Infrastructure Operations Analyst Jobs

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: The Technology Risk & Controls Analyst operates as part of the second line Technology Risk & Controls function, working under the direction of the Technology Risk & Controls Manager, Tech Ops. The role supports the delivery of independent assurance over Technology Operations control environments, including infrastructure, cloud platforms, identity and access management, service management and core operational processes. The role is focused on executing high-quality control testing, audit support and remediation assurance activities in line with WPP standards and methodologies. The Analyst works closely with Technology Operations teams, Financial Risk & Control colleagues and auditors to evidence control performance, support audit readiness (including SOX 404) and contribute to a consistent, well-documented and sustainable control environment. What you'll be doing: Perform control design and operating effectiveness testing across Technology Operations processes, including change management, access management, incident/problem management, backup and resilience controls,

Banking hasn't changed much in decades. We're changing that. One product at a time. Lunar is a Nordic challenger bank building the future of financial life with AI at the core. Our engineers, designers, and product people work on problems that actually matter. Making money simpler, smarter, and more rewarding for millions of people across the Nordics. Fully licensed and founded in 2015, with offices in Copenhagen, Aarhus and Stockholm. We move fast, we build with purpose, and we're just getting started. As our new Data Platform Engineer you'll join the Squad Matrix team based in Copenhagen, reporting to Jesper, working to build Lunar's self-service analytical data platform, Hubble. What will you do? Build product-grade Flink streaming ingestion pipelines, working with cutting-edge streamhouse technologies (Paimon, Iceberg, Fluss, StarRocks) to move data in real time. Own end-to-end projects that add new capabilities or fix issues across our data stack, from ingestion through to the warehouse. Ensure consistent, reliable daily operations of our data warehouse — the foundation other teams build on every day. Provision cloud infrastructure with Terraform and run services in Kubernetes, keeping the platform deployable and dependable. Support stakeholders across the business with data requests, and use agentic workflows to scale your impact. What are we looking for in you? Experience in data engineering, with a track record of owning platform-level systems, not just pipelines. Experience with stream data processing using Flink, Spark, or similar. Experience with cloud infrastructure (AWS, GCP, or similar), and comfort making architectural trade-offs. Programming experience in one or more of Golang, Scala, or Python, plus solid SQL. Ability to work closely with non-engineering stakeholders, translating platform capabilities into something analysts can actually use. Benefits and perks 4 days in the office. We're a team that builds together, thinks together, and moves toget

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: The Technology Risk & Controls Analyst operates as part of the second line Technology Risk & Controls function, working under the direction of the Technology Risk & Controls Manager, Tech Ops. The role supports the delivery of independent assurance over Technology Operations control environments, including infrastructure, cloud platforms, identity and access management, service management and core operational processes. The role is focused on executing high-quality control testing, audit support and remediation assurance activities in line with WPP standards and methodologies. The Analyst works closely with Technology Operations teams, Financial Risk & Control colleagues and auditors to evidence control performance, support audit readiness (including SOX 404) and contribute to a consistent, well-documented and sustainable control environment. What you'll be doing: • Perform control design and operating effectiveness testing across Technology Operations processes, including change management, access management, incident/problem management, backup and resil

