Internal Fleet Coordinator Jobs

MongoDB is seeking a Senior Software Engineer to join the Atlas Clusters Organization. The organization is responsible for building MongoDB Atlas, our database as a service offering and fastest growing product. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. This includes developing software to interface with the three major cloud providers (AWS, Azure, and GCP) in order to bring security, durability, availability, and performance to all deployments of MongoDB. Atlas Clusters Security builds the security experience that Atlas customers depend on for mission-critical applications. Across the organization we own cluster networking, data encryption, database authentication, and related controls. This role sits on the Encryption & Compliance team. We own Encryption at Rest with customer-managed keys (Bring Your Own Key) across AWS, Azure, and GCP, including private networking to customer key management systems. We also own the security and compliance work that lets Atlas serve highly regulated markets, including government offerings and internal credential management. You will design and operate these systems in production, lead fleet-wide rollouts, and partner with customers when encryption or key-management issues hit their clusters. We are looking to speak to candidates who are based in San Francisco and would like a hybrid or in-office working model. What you’ll do Build and design new features for MongoDB Atlas Contribute to and lead complex technical projects Work closely with product and design teams, considering the user’s perspective while building technical solutions Work with customers and support engineers to fix issues Collaborate with team members to develop our codebase, best practices, and design principles Learn from and mentor other team members Join an on-call rotation to support Atlas’ production services We’re looking for someone who Has at least 5 years of professional software develop

As a Wireless Firmware Validation Engineer on the Firmware team, you will own the performance validation, optimization, and debugging of our TCU (Telematics Control Unit). Managing a complex architecture that integrates third-party hardware with our autonomous vehicle platform, you will analyze diagnostics and log outputs across cellular networks, 4G/5G modems, internal software layers, Wi-Fi, and Bluetooth. You will not only reactively troubleshoot complex field issues but also proactively design, facilitate, and evaluate advanced testing campaigns—utilizing industry-standard network emulation tools like the Keysight UXM—to identify cellular edge cases and vulnerabilities before they impact operations. Your work will directly safeguard the safety, reliability, and scaling of the Zoox autonomous fleet. Robust, low-latency connectivity is fundamental to autonomous vehicle deployment, powering essential real-time cloud services, fleet management pipelines, and teleoperation capabilities. By ensuring our vehicles maintain seamless, high-performance connections under the most demanding real-world conditions, you will bridge the gap between cutting-edge hardware, cloud infrastructure, and test systems to enable Zoox to deliver the future of autonomous mobility. You will leverage your substantial prior expertise in connectivity software and protocols (cellular modem cross-layers, Wi-Fi MAC/PHY) to provide critical insights and feedback, guaranteeing that our systems are rigorously tested and hardened for operational deployment. In this role, you will: Test Architecture & Strategy: Define component integration plans (from initial hardware bring-up to advanc

As a Software Engineer on the Firmware team, you will own the software integration, performance, optimization, and debugging of our TCU (Telematics Control Unit). Managing a complex architecture that integrates third-party hardware with our autonomous vehicle platform, you will analyze diagnostics and log outputs across cellular networks, 4G/5G modems, internal software layers, Wi-Fi, and Bluetooth. You will not only reactively troubleshoot complex field issues but also proactively architect and develop robust host-side connectivity software to handle cellular edge cases and vulnerabilities before they impact operations. Your work will directly safeguard the safety, reliability, and scaling of the Zoox autonomous fleet. Robust, low-latency connectivity is fundamental to autonomous vehicle deployment, powering essential real-time cloud services, fleet management pipelines, and teleoperation capabilities. By ensuring our vehicles maintain seamless, high-performance connections under the most demanding real-world conditions, you will bridge the gap between cutting-edge hardware, cloud infrastructure, and test systems to enable Zoox to deliver the future of autonomous mobility. You will leverage a profound understanding of how these stacks operate to define the architecture, utilize vendor interfaces, and debug complex cross-layer issues. Responsibilities Contribute and Develop: Contribute to Zoox's firmware and cellular wireless connectivity stack (LTE/5G), developing and enhancing connectivity features across multiple generations of hardware. Vendor Integration: Act as the primary technical expert working with cellular chipset vendors (e.g., Qualcomm) to integrate their proprietary firmware, SW stacks, and L1-L3 implementations into our custom embedded Linux platform. Architecture Definition: Define, architect, and validate the critical software interfaces betw

