Senior Cloud Infrastructure Engineer Jobs

About Druva You won’t just join a company at Druva, you’ll help shape the future of data security at the moment it matters most. We are building a modern standard with our cloud-native solutions, designed to simplify the toughest challenges in cyber resilience for our customers. As the pioneer and market leader in fully managed SaaS data protection, we help organizations secure and recover their data from ransomware, cyberattacks, and operational disruptions without the complexity, cost, or risk of legacy infrastructure. Our momentum is backed by the market: Druva was named a Leader in the 2025 Gartner® Magic Quadrant™ for Backup and Data Protection Platforms, a Leader in the 2025 IDC MarketScape for Cyber-Recovery, and a Leader & Outperformer in the 2025 GigaOm Cloud Data Protection Radar. Even better, customers validate that leadership every day through strong Gartner Peer Insights ratings, standout Net Promoter Scores (NPS), and top willingness-to-recommend results. Visit druva.com and follow us on LinkedIn , X and Facebook . The Role & The Team Druva is looking to hire a Senior Dell Alliances Sales Engineer supporting the Americas region that would be the technical lead for advancing innovation, growth, and scale of Druva and Dell relationships. This position is a key technical advisor responsible for Druva's strategic technology relationship with Dell and will work closely with the Druva’s Dell Alliance Managers to develop and execute on comprehensive and innovative business plans. The ideal candidate is a Data Protection expert and demonstrates competence in SaaS technologies, strategic planning, solution development, technical enablement, and process management. This candidate has a demonstrated ability to think strategically about business, products, and technical challenges. Flexibility in your current skill set and a demonstrable eagerness to learn new things are key criteria to any candidates for this position. You will work in a team

RDQ127R59 Summary As a Senior Applied ML Engineer on the Applied AI team at Databricks, you will use machine learning, scheduling, and optimization algorithms to maximize the efficiency and performance of our infrastructure. Your work will span the entire stack—from cluster management down to query compilation. You will solve complex, high-impact engineering problems to deliver highly optimized, cost-effective workloads for our customers. Impact You Will Have Accelerate Serverless Growth: Drive the scaling and efficiency of Databricks serverless compute products through advanced optimization techniques. Build Systems: Design end-to-end ML4Sys solutions from the ground up within a lean team of domain experts to support Shape Strategy: Define the roadmap for applied ML investments by collaborating with engineering and product leaders across Databricks. Drive Deployment: Architect, train, and deploy state-of-the-art models that directly improve product performance and cost efficiency. Scale Infrastructure: Build robust ML pipelines, data processing layers, model serving components, and production monitoring systems to help scale Innovate: Research and implement novel modeling techniques tailored specifically to computer systems and distributed environments. Minimum Qualifications Education: Background in Computer Science and Master's degree in Machine Learning, Data Science, or a related computational field (AI, Bioinformatics, EE, Physics, etc). ML Experience: Strong background in building, training, and deploying machine learning models in production. Infrastructure Knowledge: Practical familiarity with cloud computing, distributed systems, and modern data processing frameworks. Core Coding: Proficiency in Python, Scala, or Java. Preferred Skills Advanced Education: PhD in AI, Data Science, or a related technical discipline. Industry Experience: 4+ years of machine learning engineering experience in high-velocity, high-growth environment. Systems Domain:

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. Company Description Okta is the leading independent provider of enterprise identity. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 6,500 pre-built integrations to applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. Over 7,950 organizations, including 20th Century Fox, JetBlue, Nordstrom, Slack, Teach for America, and Twilio, trust Okta to help protect the identities of their workforces and customers. Position Description We are seeking an experienced Senior Software Engineer to play a key role in building and scaling the Okta Recovery Vault (ORV) . This team is responsible for Okta's enterprise-grade soft-delete and object recovery capability, designed to protect critical identity objects (Users and Groups) from accidental or malicious deletion. As a Senior Engineer, you will own the technical design, implementation, and operational reliability of critical components within our real-time, high-fidelity recovery system. You will solve complex engineering problems around identity preservation (UUIDs) and relationship restoration—including group memberships, app assignments, and password hashes—ensuring our customers can seamlessly recover from data loss events. Job Duties and Responsibilities Feature Execution: Drive the technical design and end-to-end implementation of complex features, such a

