Lead Platform Operations Engineer

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: At WPP, technology is at the heart of everything we do, and it is the Technology Operations teams mission, as part of Enterprise Technology , to enable our stakeholders to collaborate, create and thrive. Enterprise Technology is undergoing a significant transformation to modernise ways of working, shift to cloud and micro-service-based architectures, drive automation, digitise colleague and client experiences and deliver insight from WPP’s petabytes of data. This role will carry out the effective and efficient everyday technology operations for WPP ET. A trusted pair of hands to deal with level 1 and 2 issues as they present to the IT Service Desk and a trusted resource for Infrastructure and Management personnel to assist with project work when needed. The role will report into the Enterprise Technology Operations Lead and work closely with other teams within Enterprise Technology. What you'll be doing: Deliver world class, on-site support services to WPP employees, agencies, and visiting clients, operating within predefined structur

As a Staff Engineer on the Data Platform Experience team, you'll help shape how Datadog engineering teams build, operate, and evolve products on the Observability Data Platform. You'll lead the design and delivery of shared platform capabilities that reduce developer friction, improve operational visibility, and enable engineering teams to move faster with confidence. This role combines deep distributed systems expertise with technical leadership across multiple teams, influencing platform strategy while remaining hands-on in the code. You'll have the opportunity to solve company-wide challenges spanning cost intelligence, operational tooling, platform health, and developer experience. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead strategic engineering initiatives that improve how product teams build, operate, and evolve services on the Observability Data Platform. Design and build scalable platform capabilities for cost intelligence, including cloud cost allocation, trend analysis, and optimization recommendations. Develop operational intelligence and self-service tooling that helps engineering teams understand platform health, troubleshoot incidents, and improve operational efficiency. Drive reusable platform services and developer workflows that increase engineering autonomy while reducing operational complexity across multiple products. Provide technical leadership across teams by influencing architecture, mentoring engineers, and raising engineering standards through hands-on technical contributions. Participate in the team's on-call rotation and continuously improve platform reliability, observability, and operational excellence. Who You Are: You have experience designing and building large-scale SaaS or cloud platforms with deep expertise i

As a Staff Engineer on Datadog's Compute – Disruption and Workload Placement team, you'll help define how our Kubernetes fleet scales to meet the demands of rapidly growing AI and cloud-native workloads. You'll work on the systems that ensure engineering teams have the right compute capacity, in the right region, at the right time across AWS, Google Cloud, and Azure. This is a highly technical, high-impact role where you'll shape the future of capacity orchestration, influence platform architecture, and solve infrastructure challenges that directly support Datadog's continued growth. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead the technical direction of capacity management and workload placement for Datadog's Kubernetes platform spanning 100,000+ virtual machines across multiple cloud providers. Design and build systems that optimize how engineering workloads are scheduled and deployed across regions while balancing capacity constraints, reliability, and performance. Partner across infrastructure teams to evolve multi-region and multi-cloud capacity orchestration as Datadog continues to scale. Develop production software in Go to improve Kubernetes platform capabilities, automation, and operational efficiency. Use data and capacity signals to influence infrastructure decisions, forecast growth, and improve workload placement strategies. Who You Are: You have significant experience designing and operating large-scale Kubernetes-based infrastructure or platform systems. You are an experienced software engineer with strong programming skills, ideally in Go or a comparable systems programming language. You have hands-on experience with at least one major cloud provider (AWS, Google Cloud, or Azure) and understand distributed cloud infrastructure. Yo

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Software Engineer Overview Interested in building the next generation platform that empowers end-to-end marketing campaign management inclusive of audience targeting, campaign execution, and measurement? Our platforms operate at global scale, processing massive volumes of data and enabling data-driven marketing solutions across markets worldwide. The overarching goal of data-driven marketing is to deliver the right content, to the right person, at the right time. We are looking for individuals who are passionate about reimagining products, features, and services at scale while helping shape the future of digital marketing technology. If you wish to be part of this Priceless® experience, read below. The Marketing Services (MS) Technology team is looking for a Lead Software Development Engineer (Technical Lead) to provide technical ownership, with an emphasis on engineering efficiency, on-time delivery, innovation, and an outstanding experience for our customers. The ideal candidate is passionate about architecting and building highly available, large-scale platforms using modern engineering practices. You will work across technologies including Java, Spring Boot, React, GraphQL, Databricks, AWS, Spark, Hadoop, real-time data processing frameworks, and cloud-native architectures. Our teams leve

Application Performance Monitoring (APM) is one of Datadog’s premier products that helps developers see inside complex distributed systems. Our SDKs are both the delivery vehicle for APM and the platform on which all of Datadog’s service and app based products (e.g. Application Security Management, Profiling, Data Stream Monitoring…) are delivered. We believe our SDKs are one of our technical moats and are a key competitive advantage for APM and Datadog more broadly. They’re also open-source. Leading the evolution of our SDKs is a technically demanding and highly collaborative effort. You’ll work with language experts to deliver cutting-edge observability products across our 9 supported languages, with industry leading performance and a world class developer experience. You’ll rethink our SDKs’ architecture, APIs, data models, and protocol to meet Datadog’s current needs and scale, all while building in the open. And you’ll grow your team’s capacity by fostering a culture focused on customer needs, continuous learning, and innovation. We’re looking for an experienced Engineering Manager who cares as much about technical excellence as empowering other engineering teams. 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 Lead, grow, and develop a team of roughly 4-8 library engineers — coaching, giving direct feedback, and empowering senior ICs as technical leaders owning outcomes Own team delivery and productivity: planning, milestones, reviews Collaborate with Product teams to: Reshape and grow our platform capabilities to enable product teams Define and deliver industry leading, open-source, zero-touch APM instrumentation Stay technically close to the work — apply strong technical judgment, set a high standard for

We are looking for a Senior Software Engineer to help us take REDAPL, our Referential Data Platform, to the next level. REDAPL is Datadog's main platform for tracking our customers' infrastructure resources and relationships. The platform enables products where customers can understand, keep track of, and gain insights into their infrastructure related to performance, cost, security, and more. Many Datadog products use REDAPL today such Cloud Security Posture Management, Resource Catalog, Cloud Cost Management, and Service Catalog and others - REDAPL ingests more than 4.5mil updates/second. As a Senior Engineer, you will drive, lead and collaborate on projects both inside and outside the platform. You can expect to contribute to key technical decisions relating to our data ingestion, processing, and query pipelines. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Build a query engine that supports efficient relationship traversals for our most demanding workloads. Contribute to design and drive high-priority, high-visibility projects to increase the platform's value, resilience, and scalability across multiple teams. Lead and guide other engineers through architectural platform decisions Identify potential system risks and trends in reliability and design solutions to address them Provide input on prioritizing engineering-led initiatives in short- and long-term planning and roadmaps Collaborate with internal product teams to understand their requirements and how we plan for their product growth as they integrate and depend on REDAPL Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience You have worked extensively with multiple types of data stores. You have contribute