About the Role We're looking for a software engineer to build the Kubernetes-native control plane that provisions and runs our GPU inference fleet. You'll design a manifest-driven API where the inference team declares what they need, whether that's a cluster, a model deployment, or a capacity change, and our controllers handle the reconciliation, provider/runtime selection, and lifecycle management underneath, so the inference team never has to know or care which specific serving stack, scheduler, or hardware pool is doing the work. You'll also build the systems that keep the fleet efficient, not just running, including defragmentation and rebalancing logic that consolidates scattered workloads back into contiguous capacity, and scheduling/bin-packing improvements that push GPU utilization up without hurting latency. The core value we're after is decoupling the people building on top of the platform from the operational and runtime complexity underneath, while squeezing more usable capacity out of the same hardware. You'll build the controllers, reconciliation loops, and self-service surface (API/CLI, not tickets) that make that decoupling real, plus the event-driven health, remediation, and utilization systems that keep it running and efficient without a human in the loop. Strong candidates have hands-on experience with Kubernetes controller/CRD patterns, have built or operated a platform API that abstracts multiple backends behind one interface, understand GPU scheduling and capacity efficiency (fragmentation, bin-packing, right-sizing), and think about GPU infrastructure as software to be engineered. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities Build the provisioning state machine: design and implement

About the Role REMOTE IN INDIA We're looking for a software engineer to build the Kubernetes-native control plane that provisions and runs our GPU inference fleet. You'll design a manifest-driven API where the inference team declares what they need, whether that's a cluster, a model deployment, or a capacity change, and our controllers handle the reconciliation, provider/runtime selection, and lifecycle management underneath, so the inference team never has to know or care which specific serving stack, scheduler, or hardware pool is doing the work. You'll also build the systems that keep the fleet efficient, not just running, including defragmentation and rebalancing logic that consolidates scattered workloads back into contiguous capacity, and scheduling/bin-packing improvements that push GPU utilization up without hurting latency. The core value we're after is decoupling the people building on top of the platform from the operational and runtime complexity underneath, while squeezing more usable capacity out of the same hardware. You'll build the controllers, reconciliation loops, and self-service surface (API/CLI, not tickets) that make that decoupling real, plus the event-driven health, remediation, and utilization systems that keep it running and efficient without a human in the loop. Strong candidates have hands-on experience with Kubernetes controller/CRD patterns, have built or operated a platform API that abstracts multiple backends behind one interface, understand GPU scheduling and capacity efficiency (fragmentation, bin-packing, right-sizing), and think about GPU infrastructure as software to be engineered. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities Build the provisioning state machine

Traditional engineering roles hand you a task and ask you to implement it. This one hands you a problem and a fleet of AI agents and asks you to ship the solution. The Product Engineer / Builder is a Staff/Principal level individual contributor role , for someone who takes a defined problem and owns the solution end to end. You understand the customer and the problem, then design, build, and ship working software, using AI agents as your primary means of turning direction into product. You combine deep engineering craft with genuine product instinct, and act as a force multiplier rather than a single pair of hands. How You’ll Work Given a problem to solve, you shape the approach and use AI to bring it to life by directing several AI agents in parallel and rigorously reviewing what they produce. An idea sketched in the morning can be a functional prototype by lunch and a working product by the end of the week . You think like a product manager, care like a designer, and build like an engineer. This is not a role for someone who waits to be told exactly what to type. You bring taste and judgment to every decision. It’s your responsibility to know what to build, what not to build, and to prove — through evals, testing, and review — that AI-generated work is reliable enough to ship. You measure success in customer and business outcomes, not tasks completed. Build on What Works, Invent Where It Counts Build rapidly by composing solutions from the best available tools, whether internal or external, and apply your own innovation where it matters most. That means drawing on proven platforms, components, services, and models instead of building everything from scratch, then adding original thinking where there are gaps to close, experiences to elevate, or clear opportunities to differentiate. You know when to leverage what already works, when to extend it, and wh

