Cloud Platform Engineering Jobs

DIRECTOR OF CYBER SECURITY Location: United States — Remote: West Coast preferred Department: Information Technology — Security, Risk & Compliance Eligibility: U.S. citizenship required ABOUT RAPIDFORT RapidFort is a cybersecurity company focused on helping organizations secure and optimize their software supply chain and containerized environments. Our platform helps teams reduce software vulnerabilities and attack surface while improving the security and efficiency of modern cloud-native applications. We work with commercial enterprises and public-sector organizations operating in highly regulated and security-sensitive environments. Title: Director of Cyber Security Department: Information Technology — Security, Risk & Compliance Reports To: Chief Information Officer, with a standing reporting line to the Audit Committee Direct Reports: Security operations, security engineering, and governance/risk/compliance, including a dedicated compliance specialist Location: REMOTE Employment Type: Full-time Travel: Periodic travel for audits, customer engagements, and leadership meetings On-Call: Incident commander for declared security incidents ABOUT THE ROLE RapidFort Inc. is looking for a Director of Cyber Security to own our security posture and the risk position behind it — what our controls are, whether they work, what remains exposed, and who has accepted that exposure. This is a horizontal role by design. Cloud Operations, Infrastructure Engineering, and Corporate IT each own an estate and run it. You own the standard those estates are held to, the evidence that the standard is met, and the response when it is not. You set the requirement and verify the outcome; the estate owner executes the remediation. That separation is deliberate — it is what makes the assurance worth anything. You will own the ISO 27001 ISMS and the SOC 2 Type 2 program end to end, command security incidents with authority to direct

Senior Security Engineer, Vulnerability Management Here at Datadog, we think about vulnerability management a little differently. We embrace open source software, recognize our role in the software supply chain, and see attackers weaponizing vulnerabilities faster than ever. We are looking for a Senior Security Engineer who can combine vulnerability-management judgment with hands-on engineering to help us scale and improve our vulnerability lifecycle across Datadog’s multi-cloud products and services. In this role, you will turn ambiguous security problems into clear solutions, and work with engineering teams to address root causes and develop technical controls that reduce vulnerabilities earlier in the SDLC. You’ll use AI and automation to help scale the overall vulnerability lifecycle across Datadog. You will use data and sound technical judgment to prioritize risk, and partner with security, product, platform, and compliance teams to bring scalable solutions into practice. 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 Work across the vulnerability lifecycle from detection and impact assessment through risk-based prioritization, remediation, and verification. Use AI and automation to build tools, services, and workflows that make security ideas concrete, validate them quickly, and create alignment for scalable implementation. Reduce engineering toil through a “PRs, not tickets” approach, using automation to enrich findings, identify ownership, recommend or deliver fixes, and track outcomes. Analyze recurring vulnerabilities and remediation failures to identify root causes and opportunities to prevent issues earlier in the SDLC. Partner with SDLC Security, Product Security, platform teams, and engineering teams to balance technical constraints, busin

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. PagerDuty is seeking a Principal Solutions Consultant to join our talented, customer-focused team! You will be a key strategic leader and the "technical face" of PagerDuty across the US region. This is a high-impact role that sits at the intersection of Sales, Product, and Engineering. You won’t just be selling a platform; you will be partnering with CTOs, CIOs, and VPs of Engineering at the US’s most influential enterprises to redefine how they manage digital operations, resilience, and automation. You will act as a bridge between our customers’ long-term strategic needs and PagerDuty’s product roadmap. You will spend your time evangelizing the PagerDuty Operations Cloud, mentoring our high-performing technical sales teams, and acting as a trusted advisor to the C-suite on topics ranging from AIOps and SRE maturity to digital transformation and cloud migration. Key Responsibilities Act as a peer and advisor to customer CTOs and CIOs, helping them navigate complex digital transformations and operationalizing the PagerDuty Operations Cloud within their organizations. Represent PagerDuty as a thought leader at major industry events and through digital content, white-papers, and local media. Partner closely with our Global Product and Engineering le

