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Fleet Operations Specialist Jobs

1,004 active opportunities · Updated for October 2026

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Explore current fleet operations specialist jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Nuro
📍 Mountain View• Full-time• From $132K/yr
2mo ago

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Team Software Operations is the processing muscle behind Nuro Driver. We take the onroad miles our fleet collects and turn them into usable data, which becomes the foundation everything downstream depends on. Within Software Operations, Eval Operations holds the bar for safety and system testing, making sure our autonomous driving software is safe before it ever hits the road. It's careful, consequential work, and we take it seriously. About the Role We're looking for a Senior Program Manager, Eval Operations to help shape how software evaluation and validation come together across the company. You'll join a team running complex pipelines across simulation, root cause analysis, and systems evaluation, and you'll play a central role in keeping that work organized, prioritized, and moving forward. This is a great role for a process-oriented leader who loves bringing structure to ambiguous, fast-moving problems. You'll get up

restaigo
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Anthropic
📍 Ca New York City• $320K – $405K/yr
2mo ago

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic runs one of the largest and fastest-growing infrastructure fleets in the industry, across multiple accelerator families, CPU families, clouds, neoclouds, and on-prem sites. Capacity Engineering owns the data, tooling, and systems that let Anthropic plan, measure, and maximize utilization of that fleet: we partner on supply deals, wire telemetry from day zero, own the canonical capacity data layer, and build the planning and enforcement tools every research and product team relies on. This role sits in the Planning pillar, on the Demand Planning team, and works daily with research engineering, pretraining, inference, compute supply, finance, and external vendors. You own the tranches. The job has two halves that feed each other. Upstream, you take the Demand Planning forecast and turn it into per-tranche requirements — shape, interconnect, region, supporting resources, date — and carry those into sourcing negotiations and data center build reviews so we contract for capacity we can actually use when we need it. Downstream, you own the integrated schedule and system of record for every tranche in flight — from contracted through reserved, ingested, in-cluster, healthy, and occupied — and you drive the owners of each hop to their dates. Every slip you see downstream becomes a contract-language fix, an automation, or a correction fed back to the forecast. What you'll do Turn the forecast into per-tranche requirements. Take the Demand Planning forecast plus direct input from research, pretraining, and inference planners, and convert it into concrete accelerator, interconnect, region, supporting-resource, and date r

pythonsqlai
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Zoox
📍 San Diego• Full-time• Hybrid• $172K – $230K/yr
5mo ago

Our Ride and Fleet Backend team is looking for a Software Engineer to build out the Fleet Dispatch System to efficiently dispatch missions to our robots. Zoox robots take missions like Rideshare Trips, Charging, Cleaning, Return to Depot, R&D missions, and Roaming missions. It is the backbone of our autonomous fleet management system and the brains behind connecting our riders and vehicle operators to our robots! In this role, you will: Design and build a scalable, efficient, and robust robotaxis dispatch service. Craft and refine algorithms for real-time dispatch optimization and route planning, leveraging operational research techniques. Apply operational research methods such as linear programming, integer programming, stochastic processes, and queuing theory to solve complex dispatch problems. Use operational research tools for data analysis, forecasting demand, and modeling transport networks to improve robotaxi service efficiency. Integrate optimization algorithms into the robotaxi platform. Build and use in-house or 3rd-party simulation models to test dispatch optimization algorithms’ effectiveness. Qualifications Bachelor’s/Master’s degree in Computer Science, Engineering, Mathematics, Operations Research, or related field. Proven experience in algorithm development, with a strong emphasis on operational research methodologies. Proficiency in programming languages Java or Kotlin Solid background in machine learning, AI, operational research, and data analysis. Passion for learning new technologies, domains, and challenging the status quo. Strong mathematics skills. Exceptional problem-solving, analytical, and quantitative skills. Bonus Qualifications Experience with GIS and mapping software. Experience in transportation, logistics, or autonomous vehicles. Experience in building/usi

javamachine learningai
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Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Team Software Operations is the processing muscle behind Nuro Driver. We take the onroad miles our fleet collects and turn them into usable data, which becomes the foundation everything downstream depends on. Within Software Operations, Validation Operations holds the bar for safety and system testing, making sure our autonomous driving software is safe before it ever hits the road. It's careful, consequential work, and we take it seriously. About the Role Own the systems that make validation operations accurate, scalable, and ready for Nuro’s next stage of growth. As a Senior Program Manager on the Software Operations team, you’ll partner with Autonomy, Systems, and Data Platform Engineering to deliver the high-quality data that powers critical validation and expansion efforts. You’ll serve as the bridge between Engineering, Operations, and our offshore partner, upholding the quality bar, building scalable workflows, and

sqlailogistics
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Baseten
📍 New York• Full-time• Remote• $125K – $170K/yr
21 days ago

