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Staff Sre For Cloud Network Infrastructure Team Jobs

7,417 active opportunities · Updated for October 2026

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Explore current staff sre for cloud network infrastructure team jobs. Use filters to narrow by work mode, employment type, experience and date posted.

P
11 days ago

The internet is vast, containing trillions of URLs. Perplexity’s crawling and storage system is complex and has multiple stages (URL discovery, crawling, parsing, indexing). Each stage offers many opportunities for improvement and room for intricate bugs. You’ll work at the intersection of data analysis and engineering — designing metrics, building data pipelines, and improving the quality of our search and answer systems. Responsibilities Find and diagnose quality issues in our crawling pipeline Train small models that optimize particular aspects of the pipeline (e.g. parsing quality) Build datasets for model training, including LLM-as-a-judge labeling pipelines Improve page selection algorithms for indexing Design and analyze experiments to validate improvements Qualifications 4+ years of experience as a data analyst, ML engineer, or in a related role Strong coding skills: you should be able to write production-grade code at the level of a mid-level backend engineer Experience designing metrics from scratch Experience training ML models that shipped to production with measurable metric improvements Nice to have Direct experience working on web crawling or indexing pipelines

M
12 days ago

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. Key Responsibilities: As a Quality Management Office (QMO) Auditor at Micron Technology you will be responsible for preparing, supporting, and conducting internal audits to provide risk-based advice and insight to Micron’s global processes. The intent is to protect and enhance organizational value while protecting the Micron brand and the customer perspective of quality. Ultimately your responsibility is to gather and evaluate the information related to the overall quality management system, summarize and report findings to management which includes costs incurred when requirements are not clear or not met. The data you collect will enable all critical processes to maintain compliance with company policies, regulatory and statutory requirements, and any customer requirements and applicable industry Standards. You will work with Micron departments and leaders to develop schedules, review documents and procedures. You will complete audit interviews and take evidentiary samples as defined in the audit project plan. You will analyze issues and identify control weaknesses. You will provide formal written reports that communicate project results and provide advisement as opportunities for improvement to management. Other duties include hosting or supporting external quality audits (customer and certification), contributing to the maintenance of the Micron Quality System, to interpret and become a subject-matter expert in all internal and external requirements, to participate in improvement projects,

artificial intelligenceaiExcel
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M
Modal
📍 Stockholm• Full-time• $150K – $350K/yr
12 days ago

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We’re looking for strong engineers with experience building software that developers love to work with. Our ideal candidate is someone with a demonstrated drive to build beautiful abstractions that enhance developer productivity. Requirements: 5+ years of experience developing high-quality Python, JS or Go applications or libraries where the code is used or interacted with by other developers A strong code-as-product sense that manifests as a focus on developer ergonomics and productivity. Knowledge of async programming and concurrency management/pitfalls A high level of customer empathy, good communication skills, and an openness to working directly with our users to help solve their problems. Ability to participate in on-call rotation and respond to production incidents. Ability to work in-person in our New York or Stockholm office. Any of the following would be a plus: Having built developer to

pythonai
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C
Celonis
📍 Bengaluru
12 days ago

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. Job Role: Chief of Staff Location: Bangalore, India Reports to: COO of the office, Ke Zhang Type: Full-time Job Description: We are seeking a Chief of Staff (CoS) to Carsten Thoma, the Executive Chairman and President at Celonis. As Chief of Staff, you will be a critical resource to the Executive Chairman and President’s Office, and supporting key customer relationships. This role allows you to work closely with the senior leadership team and make a significant impact on the organization's gro

artificial intelligenceaiproject management
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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 Join the FlashArray team to build high-performance, resilient storage software that powers mission-critical applications worldwide. As a core member of an agile engineering group, you will design and deliver zero-downtime algorithms that directly shape our enterprise storage and public cloud offerings. In this role, you will partner closely with global systems engineers and product teams to translate complex technical challenges into scalable, real-world solutions. Your work will directly impact how thousands of global enterprises manage, protect, and scale their data seamlessly. WHAT YOU’LL DO Design & Deliver Resilient Systems: Architect and implement high-performance algorithms for enterprise storage products, ensuring platform reliability, end-to-end delivery from concept to release, and six-nines availability. Expand Cloud Architecture: Extend core platform capabilities into public cloud environments (such as AWS), driving performance and agility for both traditional IT and cloud-native applications. Drive Problem Solving & Quality: Analyze and resolve complex systems software challenges, optimizing storage internals and contributing to continuous continuous platform upgrades. Collaborate & Mentor: Partner with multidisciplinary engineering peers to review code, refine architecture, and maintain high engineering standards across distributed software projects. WHAT YOU BRING Systems Programming Exp