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We're looking for a Principal Product Manager to lead the strategy and roadmap for Elastic's embedding/reranking and vector database and related capabilities. In this senior role, you'll be the go-to expert on search/vector search, guiding the direction for technologies like vector indexing and hybrid retrieval. This position offers the chance to shape a vital part of our product, working closely with engineering and research teams to ensure that our offerings meet the needs of numerous organizations while keeping pace with the evolving landscape of AI. What You Will Be Doing Conduct market research to uncover emerging trends in search/vector databases as well as SOTA model research in emerging areas to manage unstructured data, working alongside our model team. Evaluate the competitive landscape to enhance product positioning and develop user personas that guide feature decisions. Collaborate with cross-functional teams to align the product strategy with business goals while prioritizing features based on customer feedback and market demands. Establish long-term product goals and milestones for the vector use cases, document AI and unstructured data management to drive its development. Prioritize features and enhancements based on user feedback and technical feasibility. Allocate resources skillfully to ensure timely updates, wh

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. As a member of the Production Operations Engineering team within the platform technology group, you will help keep key user experiences on the platform available, resilient and high performing across time zones and critical business periods, while continually enabling our service teams to deliver new and exciting products and technical features. The team is trusted to respond when production services need support, including through rotational on-call, incident response and urgent operational escalations. You will be empowered to define and lead technical initiatives, helping identify and proactively drive improvements in process, technology and production operations supporting millions of users. This Staff individual contributor role carries broad technical ownership: a recognized expert and hands-on system architect whose decisions shape reliable production services across multiple partner teams. The ideal candidate brings deep full-stack engineering and production experience, strong automation instincts, cloud/container operations expertise, incident leadership, and curiosity for using AI-assisted workflows to improve operational quality, release confidence and delivery speed. Responsibilities: Lead application operations and production support for internal and

As a Staff Engineer on Datadog's Compute – Disruption and Workload Placement team, you'll help define how our Kubernetes fleet scales to meet the demands of rapidly growing AI and cloud-native workloads. You'll work on the systems that ensure engineering teams have the right compute capacity, in the right region, at the right time across AWS, Google Cloud, and Azure. This is a highly technical, high-impact role where you'll shape the future of capacity orchestration, influence platform architecture, and solve infrastructure challenges that directly support Datadog's continued growth. 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: Lead the technical direction of capacity management and workload placement for Datadog's Kubernetes platform spanning 100,000+ virtual machines across multiple cloud providers. Design and build systems that optimize how engineering workloads are scheduled and deployed across regions while balancing capacity constraints, reliability, and performance. Partner across infrastructure teams to evolve multi-region and multi-cloud capacity orchestration as Datadog continues to scale. Develop production software in Go to improve Kubernetes platform capabilities, automation, and operational efficiency. Use data and capacity signals to influence infrastructure decisions, forecast growth, and improve workload placement strategies. Who You Are: You have significant experience designing and operating large-scale Kubernetes-based infrastructure or platform systems. You are an experienced software engineer with strong programming skills, ideally in Go or a comparable systems programming language. You have hands-on experience with at least one major cloud provider (AWS, Google Cloud, or Azure) and understand distributed cloud infrastructure. Yo

As a Staff Engineer on Datadog's Compute – Disruption and Workload Placement team, you'll help define how our Kubernetes fleet scales to meet the demands of rapidly growing AI and cloud-native workloads. You'll work on the systems that ensure engineering teams have the right compute capacity, in the right region, at the right time across AWS, Google Cloud, and Azure. This is a highly technical, high-impact role where you'll shape the future of capacity orchestration, influence platform architecture, and solve infrastructure challenges that directly support Datadog's continued growth. 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: Lead the technical direction of capacity management and workload placement for Datadog's Kubernetes platform spanning 100,000+ virtual machines across multiple cloud providers. Design and build systems that optimize how engineering workloads are scheduled and deployed across regions while balancing capacity constraints, reliability, and performance. Partner across infrastructure teams to evolve multi-region and multi-cloud capacity orchestration as Datadog continues to scale. Develop production software in Go to improve Kubernetes platform capabilities, automation, and operational efficiency. Use data and capacity signals to influence infrastructure decisions, forecast growth, and improve workload placement strategies. Who You Are: You have significant experience designing and operating large-scale Kubernetes-based infrastructure or platform systems. You are an experienced software engineer with strong programming skills, ideally in Go or a comparable systems programming language. You have hands-on experience with at least one major cloud provider (AWS, Google Cloud, or Azure) and understand distributed cloud infrastructure. Yo

