Senior Infrastructure Engineer

Speechify builds text-to-speech tools that help over 50 million people convert written content, PDFs, books, Google Docs, news, and websites, into audio. Our products span iOS, Android, Mac, Chrome, and web. Recent recognition includes Chrome Extension of the Year from Google and Apple’s 2025 Design Award for Inclusivity. The company operates fully remote, with nearly 200 team members worldwide. The team includes frontend and backend engineers, AI researchers, and alumni from Stanford, Amazon, Microsoft, Google, Stripe, Vercel, and Bolt. Role overview This Software Engineer position sits within the AI team and focuses on data infrastructure and acquisition. The work centers on optimizing data collection and building large-scale, high-quality datasets to support model training. The team combines infrastructure, engineering, and research to deliver petabyte-scale data pipelines. What you will do Identify and integrate new audio data sources into the ingestion pipeline Manage and extend cloud infrastructure on Google Cloud Platform (GCP) using Terraform Collaborate with scientists to improve data quality, throughput, and cost-effectiveness for next-generation models Work with the AI team and company leadership to shape the strategic roadmap for datasets powering Speechify’s consumer and enterprise products Location This role is based in Dublin, Ireland. The team works fully remotely.

Join MongoDB as a Senior Security Software Engineer focused on enhancing our Infrastructure Security. You will play a crucial role in protecting our systems while working alongside talented individuals in a dynamic environment.

POS-22139This role can be Office/Hybrid/Remote based within IrelandHubSpot is leading the charge in empowering businesses through innovative AI technology, and our AI Infrastructure group is pivotal to this mission. We are on the lookout for a Staff Software Engineer who possesses a strong passion for infrastructure and enhancing developer experiences to become a vital member of our AI Serving team. This team is responsible for the end-to-end management of HubSpot’s model inference and serving infrastructure, ensuring that our AI models are deployed reliably, scaled efficiently, observed meticulously, and operated in a cost-effective manner across all hublets and environments. Moreover, this team is the home for modern Python practices at HubSpot.Our team oversees the serving frameworks and libraries that facilitate synchronous, asynchronous, and offline inference, as well as model deployment pipelines, autoscaling, and resource management for both GPU and CPU. Our roadmap is focused on enhancing the reliability and efficiency of batch inference, improving model observability, and scaling our AI infrastructure in a cost-effective manner. Additionally, we are the custodians of core Python libraries and tools across HubSpot.As a Staff Software Engineer on the AI Serving team, you will:Develop and deploy production code that directly powers AI functionalities across HubSpot, serving as a critical component for impactful user and business outcomes at scale.Lead the advancement of our model serving and inference infrastructure, enhancing reliability, scalability, and cost-efficiency.Establish the technical direction for deploying and operating ML models at scale, guiding architectural decisions, cost optimizations, and developer experience enhancements.Collaborate closely with Machine Learning Engineers, Product Software Engineers, and other Infrastructure teams to streamline model deployment and serving processes.Gain extensive insight into various HubSpot infrastructure systems by building and maintaining core Python libraries, offering an exceptional opportunity to understand HubSpot's inner workings.Work alongside HubSpotters across different functions including engineering, product, design, research, marketing, and sales, while gaining a broader understanding of how HubSpot operates as a business.Be empowered to express your authentic self and choose a work style and location that allows you to perform at your best, whether from home, in an office, or a combination of both.We are not solely seeking engineers with extensive experience; we value engineers who have demonstrated unique excellence, leadership, and the ability to elevate those around them.Our primary programming languages include Python and Java, but a variety of experiences are welcomed.

Join Contentful as a Senior Software Engineer specializing in Backend & Infrastructure, where you will play a pivotal role in architecting robust, scalable systems that empower our clients to deliver exceptional digital experiences. You will leverage your expertise to optimize backend systems and enhance our infrastructure, ensuring seamless integration and performance.

zerorisk is hiring an API Test Infrastructure Engineer in Dublin. This role combines elements of software engineering, quality assurance, and DevOps. The main responsibility: develop and support the infrastructure that enables teams to test APIs efficiently and at scale. Role overview The position centers on building platforms, tools, and workflows that help engineers create and execute reliable API tests. It also covers managing integrations with external tools and maintaining their reliability through automated API-level validation. What you will do Test infrastructure and platform Design and build automated API testing infrastructure for local, CI, and production-mirror environments. Maintain a shared library of reusable testing utilities, fixtures, helpers, and patterns for engineering teams. Lead efforts to containerize test environments using Docker and related tools to ensure consistent, reliable test runs. Integrate test infrastructure with CI/CD pipelines, including test reporting, alerting, and failure analysis workflows. Evaluate and introduce new tools, frameworks, or methodologies to improve the reliability, speed, and coverage of testing. External tool integrations and continuous validation Develop and maintain automated integration tests for third-party and external API-based tools used by zerorisk. Create monitoring and alerting systems to detect regressions or unexpected changes in external API behavior. Collaborate with internal teams to understand integration needs and translate them into automated, continuous testing scenarios.