pythonjavaaws
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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. Build What’s Next in Spares Engineering Your Opportunity Join a high-impact engineering team where your ideas can shape performance across a global semiconductor manufacturing network. In this role, you will lead Spares Engineering initiatives across cost, productivity, quality, and supply resilience , while owning broader strategic programs that extend beyond spares. You will combine technical expertise, data-driven decision-making, and program leadership to solve complex challenges, influence stakeholders across sites and functions, and deliver scalable solutions with measurable business impact. What You Will Lead Spares Engineering Leadership Lead end-to-end Spares Engineering programs that improve equipment availability, cost efficiency, quality, productivity, and supply resilience across the network Serve as the network technical expert and trusted advisor to drive assigned spares categories and related programs Set and execute global category strategies, including lifetime extension, CCRR, alternate sourcing, consumption reduction, and other priority initiatives Use performance

pythonartificial intelligenceai
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Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems. Our work spans search and retrieval, LLM post-training, multi-agent training, and the harnesses that make these systems effective. We control the full stack: the models, the agent harnesses, and the search infrastructure underneath. That gives us the freedom to develop new approaches across all three training models to use search more effectively, designing tools and execution environments around learned behavior, and improving retrieval to support how agents actually work. Responsibilities Push search and agent quality forward through improvements to models, training data, tools, and system design. Develop LLM post-training methods, including reinforcement learning, to improve reasoning, search, tool use, and task completion. Train and evaluate multi-agent systems, exploring how agents divide work, share information, and coordinate effectively. Design and build agent harnesses around the tools, context management, execution environments, and orchestration that support reliable work over many steps. Improve retrieval and ranking models and the search interfaces agents use to find and assess information. Build datasets, reward signals, and evaluations that expose meaningful failures and guide improvements. Own experiments end to end, from a clear hypothesis to scalable training, deployment, and measurable gains in quality, latency, and cost. Collaborate with AI, Search, Infrastructure, Data, and Product teams to bring new capabilities into production. Qualifications A strong track record of building and shipping ML systems, with deep experience in one or more of LLM post-training, reinforcement learning, search and retrieval, or agent systems. Strong software engineering skills and the ability to work across model training, experimentation infrastructure, and production systems. Experience designing rigorous evaluations

REMOTEmachine learningai
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Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems. Our work spans search and retrieval, LLM post-training, multi-agent training, and the harnesses that make these systems effective. We control the full stack: the models, the agent harnesses, and the search infrastructure underneath. That gives us the freedom to develop new approaches across all three training models to use search more effectively, designing tools and execution environments around learned behavior, and improving retrieval to support how agents actually work. Responsibilities Push search and agent quality forward through improvements to models, training data, tools, and system design. Develop LLM post-training methods, including reinforcement learning, to improve reasoning, search, tool use, and task completion. Train and evaluate multi-agent systems, exploring how agents divide work, share information, and coordinate effectively. Design and build agent harnesses around the tools, context management, execution environments, and orchestration that support reliable work over many steps. Improve retrieval and ranking models and the search interfaces agents use to find and assess information. Build datasets, reward signals, and evaluations that expose meaningful failures and guide improvements. Own experiments end to end, from a clear hypothesis to scalable training, deployment, and measurable gains in quality, latency, and cost. Collaborate with AI, Search, Infrastructure, Data, and Product teams to bring new capabilities into production. Qualifications A strong track record of building and shipping ML systems, with deep experience in one or more of LLM post-training, reinforcement learning, search and retrieval, or agent systems. Strong software engineering skills and the ability to work across model training, experimentation infrastructure, and production systems. Experience designing rigorous evaluations

REMOTEmachine learningai
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M
14 days ago