About us: Build the future of banking. Zeta is a next-generation banking technology company providing cloud-native, fully stackable processing and core banking platforms for issuers. With a focus on scalability, compliance, and innovation, Zeta empowers financial institutions to modernize their technology infrastructure and deliver secure, seamless digital banking experiences. Our impact runs at real-world scale. Today, over 25 million cards are live on Zeta-powered platforms across 7 countries, supported by a passionate team of 1,700+ Zetanauts across India, the US, EMEA, and Asia. Backed by SoftBank Vision Fund, Mastercard, and other reputed strategic investors, we reached a valuation of $2 billion in 2025. Our focus is on establishing product lines that focus on key outcomes by addressing real customer pain points, modernizing legacy systems, and strengthening core fundamentals. As a result, our systems and platforms support a wide range of banking and payments capabilities, including: 1. Tachyon, our cloud-native banking stack built for population-scale systems 2. Cipher, our unified authentication platform for secure, high-volume banking environments 3. Digital Credit as a Service, enabling banks to launch credit lines on UPI 4. Elena, our intelligent and conversational AI platform for banking 5. Pixel, India’s first digital-native credit card, launched in partnership with HDFC Bank, for whom we also revamped their PayZapp mobile app: Winner of the Celent Model Bank Award for Payments Innovation 2024 6. Sparrow, the leading card experience for non-prime cardholders in the US …and more across cards, payments, lending, and core banking. We are an engineering-first organization that values ownership, bias for action, and long-term thinking. Together, we solve some of the hardest problems in banking tech. Our culture is built around trust, collaboration, and creating the conditions for you to drive impact proportionate to your potential. Reinforcing our com

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 an SAP SAC Consultant at Everpure, you will spearhead the modernization of enterprise analytics, planning, and reporting capabilities within our global Finance Systems ecosystem. Partnering closely with FP&A, Accounting, Data Engineering, and IT teams, you will architect and optimize scalable corporate financial models utilizing SAP Analytics Cloud (SAC) and SAP Datasphere. By delivering actionable executive dashboards, predictive forecasting frameworks, and unified data streams, you will directly empower leadership with trusted insights to accelerate business outcomes. WHAT YOU'LL DO Enterprise Planning Model Architecture: Own the design, build, and continuous optimization of SAP Analytics Cloud (SAC) Planning models for corporate budgeting, rolling forecasts, and complex what-if scenario planning to maximize global financial predictability. Design and optimize semantic models, dimensions, hierarchies, calculations, and KPIs to ensure consistent and trusted enterprise reporting. Executive Analytics & Dashboards: Develop and scale high-impact executive dashboards, KPI scorecards, and automated financial reports. Design and optimize semantic models, dimensions, hierarchies, calculations, and KPIs to ensure consistent and trusted enterprise reporting. transforming raw data into intuitive self-service intelligence. Develop reporting solutions supporting General Ledger (GL), Accounts Payable (A

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Join forces with us on our mission to build a better IT industry. We are looking for a Fullstack Software Engineer to combine strong poduct taste and UX judgment with AI-native engineering to ship production-quality software for the UniFi Fabrics platform, Ubiquiti's license-free, multi-site network management system. Please note that applicants must live in Sweden and hold a valid work permit at the time of application to be considered for this role. Responsibilities: Build end-to-end software solutions across UniFi, Ubiquiti's license-free, multi-site network management system, that spanns frontend workflows, backend services, APIs, cloud infrastructure, identity, permissions, provisioning, orchestration, observability, and admin experiences Identify high-impact opportunities by understanding user needs, operational pain points, and product gaps and turning such opportunities into better software services Use AI coding agents such as Claude Code and Cursor to accelerate multi-file implementation, testing, refactoring, documentation, debugging, and iteration while keeping strong engineering judgment Collaborate closely with PMs, UX/UI designers, frontend developers, backend developers, mobile developers, cloud teams, QA/AQA, and DevOps across Ubiquiti to deliver complete product experiences Ensure systems are secure, reliable, s

