Senior Cloud Operations Engineer Jobs

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. Senior Product Manager for AI and Automation PagerDuty is redefining how modern engineering and operations teams work. PagerDuty’s Automation Platform includes Workflows, Actions, Connectors, and a growing agentic layer built on Skills and Tools. This is the backbone of how teams eliminate toil, respond to incidents autonomously, and ultimately enable AI-native SRE agents. As Senior Product Manager for AI and Automation, you will own product strategy and execution across our Operations Cloud SaaS and on-premises automation products and lead the roadmap for the agentic automation experience we’re building for autonomous SRE agents. This is a high-visibility, high impact role that sits at the intersection of developer tooling, enterprise operations, and frontier AI product design. You will report directly to the Senior Director of Product Management for the AI & Automation group and will partner tightly with engineering, design, GTM, and enterprise customers. Key Responsibilities Define and drive the multi-year roadmap for Workflows and Actions, covering both cloud-delivered SaaS and on-p

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. Senior Product Manager for AI and Automation PagerDuty is redefining how modern engineering and operations teams work. PagerDuty’s Automation Platform includes Workflows, Actions, Connectors, and a growing agentic layer built on Skills and Tools. This is the backbone of how teams eliminate toil, respond to incidents autonomously, and ultimately enable AI-native SRE agents. As Senior Product Manager for AI and Automation, you will own product strategy and execution across our Operations Cloud SaaS and on-premises automation products and lead the roadmap for the agentic automation experience we’re building for autonomous SRE agents. This is a high-visibility, high impact role that sits at the intersection of developer tooling, enterprise operations, and frontier AI product design. You will report directly to the Senior Director of Product Management for the AI & Automation group and will partner tightly with engineering, design, GTM, and enterprise customers. Key Responsibilities Define and drive the multi-year roadmap for Workflows and Actions, covering both cloud-delivered SaaS and on-p

About the Team DoorDash is one of the world’s leading on-demand logistics platforms. Across DoorDash, Deliveroo, and Wolt, our operations span more than 40 countries, dozens of offices, and tens of thousands of employees.Global Safety and Security helps protect our people, property, operations, brand, and reputation across that footprint, using technology, agility, and a people-first approach to stay ahead of evolving risks. Within the team, Protective Services focuses on the safety of our executives, their families, and the operations that support them. Our detection engineering function brings together enterprise, marketplace, open-source, and physical security signals to identify threats that don’t fit neatly within a traditional SOC boundary. This role builds the detection capabilities that turn those signals into timely, actionable intelligence - and helps Protective Services find what matters before it becomes something bigger. About the Role Detection engineering looks a little different here. As a Detection Engineer on Protective Services, you’ll build the technical capabilities that help identify and investigate threats to protected individuals. The signals you’re looking for won’t live neatly in one place—they may surface across identities and endpoints, cloud environments, marketplace activity, support interactions, physical access events, or open-source information. You’ll connect those signals to find what matters. That means building detections, enrichment, and automation; separating meaningful risk from noise; and investigating what you uncover alongside Protective Services partners. This is a hands-on engineering role where you’ll work across code, queries, data pipelines, detection repositories, and production systems. You’ll take detections from an initial hypothesis through deployment and tuning, then use what happens in the real world to make them better. You’ll have ownership of well-understood problems while partnering with senior engineers whe

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Sr. Staff Technical Program Manager – Service Health to join our team. This is a Hybrid role, reporting to the Senior Director of Site Reliability Engineering in the Cloud Operations department. Zscaler is seeking a Sr. Staff Technical Program Manager – Service Health to lead the central Service Health Program across the Zero Trust Exchange. You will define and govern service health metrics and operating cadences, align stakeholders, and leverage Critical User Journey (CUJ) and Lighthouse programs to drive durable operational improvements at global scale. What you’ll do (Role Expectations) Own the company-wide Service Health Program from strategy through execution, defining charters, roadmaps, and success metrics across the Zero Trust Exchange Establish and govern service health practices by defining SLIs, SLOs, and error budgets to operationalize decision frameworks that balance feature velocity w

