Engineering Manager Linux Team Jobs

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. As an Excellence Center Systems Engineer supporting our OEM partnerships, you will be the technical engine behind some of Everpure's most strategic relationships. Where a major technology vendor embeds Everpure storage inside their own platform and sells it to their customers, their end users are now migrating onto our arrays at scale. Your role is to make that migration wave move quickly — turning technical questions, sizing requests and RFP responses into fast, accurate, quotable answers so that opportunities convert rather than stall. At Everpure, you'll join a culture built on curiosity, innovation, and integrity. We celebrate diverse perspectives, challenge convention, and empower our people to think big, take bold action, and make a measurable impact. This is your opportunity to grow your technical and sales career with one of the most innovative technology companies in the world and do work that truly changes how businesses use data to compete and win. THE ROLE: This is a dedicated role within the Systems Engineering Excellence Center in Prague, with a dotted line into the OEM/Managed Service Provider program team. Because this is a remote coverage model serving a global account base from an EMEA time zone, you'll be trusted to manage your own calendar and priorities against a demanding and unpredictable inbound flow. You will help to move hundreds of end-customer deployments onto Everpure arrays, arriving in quarte

Location Details: At GoDaddy, the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ Remote: This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. About the Team Global Compute builds and operates the core cloud infrastructure that engineering teams rely on every day. We provision and manage AWS accounts across the company, operate the network backbone that connects them, and maintain the security guardrails that keep those environments safe, compliant, and scalable. We believe reliability is an engineering challenge, not an operations task. We automate repetitive work, build for scale before it becomes a problem, and invest heavily in observability to identify issues before they impact the business. What you'll get to do... Operate and scale AWS production infrastructure, owning the health of services that provision, secure, and manage accounts across GoDaddy AWS organisations. Design, build, and maintain cloud platform capabilities using Python, CloudFormation, AWS CDK, and automation-first practices. Drive cost optimisation initiatives that improve efficiency and deliver measurable business impact. Improve observability through monitoring, alerting, dashboards, and operational tooling. Participate in on-call rotations, lead incident response efforts, and drive long-term reliability improvements through blameless post-incident reviews. Support strategic AWS initiatives across networking, identity, governance, and multi-account architecture. Review code and designs, contribute documentation and operational runbooks, and mentor fellow engineers. Leverage AI-assisted tooling to improve engineering productivity, accelerate automation, and reduce operat

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. We are seeking a highly motivated V&V software development engineer in test (SDET) to join this systems-engineering department. As a V&V SDET, you will be a technical lead, owning the end-to-end validation strategy for critical safety systems while architecting and implementing the advanced software infrastructure required to verify them. This role is coding-intensive, focused on building solutions for high-fidelity testing, scalable automation frameworks, and sophisticated data analysis tools to ensure successful compliance to requirements and mission success. Some examples of tools this role supports: Framework for event definition, orchestration, and verification High-performance C++ and Python-based emulators for vehicle sensors (e.g., Radar, Lidar, and Inertial Measurement Units) to enable realistic, real-time fault injection Robust communication bridges between simulation environments and physical vehicle hardware Automating test management and reporting within lifecycle management tools, e.g. Polarion, JAMA, DOORS. In this role, you will: Lead the design and maintenance of large-scale event-driven software/hardware -in-the-loop (SIL/HIL) testing frameworks, utilizing advanced software patterns to improve modularity and reduce code duplication. Architect and manage end-to-end continuous integration (CI) pipelines to automate the execution of regression suites. Lead root cause analysis for complex system-level failures, developing log mining scripts and visualization dashboards (e.g., Grafana, SQL-based notebooks) to triage failures and track performance metr

About the team The Browser Use team builds the technology that enables agents to interact with browsers across our products. Our work spans infrastructure, tooling, and user experiences, both on users’ devices and in the cloud. We partner with research to improve our models’ browser-use capabilities and with web standards bodies to shape how agents interact with the web. Our products include ChatGPT for Chrome, the ChatGPT in-app browser, and the cloud computer used in dots and ChatGPT Work. We see the browser as a universal connector. If we can enable our models to use it effectively, they can do anything. Come help us build the future of browsing! About the role We’re looking for a product-oriented engineer to build and scale our cloud computer infrastructure. Our goal is to give every one of our users access to an agent with their own computer in the cloud. Build novel solutions to problems like authentication, user takeover, and enterprise network access. You’ll help own the systems that provision, run, and manage the environments our agents use, making them reliable, responsive, and efficient as demand grows. This role combines infrastructure depth with close attention to the user experience. You’ll partner with research and engineering teams to bring new computer-use capabilities into production, working across container orchestration, backend services, and product experiences. In this role you will Build and scale infrastructure for running agent-controlled browsers and computers in the cloud. Develop services for provisioning environments, managing sessions, and coordinating their lifecycle. Improve reliability, performance, resource utilization, and observability across the fleet. Diagnose issues across Linux, containers, networking, and browser execution. Build APIs and tooling that make cloud computers easy for research and product teams to use. Work closely with research to understand emerging requirements and improve how computer use works. Develop auth