At Klaviyo, we celebrate the diverse backgrounds, experiences, and perspectives that each team member—affectionately known as Klaviyos—brings to our dynamic workplace. We believe in equitable opportunities for success and value the unique insights that every individual contributes beyond standard job qualifications. If you find that your experience closely aligns with our needs, we encourage you to apply even if you don't meet every requirement. To discover more about life at Klaviyo, please visit klaviyo.com/careers to see how we empower creators to own their destinies.Team OverviewThe Infrastructure Security team ensures that engineers can effortlessly make secure choices while developing top-tier software at remarkable speeds. Security is integrated by default—creating a seamless experience that enhances both the engineers' workflow and Klaviyo's overall security posture.Our initiatives sit at the crossroads of security, infrastructure, and software engineering, as we design and build cloud-native platforms and services that are reliable, secure, and high-performing on a global scale—forming the essential backbone for all Klaviyo engineers.This position is ideal for engineers who are passionate about constructing modern distributed systems, prioritize security and reliability, and wish to make a significant impact within a large engineering organization.Your ImpactAs a Software Engineer on the Infrastructure Security team, you will design and maintain the systems that empower Klaviyo engineers to deliver secure software confidently. Your responsibilities will include:Architecting, developing, and maintaining cloud-native security services utilized throughout Klaviyo.Taking ownership of key components and services from initial implementation to production deployment.Enhancing the availability, scalability, latency, and efficiency of infrastructure security systems.Collaborating with senior engineers on system design and architecture, contributing innovative ideas and technical solutions.Identifying and addressing performance, reliability, and security concerns in distributed systems.Utilizing cutting-edge technologies such as Python, Golang, AWS, Kubernetes, Terraform, and modern data storage solutions.Actively engaging in design reviews, code reviews, and collaborative brainstorming sessions.

Role overview The Development Infrastructure Engineer position at AECOM in Dublin centers on supporting a variety of infrastructure projects. The focus is on delivering solutions that are both efficient and sustainable. Collaboration with colleagues from multiple disciplines is a key part of the role, ensuring that infrastructure systems meet current industry standards. What you will do Work alongside cross-functional teams to design, implement, and maintain infrastructure systems. Support ongoing efforts to enhance efficiency and sustainability in development practices. Contribute to projects where high standards in infrastructure delivery are expected.

Role Overview Toast, Inc. is hiring a Principal Infrastructure Engineer in Dublin, Ireland. This role focuses on designing and implementing infrastructure solutions that support scale, security, and reliability across the company’s systems. What You Will Do Design infrastructure to meet business and technical needs Implement solutions that support scalability and reliability Work closely with teams from different disciplines to deliver secure systems

Role overview The Infrastructure Project Engineer at AECOM will manage and deliver a range of infrastructure projects in Dublin. This position covers the entire project process, from early planning stages through to final completion. Key responsibilities Lead infrastructure projects through all phases, from concept to delivery. Coordinate with colleagues in various disciplines to align project activities. Track project progress, ensuring timelines and budgets are met. Uphold safety and quality standards throughout each stage of the project. Location This position is based in Dublin.

Intercom builds AI-powered customer service tools that help businesses deliver reliable, round-the-clock support. Our AI agent, Fin, and the Intercom Customer Service Suite combine automation with human expertise to handle millions of customer inquiries every month. Since 2011, nearly 30,000 businesses worldwide have chosen Intercom to raise their customer service standards. Role overview The Senior AI Infrastructure Engineer role focuses on developing and scaling the systems that train and deploy Intercom’s next generation of AI products. The AI Infrastructure team works across the stack, from GPU-level engineering up to the user-facing agents that power customer support. This team has built training pipelines and inference systems for models like Fin Apex, which are tailored for customer service and serve as the foundation for Intercom’s AI capabilities. What you will do Design and scale training pipelines for large transformer and LLM models, including data ingestion, preprocessing, distributed training, and evaluation. Build and improve inference services to ensure fast, reliable experiences for clients, covering auto-scaling, routing, and failover. Optimize GPU-level performance by tuning kernels, improving resource utilization, and identifying bottlenecks in training and inference workflows. Work closely with ML scientists to implement new training and inference techniques. What we’re looking for Strong experience with model training or large-scale model inference, and hands-on knowledge of low-level GPU programming (such as CUDA or Triton). Experience in more than one of these areas is especially valuable. Location This position is based in Dublin, Ireland.