About Supabase Supabase is the open-source Postgres development platform that 10M+ developers and thousands of enterprises depend on every day. Database, Auth, Storage, Edge Functions, Realtime and Vector Search all run on one platform: the same compute , the same disks , the same network and control plane, in every region we operate. Supabase's hardest problems live in that platform. Millions of databases, growth that compounds every quarter, and a customer base running from a developer on a free project to a regulated enterprise routing traffic through PrivateLink . Reliability, capacity, cost and the enterprise features that close deals all come back to the same primitives. We're hiring a Product Lead to own them. About the role You own the platform primitives every Supabase product runs on: compute, disks, networking, the API gateway, capacity and regions. You own the enterprise surfaces built on top of them too, including read replicas , custom domains , PrivateLink and Bring Your Own Cloud. You report to the Head of Product and set direction for the whole area alongside the leads for our other product lines. You're the only product person on the platform today, and the team grows under you as the area does. What you'll be responsible for: You talk to customers across the full spectrum. Developers running a single small project, growing startups whose bill is mostly compute and disk, enterprises walking through a network architecture review, and partners building on top of Supabase. You own the problem statement and requirements behind every platform bet. You define what we're building and why before engineering starts, name the cost, capacity and reliability constraints, and keep that clarity current through execution. You decide what gets built, what gets deferred, and what gets cut. Every quarter you're choosing between enterprise unlocks that open new markets, cost and performance wins for the long tail of projects, and net-new capabilities that change what

About the role We are looking for a Product Security Manager to lead a team focused on cloud, application, and AI security within our Product Security organization. This role is responsible for securing our cloud infrastructure, protecting applications, and enabling safe adoption of AI across our products and internal systems. You will work closely with engineering, product, and platform teams to ensure that Chime applications and systems are designed and operated securely. While cloud and application security are core pillars of this role, AI security is an increasingly critical area of focus. You will help define how we safely leverage AI technologies while managing risks such as data exposure, misuse, and insecure integrations. This role operates within a flexible POD model, requiring you and your team to move fluidly across security domains based on business priorities. In this role, you can expect to Own the security posture of cloud infrastructure, application systems, and AI-enabled applications across product surfaces Influence platform teams' roadmaps and drive alignment on security priorities without direct authority Partner with engineering and product teams to embed security into system design and development workflows Lead and grow a team of security engineers, setting a high bar for technical execution, ownership, and impact Define and execute strategy for securing cloud-native architectures and applications at scale Establish guardrails and secure design patterns for AI adoption, including safe integration of third-party and internal AI systems Identify and mitigate risks related to AI systems, including prompt injection, data leakage, and misuse of models or APIs Build scalable controls and automation around identity, access, encryption, and application security, including secure SDLC and vulnerability management processes Lead and support response efforts for security incidents related to cloud, application, and AI risks To begin in this role,

CSQ327R141 As a Sr. Forward Deployed Engineer in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. FDEs are billable and know how to complete projects according to specification with excellent customer service. You will report to the Sr. Manager, Professional Services. The impact you will have: You will work on a variety of impactful customer technical projects which may include building reference architectures, how-to's and production grade MVPs / Greenfield projects Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues What we look for: 8+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role. Comfortable writing code in either Python or Scala. Experience with technical project delivery - managing scope and timelines. Documentation and white-boarding skills. Experience

CSQ127R318 As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases Work with engagement managers to scope variety of professional services work with input from the customer Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: 6+ years experience in data engineering, data platforms & analytics Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosyste

CSQ127R318 As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases Work with engagement managers to scope variety of professional services work with input from the customer Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: 6+ years experience in data engineering, data platforms & analytics Comfortable writing code in either Python or Scala Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at le