About the Role We're looking for a software engineer to build the Kubernetes-native control plane that provisions and runs our GPU inference fleet. You'll design a manifest-driven API where the inference team declares what they need, whether that's a cluster, a model deployment, or a capacity change, and our controllers handle the reconciliation, provider/runtime selection, and lifecycle management underneath, so the inference team never has to know or care which specific serving stack, scheduler, or hardware pool is doing the work. You'll also build the systems that keep the fleet efficient, not just running, including defragmentation and rebalancing logic that consolidates scattered workloads back into contiguous capacity, and scheduling/bin-packing improvements that push GPU utilization up without hurting latency. The core value we're after is decoupling the people building on top of the platform from the operational and runtime complexity underneath, while squeezing more usable capacity out of the same hardware. You'll build the controllers, reconciliation loops, and self-service surface (API/CLI, not tickets) that make that decoupling real, plus the event-driven health, remediation, and utilization systems that keep it running and efficient without a human in the loop. Strong candidates have hands-on experience with Kubernetes controller/CRD patterns, have built or operated a platform API that abstracts multiple backends behind one interface, understand GPU scheduling and capacity efficiency (fragmentation, bin-packing, right-sizing), and think about GPU infrastructure as software to be engineered. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities Build the provisioning state machine: design and implement

The FP&A team at Zoox drives financial analysis of key strategic investments, maintains short and long term financial models, and develops reporting for both internal and external stakeholders. As a Financial Analyst supporting Commercial Operations, you will partner with key stakeholders across Operations, Go-to-Market, Data Science, and Software teams to manage revenue planning and reporting processes for Zoox’s rapidly growing Robotaxi business. You will manage short and long-term financial planning cycles and financial and operational metric reviews to ensure efficient resource allocation. This will require a deep understanding of Zoox’s ridehail operations and spend drivers, establishing strong working relationships with executives, managers, and individual contributors across multiple departments, and utilizing enterprise systems and tools to establish robust financial models and dashboards. The goal for this role is to drive decision-making through timely and actionable financial insights. In this role you will: Own and maintain long-range, annual, and mid-year financial models for demand, fleet allocation, gross bookings and TNC fees Develop city-level models for commercial operations and drive financial analysis for market expansion Partner with operations, manufacturing, regulatory, and data science teams to ensure consistent and industrialized data pipelines for financial analysis Analyze large financial datasets from Anaplan, SAP S4, Databricks, and other internal data systems to drive actionable insights Support implementation of systems required for commercial operations through design, build, testing, and cutover phases Qualifications BA/BS degree, preferably in a Finance, Accounting, Data Science or a quantitative field 4+ years experience in an FP&A or other analytical field 2+ years of direct experience building models, forecast input templates, dashboards, and business proces

Senior Software Engineer - Streaming Platform Client Data streams are mission-critical at Datadog, powering near real-time communication across the vast majority of our services. Our Streaming Platform group builds the core infrastructure and abstractions that ensure Datadog remains a trusted partner for engineers worldwide. See our blog post . The Streaming Platform Client team sits at the heart of this ecosystem. We own the Rust client library (producers and consumers) with language bindings for Java, Go, and Python. We focus on building intuitive APIs and abstractions that make a powerful distributed system easy to adopt and operate for the hundreds of internal users of our library. Our library runs on critical data paths that handle hundreds of millions of messages per second making performance, observability, and reliability paramount. We also develop and operate the service that bridges the clients fleet with the platform's control plane, handling complex balancing, scaling, and static stability challenges. We are seeking a Senior Software Engineer to help us evolve these features. You will collaborate directly with our users, tackle performance-critical code, and solve complex distributed systems challenges across the control plane, client libraries, and data plane. 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: Work within a distributed, high-impact team spanning Europe and the US, building critical technologies that power data pipelines for dozens of internal teams and hundreds of services. Architect and implement resilient interactions between our client libraries and the control plane. Optimize our high-throughput, low-level streaming library to push the boundaries of performance and efficiency. Champion the developer experience by providing