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We are looking for an IT Support / Operations Engineer to join Baseten as we continue to scale our IT team. In this role, you will play a critical part in bringing our technical support entirely in-house to provide a seamless, high-touch experience for all Baseten employees. As we continue to scale, you will be the primary point of contact for day-to-day technical issues, allowing you to have a direct impact on our team's productivity and overall office environment. This position is ideal for a hands-on problem solver who enjoys a mix of hardware and software troubleshooting, user lifecycle management, and maintaining the physical IT infrastructure of a modern office. While you will focus heavily on elevating our internal support standards, you will also assist with systems administration and workflow automation as our company evolves. This is a hybrid role based out of our San Francisco or New York office, following our standard policy of three days per week in-person to ensure our physical office and AV systems remain high-performing and reliable. RESPONSIBILITIES Serve as the escalation point for day-to-day technical support, diagnosing and resolving hardware and software issues across our Mac and Windows fleet Manage user lifecycle administration including provisioning, deprovisioning, and access management across all systems and services Own the IT onboarding experience for new employees — from laptop setup

REMOTEmachine learningaiprocurement
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Anthropic
📍 Friendly• Remote• $320K – $405K/yr
28 days ago

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Capacity Deployment Lead within Anthropic's Data Center Operations (DCO) organization, you will support and scale how we bring new compute capacity online across a growing fleet of partner-operated data centers. Deployment runs from construction kickoff to ready for service (RFS). You are engaged during planning and construction, and on-site and hands-on from EFA through infrastructure delivery and receiving, integration QA, power-on and network turn-up, burn-in and validation, and acceptance. You work with hardware vendors and operations partners for completion of each CU (capacity unit) with a structured handover into production operations and the maintenance program. The scope is compute: accelerator systems, racks, and the infrastructure around them - at the sites in service today and the ones coming online behind them. This is a program and execution role. You will work with the Global Capacity Delivery Program Lead and the broader Data Center Operations organization, to extend its coverage across more sites and platforms as the fleet grows. Expect 50%+ travel: you get eyes on via boots-on-the-ground for each site in preparation for and during delivery, deployment, QA, and close-out, and your authority comes from being there. Working with vendors and partners, you set direction, priorities, and standards for execution, and you prove results with Anthropic-owned data rather than self-reported status. What you learn at one site - what worked, what slipped, what should become standard - becomes the playbook for the next wave. If you have delivered data center hardware at scale, are passionate about HPC data cente

REMOTEailogistics
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Anthropic
📍 Friendly• Remote• $320K – $405K/yr
1mo ago

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building its own servers, racks, and accelerator systems with contract manufacturers and ODM partners, and deploying them across our fleet of data centers. We are seeking experienced engineers to own how well that hardware gets built. As a Product Engineer on the Manufacturing Operations team, you are the technical owner of a product at the factory. During development, you gather manufacturing, test, and yield concerns, get them fixed in the design before each build, and sign off that the product is ready to move to the next stage. Once a product is in mass production, you keep it healthy by delivering engineering changes with minimal disruption, qualifying new components and second-source manufacturers, and root-causing yield and field failures. This is a hands-on role with up to 50% travel to partner factories in the US and abroad. You should be as comfortable debugging a test failure on the line as you are presenting a corrective action plan to leadership. Representative projects Take a new accelerator rack from early evaluation to mass production at an ODM: audit the assembly and test process, set yield targets, confirm test coverage, and approve the transition. Scale manufacturing from one line to multiple and then to a second site or second manufacturer without yield or throughput regressions. Run a cross-functional root cause on field failures traced to a manufacturing gap, drive corrective action with the ODM/CM, and close the loop with the design itself when required. Lead an engineering change across manufacturers: BOM and PLM updates, cut-in planning, partner training, validation, and monitor fie

REMOTEaisupply chainlogistics
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Baseten
📍 San Francisco• Full-time• Remote• $125K – $170K/yr
2mo ago

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We are looking for an IT Support / Operations Engineer to join Baseten as we continue to scale our IT team. In this role, you will play a critical part in bringing our technical support entirely in-house to provide a seamless, high-touch experience for all Baseten employees. As we continue to scale, you will be the primary point of contact for day-to-day technical issues, allowing you to have a direct impact on our team's productivity and overall office environment. This position is ideal for a hands-on problem solver who enjoys a mix of hardware and software troubleshooting, user lifecycle management, and maintaining the physical IT infrastructure of a modern office. While you will focus heavily on elevating our internal support standards, you will also assist with systems administration and workflow automation as our company evolves. This is a hybrid role based out of our San Francisco or New York office, following our standard policy of three days per week in-person to ensure our physical office and AV systems remain high-performing and reliable. RESPONSIBILITIES Serve as the escalation point for day-to-day technical support, diagnosing and resolving hardware and software issues across our Mac and Windows fleet Manage user lifecycle administration including provisioning, deprovisioning, and access management across all systems and services Own the IT onboarding experience for new employees — from laptop setup

