Senior Cloud Infrastructure Engineer Jobs

P-1403 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is looking to solve this problem by providing ready-to-use, point-and-click connectors for a wide variety of sources, including enterprise applications (like Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files. In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform capability. Every surface in Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion capabilities and the lead for this role will need to work closely with other products to embed Connect into these surfaces. We are looking for engineers with experience in core Database internals to join our Lakeflow Connect team. A key part of Connect is to extract data from OLTP systems while imposing minimal load on production systems. To do this efficiently we are building systems that use techniques such as incremental data capture, log parsing, etc. We are looking for engineers who continue to be hands on and are looking to make a large impact on an important problem for the company. The Impact you will have: Solve real business needs at large scale by applying your software engineering. Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers Low level systems debugging, performance measurement & optimization on large production clusters. Build architecture design, influence product roadmap, and ta

P-1348 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is important to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a Senior Software Engineer working on the Data Platform team you will help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, Applied AI and many more. You will develop a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, data consumption layers etc. You will do this using the latest, bleeding-edge Databricks product and other tools in the data ecosystem - the team also functions as a large, production, in-house customer that dog foods Databricks and guides the future direction of the product. The impact you will have: Design and run the Databricks metrics store that enables all business units and engineering teams to bring their detailed metrics into a common platform for sharing and aggregation, with high quality, introspection ability and query performance. Design and run the cross-

P-1347 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration. And we're setting up the team from scratch in Bengaluru , India. We are seeking an experienced Senior Software Engineers with a networking background to join the Networking Infrastructure team. As one of the seed members of the Bangalore site, you will be focussing on building new backend connectivity services that powers millions of VMs running on Databricks. You will also be leading the design and development of new services that powers the connectivity between our control plane and compute plane. This new platform enables Databricks to increase scalability of our compute plane while also efficiently use cloud resources. You will work closely with cross-functional teams, including product management, operations, and other engineering teams, to ensure the delivery of robust, scalable, and efficient networking systems. This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multi-cloud and distributed systems challenges. What we look for: 8+ years of production level experience in one of: Python, Java, Scala, C++, or similar language 4+ years of experience developing large-scale distributed system s from scratch Experience working on a SaaS platform or with Service-Oriented Architectures. Extensive experience working in the Networking dom

P-926 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration. And we're setting up the team from scratch in Bengaluru , India. We are seeking an experienced Senior Software Engineers with a networking background to join the Networking Infrastructure team. As one of the seed members of the Bangalore site, you will be focussing on building new backend connectivity services that powers millions of VMs running on Databricks. You will also be leading the design and development of new services that powers the connectivity between our control plane and compute plane. This new platform enables Databricks to increase scalability of our compute plane while also efficiently use cloud resources. You will work closely with cross-functional teams, including product management, operations, and other engineering teams, to ensure the delivery of robust, scalable, and efficient networking systems. This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multi-cloud and distributed systems challenges. What we look for: 6+ years of production level experience in one of: Python, Java, Scala, C++, or similar language 3+ years of experience developing large-scale distributed system s from scratch Experience working on a SaaS platform or with Service-Oriented Architectures. About Databricks Databricks is the Data and AI comp

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. Okta Workflows is the foundation for secure integration between cloud services. By harnessing the power of the cloud, Okta allows people to quickly integrate different services, while still enforcing strong security policies. It integrates directly with an organization’s existing services such as directories and identity systems, as well as many other applications. With Okta Workflows, organizations can automate processes quickly, easily, at a large scale, and low total cost - all within an intuitive, no-code interface. Hundreds of customers, including NTT, MGM, Netflix, and more, trust Okta Workflows to help their organizations work faster, boost revenue, and stay secure. Position Description We are looking for a full-stack JavaScript engineer that has a deep understanding of both backend service engineering and user interface development. In this role, you will be a vital part of our Workflows Integrated Development Environment team. You will share our passion and great pride in building elegant solutions and will join an engineering team that prioritizes scalability, rigorous code reviews, automated testing, and an iterative approach to build high-quality, next-generation enterprise software. You will be part of a full-stack engineering team at Okta that provides opportunities to investigate new technologies and share knowledge, tools, code, and best practices. You will get an opportunity to solve hard problems while partnering with product management an

