Senior Cloud Operations Engineer Jobs

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Platform Network Engineering Team Auth0 by Okta is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for over 100 million daily logins worldwide. Our modern approach to identity enables this Tier 0 global service to deliver convenience, privacy, and security so customers can focus on innovation. The Senior Software Engineer Opportunity You will be part of the Platform Network engineering team responsible for all connectivity of Auth0. You will play a key engineering role as we evolve our network architecture to meet the demands of enormous growth and support the hundreds of millions of users who rely on us to provide uninterrupted access. You will get to work with engineers throughout the engineering organization. What you’ll be doing Implement internal and edge networking infrastructure and design solutions that work at global scale and with multi-cloud and multi-region constraints. Carry cross-team initiatives from end to end: code reviews, design reviews, operational robustness, security hygiene, etc. Design and develop new services, tools, and automation to expose network functionality to other Okta engineering and operations teams. Research and implement solutions addressing cross-cutting concerns such as routing, failover, and scaling. Participate in the team’s on-call rotation. What you’ll bring to the role Have 3+ years of

We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Wizards of the Coast, we connect people around the world through play and imagination. From our genre-defining games like Magic: The Gathering® and Dungeons & Dragons® to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection. That’s where you come in! The Director of Cloud Infrastructure & Engineering leads Hasbro's critical infrastructure transformation: moving completely from on-premises data centers to AWS. This role also involves implementing cloud-native security to enable active detection and response. It is an enterprise-wide position supporting Hasbro and its studios, including Wizards of the Coast. Reporting to the VP of Infrastructure Engineering and Operations, this is a senior leadership role. You will be responsible for Cloud Platform Engineering, Data Center Services, and Site Reliability Engineering. You will run the associated P&Ls and FinOps subject area. You will also lead the governance model for a rapidly growing AWS environment. WHAT YOU'LL DO Cloud Platform, Strategy & Reliability Define and own the multi-year cloud strategy and roadmap. This includes target-state architecture and hybrid/multi-cloud posture. Establish cloud as an internal product with clear SLAs and a self-service, paved-road platform model. Own the on-premises to AWS migration end to end, holding the organization accountable to achievements and business outcomes. Own the retained data centers. Manage planning, contract posture, and daily operations throu

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Compliance Analyst, Snowgov Compliance for our SnowTrust GRC team. You will champion key public sector compliance initiatives, safeguard Snowflake's US public sector certifications, and align IT, Legal, Product, Security, and Engineering around the work that powers Snowflake's growth in government markets. AS A SENIOR COMPLIANCE ANALYST, SNOWGOV COMPLIANCE AT SNOWFLAKE, YOU WILL: Own and maintain core FedRAMP authorization artifacts, including the System Security Plan (SSP), Contingency Plan (ISCP), and Incident Response Plan (IRP), keeping them accurate and updated annually. Manage the lifecycle of Plans of Action and Milestones (POA&M), tracking findings, risks, and remediation commitments through closure with clear ownership and realistic deadlines. Coordinate annual 3PAO assessments and continuous monitoring, acting as the primary liaison between Snowflake, assessors, and federal agency stakeholders. Advise Engineering and Operations teams so cloud configurations (FIPS 140-3 validation, boundary protection, access control, logging and monitoring) meet federal and DoD mandates. Perform gap analyses for new or evolving public sector requirements, such as emerging CMMC or GovRAMP mandates and FedRAMP Consolidated Rules, and define technical remed

P-1494 Databricks is the Lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn, andFacebook. For more information, visit www.databricks.com . About the Role We are looking for an experienced and forward-thinking Senior Manager of Identity & Access Management (IAM) to lead the teams responsible for building and operating our enterprise-wide identity, authentication, authorization, and access governance systems. This leader will own the strategy, architecture, and execution of IAM capabilities that support our employees, customers, and platform services at global scale. As the company grows, IAM is becoming a foundational pillar of our security posture and customer trust. You will ensure that our identity systems are secure, scalable, easy to use, and aligned with Zero Trust principles. This is a highly cross-functional leadership role partnering with engineering, security, IT, compliance, and product teams to deliver identity services that are reliable and secure by default. What You’ll Do Strategic Leadership Define the long-term IAM strategy, roadmap, and operating model across the enterprise and product ecosystem. Build scalable identity foundations that support global growth, cloud expansion, and evolving business needs. Establish best practices for identity lifecycle management, authentication, authorization, provisioning, and governance. Build and Lead High-Performing Teams Manage and grow IAM engineering and operations teams responsible for identity services, infrastructure, and tooling. Mentor technical leads