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 The Endpoint team (Client Platform Engineering) treats Anthropic's device fleet as a platform we build and run. We run our own MDM as a production service and manage every piece of device configuration as code. Policies, configuration profiles, queries, remediation scripts, and software all ship through pull requests, CI, a staging environment, and a canary group before they reach the fleet. The fleet is mostly macOS, plus a small number of Linux machines and a growing mobile footprint. You'll own that platform end to end: the infrastructure underneath the MDM, the configuration on top of it, the patching and software pipelines that keep thousands of devices patched and secure, and the telemetry that tells us what is actually true on every device. You'll also build automation that cuts down on manual operational work. You'll work with Security teams on hardening, compliance controls, and detection and response, and with developer and infrastructure teams to make sure those controls don't get in the way of their work. Your work will let us base access decisions on whether a device can be trusted. We value people who double check a compliance report before they believe it. The team is deliberately lean and runs with high autonomy. You'll help define the endpoint roadmap, make architecture decisions, and own the platform every Anthropic employee's work runs on. You'll also help us meet the security standards our Responsible Scaling Policy requires as models advance. Responsibilities Own endpoint configuration as code: author, review, test, and progressively roll out MDM policies, configuration profiles, and remediation scr

We are seeking an experienced Trading Analytics Developer to join our Quant Trading team and play a pivotal role in advancing our data and AI infrastructure. This role combines traditional quantitative development with cutting-edge AI platform engineering, focusing on building robust, scalable systems that serve both data analytics and artificial intelligence workloads. The ideal candidate will bridge the gap between high-performance trading systems and modern AI capabilities, ensuring reliability, performance, and actionable insights across both domains. Job Responsibilities Data Platform & Analytics Design, build, and operate high throughput batch and streaming data pipelines using Kafka, Flink, and ETL technologies Design and build unified analytics engine designed for processing large-scale data using Apache Spark and related tools Develop and optimize analytical data models for time-series, financial metrics, and trading activity Implement and manage analytical databases (ClickHouse, MongoDB, BigQuery, Snowflake, or similar) with cost-aware architecture Build idempotent data pipelines with robust backfill and reconciliation capabilities Create comprehensive monitoring for data quality, freshness, and pipeline reliability AI Platform Development Design, build, and operate internal AI platforms serving multiple trading teams Build reusable AI tooling including standardized RAG pipelines, prompt management, and self-service workflows Create and maintain agent systems using modern frameworks (LangGraph, A2A, MCP) with focus on controllability and auditability Job Requirements Mandatory Foundations 5+ years production experience with both Python and Java in high-performance environments Strong software engineering fundamentals: system design, data struct

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Requirements: 3+ years embedded firmware development experience with C / C++, Linux / Unix platform; Experience with ARM processors, embedded Linux; Experience working with H.265; Experience with Git, including merging and rebasing; Basic understanding of electronic circuits; Experience in embedded Linux systems (cross-build, flash, boot, system initialization, rootfs packaging, fault-tolerance, IPC, work with embedded filesystems), embedded distributions (Yocto,buildroot,OpenWRT); Good written and verbal English communication skills; Candidate needs to be in Kyiv (or consider relocation). Hybrid type of work. Will be a plus: Knowledge of Linux kernel; Experience with any SoC, preferrably multimedia-targeted; Video processing, streaming, encoding/decoding; Experience working with OpenCV; Image processing, tuning, enhancement; OOP/OOD, strong programming experience with C/C++; BS degree in Computer Science, or related engineering degree. Tools: ANSI C, Git, Linux kernel, embedded development tools (toolchain, OpenWRT, SW/HW debuggers, scripting). What do we offer: International work environment and work with global development teams; Excellent work conditions in an A-Class office (Horizon Park Business Center); Compensation package matching global standards; Flexible work hours (as required); Paid parki