Stories have the power to make the ordinary extraordinary. They help us think bigger, see beyond ourselves, and deepen our connection with others. As one of the world’s leading audiobook and e-book streaming platforms, Storytel brings unlimited listening to millions of users across 25 markets. We’re at the forefront of digital storytelling, driven by a vision to make the world a more empathetic and creative place. Ready for your next chapter? We are now on the lookout for a platform-focused Senior Data Engineer to join the team in Stockholm. About the Team The Data Engineering team is responsible for empowering Storytel with data. We drive the full data lifecycle, from ingestion to delivery, and help ensure that the rest of the business have the data, tools and engineering collaboration needed to help make informed data-driven decisions. As a team, we provide cross-functional competencies in data engineering as well as analytics engineering to the rest of Storytel. Some of the tech stack and tools we work with are dbt (SQL), Looker, BigQuery, Python, Airflow, Terraform, CI/CD, Github, Airbyte as well as other products included within the Google Cloud Platform. Moreover, we like to keep our skills up to date by frequently engaging lab days. About the Role As a Data Engineer, your main responsibility will be to enable the team and the rest of the organization with a data platform and the tools that power data at Storytel. You will have the opportunity to work in a dynamic environment with plenty of opportunities to experiment with new technologies and solutions. Our team is highly collaborative and works in a cross-functional organizational landscape with the following: Example of responsibilities Build core infrastructure: Contribute to building a large-scale, highly performant self-service data platform using cutting-edge technologies Innovate and improve: Drive internal tooling and process development to continuously increase data quality and constantly improve the

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. Get to know Okta Okta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We’re building a world where Identity belongs to you. Access Essentials - Core Product The Access Essentials organization at Okta builds the platform features for authentication and authorization across Okta-protected resources. Our mission is to enable customers to access these resources seamlessly & securely. We develop Okta cloud services and client software that allow users to seamlessly login to devices and use Okta authenticators to access applications securely. The Access Management team is part of Okta R&D Engineering. Learn more about Okta’s Engineering on our blog .x The First Party Apps Platform team First Party Apps Platform team is part of the larger Access Essential - Core Product organization. We develop Okta’s secure web experiences for end-user authentication and access . Our products and features are high-impact and high-visibility. Our team develops the Okta Sign-in Widget,

Here's a summary of the role: Do you love building scalable cloud platforms and solving complex engineering problems with modern technologies? As a Senior Software Engineer at Diligent, you'll design and deliver high-performing , serverless applications that power our global SaaS platform. You'll work extensively with TypeScript, Node.js, AWS, and event-driven microservices, owning services from design to deployment and production monitoring. This is an opportunity to influence technical decisions, mentor engineers, and explore how AI can transform software development and engineering productivity. If you're passionate about cloud-native architectures, distributed systems, and building software that scales to millions of users, we'd love to meet you. Here's a breakdown of what you'll do (not all of it, just the important stuff): Design and build scalable backend services and event-driven microservices using TypeScript and AWS. Develop secure APIs and integrations that power reporting, analytics, and dashboard experiences. Build and maintain serverless solutions using AWS services such as Lambda, EventBridge , SQS, and DynamoDB. Drive engineering excellence through testing, observability, automation, and production readiness practices. Contribute to infrastructure-as-code and CI/CD pipelines using AWS CDK and modern DevOps practices. Mentor engineers, participate in architecture discussions, and champion the use of AI tools to improve development efficiency. These are the essentials you'll need to get an interview: 6-8 years of professional software engineering experience. Strong experience with TypeScript, Node.js, and modern backend development patterns. Hands-on experience building cloud-native applications on AWS. Strong understanding of serverless architectures and event-driven microserv

Salary Range: PLN 350,700- 474,400 Subject to alignment to the responsibilities and duties of the role. Location: Gdańsk - Candidates must be local due to hybrid working policy About the job Make AI accelerator hardware feel native inside Kubernetes clusters. As a Staff Cloud Software Engineer, you will build Go services that connect accelerator hardware with Kubernetes. You will own software components that turn complex compute capability into a usable platform experience. Your work will shape how AI workloads discover, access and scale across cluster infrastructure. That means designing production services where reliability, performance and observability are part of the architecture. You will build CRDs, operators and Kubernetes components for ML and platform teams. You will partner with hardware, cloud and ML engineers on design choices and roadmap priorities. This is a senior IC role with room to set direction. You will mentor engineers, raise code quality and help define how Graphcore delivers cloud-native AI compute. The team and culture The Workload Management team sits between Kubernetes, cloud platforms and accelerator hardware. Work moves from architecture to implementation, review and production readiness without losing system context. You will be trusted to own technical areas, challenge assumptions and move important work forward. The pace is driven by clear priorities, fast feedback and strong engineering judgement. Decisions are made through evidence, prototypes and direct technical discussion. Engineers are expected to speak up early, share trade-offs and help the team learn quickly. What we’re looking for Strong Go engineering experience, with significant experience delivering complex production software Deep Kubernetes architecture knowledge, including CRDs, operators and cloud-native integration patterns Solid Linux understanding, with the ability to debug issues across distributed systems Experience leading technical initiatives and mentoring eng