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. 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. 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. As a PCT Engineer at Micron Technology, Inc., you will partner with process, equipment, and cross-functional engineers to support process startup, development, and optimization. This opportunity provides a way to improve product quality and reliability through process yield improvement, cost reduction, efficiency gains, and risk management. You will also resolve issues on the manufacturing line. Within OMT PCT (Process Contamination Team), we concentrate on process enhancement through FOUP AMC studies, N₂ purge strategies, and advanced FOUP environmental control methods. Our goal is to develop a reliable monitoring and defense system that can detect potential gaps promptly and prevent

pythonsqlartificial intelligence
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M
Modal
📍 San Francisco• Full-time• $220K – $300K/yr
14 days ago

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: Modal’s Inference Runtime team owns the container runtime stack used to run inference and training workloads across our fleet. We work at the boundary of Linux, containers, filesystems, storage, GPU drivers, and distributed systems.Our goal is to make demanding ML workloads start quickly, run efficiently, and remain securely isolated — whether they use a single GPU, hundreds of gigabytes of memory, or multiple GPUs connected with RDMA.We’re looking for a systems engineer who enjoys working deep in the stack. You’ll build production runtime infrastructure in Rust and Go, diagnose difficult Linux and performance problems, and help determine the architecture of Modal’s container platform. You’ll also work closely with maintainers of gVisor and contribute to the runtime itself when the right fix belongs upstream. The Work: Make container startup, checkpoint, and restore dramatically faster for large i

P
Perplexity
📍 San Francisco• Full-time• Remote• $175K – $330K/yr
14 days ago

Perplexity is AI for people who expect more. On the data team, that means building the systems that make our data reliable, understandable, and usable by both humans and AI. We're looking for an analytics engineer or data engineer who wants to build the foundation for an AI-native data organization. You'll design core data models, pipelines, semantic layers, data quality systems, governance practices, and warehouse workflows that power the entire company: helping teams make strategic decisions, operate the business, and move faster with trusted data. You'll also make sure those systems are secure, privacy-aware, and legible to AI agents, data scientists, and the rest of the company. This role is for someone who can operate at the boundary of analytics engineering, data engineering, data governance, and internal product. You care about dimensional modeling, dbt standards, cost-aware warehouse design, access controls, privacy, and the details that make data trustworthy. You also believe AI should make the data stack faster, easier to maintain, and more accessible across the company without weakening security or governance. What You'll Do Build the core data foundation - design and maintain high-quality data models, marts, and pipelines that make analysis fast, reliable, and reusable. Manage the data warehouse - help own warehouse architecture, environments, permissions, performance, cost, data lifecycle, and operational hygiene so the platform scales cleanly. Make the warehouse AI-readable - own the documentation, semantic context, metadata, lineage, and retrieval patterns that AI systems depend on to understand and query Perplexity's data correctly. Own data modeling standards - define and champion dbt patterns, dimensional modeling practices, naming conventions, tests, and review processes. Lead data governance practices - define standards for access, ownership, lineage, documentation, retention, quality, and sensitive data handling across the analytical warehouse.

REMOTEpythonsqlai
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P
Perplexity
📍 New York• Full-time• $140K – $160K/yr
14 days ago

About the Role We’re looking for a Senior Web QA Engineer to join our Web QA team and help maintain the quality of the core web experience used by millions of people every day. In this role, you’ll test the web products and work closely with engineers to find, report, and help resolve issues early. You’ll also look at how the web experience fits into the wider Perplexity product ecosystem, making sure key flows work consistently across surfaces. Key Responsibilities Test Perplexity’s web product across browsers, devices, and screen sizes, checking functionality, reliability, and performance throughout the development cycle. Run end-to-end integration testing with other Perplexity products, validating shared flows, accounts, and features. Work directly with engineers to prioritize critical bugs, write clear and actionable bug reports, and help get issues resolved. Create and maintain test documentation, including test cases, checklists, and test plans, keeping them current as the product changes. Analyze high-impact user-reported issues and incidents, then share insights that help improve both the product and our QA process. Fix small, low-risk issues yourself where appropriate, shipping simple fixes to reduce engineering overhead and speed up resolution. Qualifications 5+ years of experience in QA, with strong hands-on experience testing web applications Solid experience with web testing, including cross-browser and responsive testing, debugging with browser DevTools (console, network, performance), and validating functionality across environments and builds Experience with integration and end-to-end testing across multiple connected products or services Strong communication skills, with the ability to work effectively with engineering, product, and other QA teams Proactive use of AI coding tools (e.g. Cursor, Claude Code) to navigate the codebase, debug issues, and ship small fixes independently

