Hardware Platform Security Architect Jobs

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 Architect and scale the backend backbone of our go-to-market engine as a Salesforce Developer. In this role, you will partner directly with Sales, Marketing, Channel, and Customer Operations teams to transform complex business requirements into high-impact, scalable technical solutions across Sales Cloud, Service Cloud, and Partner Communities. You will drive operational efficiency by designing seamless integrations and custom applications that empower internal teams to close deals faster and deliver superior customer experiences. WHAT YOU'LL DO Drive Platform Architecture & Custom Development: Design, build, and deploy high-performance Salesforce solutions using Apex, Lightning Web Components (LWC), and Flows to streamline core business workflows and eliminate operational bottlenecks for enterprise stakeholders. Integrate & Scale Ecosystem Connectivity: Connect third-party AppExchange applications and external enterprise platforms via REST/SOAP APIs and OAuth, ensuring seamless data flow, data integrity, and system security across our global tech stack. Optimize Bottlenecks & Operational Performance: Proactively audit, debug, and refine existing codebase and business logic to resolve data inconsistencies and enhance platform speed, reliability, and user productivity across Revenue Operations. Lead Release & Deployment Lifecycle: Own the end-to-end change management and deployment pipeline, adherin

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 1touch.io is a technology company focused on automated, real-time discovery, mapping, and tracking of sensitive personal data. Its AI-powered platform helps enterprises improve data privacy, security, and governance across complex on-premises and cloud environments. Together, 1touch.io and Everpure transform enterprise data from passive storage into an intelligent, context-aware, and governed foundation - making it AI-ready at the source so organizations can securely understand, trust, and activate their data at scale. As a Mainframe Software Engineer, you will help design, develop, and modernize core data discovery and scanning capabilities across enterprise systems. You will focus on a Java-based mainframe agent running on IBM z/OS, enabling scalable access to critical mainframe data sources while supporting the modernization of legacy implementations. Working within a broader Java engineering team, you will contribute to cross-platform solutions, share mainframe expertise, and help evolve modern platform capabilities and architecture. WHAT YOU'LL DO Design, develop, and maintain a Java-based agent running on IBM z/OS systems. Build capabilities to scan and interact with mainframe technologies, including VSAM, QSAM, IMS, DB2, flat files, and system-level resources. Design, implement, and support scalable software solutions from development through production operations. Build and maintain scalable microservices

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 ServiceNow Developer at Everpure, you will architect, design, and implement automated solutions across our enterprise platform to elevate business productivity and employee satisfaction. Partnering closely with business analysts, process owners, and cross-functional teams, you will transform complex requirements into robust, scalable platform architectures. In this high-impact role, you will champion automation and continuous service improvement, ensuring our 24x7 global customer service ecosystem remains resilient, secure, and cutting-edge. WHAT YOU'LL DO Architecture & Solution Design: Lead the end-to-end architecture, development, and deployment of functional workflows, business rules, and secure integrations (REST/SOAP APIs) to enhance platform performance, scalability, and automated capabilities. Cross-Functional Collaboration: Partner directly with process owners and business analysts to translate strategic operational workflows into automated ServiceNow solutions (covering ITSM, CSM, ITOM, HR, or IRM domains), significantly boosting organizational efficiency and stakeholder satisfaction. Quality Assurance & Compliance: Conduct regular code reviews and comprehensive unit testing to ensure all developments adhere to strict security, reliability, and extensibility standards, executing seamless production deployments via established change management processes. Continuous Platform Optimization: Dri

The Behavior AI team builds the AI-based anomaly detection behind Datadog's security products. Our models learn what normal looks like across the billions of logs, events, and telemetry records flowing through the platform every second, and they flag the behavior that does not fit, on every record, in real time, at a cost that makes sense at our scale. What we build does not ship to a single feature. The same models power detection across many of Datadog's security products at once, so the work has impact well beyond any one team. Large general-purpose models are too slow and too expensive to run in that path, so we take the opposite approach: small, custom models, designed for high-throughput stream processing and optimized to run cheaply on every record. We are hiring a Senior Applied Scientist to build these models from start to finish. You will contribute to designing the architecture, training at scale, and the optimization work that takes a model from training to running efficiently on production traffic. This optimization requires a deep understanding of the constraints imposed by both the software and the hardware, together with the applied mathematics to work within them: often it comes down to finding a mathematical reformulation that fits those constraints better, and that judgment can decide whether a model reaches production at all. The work involves a number of open questions. How do you obtain most of the quality of a large model from one that is far smaller and cheap enough to run on the full stream? Where is it worth trading exactness for speed, and how do you reason about the error you accept? How do you make a small model's outputs clear enough that the detection engineers and analysts who rely on it can trust what it reports? If these are the problems you want to work on, we would like to hear from you. At Datadog, we place value in our office culture: the relationships and collaboration it builds, and the creativity it bring