Identity has become a critical to an organizations security posture. This is true across their entire digital landscape include cloud, traditional on prem and emerging technologies like agentic ai. Britive is at the forefront of a modern approach to delivering identity security with the only modern privileged access management platform that provides unified Privileged Access Visibility, Dynamic Privilege Management and Secrets Governance across infrastructure, platforms & SaaS. Our patent-pending technology is deployed at companies of all sizes around the world, including Fortune 500 companies. We have repeatedly ranked among the hottest Cloud Security startups. Britive is founded by CyberSecurity industry veterans with a successful prior exit and is backed by top-tier VCs. About You You are a passionate Senior Software Engineer who wants to develop and scale our multi-tenant SaaS applications on the AWS platform. You have a strong software engineering background and advanced knowledge of the AWS platform, tools and services. From day one, you must be able to hit the ground running and bring all your experience to the team to contribute in the building of a great product. Most importantly, you have a positive “can do” attitude and a passion for delivering technical solutions in a fast-paced startup environment. This position will report to the Engineering Manager. Your Impact Key Responsibilities: Responsible for design and development of a large-scale application stack running on AWS. Collaborate with product management and engineering teams to design and integrate software, conduct code reviews, and troubleshoot product issues. Perform proof of concepts to identify best design options including usage of AWS services. Research integration options for various SaaS/IaaS technologies, including APIs for user administration and incorporate this research in our application int

Identity has become a critical to an organizations security posture. This is true across their entire digital landscape include cloud, traditional on prem and emerging technologies like agentic ai. Britive is at the forefront of a modern approach to delivering identity security with the only modern privileged access management platform that provides unified Privileged Access Visibility, Dynamic Privilege Management and Secrets Governance across infrastructure, platforms & SaaS. Our patent-pending technology is deployed at companies of all sizes around the world, including Fortune 500 companies. We have repeatedly ranked among the hottest Cloud Security startups. Britive is founded by CyberSecurity industry veterans with a successful prior exit and is backed by top-tier VCs. Key Responsibilities Ensuring Quality standards across various projects in Britive by adhering to quality engineering practices, testing and release planning for Quality Engineering team across releases. Performing manual testing and help maintain quality standards of software. Collaborate with QA team members, development, UI/UX engineers, and project managers to build a creative, powerful and unified user experience for our cloud access application. Analyze product requirements and develop test designs, including test strategy, test setups by identifying right test cases. Reviewing all product artifacts related to testing (e.g. plans, requirements, specifications, tests, test results, traceability, design reviews, reports, etc.). Involved in all quality engineering activities including working with Performance Testing Team and ensuring all the testing activities for the release are adhered too. Continually work on improving metrics gathering and bring up initiatives to improve the Quality Engineering team. What will you need? Required Skills: Prior experience working in a security software product comp

NVIDIA's Digital Marketing Operations team is seeking a Senior Data Engineer to help build the shared data infrastructure that powers customer engagement, campaign intelligence, and marketing analytics at scale. Our data platform transforms customer behavioral signals, audience definitions, consent records, campaign metadata, and activation outputs into trusted, governed data products for marketing, analytics, personalization, campaign operations, and regional teams worldwide. These products enable audience segmentation, campaign performance measurement, privacy-compliant data activation, identity resolution, and the continued growth of NVIDIA's marketing technology ecosystem. We would love for you to apply today! What You'll Be Doing: Own a key data domain within Digital Marketing Operations, spanning pipelines, data products, audience services, and consumer teams. Shape its architecture and interfaces while anticipating needs related to scale, reliability, performance, privacy compliance, security, cost, and compatibility. Lead complex, cross-functional initiatives. Collaborate across engineering, marketing, and operations stakeholders to translate requirements into clear data architectures, write high-quality code in the critical path, and drive integrations safely into production. Architect, implement, and evolve batch and streaming pipelines that ingest, transform, reconcile, and serve customer behavioral, audience, campaign, consent, and activation data at scale. Build reliable, maintainable systems leveraging distributed processing frameworks, workflow orchestration tools, cloud data warehouses, object storage, and pub/sub messaging platforms. Build and evolve shared data quality frameworks and engineering standards that improve pipeline reliability, consistency, and efficiency across teams. Lead production incident investigations across pipelines, distributed processing, storage, an