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 the Senior Manager of Security Operations, you will lead and scale Everpure's global Detection Engineering and Cloud Incident Detection & Response (CIDR) teams. You will own the mission of transforming SecOps into a proactive, intelligence-driven defense engine that measurably reduces risk across cloud, SaaS, infrastructure, and endpoint environments. Partnering closely with GRC, Infrastructure, Product Security, and Engineering leadership, you will establish operational work plans, detection standards, and response strategies that safeguard the Everpure Platform against sophisticated global threats. WHAT YOU'LL DO Direct Detection Engineering & Incident Response Strategy: Establish operational objectives, work plans, and SLAs across threat detection, automated response workflows, and incident triage to continuously optimize Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR). Champion Threat-Informed Detection & Validation: Lead the deployment and continuous refinement of a high-signal detection inventory mapped to MITRE ATT&CK, validating control efficacy through automated simulations, red/purple team exercises, and threat hunt findings. Streamline Telemetry Ingestion & Automation: Oversee the architectural ingestion of multi-cloud (AWS, Azure), endpoint, network, and SaaS log sources into SIEM and SOAR pipelines, reducing false positives and accelerating automated remediation. Lead

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

About Us YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers — ranging from the world's top investment funds to Fortune 500 companies — depend on to drive high-stakes decisions. We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture — recognized by Inc. as a Best Workplace for three consecutive years — emphasizes transparency, ownership, and continuous mastery. What It's Like to Work at YipitData YipitData isn't a place for coasting — it's a launchpad for ambitious, impact-driven professionals. From day one, you'll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Ownership That Matters: You'll lead high-impact projects with real business outcomes Rapid Growth: We compress years of learning into months Merit Over Titles: Trust and responsibility are earned through execution, not tenure Velocity with Purpose: We move fast, support each other, and aim high — always with purpose and intention About The Role We're looking for a seasoned, high-output engineer who can operate within our product portfolio — from our Public Investor platform and Signals application to our AI-powered customer insights agent. You'll execute on well-defined work, but the expectation is that you go well beyond that — proactively identifying opportunities, improving systems, and driving outcomes that move the business forward. You'll be responsibl

WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU Box's FinOps team provides visibility into cost and usage across public cloud, SaaS, and AI — equipping finance and executive leadership with the insights needed to make informed decisions, including those tied to earnings communications. As a Senior Software Engineer on this team, you will own the design and development of the systems behind this critical work. You will join a cross-functional team of software engineers, data engineers, site reliability engineers, and data scientists, reporting to a Senior Engineering Manager. This is a technical leadership position that blends hands-on engineering with broader organizational influence — building and operating forecasting, monitoring, and alerting systems while helping advance how

PagerDuty, Inc. (NYSE: PD) is the global leader in AI-first digital operations. By automatically detecting, diagnosing, and remediating issues, the PagerDuty Platform orchestrates AI agents and automated workflows with context from over 750 integrations. Trusted by approximately two-thirds of the Fortune 100 and nearly half of the Fortune 500, PagerDuty is the industry standard for organizations scaling resilient, autonomous operations. Notable customers include Chipotle, Cloudflare, Docusign, Fox, Nvidia, Salesforce, Spotify, Zoom and more. We are growing rapidly and hiring top talent with leading AI skills across engineering, sales, product, marketing, and beyond as we build the leading digital operations platform. About the role PagerDuty’s Operations Cloud runs on a platform that ingests billions of signals and turns them into real-time action for thousands of customers. We’re looking for a Senior AI/ML Engineer who lives at the intersection of two disciplines: large-scale distributed systems and applied AI. In this role you will design and ship AI systems that run in production at PagerDuty’s scale — powering Incident Management AI Agents, event intelligence, and the LLM-powered capabilities embedded across our platform. You’ll own the full lifecycle, from framing the problem to serving reliably at scale. We are looking for a candidate who is genuinely passionate about building with modern AI — LLMs, agents, and retrieval — but grounded in the realities of building resilient, high-throughput systems. What you’ll do Design and build AI-powered features — LLM agents, retrieval, and event intelligence — that operate on high-volume, real-time event streams, from problem framing through production deployment and monitoring. Architect and own the systems behind them: agent and prompt orchestration, retrieval pipelines, tool/API integrations, and low-latency inference and evaluation at scale. Reason about consistency, throughput, fault tolerance, and cost acros