As a Firmware Connectivity Systems Integration and Test Lead on the Embedded Software team, you will own the performance, optimization, and debugging of our TCU (Telematics Control Unit). Managing a complex architecture that integrates third-party hardware with our autonomous vehicle platform, you will analyze diagnostics and log outputs across cellular networks, 4G/5G modem, internal software layer, WiFi, and more. You will not only reactively troubleshoot complex field issues but also proactively design, facilitate, and evaluate advanced testing campaigns—utilizing industry-standard network emulation tools like the Keysight UXM—to identify cellular edge cases and vulnerabilities before they impact operations. Your work will directly safeguard the safety, reliability, and scaling of the Zoox autonomous fleet. Robust, low-latency connectivity is fundamental to autonomous vehicle deployment, powering essential real-time cloud services, fleet management pipelines, and teleoperation capabilities. By ensuring our vehicles maintain seamless, high-performance connections under the most demanding real-world conditions, you will bridge the gap between cutting-edge hardware, cloud infrastructure, and test systems to enable Zoox to deliver the future of autonomous mobility In this role: Ensure all interfaces are well-architected, documented, and validated - notably, between RF-baseband, baseband-protocol stack (AP), AP to host etc. Define component integration plans (from bring-up to advanced functions), then design and execute comprehensive test plans spanning

Senior Software Engineer - Streaming Platform Client Data streams are mission-critical at Datadog, powering near real-time communication across the vast majority of our services. Our Streaming Platform group builds the core infrastructure and abstractions that ensure Datadog remains a trusted partner for engineers worldwide. See our blog post . The Streaming Platform Client team sits at the heart of this ecosystem. We own the Rust client library (producers and consumers) with language bindings for Java, Go, and Python. We focus on building intuitive APIs and abstractions that make a powerful distributed system easy to adopt and operate for the hundreds of internal users of our library. Our library runs on critical data paths that handle hundreds of millions of messages per second making performance, observability, and reliability paramount. We also develop and operate the service that bridges the clients fleet with the platform's control plane, handling complex balancing, scaling, and static stability challenges. We are seeking a Senior Software Engineer to help us evolve these features. You will collaborate directly with our users, tackle performance-critical code, and solve complex distributed systems challenges across the control plane, client libraries, and data plane. 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: Work within a distributed, high-impact team spanning Europe and the US, building critical technologies that power data pipelines for dozens of internal teams and hundreds of services. Architect and implement resilient interactions between our client libraries and the control plane. Optimize our high-throughput, low-level streaming library to push the boundaries of performance and efficiency. Champion the developer experience by pro

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As an Associate Systems Engineer, you play a key role in supporting the SE organization through activities that drive customer adoption as well as lifecycle management of a customer’s fleet of products and solutions. WHAT YOU'LL DO Assist internal teams with configuration validation in support of sales opportunities Collect and acquire data for use in the creation of sales plays and lifecycle management programs and processes Work with established programs and sizing tools to provide customers with a product performance solution that meets and exceeds their expectations Be involved in the Account Planning process as part of a larger team Assist with solution designs and take point on simple designs Assist prospects and customers with basic demonstrations, system configurations, feature adoption, and answers to technical questions Work with established programs and sizing tools to support customer pursuits Work cross functionally with internal departments such as Customer Support, Professional Services, Renewal, Sales Operations, and Order Management Supports both pre-sales and post-sales activities, optimizing customer engagement and satisfaction Drive technical account management to ensure seamless implementation and ongoing support of Everpure solutions, fostering strong customer relationships We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compl