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 a key leader on the FlashArray engineering team, you will drive the performance benchmarking strategy for industry-leading, high-performance storage solutions operating across on-premises and public cloud environments. In this high-impact role, you will empower a team of top-tier software engineers to optimize mission-critical product capabilities and deliver zero-downtime scalability for enterprise customers. You will partner closely with Product Management, Solutions, and Sales Engineering to transform complex customer workflows into robust performance standards that define the future of cloud and data storage. WHAT YOU'LL DO Lead Performance Strategy & Execution: Define, research, and execute end-to-end performance benchmarking frameworks across FlashArray products, ensuring optimal throughput, low latency, and maximum platform efficiency. Drive Cross-Functional Alignment: Partner with Product Management, Solutions, and Sales Engineering to validate real-world customer scenarios, translating complex operational requirements into actionable performance planning and best practices. Empower & Mentor Engineering Talent: Provide technical direction, architectural guidance, and continuous mentorship to engineering team members to ensure high-quality software delivery, technical excellence, and on-time milestones. Pioneer Multi-Environment Innovations: Optimize performance metrics across physical hardware p

pythonjavalinux
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R
17 days ago

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . As the Chief of Staff to the EVP of Global Ad Sales, you will serve as a high-leverage strategic operator, executive proxy, and force multiplier across the Global Sales Organization (GSO). Your key function is to scale executive attention, accelerate decision velocity, and translate GSO’s highest strategic priorities into clear execution and follow-through. The ideal Chief of Staff operates with high EQ to maintain Reddit’s open, collaborative, and accessible culture while ensuring that executive time is prioritized for high-impact drivers. You will partner closely with Sales Strategy & Operations, regional sales leadership, and cross-functional executive teams to orchestrate a seamless operational rhythm and drive global alignment. This role is required to be based in New York or London. Responsibilities: Drive Alignment & Prioritization Filter & Route Inquiries: Establish clear operational paths for routine data requests, incident reporting, and tactical items below the executive level, freeing leadership bandwidth for major revenue initiatives. Executive Proxy & Strategic Alignment: Represent the EVP in key cross-functional leadership forums, planning reviews, and offsites, building bottoms-up consensus and alignment before issues require top-down intervention. Surface Field Signals: Synthesize customer sentiment, competitive dynamics, and field feedback directly from front-line sales teams to keep executive leadership deeply connected to market realities. Pre-Frame Executive Decisions: Ensure materia

artificial intelligenceai
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R
Reddit
📍 New York• $210.8K – $295.2K/yr
17 days ago

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . As the Chief of Staff to the EVP of Global Ad Sales, you will serve as a high-leverage strategic operator, executive proxy, and force multiplier across the Global Sales Organization (GSO). Your key function is to scale executive attention, accelerate decision velocity, and translate GSO’s highest strategic priorities into clear execution and follow-through. The ideal Chief of Staff operates with high EQ to maintain Reddit’s open, collaborative, and accessible culture while ensuring that executive time is prioritized for high-impact drivers. You will partner closely with Sales Strategy & Operations, regional sales leadership, and cross-functional executive teams to orchestrate a seamless operational rhythm and drive global alignment. This role is required to be based in New York or London. Responsibilities: Drive Alignment & Prioritization Filter & Route Inquiries: Establish clear operational paths for routine data requests, incident reporting, and tactical items below the executive level, freeing leadership bandwidth for major revenue initiatives. Executive Proxy & Strategic Alignment: Represent the EVP in key cross-functional leadership forums, planning reviews, and offsites, building bottoms-up consensus and alignment before issues require top-down intervention. Surface Field Signals: Synthesize customer sentiment, competitive dynamics, and field feedback directly from front-line sales teams to keep executive leadership deeply connected to market realities. Pre-Frame Executive Decisions: Ensure materia

artificial intelligenceai
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