Top Tech Jobs & Startup Jobs

Designs and delivers scalable Java backend platform capabilities for discovering, classifying, and protecting sensitive data. Responsibilities include distributed-system development, integrations with data sources and storage systems, performance and concurrency optimization, testing, deployment, troubleshooting, code reviews, and architectural improvement. The role collaborates with engineering, product, and customer-facing teams and requires working primarily in the Prague office.

Design, develop, test, and operate high-throughput distributed data processing services connecting edge devices with the cloud platform. Collaborate with product managers on scalable architecture, improve performance, security, and cost efficiency, and maintain reliable CI/CD automation. Resolve complex integration issues across legacy and modern components while ensuring high availability. The role requires strong Java or Kotlin backend expertise, cloud and Kubernetes experience, distributed systems knowledge, Linux proficiency, and basic networking fundamentals.

Own product cost optimization and gross margin accuracy for hardware solutions. The role manages standard costing, PPV and inventory revaluation forecasting, product profitability across NPI and EOL transitions, target-cost analysis, and obsolescence mitigation. It partners with supply chain, engineering, procurement, commodity management, materials teams, and contract manufacturers. The manager also develops forecasting models, financial controls, process documentation, data governance, and executive-ready reporting.

Lead the global business and go-to-market strategy for FlashArray File, driving launches, competitive positioning, sales enablement, analyst relations, and enterprise revenue growth. Partner with Sales, Product Marketing, Competitive Intelligence, and Engineering to create market narratives, battle cards, sales plays, and executive-ready messaging for enterprise storage customers.

Designs, deploys, and optimizes production Kubernetes clusters across hybrid and multi-cloud environments. Builds CI/CD pipelines, GitOps workflows, and Infrastructure as Code automation for cloud-native platforms. Advises customers on complex container infrastructure challenges, troubleshoots production environments, and partners with engineering and support teams. Architects highly available containerized infrastructure, scale-out data platforms, and storage solutions for modern databases and data-processing workloads.

Lead technical pre-sales activities for enterprise storage solutions, including customer discovery, solution design, evaluations, benchmarks, configurations, RFP responses, and technical presentations. Partner with sales teams, account managers, channel partners, product marketing, and customers to translate business needs into storage and cloud architectures, secure technical wins, support new business, and communicate competitive positioning.

Designs scalable partner readiness architectures and AI-ready knowledge systems for a global technology partner ecosystem. Responsibilities include defining competencies, structuring reusable learning assets, designing persona-based learning journeys, facilitating SME knowledge capture, governing content quality and taxonomy, and applying AI to curriculum design, assessments, localization, search, and conversational learning experiences.

Drive indirect revenue growth across strategic Americas accounts through partner-led and co-sell motions. Build executive relationships with GSIs, hyperscalers, and strategic alliances; develop partner-sourced pipeline; lead joint account planning and complex deal pursuits; create repeatable partner offerings; and collaborate with sales, marketing, value management, and global partner teams.

Leads product vision and roadmap for Everpure’s data platform across hybrid cloud, cloud-native, and enterprise environments. Develops market strategies, identifies growth opportunities, aligns engineering and ecosystem partners, and drives go-to-market execution with sales, marketing, and executives. Serves as a strategic advisor and global spokesperson for the company’s Neocloud and emerging AI ecosystem initiatives.

Architects and develops PLM integrations with ERP and MDM platforms using Java or Python, RESTful APIs, XML, JSON, XSLT, and SQL. Designs data pipelines, configures PLM workflows and data models, troubleshoots system integrations, tunes performance, supports secure deployments, and translates business requirements into scalable technical solutions. The role is primarily in-office in Santa Clara.