Job Description Digital Experience (DX) ( https://www.adobe.com/experience-cloud.html ) is a USD 4B+ business serving the needs of enterprise businesses including 95%+ of fortune 500 organizations. Adobe Marketo Engage, within Adobe DX is the world’s largest marketing automation platform, is a singular solution that lets enterprises attract, segment and nurture customers — from discovery to biggest fan. It lets enterprises do effective engagement through various surfaces and touchpoints. We seek dedicated and enthusiastic engineers to join our team as we expand the business by developing the next generation products and contributing to our current offerings. If you’re passionate about innovative technology, then we would be excited to talk to you! What you'll do Be an inspiring leader in building next generation Multi-cloud services. Deliver high-performance services that are adaptable to multifaceted business needs, influence ideation & outstanding problem solving Build secure cloud services which provides very high availability, reliability and security to our customers and their assets. Lead the technical design, vision, and implementation strategy Define and apply best-practices to build maintainable and modular solutions with high quality Partner with global product management, UX, engineering and operations teams to help shape technical product architecture & practices, roadmap and release plans Develop and evolve engineering processes and teamwork models, applying creative problem solving to optimize team efficiency Create technical specifications, prototypes and presentations to communicate your ideas. Mentor and guide high performing engin

The Opportunity This is an exciting opportunity to lead during a time of transformation, as we automate our close and scale worldwide accounting operations. We're looking for a forward-thinking leader to own the accounting, close, and analytics across worldwide compensation, cloud, generative AI, technology services, and lease accounting! You'll apply strong U.S. GAAP judgment to complex, non-standard arrangements and drive high-impact process improvements and AI-enabled automation. If you build high-performing teams and thrive on solving novel accounting challenges, we'd love to hear from you! What You'll Do Lead the accounting operations for cloud, generative AI, and technology service arrangements, applying strong judgment on infrastructure spend, consumption-based contracts, and capitalization. Partner with Technical Accounting, FP&A, Procurement, and Cloud Engineering to assess the accounting implications of new arrangements, contracts, and initiatives. Operationalize technical accounting conclusions into journal entries, balance sheet reconciliations, close procedures, and controls. Own the close for worldwide compensation accounts, ensuring accurate accrual, recognition, and reporting of payroll, bonuses, commissions, severance, fringe benefits, and other compensation accruals. Oversee compensation balance sheet reconciliations across all entities, keeping accounts audit-ready and resolving payroll-to-GL discrepancies. Oversee the accounting for complex compensation transactions, including sales-commission capitalization, performance bonuses, and fringe and facility allocation and forecasting. Lead analytics across the compensation portfolio, surfacing trends, drivers, and anomalies, and partnering with HR, Payroll, and FP&A to strengthen forecast accuracy. Own lease accounting, including lease reviews, reconciliations, a

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Cloud Engineering team is hiring a Senior Engineering Manager to lead the group that owns Altana's regulated and sovereign environments. These are the accredited, compliance-constrained deployments our government customers run on, including our FedRAMP environments and dedicated sovereign clusters. You will report to the Senior Director of Platform Engineering and lead a team of three to four engineers across the US, UK, and Australia. The usual playbook does not apply here. Connectivity and automation are constrained and accreditation obligations shape engineering decisions well before anyone opens a design doc. Your job is to make this domain work like a platform instead of a set of individual builds, so that each new accredited environment launches faster than the one before it, and so product teams can keep shipping without having to absorb the regulatory complexity themselves. Your Responsibilities Own the architecture and operation of our regulated and sovereign environments across AWS and Azure, along with the IaC (Infrastructure-as-Code), Kubernetes, and release tooling beneath them Lead the standardization of environment builds into a repeatable blueprint, so the number of environments can grow without headcount growing with it Make sure critical technical decisions in the domain are sound, through design review, RFCs, prototypes, and whiteboard sessions, and hold the quality bar on what the team ships Stay close to the work with hands-on engineering of your own, usually operational tooling or greenfield projects Work with our Security and Compliance team to embed secure-by-default patterns across your environments and make control evidence a routine output of how the team works Keep accreditations healthy, with vulnerability remediation insi