About Prophecy The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world’s top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. Don’t miss the rocket ship—join Prophecy and build the next data revolution. Position Summary This is a high-impact opportunity to be a senior DevOps engineer in a fast-growing startup, based in Prophecy’s India engineering center. You will own and evolve the foundations that keep our engineering org fast, secure, and cost-efficient at scale — spanning cloud cost management, security DevOps, and CI/CD and engineering operations. You will work with a team of dynamic engineers who take pride in solving complex problems, and you will have the autonomy to set direction in your areas of ownership. The Impact You Will Have Cloud cost (FinOps) Own and evolve our cloud cost optimization program across AWS, Azure, GCP, Databricks, Snowflake and Bigquery building on the programmatic monitoring and controls Analyze billing, asset-inventory, and utilization data across departments to identify wasteful spend and provide actionable insights to optimize it. Develop and maintain cost optimization strategies, roadmaps, and forecasting models Partner with engineering teams to design cost-efficient architectures without compromising scalability or reliability. Build and maintain automation for infrastructure provisioning, scaling, and cost control. Security DevOps Partner with engineering and security to drive our security-hardening program across workstreams such as identity & access governance, secrets & credential lifecycle, cloud access, and CI/CD hardening. Implement and automate guardrails: secrets management, least-privilege access, cr

About the Team At OpenAI, our User Safety & Risk Operations (USRO) team helps protect our products and users from abuse, fraud, safety risks, and other forms of misuse. We translate real-world user and operational signals into timely decisions, practical interventions, and improvements to our products and systems. This role will take on new, ambiguous, or underdeveloped operational risks and help mature them into scalable capabilities. We work across USRO and partner closely with Product, Engineering, Data Science, Product Policy, Legal, Safety, Support, and external vendors or partnership stakeholders. About the Role We are seeking a Senior Operations Analyst to take on complex, ambiguous safety and risk problems and turn them into practical operational solutions that can scale. This is a senior individual-contributor role for a versatile operator who is comfortable moving between queues, investigation, analysis, workflow design, hands-on execution, and cross-functional leadership. Depending on team needs, the role may focus on emerging-risk incubation, cloud deployment partnerships, or other new operational areas. You will be expected to move quickly, work hands-on, and create structure without waiting for perfect requirements or a large support team. The work starts with the problem, not a prescribed process. You may investigate unstructured user signals, stand up a lightweight workflow, build an AI-assisted tool, improve an existing operation, or help a new launch become operationally ready. The goal is to produce durable systems that other people can run, not simply complete a series of individual tasks. The portfolio will change with company priorities and may span established harm areas, emerging-risk incubation, cloud deployments and partnerships, device safety, or new product launches. Some hires may focus primarily on cloud deployment operations, including launch readiness, partner coordination, safety workflows, and operational monitoring. You will ty

(GAQ427R231) About the role As Databricks scales at unprecedented velocity, how we invest our R&D capital—both human and compute—is critical to our scale. We are looking for a Product Finance leader to own R&D capital allocation and engineering operations. You will be a key finance partner to our senior Engineering and Product Operations leaders, with a mandate that spans product-level R&D ROI, global workforce and location strategy, and the rapidly evolving economics of AI-enabled software development. The impact you will have Drive product-level ROI and R&D capital allocation Establish frameworks to measure product-level ROI across a fast-moving platform like Databricks where engineering velocity is extremely high. Operationalize ROI metrics so they directly inform product investment and resource allocation decisions. Define engineering economics in the AI era Partner with Engineering to model how AI developer tooling and internal token spend scale alongside headcount, quantifying the tradeoff between human capital and compute capital. Measure the end-to-end cost of AI-enabled engineering, including the second-order impact on cloud spend, and partner with Engineering to optimize investments. Shape global workforce and location strategy Drive multi-year headcount planning across global engineering hubs, balancing cost per hire, talent density, and university recruiting pipelines. Partner closely with Workplace and Facilities leadership to synchronize R&D hiring roadmaps with global real estate strategy and multi-year CapEx planning. Scale R&D finance operations and build the team Bring systems-level thinking to R&D finance operations, building scalable, automated workflows across headcount management, PO planning, monthly accruals, and SOX audit compliance. Dogfood the Databricks platform to modernize internal finance tooling and deliver self-serve operational visibility to engineering leaders. Build, mentor, and scale a hi