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 You will be the pivotal, end-to-end owner driving the product lifecycle for our cutting-edge data center storage solutions. Your mission is to translate product vision into Mass Production (MP) reality, managing all aspects of the hardware (Mechanical and Electrical Engineering) and the full software stack (firmware, OS). This highly visible role requires you to orchestrate global, cross-functional engineering, manufacturing, and supply chain teams while leading executive-level phase gate reviews to ensure our products deliver optimal performance and compliance, on time and on budget. WHAT YOU'LL DO End-to-End Release Ownership: Own the overall release plan, including scope, milestones, and dependencies. You’ll be the primary point of contact for release lines across Product, Engineering, QA, and Security. Strategic Program Leadership: Manage multiple concurrent workstreams involving cross-functional stakeholders. You will own the "big picture," ensuring that high-level technical architecture aligns with execution. Release Integrity: Own release branch health metrics. You’ll lead bug scrubs, triage critical issues, and define the criteria for merging new payloads (leveraging your experience with Git-based workflows). Operational Excellence: Drive the Product Lifecycle (PLC) phase exit reviews (Phases 0–3). You will define exit criteria, ensure they are met, and formally drive approvals. Risk & Conflict Resolut

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 This role is for an individual contributor joining one of our five Everpure Resilience engineering teams within the Data & Digital Experience (DDX) organization. The product has been running for 3 years and operates like a startup within DDX. The teams are primarily composed of senior-level engineers who take full ownership of their workstreams - from early requirements definition (in close collaboration with Product Managers) to final delivery. Strong communication and collaboration skills are essential, as engineers work autonomously in a highly cross-functional environment. WHAT YOU'LL DO Architect & Deliver: Own the end-to-end design, development, and operation of high-throughput data processing services between edge devices and the Everpure cloud platform. Product Collaboration: Partner with Product Managers to translate complex requirements into scalable, resilient system architecture from concept to production. Performance & Scale: Drive continuous system improvements—experimenting with new tech to boost performance, security, and cost-efficiency for real-time data flows. Ship Fast & Safely: Utilize pragmatic testing, robust CI/CD, and automation to maintain high deployment velocity without sacrificing stability. System Integration: Lead the resolution of complex interoperability challenges between new and legacy components to ensure high availability across all regions. WHAT YOU BRING Distr

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 The Senior Manager, Data & Analytics Products owns a portfolio of enterprise-critical Tier 1 products from strategy and discovery through delivery, adoption, service performance, and value realization. The role connects executive and business priorities to product roadmaps and leads across product, data engineering, analytics, governance, architecture, security, operations, and business teams. The ideal candidate is a data and analytics leader with strong product judgment: commercially grounded, technically fluent, practical in the application of AI, and skilled at aligning senior stakeholders and global delivery teams. Success requires the ability to make enterprise data trusted, analytics products useful, and complex strategic programs executable - without requiring hands-on engineering or model development. WHAT YOU'LL DO Tier 1 insights product portfolio strategy. Own the vision, value proposition, target users, product criticality, investment priorities, outcome metrics, and multi-horizon roadmaps for the company's most important data and analytics products. Balance run, grow, and transform priorities across the portfolio. Discovery and product lifecycle. Lead stakeholder interviews, user research, decision-journey and process analysis, and opportunity sizing. Translate important business questions into product requirements, priorities, roadmaps, success measures, and an ongoing improvement a

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 Everpure is expanding beyond traditional storage to help organizations understand, govern, and activate their data in the AI era. As part of Everpure’s Data Management business, 1touch brings capabilities in data discovery, classification, contextualization, enrichment, and security posture management across SaaS, on-premises, cloud, and hybrid environments. Together, we are building an intelligent data-management platform that helps enterprises turn complex, distributed data into trusted, governed, and AI-ready information. Joining this team means contributing to a high-impact transformation at the intersection of data, cloud, security, and artificial intelligence. As a Senior Golang Engineer , you’ll build core backend capabilities that enable enterprises to discover, understand, and protect sensitive data across complex environments. You’ll solve challenging engineering problems around scale, concurrency, performance, and reliability , with meaningful ownership over how our platform evolves. Working closely with Engineering, Product, Architecture, and DevOps/SRE, you’ll help expand the platform to new data sources and increasingly complex customer environments. WHAT YOU'LL DO Design and build high-performance backend systems in Go that operate reliably across complex enterprise environments. Solve challenging engineering problems around concurrency, distributed systems, scalability, performance, and fault