JOB TITLE Software Engineer – Cloud Infrastructure A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. WHAT YOU'LL DO • Design, operate, and continuously improve our Kubernetes infrastructure on Amazon EKS, including Karpenter-based autoscaling, workload scheduling, and cluster lifecycle management • Administer and tune PostgreSQL databases (on RDS) that back platform applications such as Airflow — handling configuration, parameter tuning, maintenance, and reliability, not query optimization • Own our Infrastructure as Code using Terraform — provisioning, modifying, and auditing AWS resources including S3, EC2, RDS, EKS, and IAM • Manage IAM roles, policies, and access patterns across our AWS environment with a security-first mindset • Maintain our artifact registries (ECR, Artifactory) — enforcing retention policies, image versioning standards, and responding to infosec requests around package vulnerabilities and container image remediation • Own and

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The High Bandwidth Memory (HBM) organization develops industry-leading memory solutions that power artificial intelligence, high-performance computing, graphics, and data center applications. The team brings together experts across architecture, design, verification, physical design, product engineering, and validation to deliver advanced memory products that enable the world's most demanding computing workloads. As an HBM Design Development Technical Leadership (DDTL) Intern, you will support the planning, execution, and coordination of next-generation HBM product development programs. You will work closely with technical leaders and engineering teams to track project execution, manage risks, analyze program data, and improve engineering productivity through automation, analytics, and AI-enabled workflows. This role offers exposure to both the technical and leadership aspects of semiconductor product development. Responsibilities Support HBM product execution by tracking schedules, achievements, dependencies, technical risks, and design readiness throughout the development lifecycle. Collaborate with multi-functional engineering teams to monitor project status, coordinate deliverables, and support successful achievement completion. Develop dashboards, reports, data analytics solutions, and executive summaries to provide transparency into program health and key performance indicators. Create automation tools, workflow improvements, and AI-assisted solutions that improve engineering productivity, de

We are looking for a Senior Solutions Engineer, Federal/Public Sector to join our Solutions Engineering team. You will partner with Account Executives to qualify, progress, and close revenue opportunities with civilian, defense, and intelligence community agencies, guiding them through demos, architecture discussions, and proofs-of-concept that prove Coder’s value for both human developers and the AI coding agents working alongside them, often inside classified or air-gapped networks. This is not a scripted-demo-only role. You are equally comfortable running a deep technical proof-of-concept inside a disconnected or classified environment and stepping back to translate a technical win into a business case a federal decision-maker will act on. You are energized by ambiguity, motivated by winning deals the right way, and capable of bringing the voice of the agency back into how Coder builds and sells. What You’ll Do Own the technical relationship with agency prospects through pre-sales, and efficiently manage towards a technical win Lead or support post-sales relationships and renewals when needed Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives, including in classified and air-gapped settings Install Coder on cloud (including GovCloud) and on-prem Kubernetes or VM infrastructure, up to and including air-gapped and disconnected networks Run proofs-of-concept that prove Coder’s value, including for agentic and LLM-powered development workflows, and accelerate deals Evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their impact on mission delivery Serve as the agency’s voice, routing insights to Engineering and Product Log feature requests and issues in our public/private Git repositories Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation, including within classified networks Contribute pull requests to Coder’s documentation What We’re Looki

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 Corporate Security protects the environment Anthropic's people work in every day: their laptops and phones, their identities, the tools they collaborate in and the company data that flows through all of it. Everything that makes Claude what it is sits behind that environment. We keep company access on devices we manage, make those devices hard to compromise and right-size what any one of them can reach, while caring a great deal about the day-to-day experience of the people using them. The company is growing quickly and this team is growing with it, so we treat the work as an engineering discipline: controls as code and automation over queues, built to scale with headcount rather than strain against it. As a Security Engineer here you'll drive significant parts of that work end to end. You'll set technical direction and turn it into shipped tooling. When a control collides with someone's workflow, you'll find the path that keeps them moving without giving up the protection. You'll be handed problems rather than task lists and you'll find as many yourself: threat-modeling the environment to surface what matters, fixing it and bringing the evidence that shapes what the team prioritizes next. This is a senior, hands-on individual contributor role. Key responsibilities Drive endpoint hardening across macOS, Windows, Linux, and ChromeOS, including device management configuration, application allowlisting, patching, and browser policy, favoring controls that are versioned, reviewable, and repeatable over one-off configuration Extend device-trust and zero-trust access controls so company systems are reached from managed device