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

We are looking for a Senior Software Engineer to help us take REDAPL, our Referential Data Platform, to the next level. REDAPL is Datadog's main platform for tracking our customers' infrastructure resources and relationships. The platform enables products where customers can understand, keep track of, and gain insights into their infrastructure related to performance, cost, security, and more. Many Datadog products use REDAPL today such Cloud Security Posture Management, Resource Catalog, Cloud Cost Management, and Service Catalog and others - REDAPL ingests more than 4.5mil updates/second. As a Senior Engineer, you will drive, lead and collaborate on projects both inside and outside the platform. You can expect to contribute to key technical decisions relating to our data ingestion, processing, and query pipelines. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Build a query engine that supports efficient relationship traversals for our most demanding workloads. Contribute to design and drive high-priority, high-visibility projects to increase the platform's value, resilience, and scalability across multiple teams. Lead and guide other engineers through architectural platform decisions Identify potential system risks and trends in reliability and design solutions to address them Provide input on prioritizing engineering-led initiatives in short- and long-term planning and roadmaps Collaborate with internal product teams to understand their requirements and how we plan for their product growth as they integrate and depend on REDAPL Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience You have worked extensively with multiple types of data stores. You have contribute

We are looking for a Senior Software Engineer to help us take REDAPL, our Referential Data Platform, to the next level. REDAPL is Datadog's main platform for tracking our customers' infrastructure resources and relationships. The platform enables products where customers can understand, keep track of, and gain insights into their infrastructure related to performance, cost, security, and more. Many Datadog products use REDAPL today such Cloud Security Posture Management, Resource Catalog, Cloud Cost Management, and Service Catalog and others - REDAPL ingests more than 4.5mil updates/second. As a Senior Engineer, you will drive, lead and collaborate on projects both inside and outside the platform. You can expect to contribute to key technical decisions relating to our data ingestion, processing, and query pipelines. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Build a query engine that supports efficient relationship traversals for our most demanding workloads. Contribute to design and drive high-priority, high-visibility projects to increase the platform's value, resilience, and scalability across multiple teams. Lead and guide other engineers through architectural platform decisions Identify potential system risks and trends in reliability and design solutions to address them Provide input on prioritizing engineering-led initiatives in short- and long-term planning and roadmaps Collaborate with internal product teams to understand their requirements and how we plan for their product growth as they integrate and depend on REDAPL Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience You have worked extensively with multiple types of data stores You have contributed to in

With a strong security engineering background, you’re looking for a role that gives you the freedom to increase MongoDB’s resonance with customers by strengthening our core database products. You’re passionate about solving hard security engineering problems while putting a strong emphasis on customer experience, leveraging your own significant experience. You enjoy collaborating with different teams to innovate and implement pragmatic solutions. 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 the MongoDB Database Server ( Community and Enterprise editions). The MongoDB Product Security organization works with software engineers to design, implement, and operate systems in a manner that protects customer data. It is a multidisciplinary team that covers product, software, cloud, infrastructure, and operational security concerns. The team does the following: Build a developer driven security program where there is tight integration with engineering artifacts, process, and tooling. Use software architecture and coding patterns to reduce the impact of security issues. Be security subject matter experts for our tech stack and products. We are looking to speak to candidates who are based in Cork for our hybrid working model. Responsibilities You will take ownership, define strategy, and drive improvement for parts of our program such as fuzzing, threat modeling, secrets management, or container security Advocate for and lead complex security projects from inception through completion Drive architecture, patterns, and processes across Server Engineering that make security the easiest path Partner closely with engineering teams to design and implement security controls across our software and systems Research and POC new attacks against our systems. Plan and perfo