The Team + The Role Pendo is rebuilding for the AI era, with new products, new buyers, and new ways to deliver value to customers. The Customer Growth and Lifecycle function sits at the center of that shift, helping turn customer engagement into a deliberate, repeatable, compounding growth motion. This team connects product usage, customer behavior, experimentation, and lifecycle programs to help customers get more value from Pendo. As Director, Customer Growth & Lifecycle, you will own the lifecycle motion from first login to fully embedded power user. You will design the experiments, programs, and data-driven interventions that make engagement intentional rather than accidental, using Pendo’s own platform and analytics to understand what moves adoption, retention, and expansion. You will also lead a team of approximately five Adoption Managers and Pendo’s Center of Excellence / Product Operations function. This is a role based in-office in Raleigh or New York, or Remote in the East Coast. What this looks like day-to-day Customer lifecycle ownership: Build, iterate, and optimize the full digital customer journey from onboarding through expansion. You will start with functional lifecycle infrastructure and make it more measurable, scalable, and compounding. Behavior-to-action strategy: Use Pendo’s own analytics to identify where users find value, where they drop off, and which interventions move the needle. You will scope and prove your own work rather than waiting on an analyst to define the opportunity. Scaled Pendo-on-Pendo execution: Act as one of Pendo’s most important internal practitioners of the product. Design and ship cross-channel experiments across in-app guides, email, NPS, segmentation, and other lifecycle channels that show customers what great product engagement looks like. Roadmap influence: Bring front-line visibility into customer behavior directly into product conversations. Your insights will help shape feature decisions and improve how Pend

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft Urban Solutions (LUS) is North America’s leader in micromobility. We own, operate, or provide hardware and software solutions for bikeshare and scootershare programs in 50+ global markets including Montreal, Toronto, London, New York City, Mexico City and others. Our rapidly growing active fleet includes state-of-the-art charging stations, electric bikes, and scooters, and services hundreds of millions of rides per year. Data and analytics are at the heart of Lyft's products and decision-making. You will play a key role in shaping the future of bikeshare by leveraging data to improve the performance of our bikeshare and scooter markets. A successful candidate thrives in a dynamic and collaborative environment, has a natural curiosity, and isn’t afraid to dive deep. In this role, you will collaborate closely with Operations, Policy, Engineering, Product and Finance teams to drive data-informed strategies that align our operations and products with city transportation goals and user needs. You will work in a fast-paced environment where analytical insights directly impact decisions ranging from pricing and product features to long-term investments in bikesharing infrastructure. We’re looking for a passionate and driven Data Analyst to tackle some of the most complex and impactful challenges in micromobility. If you’re excited about shaping the future of urban mobility through data, we’d love to hear from you. Responsibilities: Partner with Product, Engineering, Policy, Operations, Finance and other cross-functional stakeholders on initiatives to conduct deep-dive analyses to root cause issues and propose solutions Develop frameworks, business logic and scalable processes to streamline reporting and drive decision-making Forecast operational requirements and investments needed to

As Zoox embarks on expanding our fleet of robotaxis, the development of the infrastructure to support our fleet will continue to be a critical first step in expansion. In the role of Senior Real Estate Capacity & Topology Planner, you will be responsible for accurately modeling and tracking capacity needs for all new and expanded service markets. The candidate will need to be highly analytical with the ability to condense inputs from multiple sources in order to develop a consolidated model of future capacity needs. In this role, you will: Maintain an understanding of Zoox’s current deployed fleet as well as future projected growth Act as the primary planner and tracker for Zoox Service & Maintenance location and capacity planning Work in conjunction with Zoox Strategy, Go-To-Market, and Fleet Operations Teams to define and update long-term capacity requirements. Develop robust models to clearly evaluate and communicate capacity requirements to stakeholders and leadership Track high-level progress of all Operations Infrastructure projects to confirm alignment against anticipated fleet sizing, flagging misalignments or risks to leadership Work with Zoox Operations teams to continually evaluate and refine capacity ratio targets against projected fleet counts Make recommendations to Capital Projects team on sizing, scope, and location of future projects Help prioritize projects based on balancing short and long-term company milestones Qualifications Bachelor's degree in Business Administration or other related degree Minimum of 8 years experience in a capacity planning or operations analytics-related field Ability to create robust and dynamic models in excel, Google Sheets or other software programs Ability to navigate through ambiguity and consolidate multiple data points into a single model Ability to create professional, e