AECOM is seeking a Senior Engineer to join the Development Infrastructure team in Dublin. This position plays a key role in delivering infrastructure projects that support community growth and urban development. Role overview This role involves leading a team of engineers and working closely with stakeholders to ensure successful project outcomes. The Senior Engineer will take responsibility for guiding projects from planning through completion, focusing on both technical quality and effective collaboration. What you will do Lead and mentor a team of engineers working on development infrastructure projects Coordinate with stakeholders at every stage of the project lifecycle Oversee project execution to ensure technical requirements and quality standards are met Apply technical expertise to address project challenges and deliver effective solutions

Join our dynamic team as a Senior Engineer specializing in Infrastructure Platforms. You will play a crucial role in shaping our infrastructure, enhancing our scalability and performance. Collaborate with cross-functional teams to design and implement robust systems that support our growing user base.As a Senior Engineer, you will be expected to leverage your extensive experience in software engineering, systems architecture, and cloud technologies to drive innovation within our infrastructure.

AECOM seeks a Principal Engineer focused on Development Infrastructure based in Dublin. This role leads teams through all stages of urban infrastructure projects, ensuring each phase moves smoothly from initial planning to final delivery. Role overview The Principal Engineer takes responsibility for guiding teams and managing projects that support urban development. Collaboration with professionals across various disciplines is central to delivering effective solutions. What you will do Lead infrastructure development projects from early planning to completion Ensure all project work aligns with industry standards and meets regulatory requirements Coordinate with experts from different backgrounds to achieve project goals

About Our TeamAt OpenAI, our Privacy Team is dedicated to creating a secure and trustworthy environment for all users. We oversee the privacy aspects of all OpenAI products and systems that interact with user data, providing our cross-functional partners with the essential tools to ensure compliance with the highest standards of data privacy and legal obligations. Our commitment to responsible data use is fundamental to our mission of safely advancing Artificial General Intelligence (AGI) for the benefit of society.About This RoleWe are actively seeking a passionate Software Engineer who has a solid background in building data pipelines and collaborating closely with legal teams. This position is ideal for individuals who are enthusiastic about the intersection of technology, privacy, and legal compliance. You will be responsible for designing, architecting, and developing backend systems that manage some of the most sensitive data at OpenAI.This role is based in Dublin, Ireland, and we operate on a hybrid work model, requiring three days in the office each week. We also provide relocation assistance to new hires.Key Responsibilities:Design, implement, and maintain backend systems that drive privacy and data compliance features across our API products and consumer applications.Collaborate with legal advisors and fellow engineers to address court orders and other legal requests, ensuring compliance with rigorous data privacy standards.Identify automation opportunities and develop tools that empower other teams to streamline tasks involving customer data.Establish and enforce data handling policies and procedures that align with legal and ethical standards, safeguarding user data integrity and confidentiality.You Will Excel in This Role If You:Have experience in creating data pipelines, particularly suited for legal processes and investigative workflows.Can effectively translate legal requirements into technical specifications and communicate these solutions to a non-technical audience.Are committed to taking ownership of challenges from start to finish and are willing to acquire any additional knowledge needed to succeed.Possess the skills to develop tools that enhance your workflow and that of your peers, especially when existing solutions fall short.Have a strong passion for user experience and take pride in developing products that uphold user privacy.

At Crusoe, our mission is to revolutionize how energy and intelligence come together. We are building the foundational technology that empowers a world where creativity with AI flourishes without compromising on scale, speed, or sustainability.Join us in leading the AI transformation with eco-friendly technology. At Crusoe, you will spearhead meaningful advancements, make a significant difference, and collaborate with a team dedicated to pioneering responsible and transformative cloud infrastructure.About This Role:As our Data Center Deployment Engineer, you will play a crucial role in designing and optimizing Crusoe’s operational computing environments. Your expertise will connect heavy infrastructure with high-performance computing, focusing on the critical whitespace where our servers, storage, and network equipment operate. Your contributions will directly support Crusoe’s vision of harmonizing the future of computing with climate needs by enhancing power distribution, cooling solutions, and equipment density, thus enabling the scale and energy efficiency of our sustainable cloud platform.You will be part of an innovative and collaborative team, leading the planning and execution of high-density layouts and modular infrastructure. We seek a technical problem-solver who excels at the intersection of mechanical, electrical, and network engineering. This full-time role is designed for a forward-thinking engineer eager to create the physical foundations of an ethical and sustainable digital ecosystem.What You’ll Be Working On:Whitespace Design & Planning: Create detailed whitespace layouts, including rack placements and aisle configurations, to optimize equipment density while ensuring ideal airflow and accessibility.Infrastructure Integration: Collaborate with Electrical and Mechanical teams to integrate power delivery and cooling systems seamlessly into the whitespace, supporting high-performance cloud workloads.Capacity & Growth Modeling: Craft advanced 3D models and capacity planning tools to forecast future utilization, ensuring our data centers are scalable and resilient (N+1, 2N).Connectivity Strategy: Work alongside Network and Cloud teams to strategize and implement structured cabling and fiber management systems that adhere to stringent performance and low-latency standards.Cross-Functional Leadership: Engage in design reviews and risk assessments, offering technical insights to internal stakeholders.

