)
(Backstage), engineering metadata, and CI/CD systems
to operate at scale
standards without direct authority
What you'll need to thrive (Requirements)
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
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.
ABOUT US PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. NOTE: WE ARE CURRENTLY RECRUITING FOR MULTIPLE POSITIONS, HOWEVER PLEASE ONLY APPLY FOR THE ROLE THAT BEST ALIGNS WITH YOUR SKILLSET AND CAREER GOALS. THE ROLE The Principal ML Infrastructure Engineer will extend and operate the infrastructure that powers our research model training, fine-tuning, and serving pipelines. You will be embedded within our Research function, partnering directly with ML engineers and research scientists to ensure they can train Large Physics Models efficiently and reliably at scale. TEAM CONTEXT In this role, you will be vertically embedded in Research, working daily with: * Research Scientists who determine the model architectures and methods * ML Engineers who implement and develop the models * Simulation Data Engineers who are accountable for upstream data pipelines You will have end-to-end responsibilities over the research infrastructure, with the autonomy to make architectural decisions and the responsibility to keep data flowing reliably. Horizontally, you will be part of an infrastructure engineering group responsible for infrastructure across the company. WHAT YOU WILL DO TRAINING INFRASTRUCTURE * Design and operate distributed training infrastructure for neural operator architectures (Transolver, Point Cloud Transformer, etc.) on our large NVIDIA DGX B200 platform. * Optimize training pipelines for throughput, fault tolerance, and cost efficiency, including checkpointing strategies, gradient accumulation, and multi-node synchronization. * Build and maintain experiment tracking and observability systems that give researchers clear visibility into training runs, hyperparameter sweeps, and model performance. DATA I/O AND PERFORMANCE * Solve data loading bottlenecks for large-scale mesh datasets. * Optimize data pipelines for efficient I/O from cloud storage, including prefetching, caching, and format optimization. * Work with heterogeneous data sources of varying formats and resolutions. MODEL SERVING AND DEPLOYMENT * Build serving infrastructure for pre-trained LPMs, supporting both zero-shot inference and uncertainty quantification (Monte Carlo Dropout). * Design and implement model packaging pipelines for customer deployment. Models must run reliably in customer environments with fine-tuning capabilities. * Ensure reproducibility: any model checkpoint should be deployable with consistent behaviour. PLATFORM AND TOOLING * Improve developer experience for the Research team with fast iteration cycles, reliable CI/CD, clear debugging tools. * Collaborate with the broader Infrastructure team on shared patterns and standards. WHAT YOU BRING TO THE TABLE * Ability to scope and effectively deliver projects, prioritising activity as needed. * Problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. * Excellent collaboration and communication skills, especially in a research setting. You can translate "the model isn't converging" into infrastructure hypotheses and solutions, and can bridge technical abstractions with implementations. * 5+ years of experience building and operating ML infrastructure at scale: * Deep expertise in distributed training: you've debugged NCCL hangs, optimized collective communication, and know when to use FSDP vs. DDP vs. pipeline parallelism * Strong systems fundamentals: Linux, networking (including domain specific NVLink and InfiniBand), storage I/O, profiling and performance optimization * Production experience with Kubernetes and SLURM for job orchestration on GPU clusters * Proficiency in Python and ML frameworks (PyTorch strongly preferred) * Experience with cloud GPU infrastructure; ideally CoreWeave or similar GPU/HPC-focused clouds IDEALLY * Experience with geometric deep learning or neural operators, ****architectures that operate on meshes, point clouds, or graphs * Background in HPC for simulation engineering, familiarity with how CFD/FEA workflows generate and consume data * Experience building model serving infrastructure with latency and throughput requirements * Familiarity with experiment tracking tools (Weights & Biases, MLflow) and observability stacks (Prometheus, Grafana) * Experience packaging models for deployment into customer environments (containers, model registries, versioning) What we offer Build what actually matters Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected. Sustainable pace, long-term ambition Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn’t stop there … 🚀 Equity options - share meaningfully in the company you’re helping to build. 🏦 10% employer pension contribution - because investing in future matters. 🍽️ Free office lunches - to keep you energised and focused. 👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. 🍼 YellowNest nursery scheme - to help working parents manage childcare costs. ☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. 🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind. 💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. 👀 Eye tests - because good work depends on good health. 📈 Personal development - dedicated support for learning, development, and leveling up over time. 💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. 🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener. 🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. 🔎 Watch this space, we’re continuing to build this as we grow… We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