REMOTEmachine learningaiprocurement
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OpenAI
📍 San Francisco• Full-time• $230K – $490K/yr
11mo ago

The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth. About the Role The Software Engineer, Operating Systems & Orchestration will focus on building systems to manage hardware, configurations, vendors, and the people interacting with our infrastructure. You will design and develop solutions that integrate individual nodes and servers into unified clusters, directly contributing to advancing AI research by streamlining the overall research user experience. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and build systems to manage both cloud and bare-metal fleets at scale. Develop tools that integrate low-level hardware metrics with high-level job scheduling and cluster management algorithms. Leverage LLMs to coordinate vendor operations and optimize infrastructure workflows. Automate infrastructure processes, reducing repetitive toil and improving system reliability. Collaborate with hardware, infrastructure, and research teams to ensure seamless integration across the stack. Continuously improve tools, automation, processes, and documentation to enhance operational efficiency. You might thrive in this role if you: Have strong software engineering skills with experience in large-scale infrastructure environments. Possess broad knowledge of cluster-level systems (e.g., Kubernetes, CI/CD pipelines, Terraform, cloud providers). Have deep expertise in server-level systems (e.g., systems, containerization, Chef,

kuberneteslinuxartificial intelligence
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21 days ago

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Network Deployment and Maintenance Lead within Anthropic's Data Center Operations (DCO) organization, you will ensure the network inside our data halls is brought online and kept healthy across a growing fleet of partner-operated data centers. The scope is the network within and between data halls: the cluster network, management, telemetry, accelerator chip back-end networks, aggregation layer(s), as well as the cabling, optics, and switching around them. On the deployment side, you are engaged during planning and construction, and will be on site during late-stage construction through network delivery and receiving, cabling, integration, turn-up, validation, and acceptance. You will be the on site lead for structured handover of network delivery into production operations. On the maintenance side, you drive the network repair program including: break-fix and ticket flow, vendor RMA, sparing policies, and the SLAs which operations partners execute against. Finally, some of this work touches core networks, where you will partner with Anthropics WAN/Core network team to support campus/DC core network deployment and maintenance activities. This is a program and execution role. You will work with the Global Capacity Delivery Program Leads, the Repairs Program Leads, and the broader Data Center Operations organization to extend network coverage across more sites and platforms as the fleet grows. Expect 50%+ travel: you get eyes on the floor at each site during network delivery, turn-up, QA, and close-out, and at sites where repair performance needs attention. Your authority comes from being on site where you fos

REMOTEailogistics
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Palantir
📍 Central, Singapore• Full-time• Hybrid• S$110K – S$200K/yr
20mo ago

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Database Operations is responsible for the deployment and maintenance of the database layer that Palantir’s products depend on. As an engineer on the Database Operations team, you will design how databases are deployed and operated across a wide variety of environments, build the automation and observability that keep them healthy, and respond to the critical production issues that affect some of the world's most impactful use cases. Core Responsibilities Build software that automates the routine work of deploying and running production databases Participate in regular on-call rotations Troubleshoot, diagnose, and remediate stability and reliability issues in production database systems Participate in post-incident reviews and take ownership of follow up actions Identify patterns across incidents, support tickets, and alerts, and translate those observations into proposals for systemic improvements to our fleet Manage and execute large scale migrations of the fleet of databases we run Partner with customer-facing teams during incidents and when setting up new database installations Work with database engineering teams and infrastructure teams to build resilient and highly available database systems Continuously invest in documentation, metrics, monitors and other troubleshooting tools Hold the bar on engineering and operational standards through code reviews, design reviews, and feedback on operating procedures Build deep expertise and experience in production systems (Kubernetes, cloud environments, Cassandra, Elasticsearch, etc.) and share that knowledge amongst

pythonjavaaws
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Baseten
📍 San Francisco• Full-time• Remote• $225K – $235K/yr
1mo ago