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 Join the Digital Experience (DX) business unit to deliver the next generation of intelligent, cloud-native fleet management solutions for our customers. You will contribute to our mission of simplifying operations by building scalable SaaS platforms that leverage AI, security, and automation . This role involves working across the full application lifecycle, from Pure IAM to Pure1 Manage , collaborating with cross-functional teams to translate business needs into resilient, production-ready systems. WHAT YOU'LL DO Own the end-to-end design, development, and operation of mission-critical processing services , ensuring seamless, secure, and compliant data flow between edge devices and the Pure1 cloud platform. Partner with Product and Architecture teams to translate complex requirements into scalable, resilient architectural designs that drive significant organizational impact from initial concept through to production deployment. Drive continuous innovation by experimenting with new technologies, platform ecosystems, and architectural patterns to improve system performance, security, and cost-effectiveness for petabytes of real-time data. Maintain a quality-first mindset throughout the entire software development lifecycle, emphasizing comprehensive unit testing, thorough code reviews, and robust Continuous Integration/Continuous Deployment (CI/CD) pipelines. Lead the resolution of complex inter-operab

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. Portworx by Everpure(Formerly Pure Storage) Everpure Acquired Portworx in October 2020, Creating the Industry's Most Complete Kubernetes Data Services Platform for Cloud Native Applications. This acquisition represents Pure’s largest to date and our deeper expansion into the fast-growing market for multi-cloud data services to support Kubernetes and containers. WHAT YOU'LL DO Lead the design, development, and deployment of Portworx's Kubernetes-native backup and restore solution, serving as a technical anchor for the team. Design and build cloud-native services that operate reliably at scale, with a strong emphasis on performance, quality, and efficiency in both design and implementation. Deeply leverage Kubernetes constructs (operators, CRDs, controllers, CSI) to build robust, production-grade data protection capabilities. Ensure security, resilience, stability, and high availability are first-class considerations in every design and implementation decision. Design and develop robust, well-defined APIs that integrate seamlessly with the frontend and Web UI. Drive architectural decisions and technical direction for the product, mentor engineers, and set the bar for engineering quality through design reviews and code reviews. Own end-to-end delivery of complex features — from design documents through implementation, testing at scale, and production readiness. We are primarily an in-office environment and therefore, you will

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 Our Senior Applied AI Engineer builds and operate production-grade AI systems that extract meaning from large-scale unstructured document collections, enabling enterprise data discovery classification, and governance. This role owns the full lifecycle of graph intelligence solutions — from problem definition and data modelling, to building and enriching knowledge graphs, and deploying ML- and LLM-assisted analytics in production. The focus is on semantic and contextual analysis of unstructured data to uncover relationships, patterns, and insights that support AI safety, security, and compliance requirements. WHAT YOU'LL DO Design, build, and deploy graph-based AI solutions, combining knowledge graphs , LLMs, and ML models applied to large-scale unstructured data Define and own data pipelines that extract, transform, and enrich entity relationships into production-grade knowledge graphs Integrate LLMs and ML models into text processing pipelines for classification, embedding generation, document similarity, and semantic analysis Design, deploy, and operate graph and vector databases to support retrieval, reasoning, and analytics Optimize models and inference pipelines for production constraints including latency, throughput, cost, and infrastructure Deploy, monitor, and iterate on ML systems in production environments ensuring reliability and continuous integration Drive architectural decisions and tech

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. SAP SD/MM Analyst THE ROLE As an SAP SD Analyst at Everpure, you will design and optimize robust Order-to-Fulfillment (OTC) and supply chain solutions that power our global commercial operations. Collaborating with cross-functional finance, procurement, and IT engineering teams, you will turn complex business processes into highly scalable SAP systems. By integration-testing SD, MM, and Customer Service modules, you will directly accelerate order processing velocity and improve supply chain predictability. Your mission is to elevate system integrity and build a high-performing, seamless enterprise architecture for our global stakeholders. WHAT YOU'LL DO Order-to-Fulfillment System Design: Own the translation of business requirements into high-quality functional and technical specifications for SAP OTC, SD, and MM solutions, ensuring scalability, security, and alignment with industry standards. Cross-Functional Architecture Integration: Lead configuration and integration mapping across SD, MM, IM, and FI modules—including critical touchpoints with Customer Service (CS) and Service Management (SM)—to establish seamless data flows and unified business processes. Supply Chain Optimization & Analytics: Implement cutting-edge supply chain planning and optimization solutions, leveraging analytics dashboards (SAC) and Demand Planning frameworks to enhance inventory accuracy and operational transparency. Continuous System Healt