Join Crusoe Technologies as an Infrastructure Engineer, where you will be pivotal in designing, implementing, and maintaining robust infrastructure systems that support our innovative solutions. You will collaborate with cross-functional teams to ensure high availability and performance of our services.

About AnthropicAt Anthropic, we are on a mission to develop AI systems that are not only reliable and interpretable but also steerable. Our primary goal is to ensure that AI technology is safe and advantageous for all users and society at large. Our rapidly expanding team consists of dedicated researchers, engineers, policy experts, and business leaders, all working collaboratively to create beneficial AI solutions.Role OverviewAt Anthropic, we believe in the strength of collaboration. Our AI Reliability Engineering (AIRE) team plays a crucial role in maintaining the robustness of Claude, our flagship AI, ensuring it remains reliable for everyone who relies on it. We work closely with various teams within Anthropic to enhance reliability across our essential service paths—from the SDK, through our network, API layers, serving infrastructure, and accelerators, and back again. Our hands-on approach allows us to make impactful improvements during incidents and in collaborative projects.Reliability is an emergent quality that extends beyond individual teams. Our role involves taking a comprehensive view of the systems, offering a unique opportunity for dynamic, cross-functional engagement with the most critical aspects of our operations.

Join our Client Engagement Group at Squarespace, where we empower users to enhance their businesses through effective marketing strategies. Our platform enables the creation, targeting, and automation of marketing campaigns, ensuring that users can send timely messages to the right audience. We are seeking skilled Software Engineers to develop the robust systems that support campaign creation, audience management, and data segmentation. Collaborate with product managers, designers, and fellow engineers to deliver intuitive, reliable features that enhance user engagement. Your role will encompass the entire lifecycle of customer data, focusing on: Data Ingestion & Aggregation: Design and implement high-speed data pipelines to collect, combine, and analyze customer data from diverse internal and external sources. Insight Generation: Utilize the consolidated data to produce advanced analytics and derive comprehensive customer insights. Compliance & Security: Ensure that our data infrastructure adheres to stringent security protocols and regulatory compliance standards. Distribution & Access: Develop and maintain efficient APIs for distributing insights, enhancing CRM interfaces, internal reporting, and facilitating data-driven decisions for our clients. This is a hybrid role based in our Dublin office, offering a collaborative atmosphere with a high-performing team. Your Responsibilities Build: Create efficient data pipelines capable of processing millions of data points daily, ensuring low-latency data flow. Collaborate: Partner with product managers to translate strategic goals into impactful features for our user base. Plan: Engage in architectural discussions and design reviews, influencing the development of backend systems. Own: Take charge of features through their development lifecycle, from implementation to deployment and ongoing support.

At Manna, we’re revolutionizing delivery services by taking them to the skies. Our ambitious mission is to make high-speed delivery in suburban areas not only affordable but also environmentally friendly and safe. We design and manufacture our own aviation-grade drones, delivering food, groceries, coffee, and more directly from local vendors to customers’ doors within minutes.Our team embodies principles of Impact, Safety, and Authenticity. We believe that the best ideas come from collaborative team players who are passionate about their work. We move quickly, embrace a growth mindset, and are committed to continuous improvement in everything we do.If you’re eager to create technology that has a meaningful impact on the world—and enjoy a fun work environment while doing it—you’ll fit right in at Manna.Welcome to Manna — where we deliver the future.Role PurposeWe are seeking a Lead Data Engineer to evolve our data infrastructure. This role combines hands-on data engineering with the responsibility of managing our core data platform, utilizing Postgres and Snowflake. You will build scalable data pipelines, manage database performance, and enable analytics and AI applications across the organization. Collaborating with engineering, analytics, and leadership, you will help shape data architecture, enhance data quality, and meet our growing data needs.Key ResponsibilitiesOversee and manage production, development, and reporting Postgres databases.Develop and improve the data platform architecture across Postgres and Snowflake.Design, implement, and maintain scalable data pipelines from raw files and source systems.Optimize data models for analytics and reporting purposes.Ensure Snowflake performance and cost efficiency.Monitor and enhance Postgres performance (including query tuning, indexing, and scaling).Guarantee data platform security, access control, and governance.Establish and uphold data engineering standards, best practices, and documentation.Introduce monitoring, alerting, and observability across data systems.Collaborate with teams to understand and deliver on their data requirements.Support AI and advanced data use cases by managing high-quality datasets.Act as a key technical authority for data platform decisions and direction.