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. Get to know Okta Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable 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. Join our team! We’re building a world where Identity belongs to you. The Engineering Opportunity We are seeking a Principal Site Reliability Engineer to serve as a technical leader for reliability engineering within Okta's Emerging Products Group (EPG). This role extends beyond operating production systems. You will define technical strategy, influence platform architecture, establish reliability standards, and lead transformational initiatives that improve scalability, resilience, security, and operational excellence for one of Okta's fastest-growing product areas. Initially, you will partner closely with the Spera / Identity Security Posture Management (ISPM) engineering organization to establish reliability strategy, operational excellence, and platform maturity. Over time, you will help drive broader reliability initiatives across EPG and contribute to the evolution of reliability engineering practices across multiple products including Workflows, IGA, PAM, and ISPM. You will work closely with engineering leadership, product leadership, architects, and Staff engineers to shape the future of Okta's cloud infrastructure and reliability practices. The ideal candidate combines deep technical expertise with strong organizational influence and has a proven track record of leading large-scale engineering initiatives that drive measurable business outcomes. What You'll Be Doing Reliability Strategy & Architecture * Define and drive the reliability strategy for critical product and platform services. * Establish standards for availability, resilience, observability, incident management, and operational readiness. * Lead architecture reviews for critical services and platform initiatives. * Partner with engineering leaders to ensure reliability objectives align with business priorities and customer expectations. * Create frameworks, standards, and operational guardrails that enable engineering teams to operate safely at scale. * Guide service architecture toward simplicity, scalability, resilience, and operational excellence. * Drive major initiatives that improve platform maturity and long-term sustainability. Product & Platform Leadership * Own reliability architecture and operational excellence for the Spera / ISPM product area. * Collaborate closely with engineering leadership to establish reliability objectives and technical roadmaps. * Lead large-scale scalability, resiliency, and performance initiatives. * Partner with platform and product engineering teams to build self-service operational capabilities that improve developer productivity while strengthening reliability and security. * Influence technical direction through data-driven recommendations, engineering expertise, and collaborative leadership. * Support highly available, large-scale cloud environments as part of an on-call rotation. ENGINEERING & AUTOMATION * Design, build, and operate large-scale cloud infrastructure and production services. * Develop software, automation, and infrastructure using Go, Python, Terraform, and related technologies. * Eliminate operational toil through automation, tooling, and platform engineering. * Improve deployment safety, operational workflows, and platform consistency through GitOps and Infrastructure-as-Code practices. * Collaborate on modernizing existing workloads and aligning them with evolving platform capabilities. * Lead complex engineering initiatives from conception through production rollout and long-term operational ownership. TECHNICAL LEADERSHIP * Mentor Staff and Senior engineers across multiple teams and organizations. * Lead technical reviews, design reviews, and operational readiness assessments. * Build engineering consensus across teams with differing priorities and objectives. * Help develop the next generation of technical leaders within Okta. * Drive adoption of reliability engineering best practices across EPG. * Share patterns, tooling, and operational practices across Workflows, Inbox, PAM, and ISPM teams. * Influence technical direction through expertise, collaboration, and execution rather than organizational authority. AI & AGENTIC OPERATIONS * Lead the exploration and adoption of AI-assisted reliability engineering practices across EPG. * Design and champion agentic systems that accelerate troubleshooting, incident response, root-cause analysis, and operational decision-making. * Evaluate emerging AI technologies and identify practical opportunities to improve reliability engineering workflows. * Establish best practices for safe, effective, and measurable use of AI within production operations. * Drive initiatives that reduce operational toil and improve engineering productivity through intelligent automation. OUR TECH STACK * Infrastructure/Orchestration: Kubernetes (EKS/GKE), Terraform, Helm, Git, ArgoCD, Gitops * Programming: Golang, Python * Observability: Datadog, Splunk * Data Stores: PostgreSQL, Redis, OpenSearch What We Are Looking For TECHNICAL EXCELLENCE * Extensive experience designing and operating large-scale production systems in AWS and/or GCP. * Deep expertise with Kubernetes in production environments. * Experience designing reliability strategies for Kubernetes-based platforms. * Strong expertise troubleshooting Kubernetes networking, storage, scheduling, scaling, and workload lifecycle challenges. * Extensive experience with Infrastructure as Code technologies such as Terraform and Helm. * Strong software engineering skills in Golang and/or Python. * Experience building internal platforms, developer tooling, and operational automation. * Deep understanding of distributed systems architecture and cloud-native application design. * Strong understanding of cloud networking fundamentals including DNS, service discovery, ingress, load balancing, TLS, traffic management, and multi-region architectures. * Experience operating and troubleshooting distributed data platforms such as PostgreSQL, Redis, OpenSearch, MySQL, Cassandra, or similar technologies. * Experience establishing observability standards, monitoring strategies, and operational best practices across engineering organizations. * Experience with or strong interest in AI-assisted engineering and operational automation. RELIABILITY & OPERATIONAL EXCELLENCE * Strong expertise operating customer-facing production