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. The role This is a foundational role on Sierra's Operations team, sitting at the intersection of marketing and GTM. As Marketing Operations and Analytics Lead, you'll own two things: the measurement infrastructure that connects marketing programs to pipeline and revenue; and the operational processes that make the marketing engine run efficiently and at scale. What you'll do Full-funnel attribution: Design and own Sierra's marketing attribution framework, connecting campaigns, events, content, and demand gen programs to pipeline generation and ultimately LTC conversions. Pipeline analytics: Partner with Marketing and Sales to analyze pipegen by vertical, region, and segment. Track conversion rates at each stage and surface where marketing programs are—and a

We are looking for an experienced and proactive Infrastructure Support Engineer to provide technical support and administration across our cloud and on-prem IT environments. This role combines infrastructure operations, technical support, and platform administration, delivering specialised technical assistance to our company employees, including quantitative researchers, developers, and business teams across the Americas (GMT-3 to GMT-6) or Asia-Pacific (GMT+7 to GMT+9) time zones. The ideal candidate will have hands-on experience with AWS infrastructure, enterprise platforms, and strong analytical and troubleshooting skills. The role requires excellent communication skills and the ability to support both technical and non-technical users in an international environment. WHAT YOU'LL BE DOING: Handle and respond to employee support requests through corporate communication and ticketing platforms Support, maintain, and troubleshoot cloud and on-premises infrastructure services, applications, and enterprise platforms Manage user accounts, access permissions, system configurations, and related administrative tasks Troubleshoot hardware, software, access, and basic connectivity issues including VPN, Wi-Fi, DNS, and related networking components Monitor infrastructure health, performance, and availability Conduct root cause analysis for recurring technical and infrastructure-related issues, and recommend improvements Contribute to automation, integration, and process improvement initiatives Maintain clear and accurate technical documentation, operational procedures, and user guides Work closely with cross-functional teams to design solutions and implement system improvements and upgrades Provide remote support for office and on-premises IT infrastructure, where applicable WHAT WE LOOK FOR IN YOU: Bachelor's degree in Computer Science, Information Technology, or related field At least 5 years of experience in IT Support and Engin

About the Team OpenAI’s Infrastructure Operations team is responsible for the availability, reliability, and operational excellence of one of the world’s largest AI infrastructure networks. The team owns day-to-day operations of production AI networks across Industrial Compute's data centers, working with colocation providers, deployment teams, and hardware vendors to deliver highly available GPU infrastructure for AI training and inference workloads. About the Role We are seeking an Infrastructure Operations Engineer to operate and improve the large-scale Ethernet fabrics that support GPU clusters, storage systems, and management infrastructure. This role combines hands-on production operations with automation, observability, and incident response across a global AI network. The ideal candidate has experience operating high-availability data center, cloud, AI, or HPC networks and can move comfortably from physical-layer troubleshooting to routing and fabric behavior, change execution, and root-cause analysis. You will partner closely with network architecture, systems engineering, GPU engineering, storage engineering, security, deployment, site operations, service providers, colocation partners, and hardware vendors to raise reliability and reduce operational toil. Key Responsibilities Own the operational health, availability, and reliability of production AI network infrastructure across Industrial Compute's data centers. Monitor, troubleshoot, and resolve network incidents while meeting service-level objectives (SLOs), reducing Mean Time to Detect (MTTD), and minimizing Mean Time to Recovery (MTTR). Operate and maintain large-scale Ethernet fabrics supporting GPU compute, storage, and management networks. Execute production network changes, maintenance windows, and capacity expansions with minimal customer impact. Manage the hardware lifecycle, including switch and optics replacements, RMA coordination, software upgrades, and preventive maintenance. Support new A