POSITION SUMMARY Clearwater is seeking a skilled and experienced Senior Microsoft 365 and Azure Cloud Engineer to join our team. The ideal candidate will have a strong background in Microsoft 365 Configuration and Management and significant experience with Azure operational tools such as Entra ID and Intune. As an Engineer, you will play a crucial role in managing and maintaining our client’s M365 and Azure-based infrastructure, ensuring its reliability, security, and scalability. SPECIFIC JOB RESPONSIBILITIES M365 and Azure Client Operations Management: Microsoft Entra ID — day-to-day identity management: Conditional Access policies, SSPR, PIM (Privileged Identity Management), directory sync (Entra Connect / Cloud Sync), B2B/B2C configurations, app registrations, enterprise app management Microsoft Intune — device enrollment (BYOD + corporate), compliance policies, configuration profiles, app deployment, co-management with SCCM if applicable, Autopilot Microsoft Purview — data classification, sensitivity labels, DLP policies, insider risk management, communication compliance, audit log review Exchange Online — mail flow rules, connectors, hybrid config, anti-spam/anti-phishing policies (Defender for Office 365) SharePoint Online & OneDrive — permissions governance, external sharing controls, tenant-level configuration Microsoft Teams — policy management, governance (lifecycle, guest access, DLP integration) Microsoft 365 Defender / Defender XDR — incident response integration, alert triage, threat hunting basics Azure Operation Management: Azure IaaS/PaaS operations — Setup VMs, VNets, NSGs, storage accounts, Key Vault Entra ID integration with Azure resources – Setup RBAC, managed identities, configure service principals Azure Policy and Defender for Cloud – Perform and monitor compliance posture management Hybrid connectivity — Setup ExpressRoute, VPN Gateways, Azure Arc PowerShell / Microsoft Graph API — Enable Automation of both Azure and M365 worklo

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 operati

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

Production engineering is a field that involves crafting, building, and maintaining large-scale production systems with high efficiency and availability. It encompasses various areas, including software and systems engineering practices, storage, data management, and services. Professionals in the role of Production Engineers hold specialized knowledge and expertise across various domains, including storage architecture, high-performance distributed storage, data management, systems, networking, coding, database management, prioritization, continuous delivery and deployment, along with open-source cloud-enabling technologies such as Kubernetes, containers, and virtualization. Their responsibilities include ensuring storage architectures are reliable, scalable, and efficient. They optimize data placement and access patterns. They manage large-scale distributed storage systems and ensure low-latency data access for HPC and AI/ML workloads. Storage Production Engineers at NVIDIA ensure that our internal and external-facing GPU cloud services meet reliability and uptime goals as promised to the users while enabling developers to make changes to the existing system through careful preparation and planning while keeping an eye on capacity, latency, and performance. This role also requires a mindset focused on automating storage operations, improving data access efficiency, and optimizing storage performance. Much of our software development focuses on optimizing operations through automation, enhancing system responsiveness, and improving the efficiency of storage and production systems. Since Production Engineers are responsible for the big picture of how our systems interface with each other, we use a breadth of tools and approaches to tackle a broad spectrum of challenges. Practices such as proactive storage performance monitoring, automated fault detection and remediation, scalable data redundancy methods, and integration of intelligent