systems at scale. * Deep understanding of reliability engineering principles including SLIs, SLOs, error budgets, capacity planning, and resilience engineering. * Experience leading major incident response efforts and driving long-term operational improvements. * Strong understanding of CI/CD, GitOps, deployment strategies, and automation-first operational practices. * Proven success driving large-scale reliability transformations and architectural modernization efforts. * Ability to balance reliability, scalability, security, customer experience, and engineering velocity. SECURITY & COMPLIANCE * Strong understanding of cloud security fundamentals, IAM, secrets management, and secure infrastructure design. * Experience operating systems within security-sensitive or regulated environments is a plus. * Familiarity with operational controls, compliance requirements, and security best practices in cloud-native environments. LEADERSHIP & INFLUENCE * Demonstrated success leading complex technical initiatives across multiple teams and organizations. * Demonstrated ability to drive technical strategy and influence engineering outcomes across multiple organizations and leadership teams. * Proven ability to influence technical direction without direct organizational authority. * Experience working effectively within globally distributed engineering organizations spanning multiple timezones and cultures. * Strong collaboration, communication, and stakeholder management skills. * Experience mentoring Staff engineers and helping develop future technical leaders. * Ability to translate business objectives into technical strategy and measurable reliability outcomes. * Experience working closely with engineering leadership, architects, and product leaders to drive organizational change. PREFERRED QUALIFICATIONS * Experience operating SaaS platforms serving millions of users. * Experience supporting globally distributed production environments. * Experience leading platform engineering or reliability transformation initiatives. * Experience implementing AI-assisted operational tooling, agentic workflows, or intelligent automation platforms. * Prior experience as a Staff, Principal, or equivalent senior technical leader in Site Reliability Engineering, Platform Engineering, Infrastructure Engineering, or Cloud Operations. #LI-Hybrid #P25309_3469886 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.
DEINE AUFGABEN As Principal SAP Infrastructure & Release Lead, you are responsible for the group-wide infrastructure, deployment and release governance of the Implico Group. You ensure that our product architectures are not only conceptually sound, but can also be delivered in a scalable, stable, and cost-efficient manner. You build the structural foundations for professional CI/CD processes, modern cloud infrastructures, and a controlled release organization. Your Responsibilities * SAP Release Management End-to-end release cycle governance using SAP ChaRM or SAP Cloud ALM across Private Cloud, Public Cloud, and SAP BTP landscapes Transport governance and landscape management across development, quality, and production environments Definition and ownership of quality gates, release readiness criteria, and environment strategies Cutover planning, go-live coordination, and post-release stabilization in close collaboration with Engineering and Architecture teams Group-wide standardization of release processes and governance frameworks aligned to the SAP release framework and Clean Core principles * CI/CD & Deployment Governance in a Hybrid Model Definition and introduction of group-wide CI/CD standards Design and further development of deployment architectures (SAP Private Cloud, Public Cloud, SAP BTP) and Clean-Core compliance * Cloud Infrastructure & Scalability Building scalable cloud infrastructures across all product lines Definition of monitoring, observability, and security standards in the delivery process Ensuring technical delivery capability in close coordination with Technical Architects * Cost & Platform Responsibility Active cloud cost management and transparency over infrastructure costs Establishing cost-conscious architecture and deployment principles Member of the Architecture Board with responsibility for the overall cost and delivery perspective * Building the Platform Engineering Team Contribute to the conception and progressive establishment of a scalable Platform Engineering structure Support the technical development and growth of DevOps capabilities within the Engineering organization Organizational Classification • Group-wide responsibility across all product lines • Principal-Level role • Member of the Architecture Board • Close collaboration with CTO, Enterprise Architects, Technical Architects and Director AI Engineering DEIN PROFIL Required • Proven hands-on experience in SAP Release Management — including end-to-end release cycle ownership, ChaRM or SAP Cloud ALM governance, transport management, and environment strategy • Experience building and operating modern cloud infrastructures within a SAP hybrid landscape (Private Cloud, Public Cloud, SAP BTP) • Solid understanding of CI/CD principles and deployment governance within a SAP environment • Strong understanding of cloud cost models and infrastructure optimization • Experience in standardizing and governing technical release processes at scale • High technical credibility and a structured, assertive working style Preferred • Experience with containerization and scalable deployment architectures (e.g. Docker, Kubernetes) • Background in building or growing a DevOps or Platform Engineering team • Familiarity with SAP Cloud ALM or successor tooling for release and operations management • Experience with CI/CD toolchains such as Jenkins, GitHub Actions, or ArgoCD Why This Role Matters You create the foundation for scalable product development without linear cost growth. Through stable releases, professional deployment structures, and active cost management, you sustainably improve the predictability, efficiency, and margin quality of the Implico Group.