Work Flexibility: Hybrid Position Summary The Network Security Engineer is responsible for designing, reviewing, implementing, and supporting enterprise network security architectures to protect the organization’s infrastructure, applications, and external connectivity from cybersecurity threats. This role combines strong network security engineering and architecture expertise with hands-on cybersecurity operations experience. The ideal candidate can independently assess network security risks, design appropriate security controls, and support security investigations in collaboration with Cybersecurity, SOC, and Incident Response teams. The role focuses on securing Internet-facing applications, DMZs, extranets, third-party connectivity, network segmentation, and enterprise security boundaries. This is a cybersecurity-focused engineering position, not primarily a network infrastructure support or firewall administration role. What will you do: Design, review, and implement secure network architectures for enterprise, cloud, hybrid, and remote environments. Evaluate and secure DMZs, extranets, Internet-facing applications, third-party connections, and external access pathways. Identify network security risks and define appropriate technical controls, including firewall policies, segmentation, access restrictions, encryption, monitoring, and compensating controls. Establish and maintain security zones, network segmentation, and trust boundaries to reduce unauthorized access and lateral movement. Engineer and manage enterprise security technologies, including Next-Generation Firewalls (NGFW), VPN, IDS/IPS, Network Access Control (NAC), and related perimeter security solutions. Investigate suspicious network activity and support cybersecurity incident response by analyzing firewall

NVIDIA is looking for a Senior ASIC Verification Engineer to help verify our global IP! This position offers an opportunity to impact an array of products while collaborating with teams from design, architecture, verification, and integration. At NVIDIA, we have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. In this position, you will partner with the design and architecture teams to help make the right implementation choices, craft and implement verification test plans, maintain regressions, close coverage and sign off design or both functional correctness and for meeting performance expectations. This position offers the opportunity to have a real impact on multiple product lines including consumer graphics, self-driving cars, HPC, cloud computing, and AI! What you'll be doing: Develop test plans, tests and verification infrastructure for verifying global IP across multiple products Define, develop, and automate flows and methodologies to efficiently build, deploy, and verify generated RTL Ensure code and functional coverage of all the RTL which you will verify Build verification components using SV/UVM methodology Driving coverage-based verification closure Collaborate with design teams across NVIDIA to find corner cases and resolve verification related issues What we need to see: BS/MS in Electrical or Computer Engineering (or equivalent experience) 5+ years of proven design verification experience Experience in pre-silicon verification (UVM, SystemVerilog), ASIC design/implementation flow, and design automation Programming and scripting experience in Perl or Python Excellent debugging and analy

The Atlas API Experience (APIx) teams are part of MongoDB Atlas Data Services, a diverse group of individuals who develop the capabilities to run MongoDB globally (see MongoDB Atlas ). Our software and services allow users to deploy fault-tolerant, scalable, globally distributed MongoDB clusters in minutes. APIx’s mission is to craft delightful experiences for developers of all levels onboarding and working with MongoDB. We're looking for a Software Engineer to join our growing team, building tooling to automate infrastructure on any cloud and developing MongoDB integrations that seamlessly integrate into partner frameworks or solutions. As part of the team, you will propose, design, build and support product features supporting integrations such as AWS Cloud Formation & AWS CDK, Terraform & Vault. You will build our next generation Atlas SDK for an expanding set of languages. Automation & DevOps is at our core, with the number of Integrations & SDKs continuing to grow. You will be part of building a platform that allows our team to scale with that growth. We are looking for passionate, intrinsically-motivated software engineers who consistently work to grow their skills and want to take their careers to the next level. No prior experience with MongoDB technologies is required! During interviews, you will meet most of our team and have the opportunity to ask questions about working at MongoDB. We pride ourselves on our team's culture and on being an inclusive and collaborative group that Builds Together . We are looking to speak to candidates who are based in Dublin for our hybrid working model. What will you do? Propose, design, implement and support product features for MongoDB Atlas DevOps & SDK tooling, such as MongoDB Atlas Cloud Formation Resources , MongoDB Atlas Terraform Provider & MongoDB Atlas Go SDK Build tooling that enables MongoDB users and developers to succeed, using programming languages such as Golang (primary),