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer to join our Cloud Infrastructure & Operations team. This is a remote role based in the Netherlands, reporting to the Senior Director, Software Engineering. As a Staff SRE, you will leverage your expertise in Linux/UNIX System Administration to build scalable infrastructure and manage platforms like Kubernetes using automation and high security standards. You will troubleshoot complex Linux networking and security issues, manage firewall technologies, and ensure secure access across our global platforms and applications. What you’ll do (Role Expectations) Create and maintain highly scalable solutions based on KVM LINUX, Kubernetes, and Public Cloud Providers Analyze and troubleshoot systems performance and issues across the OS and Applications Maintain platform security and observability using nftables and robust monitoring tools Manage and deploy systems and soft

About the Role Rubrik is looking for a detail-driven Senior Analyst to join our Cloud GTM Operations team, based in India and supporting our APJ and EMEA regions. This role sits at the intersection of Sales, Finance, Engineering, our cloud partners (Microsoft Azure, AWS, and Google Cloud), and our broader alliance and referral partners. It is central to how Rubrik transacts through cloud marketplaces, executes co-funded growth programs, and runs its partner and co-sell motions. You will own the end-to-end creation and delivery of Marketplace Private Offers across Azure, AWS, and Google Cloud — supporting customers and partners through the purchase process — and drive the operational execution of Cloud Funding programs, from deal submission and spend tracking to flagging risks, following up with Account Executives, and standing up new programs. You will also manage day-to-day alliances and partner operations, including co-sell activity in Clazar, deal registrations, alliances reporting, and partner programs such as the Okta referral program. It is a high-visibility, process-oriented role for someone who thrives on accuracy, follow-through, and keeping many moving parts in sync across time zones and stakeholders. Key Responsibilities Marketplace Private Offers (Azure, AWS, Google Cloud) Create, configure, and publish Private Offers across the Microsoft Azure, AWS, and Google Cloud marketplaces, ensuring pricing, terms, and durations match approved deal parameters. Serve as the operational point of contact for marketplace transactions supporting AEs across the APJ and EMEA territories. Validate offer details against Salesforce opportunities and quotes, and coordinate corrections before offers are extended to customers. Track offer status through acceptance and closure, proactively resolving issues that could delay a deal. Maintain accurate records of all Private Offers and connect them to booking workflows. Cloud Funding Program Execution Submit qualifying deals into c

PagerDuty, Inc. (NYSE: PD) is the global leader in AI-first digital operations. By automatically detecting, diagnosing, and remediating issues, the PagerDuty Platform orchestrates AI agents and automated workflows with context from over 750 integrations. Trusted by approximately two-thirds of the Fortune 100 and nearly half of the Fortune 500, PagerDuty is the industry standard for organizations scaling resilient, autonomous operations. Notable customers include Chipotle, Cloudflare, Docusign, Fox, Nvidia, Salesforce, Spotify, Zoom and more. We are growing rapidly and hiring top talent with leading AI skills across engineering, sales, product, marketing, and beyond as we build the leading digital operations platform. About the role PagerDuty’s Operations Cloud runs on a platform that ingests billions of signals and turns them into real-time action for thousands of customers. We’re looking for an early-career AI/ML Engineer who is excited to grow at the intersection of two disciplines: large-scale distributed systems and machine learning. In this role you will help build and ship AI systems that run in production at PagerDuty’s scale — powering Incident Management AI Agents, event intelligence, and the LLM-powered capabilities embedded across our platform. You’ll work alongside senior engineers on real production problems, learning how AI features go from a prototype to something that serves reliably at scale. We are looking for a candidate who is genuinely excited about building with modern AI — LLMs, agents, and retrieval — eager to learn how resilient, high-throughput systems are built, and motivated to grow into an engineer who is strong in both. What you’ll do Contribute to AI-powered features — LLM agents, retrieval, and event intelligence — that operate on high-volume, real-time data, with support and guidance from senior engineers. Help build and maintain the systems behind them — prompt and agent orchestration, retrieval pipelines, tool/API integratio