AI Software Engineer, Agent Harness Location: Bengaluru, Karnataka (or throughout India remote-friendly with travel) About EnCharge AI EnCharge AI is building the next generation AI platform. Our novel in-memory-computing architecture delivers a 10x step-function improvement in compute energy efficiency and performance for AI inference workloads. As the demands of artificial intelligence move beyond today's models, we believe fundamental underlying infrastructure must evolve. We are an experienced team of AI researchers, silicon & systems engineers, and architects backed by leading investors, poised to become the essential platform for the next wave of AI innovation. The Opportunity We serve open-weight models and our own bespoke checkpoints on EnCharge hardware. The models change often, and the harness around them needs to keep up. You own this layer that runs agents against files, tools, documents with permissions, memory, unattended execution, and real outputs. It will be assembled from a combination of open-source and bespoke code. Key Responsibilities Own the harness architecture end to end — agent loop, safe execution, context management, knowledge base, memory, permissions, orchestration, outputs, interfaces, observability — one component per layer, with clear interfaces so layers can be swapped. Build the pieces with no open-source equivalent e.g. session semantics, enforced permissions, memory in a human-editable file, orchestrator, and outputs. Keep pace with the models: adapters, prompt formats, tool-call schemas, stop conditions, benchmarking and evaluation. Make tool use reliable across models of uneven tool-calling quality — validation, repair, retries, fallbacks. Develop agents, tools, and MCP servers for internal and customer use cases, and review them for security before they ship. Build the evaluation harness: task suites, regression runs on every model or harness change, cost and latency per task alongside quality. Define the interfaces:

About the Team The GPT Infrastructure team builds systems that turn advances in model inference and optimization into reliable production capabilities. We enable OpenAI workloads to be qualified and optimized across new accelerator platforms without requiring a one-off port and tuning effort for every hardware target. Our work spans distributed systems, model execution, compilers and runtimes, performance engineering, secure partner integrations, evaluation systems, and developer tooling. We build the infrastructure that makes optimization workflows automated, reproducible, and trustworthy. About the Role We are seeking a software engineer to help build the platform that qualifies and optimizes inference workloads across heterogeneous compute environments. You will develop both OpenAI-hosted services and secure partner-side software for running long-lived optimization workflows. These workflows generate candidate kernels, runtime configurations, and serving-stack changes; compile and execute them on target hardware; verify their correctness; measure their performance; and use the results to guide further optimization. You will work across model architecture, distributed execution, compilers, runtimes, networking, and accelerator systems. A central part of the role is turning research prototypes and one-off hardware bring-up efforts into reliable, reusable infrastructure with clear contracts, reproducible results, strong observability, and well-defined security boundaries. Key Responsibilities Design, build, and operate APIs and control-plane services for long-running workload qualification and optimization campaigns, including scheduling, retries, checkpointing, resource budgets, and observability. Build secure partner-side execution and evaluation software that can compile, run, verify, profile, and benchmark candidate artifacts on accelerator hardware. Integrate model workloads, hardware profiles, compiler toolchains, runtimes, serving engines, and distributed-exe

MongoDB is seeking an Engineering Manager to join the Atlas Clusters Organization. The organization is responsible for building MongoDB Atlas, our database-as-a-service offering and fastest growing product. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. This includes developing software to interface with the three major cloud providers (AWS, Azure, and GCP) in order to bring security, durability, availability, and performance to all deployments of MongoDB. The Atlas Clusters Fleet Signal Management team is a product engineering team that builds machinery to rollout hardware and software to the Atlas data plane, detect regressions at scale, and automate remediative actions. The core mission is to establish platform stability by owning the rollout and monitoring systems designed to swiftly detect and mitigate potential issues. We are forming a new Atlas Clusters Fleet Signal Management team in the Dublin area. The Engineering Manager who fills this position will be pivotal in growing that team. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What you’ll do Lead a team of motivated individual contributors who are eager to learn and grow Contribute to the code, design, and architecture of the systems your team develops Work with stakeholders throughout MongoDB to build our roadmap and product offerings Work with customers and support engineers to fix issues and become part of our on-call rotation Collaborate with team members to develop our codebase, best practices, and design principles Foster an inclusive and respectful work environment according to MongoDB's Core V