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for a hands-on Operations Manager to own the operational and analytical supply side of our GPU fleet. Key focus areas: GPU fleet lifecycle, health, observability, utilization monitoring, and remediation across our neocloud and bare metal environments. We contract for a fixed amount of compute capacity. GPUs drift from healthy to unhealthy over time, and this role minimizes that downtime to keep the maximum number of GPUs healthy at any given moment. This is an operator role, not people management. You'll drive execution through clear processes, metrics, reporting, vendor coordination, and cross-functional alignment. RESPONSIBILITIES Drive suppliers to keep the maximum amount of the GPU fleet online and healthy. Maintain a live reconciliation of contracted vs. provisioned vs. healthy vs. utilized capacity, broken out by supplier and by cluster maximizing the number of healthy GPUs. Supplier-attributed fleet health accountability: own replacement SLAs, mean time to repair (MTTR), and RMA cycle times for every in-scope supplier. SLA monitoring, credit claims, and remedy enforcement: track SLA performance against contract terms, file and pursue credit claims, and drive remediation plans when suppliers fall short. Drive internal communications where suppliers need to perform maintenance to ensure all Baseten stakeholders are aware of activities that impact availability. Scope and Approach Flexibility: t

REMOTEmachine learningaifinance
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About the Team Our New Verticals Strategy & Operations team is re-inventing the way consumers think about grocery, convenience, alcohol and retail delivery through both our first-party and third-party operations businesses. Our third-party operations business [internally known as 3P], enables both shopping and last mile delivery for third-party enterprise & SMB merchants we partner directly with. About the Role We are looking to hire a Manager for New Vertical Logistics, to own workstreams that will directly impact bottom line efficiency and the end-to-end dasher experience. You will own dasher efficiency metrics, build the strategy and execute to drive impact and hit your goals, and improve the Dasher experience to keep our fleet healthy. You will work directly with a wide range of cross-functional stakeholders across Finance, Product, Engineering, and Analytics. You will report to a Senior Manager within our Central Strategy & Operations team and manage a team of one. We operate in a hybrid model - you will spend some time in your home office, in person via offsites and testing your new products or features in 3P stores. You’re excited about this opportunity because you will… Build & Analyze. You’ll do whatever it takes to launch and ship new features to drive dasher efficiencies and improve the dasher experience — from writing complex SQL queries to drafting product requirements and supporting new feature launches. You’ll assess the operational and financial impacts of experiments, model tradeoffs, and iterate based on data. Scale. You’ll transform analytical insights into experiments that create measurable and scalable improvements in dasher efficiency. Experiment. You will identify variance drivers, develop hypotheses, and test model and product changes in partnership with Product, Engineering, and Analytics — including leveraging AI-enabled tools to uplevel the way we operate internally & externally. Collaborate. You’ll influence a cr

sqlaiExcel
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The Program Management Office (PMO) at Zoox is at the center of the company's efforts, responsible for driving cross-functional program planning and execution at the highest level. We partner with leaders from every corner of the company—vehicle development, software engineering, manufacturing, and operations—to deliver on the ambitious milestones that pave our path to launching a revolutionary autonomous mobility service. The L3 Program within PMO is responsible for the optimal allocation and usage of the test fleet, operated nationwide, with leading-edge hardware and software that will be used in future milestones. Our program managers contribute to the end to end success of all of Zoox's technical, integrated product milestones on our purpose-built robotaxi. We are excited to launch a new initiative to bring exceptional early-career talent into our PMO team. This is a role for those who have a history of high performance in their academic and project work and are eager to apply their skills to complex, real-world challenges. While we hire for potential and rate of learning, we are looking for individuals who have demonstrated the ability to perform at a high level, regardless of their years of experience. As a Technical Program Manager (6-month contract), you will be given concrete, well-defined projects that will allow you to make a real impact from the start. This role is a unique opportunity to grow into a leader who can run, improve, and expand our program structures. Please note that this is an on-site role and requires working from the office five days per week. In this Role, You Will... Drive Clarity and Unity: Work independently to gather and analyze information from various teams to create unified program management templates, helping to standardize how we track deliverables across different parts of the company. Structure for Success: Collaborate with stakeholders across engineering and product to define, structure, and track key p

pythonsqlmachine learning
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Roblox
📍 San Mateo• Full-time• From $345K/yr
4mo ago

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Principal Software Engineer leading Fleet Management, you will be the overall technical lead across three pods and the person who sets the technical direction for the fleet management layer of Roblox. This is a hands-on, deeply technical leadership role that owns all of Roblox's compute capacity end to end: from low-level provisioning and the data plane, up through the control planes that operate it, and all the way to the UI and internal-facing products that let teams self-serve capacity. Your org centralizes security, maintenance operations, and the uptime of every Roblox Kubernetes cluster, and governs the internal customer contracts that drive automation across the fleet spanning Roblox data centers and cloud providers. You will guide architecture, raise the engineering bar, and make sure compute capacity supply and demand stay in balance as the fleet grows. You will: Serve as the overall technical lead for three Fleet Management pods, setting and aligning the technical direction across low-level provisioning, the data plane, and the control plane and product surfaces above them. Architect the declarative, Kubernetes-style control planes that operate Roblox's compute fleet across o

sqlawskubernetes
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