(GAQ427R230) About the role As customers build their mission-critical data and AI workloads on Databricks, our shared cloud platform infrastructure is scaling at unprecedented speed. We are looking for a Product Finance Senior Manager to own the economics and financial operations of our multi-cloud platform spend. You will be a key finance partner to our Cloud Engineering and Infrastructure Operations leaders, with a mandate that spans driver-based cloud forecasting, infrastructure efficiency roadmaps, and scalable cost attribution across our product portfolio. The impact you will have Drive analytics and modeling to understand how platform spend scales Lead deep data analytics to identify the underlying drivers of shared cloud platform spend across products, cloud providers, and global regions. Build robust, driver-based forecasting models that accurately predict infrastructure spend across regional expansion, customer scale, and new product launches. Partner with Cloud Infrastructure Operations to design a forward-looking cost attribution model that accurately maps shared platform expenses to individual products. Establish robust KPIs and operations to achieve unit economics goals Partner with Engineering to define north star efficiency KPIs across core platform services and storage/compute layers. Build the infrastructure efficiency roadmap alongside Engineering and translate technical optimizations into committed operating and gross margin targets. Drive tight operational rhythms and reporting so product and engineering leaders have clear visibility to execute against their unit economic goals. Scale cloud finance operations and systems Bring systems-level thinking to cloud FP&A processes, building automated workflows that scale as our multi-cloud footprint and commitment structures become increasingly dynamic. Ensure cloud cost allocation frameworks, monthly accruals, and reporting pipelines remain rigorous, auditable, and scalable as the business co

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team You’ll be joining the data science team at Stripe responsible for our overall infrastructure, with a focus on core systems and cloud platforms. Projects include, but are not limited to: Developing models to predict resource needs as Stripe demand increases; Working closely with engineers to improve the cost and performance of platforms and services; Employing quantitative methods to drive and automate fleet decisions. You will act as a key strategic data partner to the Core Infrastructure organization at Stripe, and help craft, guide, and drive the strategy and tactics needed to help ensure Stripe can continue to scale with efficiency and dependability as our business rapidly grows. What you'll do As a Data Scientist, your role will involve: Analyzing infrastructure usage, efficiency, and workloads to predict demand and inform capacity planning. Developing models and strategies for efficient compute resource consumption and provisioning. Collaborating with engineers, engineering leadership, and finance teams to ensure Stripe makes the right, data-driven, infrastructure decisions. Providing actionable insights and recommendations to improve infrastructure operations to reduce costs and improve reliability. Utilizing your analytical expertise to influence both technical and financial strategies within Stripe. Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements,

Natera is seeking a hands-on, highly accountable Senior Manager of Network Operations to be our Austin site lead. This position will lead the day-to-day operations, reliability, and continuous improvement of a global enterprise network supporting critical healthcare and genomic operations. This role is responsible for managing a distributed network operations team, ensuring high availability across LAN, WAN, wireless, firewall, cloud, and on-premise environments. The Senior Manager will partner closely with Infrastructure, Information Security, DevOps, Engineering, and Lab/Business Operations teams to support a secure, scalable, and resilient network environment. The ideal candidate brings strong technical depth, operational discipline, and people leadership experience. This individual will help execute network modernization initiatives, improve observability and incident response, maintain compliance with change management and regulatory controls, and ensure the network team delivers consistent, reliable support to the business. Key Responsibilities Manage the stability, performance, security, and availability of Natera’s global enterprise network, including LAN, WAN, SD-WAN, wireless, firewalls, VPN, cloud, and on-premise environments. Lead a team of network engineers, providing coaching, prioritization, and technical guidance. Execute network operations initiatives aligned with the broader IT infrastructure strategy, including automation, resiliency, lifecycle management, and performance improvements. Serve as an escalation point for high-severity network incidents, coordinating troubleshooting, communication, root cause analysis, and service restoration. Remain hands-on with network design, configuration, troubleshooting, optimization, and implementation activities as needed. Partner with Information Security on firewall policy management, segmentation, remote access, vulnerability remediation, and secure network architecture practices. Support network capacity