With a strong security engineering background, you’re looking for a role that gives you the freedom to increase MongoDB’s resonance with customers by strengthening our core database products. You’re passionate about solving hard security engineering problems while putting a strong emphasis on customer experience, leveraging your own significant experience. You enjoy collaborating with different teams to innovate and implement pragmatic solutions. 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 the MongoDB Database Server ( Community and Enterprise editions). The MongoDB Product Security organization works with software engineers to design, implement, and operate systems in a manner that protects customer data. It is a multidisciplinary team that covers product, software, cloud, infrastructure, and operational security concerns. The team does the following: Build a developer driven security program where there is tight integration with engineering artifacts, process, and tooling. Use software architecture and coding patterns to reduce the impact of security issues. Be security subject matter experts for our tech stack and products. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Responsibilities You will take ownership, define strategy, and drive improvement for parts of our program such as fuzzing, threat modeling, secrets management, or container security Advocate for and lead complex security projects from inception through completion Drive architecture, patterns, and processes across Server Engineering that make security the easiest path Partner closely with engineering teams to design and implement security controls across our software and systems Research and POC new attacks against our systems. Plan and per

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 . CSE SRE – Systems Focus Job Description As a Software Dev Senior Engineer, you will own the reliability, scalability, and operational excellence of our Cloud-based services. You will define and enforce reliability standards, drive the adoption of SRE practices across engineering teams, and build the systems and tooling that keep our production infrastructure healthy. We follow a DevOps model: Development and Operations teams are integrated, and the SRE function acts as the reliability layer — setting Service Level Objectives, managing error alerts, and continuously reducing toil through engineering. Key Responsibilities: Lead on call response and triage – help design and lead the 24x7 response team for triage and rally engineering to address service degradation, facilitating process and communications along the way Define, publish, and continuously refine Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs) for all critical services, partnering with product and engineering leadership. Own the error management practices, including monitoring and alerting, and surfacing notable errors to the development teamLead the d

Senior Container Security Engineer – CVE Remediation & Image Hardening About the Role We are looking for a hands-on Senior Container Security Engineer to lead vulnerability remediation and image hardening across Linux-based container environments. This role focuses on deep operating system and container security engineering rather than simple vulnerability scanning. You will analyze, remediate, rebuild, harden, and continuously optimize container images used in modern cloud-native platforms. You will work closely with platform engineering, DevOps, infrastructure, and security teams to build automated remediation pipelines, reduce the attack surface, and deliver production-ready hardened images. What You’ll Do - Own end-to-end CVE remediation across Linux-based container images. - Analyze vulnerabilities across OS packages, libraries, runtimes, and dependencies. - Patch, rebuild, validate, and maintain hardened container images at scale. - Reduce attack surface by removing unnecessary packages, binaries, services, and dependencies. - Build and scale automated remediation pipelines for continuous image patching. - Improve image security posture while minimizing operational disruption. - Generate, validate, and maintain SBOMs to support supply chain visibility and compliance. - Integrate remediation workflows into CI/CD and GitOps pipelines. - Optimize image size, startup performance, and operational efficiency. - Research emerging Linux, container, Kubernetes, and software supply chain threats. - Troubleshoot complex dependency, package compatibility, and runtime security issues. - Help define internal standards for hardened images and secure software delivery. What You Bring - 5+ years of experience in Linux systems engineering, platform engineering, DevSecOps, security engineering, or SRE. - Deep understanding of Linux distributions (Debian, Ubuntu, Alpine, RHEL). - Strong hands-on experience with Docker, Kubernetes, and

P-78 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems, from advancing AI research to powering next-generation applications. We do this by building and operating the world’s best data and AI infrastructure platform. Founded by engineers and driven by customer obsession, we embrace the hardest technical challenges, whether it’s scaling distributed systems across multiple clouds or delivering reliable, low-latency communication between thousands of services. And we’re only getting started. As a Senior Software Engineer on the Application Traffic team , you will design and build the systems that power Databricks’ service-to-service communication across thousands of clusters in a multi-cloud environment. You will also help create abstractions that hide networking complexity from product teams, making connectivity, discovery, and reliability seamless by default. The impact you’ll have: You’ll work across three key areas that define Databricks’ networking stack: Ingress Control Plane : Build the control plane for Databricks’ global ingress layer. Enable programming of API gateways with static and dynamic endpoints, simplify service onboarding, and make it easy to expose APIs securely across clouds. Service-to-Service Communication : Design scalable mechanisms for service discovery and load balancing across thousands of clusters. Provide networking abstractions so product teams don’t need to worry about underlying connectivity details. Overload Protection : Build intelligent rate limiting and admission control systems to protect critical services under high load. Ensure reliability and predictable performance for both customer-facing and internal workloads. What we look for: BS (or higher) in Computer Science or related field 5+ years of experience designing and building large-scale distributed systems Strong proficiency in one or more languages such as Java, Scala, Go, or C++ Experience with service-oriented architectures an