Salary Range: PLN 260,400 - 352,200 Subject to alignment to the responsibilities and duties of the role. About the job Help make Graphcore’s AI accelerators feel native inside modern Kubernetes environments. As a Senior Cloud Software Engineer, you will lead software that enables new AI accelerator hardware within Kubernetes. You will build Go applications that make complex hardware simple to deploy, manage and operate. Your work will help engineering teams integrate new hardware into existing clusters with a smooth Kubernetes experience. You will shape how users interact with Graphcore technology in cloud-native environments. You will design, build, test and maintain production-quality software, while guiding engineers through complex technical decisions. You will also help strengthen documentation, code quality and delivery standards. This role sits close to hardware, orchestration and cloud infrastructure. It offers rare ownership over software that connects AI compute with the systems used to run it. The team and culture You will work with engineers across cloud software, hardware, platform and infrastructure. The team turns complex integration problems into practical software that users can trust. Work happens through clear technical ownership, direct communication and fast feedback. You will be expected to lead by example, mentor others and raise the quality bar. Decisions are guided by evidence, engineering judgement and open discussion. You will have space to speak up, take responsibility and move important work forward. What we’re looking for Strong experience in software development, ideally with cloud environments or infrastructure platforms Proficiency in Go, with the ability to design, build and maintain reliable applications Deep Kubernetes experience, including container orchestration and cloud-native development Strong Linux knowledge and confidence troubleshooting complex technical issues A track record of delivering complex technical solutions and

A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. Our Technology Infrastructure Team engineers and operates the foundational technology platforms that power all of Point72’s applications and businesses. Our disciplines span a broad array of technologies from datacenter infrastructure to large scale cloud services, with the shared goal of providing the most reliable, performant, modern technology platforms to improve time-to-market for our business. We also deliver end-user technology solutions to support the evolving collaboration and productivity needs of our global teams. Our team focuses on innovation and challenging the current state of our infrastructure technology in a fast-paced, dynamic, and collaborative working environment. What you’ll do: As a member of the Data Platform Engineering team, you will support the development and operation of our data infrastructure. Working closely with software engineers, data engineers, you'll contribute to building, maintaining, and improving reliable systems that power our enterprise data platform. Your responsibilities include: Contribute to the design and implementation of cloud infrastructure for our large-scale data services and distributed systems, focusing on scalability, performance, and resilience Provision and manage core cloud infrastructure on AWS (including compute, storage, networking, and IAM) utilizing Infrastructure as Code (IaC) principles and tools, primarily Terraform Support the evolution of our container orchestration platform

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary As a Design Quality Assurance Engineer, you will work within the Hardware, Firmware, and Software Design team. This will be a hands-on position to support all design validation and reliability aspects of design, development, and transfer to manufacturing. You will drive system validation activities for new product development, verify design changes for existing products, resolve technical issues related to the manufacturing process, and perform failure analysis on field returned products. Responsibilities Passionate about user experience and deeply committed to delivering intuitive, high-quality UX. Develop and review the quality test plan for design validation and EVT/DVT/PVT builds. Execute tests according to test plans to generate test reports during EVT/DVT builds. Try to reproduce the customer’s issues and record the results for RD analysis Develop an automatic test bench for long-time stress testing. Develop and maintain test environments to make sure enough test coverage and speed up testing. Design test methodology and coverage to assure reliability Develop, maintain, and execute black-box and white-box test cases. Track the progress of issue resolution and verify the effectiveness of corrective actions Requirement BS in Engineering (Electrical Engineering, Industrial Engineering, Computer Science, Phys

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary As a Design Quality Assurance Engineer, you will work within the Hardware, Firmware, and Software Design team. This will be a hands-on position to support all design validation and reliability aspects of design, development, and transfer to manufacturing. You will drive system validation activities for new product development, verify design changes for existing products, resolve technical issues related to the manufacturing process, and perform failure analysis on field returned products. Responsibilities Passionate about user experience and deeply committed to delivering intuitive, high-quality UX. Develop and review the quality test plan for design validation and EVT/DVT/PVT builds. Execute tests according to test plans to generate test reports during EVT/DVT builds. Try to reproduce the customer’s issues and record the results for RD analysis Develop an automatic test bench for long-time stress testing. Develop and maintain test environments to ensure sufficient test coverage and speed up testing. Design test methodology and coverage to assure reliability Develop, maintain, and execute black-box and white-box test cases. Track the progress of issue resolution and verify the effectiveness of corrective actions Requirement BS in Engineering (Electrical Engineering, Industrial Engineering, Computer Science, Phy