Perplexity is looking for an Infrastructure Engineer to own and improve the backend systems behind our latency-sensitive search stack. You’ll work across high-QPS Rust and Go services, distributed retrieval systems, cloud infrastructure, observability, and deployment tooling. This role combines infrastructure expertise with software engineering. You’ll take systems from design through production operation and use AI-native tools where they meaningfully improve engineering and operational workflows Responsibilities Build and operate scalable, low-latency infrastructure for search serving and retrieval. Design and improve distributed backend systems that handle high request volumes. Debug and optimize Linux systems, containers, networking, and production services. Improve reliability through observability, capacity planning, performance profiling, and incident response. Design, deploy, and operate cloud-native systems, primarily on AWS and Kubernetes. Build internal tools and automation for development, testing, debugging, and infrastructure operations. Improve CI/CD pipelines, release processes, and production rollout safety. Contribute directly to product codebases across Rust, Go, and other systems languages. Own systems end to end, from architecture and implementation to deployment and production operation. Requirements Strong experience with cloud infrastructure, distributed systems, and automation. Deep understanding of Linux internals, performance analysis, and production debugging. Experience building or operating latency-sensitive, high-throughput backend systems. Experience with containers, orchestration, observability, and infrastructure as code. Experience building or maintaining CI/CD systems and release tooling. Fluency in at least one systems language, such as Rust, Go, C++, or Java. Comfort working across infrastructure and application-level code. Strong ownership and the ability to operate effectively in a fast-moving environment. Nice To Have Experie

We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. The Senior Network Engineer leads Wizards of the Coast's enterprise network — datacenters, corporate offices, studios, and AWS cloud. Our stack runs on a Juniper/Mist campus fabric, a Palo Alto Networks security edge, and cloud-native AWS connectivity. You'll set technical direction, drive complex initiatives end to end, and mentor the broader team. Come help us build the future of network operations. What You'll Do: Own the architecture, build, and roadmap for our Juniper/Mist campus and branch infrastructure, and lead its evolution across sites and business units. Lead the Palo Alto Networks security stack, from policy architecture to secure-by-design standards across teams. Own end-to-end AWS cloud network implementation — VPC, Transit Gateway, Direct Connect/VPN, Route 53 — and hybrid connectivity, including BGP, OSPF, and SD-WAN traffic engineering at scale. Drive automation and AI adoption across network operations, from config deployment to AI-powered monitoring, observability, and root-cause analysis. Be the go-to for critical issues, and mentor less-experienced engineers through code review, troubleshooting, and skill-building. What You'll Bring: 10+ years in enterprise network engineering — routing, switching, wireless — with deep expertise in Juniper (EX/QFX/SRX, Mist) and/or Cisco (Catalyst, Nexus), plus hands-on work with intelligent ops tools like Mist/Marvis at scale. Expert-level BGP, OSPF, SD-WAN, and load balancing chops. You've built these solutions from scratch, not just maintained them! Extensive Palo Alto Net

We are seeking a Senior Software Engineer with strong infrastructure expertise to design, build, and operate the next generation of our enterprise Observability, Automation, and AI-driven Reliability Platform. This role will build highly scalable distributed systems and platform services spanning Storage, Compute, Network, VMware, OpenShift, and bare-metal infrastructure. The engineer will help transform infrastructure operations from reactive monitoring and manual remediation to proactive, predictive, and AI-driven autonomous operations. What You Will Be Doing: Design, build, and operate distributed software platforms for enterprise observability, telemetry, automation, and infrastructure reliability at large scale. Develop reusable platform services, APIs, automation frameworks, and control planes that enable self-service, reduce operational toil, and automate infrastructure operations across multiple engineering teams. Build scalable telemetry and event-processing systems spanning metrics, logs, traces, events, topology, and alerts, with the performance and efficiency to process billions of infrastructure signals. Build intelligent and AI-native reliability capabilities, including agentic workflows for anomaly detection, forecasting, root-cause analysis, automated debugging, and closed-loop remediation. Drive technical architecture and engineering direction across Storage, Compute, Network, and Platform domains, solving complex and ambiguous problems that span multiple teams. Engineer for production at scale, with strong focus on software quality, scalability, security, performance, observability, maintainability, and operational readiness. Provide technical leadership and mentorship, influence engineerin