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview As a Senior Engineering Lead, you will be a hands-on technical leader within the Platforms & Infrastructure team in Enterprise Operations & Technology, helping a growing cloud platform organization raise its engineering maturity and delivery effectiveness. This high-visibility role applies GenAI, AIOps, automation, and modern AWS engineering practices to reduce platform toil, remove operational delays, and design self-service, self-healing capabilities. By codifying reusable patterns, automation frameworks, and guardrails, this role enables application teams to modernize with less platform friction while maintaining secure, scalable, and resilient outcomes in a regulated environment. Our Impact: Enterprise Operations & Technology enables Freddie Mac’s business through resilient operations, technology modernization, risk management, and platform innovation. Our teams deliver the capabilities, standards, and tools that help the enterprise operate securely, efficiently, and at scale. Your Impact: Provide senior technical leadership to a maturing cloud platform team by establishing reusable patterns, reference architectures, automation, and implementation standards. Design self-service and self-healing platform capabilities that reduce manual intervention, ticket-driven support, operational delays, and recurring resiliency issues. Deliver AWS-native automation, serverless patterns, infrastructure as code, and code artifacts that create repeatable platform outcomes. Advance AIOps, GenAI, and intelligent automation across

NVIDIA is looking for an experienced software engineer with infrastructure experience to become a senior member of the Cloud Foundations Automation - Development Team. We build and manage the automation ecosystem supporting NVIDIA's GPU Cloud and NVIDIA SuperPod deployments. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us. If you're creative and autonomous, we want to hear from you! What you'll be doing: Developing software to enable efficient network design, deployment and day 2 management. Building product focused software solutions, used by internal and external customers. Helping us as we transform our workflows and organization into a centrally orchestrated configuration management framework, operating at scale across geographies. Owning and driving integrations with various service APIs such as Cloud Service Providers, to automate creation of environments and auto populate data sources in turn. Building on open source software, designing and implementing data structures and UI interfaces to automate processes from equipment purchase to device config generation to deployment to operations. Streamlining deployment mechanisms and life cycle operations Developing modern service architectures around streaming data and event pipelines. Working with infrastructure domain experts on true, zero touch deployment solutions and utilizing best of breed high performance computing management solutions. Be a proactive problem solver, looking out for new opportunities to improve our services and customer experience. Communicate readily with your peers across the organization, b

For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities. For more information, visit www.sonicwall.com or follow us on X, LinkedIn , Facebook , and Instagram . Role Overview: We are seeking a Senior Director of Software Engineering to lead the architecture, development, and global scale-out of our Security Service Edge (SSE) platform. This role is responsible for building and evolving our cloud-native security platform that delivers comprehensive protection across users, devices, applications, data, and network traffic — spanning branch, hybrid, multi-cloud, and internet environments. The ideal candidate is a seasoned engineering leader with deep expertise in distributed systems, cloud-native architecture, and enterprise security platforms. You will shape the long-term technical strategy, drive execution excellence, and build a high-performing engineering organization in India that supports a globally deployed SaaS platform. Key Responsibilities: • Define and execute the long-term engineering roadmap for the SSE platform aligned with business objectives. • Build, mentor, and scale high-performing engineering teams. • Establish strong architectural governance, engineering best practices, and quality standards. • Champion secure-by-design principles across application code, infrastructure, and CI/CD pipelines. • &

About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role Appier’s solutions are powered by proprietary deep learning and machine learning technologies to empower every business to use AI to turn data into business insights and decisions. As a Software Engineer, Data Backend, you will be involved in helping to build critical components of this platform. Responsibilities Design, develop, and maintain RESTful APIs using Python. Build and manage robust data warehouses utilizing ClickHouse, Trino/Presto and Pinot. Design and develop data pipelines using Apache Airflow and Apache Spark. Work closely with cross-functional teams to develop automation tools that streamline daily operations. Implement state-of-the-art monitoring and alerting systems to ensure optimal system performance and stability. Address queries from applications in a timely and effective manner, ensuring high client satisfaction. Work on cloud platforms such as AWS and GCP, leveraging their capabilities to optimize data operations. Utilize Kubernetes (k8s) for container orchestration to facilitate efficient deployment and scaling of applications. About you [Minimum qualifications] BS/MS degree in Computer Science 2+ years of experience in building and operating large-scale distributed systems or applications Experience in Kubernetes development, Linux/Unix Experience in managing data lake or data warehouse Expertise in developing data structures, algorithms on top of Big Data platforms Ability to operate effectively and independently in a dynamic, fluid environment Ability to wor