About the job Build the cloud platform that turns Graphcore AI systems into usable, scalable services. Graphcore needs a Bristol-based Staff Cloud Engineer to develop and deploy private and public cloud services for AI compute. You will join the Cloud Platform team within Software Platform, close to datacentre operations and product development. Your work will shape how internal users and customers access large-scale AI systems. You will keep critical infrastructure available while helping pre-release hardware and software become reliable cloud services. You will operate and extend OpenStack-based services, automate deployment with infrastructure-as-code, and improve observability across the fleet. You will benchmark, validate and optimise systems spanning Graphcore hardware, servers, switches and storage. This role suits someone who wants ownership of hard infrastructure problems, not a narrow ticket queue. Expect unproven components, direct user feedback, and decisions that move quickly into production. The team and culture The Cloud Platform team turns Graphcore products into large-scale AI solutions for internal users and customers. Work happens close to the systems, with engineers deploying, measuring and improving services directly. You will work with Software Platform, Datacentre Operations, Product Development, Engineering and QA. The team values people who take responsibility for unclear problems and make progress without waiting for perfect inputs. The team makes decisions from evidence: metrics, benchmarks, user impact and system behaviour. Engineers speak up, surface risks early and own corrective actions when systems need attention. What we’re looking for A relevant degree or equivalent practical experience, with proven ability to scope and deliver technical infrastructure work. Experience operating on-premises or private-cloud environments, with strong ownership of end-user availability. Strong Linux system administration and scripting sk

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your Opportunity As a Senior Software Engineer within the Container Fabric (CF) organization, you will be a key driver in evolving New Relic’s global internal platform. We are looking for an operations-heavy engineer with 5–8 years of relevant experience who can leverage open-source and custom tooling to orchestrate and maintain large-scale Kubernetes environments. You will play a "Captain" role—leading critical deliverables and mentoring junior engineers while maintaining the reliability of our global fleet. What You'll Do Architectural Leadership: Drive the design and implementation of internal tools, specifically focusing on Kubernetes Operators and Controllers to automate resource management. Platform Orchestration: Lead complex, large-scale infrastructure shifts. Operational Excellence: Take ownership of incident response, author comprehensive retrospectives, and implement systemic hardening to prevent recurrence using advanced overcommit strategies. This Role Requires Experience: 5–8 years in a DevOps, Site Reliability, or Infrastructure Engineering role. Kubernetes Mastery: Deep internals knowledge of Kubernetes and hands-on experience writing custom operators. Tooling Proficiency: Strong experience building production-grade tools and services, specifically for infrastructure automation. Operations-Heavy Mindset: A proven track record of Day 1/Day 2 operations for a large-scale Kubernetes fleet, handling high-severity incidents, and improving SLA compliance through auto

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 team Secure Frameworks is the team in Anthropic's Security Engineering org that builds shared security libraries and frameworks the rest of the company builds on. We collaborate closely with teams and leaders across Anthropic to own critical security foundations, including workload identity and authorization, cryptographic frameworks, and the centralized access proxy that secures traffic to internal applications. Our mission is to make the secure thing easy and the easy thing secure by helping Anthropic engineers get secure behaviour by default and preventing entire classes of vulnerabilities through careful design. We own what we ship, help customers adopt better security practices and at times we work embedded directly in research, infrastructure or product teams. About the role You will design, build and run security foundations used across Anthropic's fleet, from threat model through production, on-call and adoption. Much of the work is greenfield: our infrastructure is growing quickly and the timelines are compressed, so you will help define the architecture rather than inherit it. Depending on your strengths you will focus on one or two of the areas below and contribute across the rest. Build critical security foundations including cryptographic frameworks, mTLS infrastructure, secure serialization, and authorization systems, designed to prevent entire classes of vulnerabilities Partner with product, research, infrastructure, and other security teams to ensure frameworks integrate smoothly with lower-layer security controls Scope, design and build security services and libraries end-to-end, maintain t