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. Senior Software Reliability Engineer - Data Platform About the Team The Data Platform team is responsible for the foundational data services, systems, and data products for Okta that benefit our users. Today, the Data Platform team solves challenges and enables: Streaming analytics Interactive end-user reporting Data and ML platform for Okta to scale Telemetry of our products and data Our elite team is fast, creative and flexible. We encourage ownership. We expect great things from our engineers and reward them with stimulating new projects, new technologies and the chance to have significant equity in a company. Okta is about to change the cloud computing landscape forever. About the Position This is an opportunity for experienced Software Reliability Engineers to join our fast growing Data Platform organization that is passionate about scaling high volume, low-latency, distributed data-platform services & data products. In this role, you will get to work with engineers throughout the organization to build foundational infrastructure that allows Okta to scale for years to come. As a member of the Data Platform team, you will be responsible for designing, building, and deploying the systems that power our data analytics and ML. Our analytics infrastructure stack sits on top of many modern technologies, including Kinesis, Flink, ElasticSearch, and Snowflake. We are looking for experienced Software Engineers who can help des

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 Senior Security Operations Engineer – Attack Surface Management , you will help engineer, operate, and continuously improve our enterprise Attack Surface and Vulnerability Management capabilities. You will focus on discovering and understanding our attack surface, identifying vulnerabilities and exposures, prioritizing them based on real-world risk, and driving remediation across our global environment. The role spans Attack Surface Management, Vulnerability Management, Zero Trust, Secrets and Credential Security, SSPM, Deception, Detection Engineering and Security Automation. We are looking for engineers with strong ASM/Vulnerability Management fundamentals and deeper expertise in one or more adjacent security domains. WHAT YOU’LL DO Engineer and improve enterprise Attack Surface and Vulnerability Management across cloud, infrastructure, endpoints, applications, and internet-facing environments. Discover and correlate assets across security platforms and identify unknown, unmanaged, stale, and externally exposed assets. Drive risk-based vulnerability prioritization using asset criticality, exposure, exploitability, known exploitation, threat intelligence, and compensating controls. Establish remediation workflows and SLAs and partner with asset owners to drive measurable risk reduction. Operate and troubleshoot Zscaler ZIA/ZPA, including SSL inspection, access policies, connectivity, and Zero Trust controls.

Who You Are You are a seasoned security professional with a deep passion for uncovering vulnerabilities and improving product security through technical assessments and hands-on penetration testing. You pride yourself on being able to execute sophisticated security tests, identify issues, and implement pragmatic solutions, all while keeping the customer experience central. You enjoy working collaboratively across teams and have the ability to communicate complex technical concepts in a clear, approachable manner. Who We Are The MongoDB Product Security organization is a diverse collection of individuals working together to scale MongoDB’s security, both security of the products themselves and the security features we offer to customers. The team is responsible for assessing the security of our products including MongoDB Atlas Cloud , Ops Manager , Kubernetes Operator , and the MongoDB Server ( Community and Enterprise editions). Our team provides assurance that new MongoDB products and features are built to meet our customers’ high security needs through rigorous threat modeling, code analysis, and penetration testing. The MongoDB Product Security organization works with software engineers to design, implement, and operate systems in a manner that protects our customers and their data. It is a multidisciplinary team that covers product, software, cloud, infrastructure, and operational security concerns. The Product Security team: Conducts rigorous penetration testing and security assessments of MongoDB products Develops and deploys advanced AI tooling and modern automation to enhance assessment efficiency and workflows Works closely with Product and Engineering teams to advocate for security best practices and remediate vulnerabilities Builds a developer-driven security program where there is tight integration between engineering artifacts, process, and tooling Uses software architecture and coding patterns to reduce the impact of security issues Role Responsibiliti

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. Title of Job: Sr . Software Engineer We are looking for a Senior Software engineer who is passionate about writing the tools to integrate and support to build large-scale, high-demand software in a fast-paced agile environment. You will share our passion for test-driven development, continuous integration and automation to produce frequent high-quality releases. Our engineering team is fast, innovative and flexible; with a weekly release cycle and individual ownership. We expect great things from our engineers and reward them with stimulating new projects, emerging technologies and the chance to be part of a company that is changing the cloud computing landscape forever. You will get an opportunity to work in scaling our infrastructure to the next generation. Our scale is already huge in running tens of thousands of tests for every commit automatically. This comes with challenges in speed by reducing compute time from days to a few minutes. Responsibilities: You will be part of the team that builds, maintains, and improves our highly-automated build, release and testing infrastructure. Scripting, tools-building, and automation are paramount to Okta Engineering; everybody automates. You will be creating and coding tools for internal use to support continuous delivery. Team up with Development, QA and Ops to continuously innovate and enhance our build and automation infrastructure Collaborate with peers and stake-holders to cre