Senior Enterprise Solutions Engineer 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: Are you passionate about driving innovation in the data storage industry? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer to join our dynamic team. As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring Everpure solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services. WHAT YOU’LL DO: Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces

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: Are you passionate about driving innovation in the data storage industry? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer to join our dynamic team. As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring Everpure solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services. WHAT YOU’LL DO: Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. We are looking for a Senior Sales Engineer to join our Enterprise West team. This is a remote role, reporting to the Manager of Sales Engineering. The Zscaler Sales and Go-to-Market team is a global group of professionals who are passionate about delighting our customers, nurturing trusted partnerships, and sharing their expertise to drive a secure, cloud-enabled digital future and further cement our position as the world leader in cloud security. Sales, Customer Success, Sales Enablement, Solution Architects, Business Development, Transformation, and Technology Partnerships all work together to demonstrate the power and agility of Zscaler cloud transformation to the world. What you’ll do (Role Expectations) Create and deliver technical product presentations to prospective customers Gather customer technical requirements to ensure proposed solutions will meet customer goals and needs Lead product evaluations and custo

Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Who You Are As a Senior IT Systems Engineer, you possess extensive expertise in entrepreneurial, startup, or enterprise settings. You provide top-tier, "white-glove" support for stakeholders tailored to their specific needs. You excel in researching technical problems and solutions with a high level of professionalism. In this role, you take charge of the technical design, planning, implementation, and performance tuning for critical enterprise application systems. While you are the primary architect and owner for our core collaboration stack, you are a versatile engineer capable of managing a broad and diverse ecosystem of tools. You lead by example as a technical expert and serve as a mentor to junior systems engineers. Your Success Profile What You Will Work On Core Platform Architecture : Act as the primary architect and administrator for our core enterprise platforms: Atlassian suite (Jira & Confluence), Google Workspace, and Slack. SaaS and AI Enablement : Lead the technical strategy for enterprise-wide SaaS adoption and optimization. You will drive the roadmap for enabling AI-native capabilities across our ecosystem (e.g., Slack 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 You'll be the technical lead for one or two enterprise Account Executives covering [Health / Finance / MSPs / Public Sector] accounts in the Netherlands. You own the technical win: understanding what the customer is actually trying to do, designing the right data platform for it, proving it works, and getting it signed off. You'll spend most of your week with customers and partners, not in internal meetings. We've moved from all-flash arrays to the Enterprise Data Cloud — a single platform for block, file and object, on-prem and in the public cloud, with Portworx for Kubernetes workloads. In the Netherlands we sell through a strong partner channel and directly to some of the country's largest organisations, and the team is growing. WHAT YOU'LL DO.. Partner with your AE(s) on account strategy: which opportunities to pursue, how to position against the incumbent, what the customer's real decision criteria are Run discovery with infrastructure, platform and application teams; translate business requirements into architectures that hold up in production Design and present solutions across FlashArray, FlashBlade, Portworx, Evergreen and Pure Fusion — and know when something outside our portfolio is the right answer Own proofs of concept, benchmarks and competitive evaluations end to end Work alongside our Dutch partners (resellers, MSPs, system integrators) so the customer gets one coherent proposal, not two Lead techn

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. About the General Agents Team The General Agents team, part of Scale’s Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. About the Role As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you’ll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle—from model and system design to evaluation, deployment, and iteration—bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases. Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints. Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings. Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs. Productionize frontier agent techniques (e.g.,

About eClinical Solutions eClinical Solutions is transforming clinical development with elluminate®, our Clinical Data Cloud , helping life sciences organizations unify, analyze, and unlock the value of their data faster than ever before. By combining a modern cloud platform with expert data services, we empower smarter decisions across the clinical trial lifecycle—accelerating innovation that ultimately improves patient outcomes. Our engineering teams build enterprise-grade, revenue-generating products at the intersection of cloud, data, analytics, and emerging AI technologies . If you’re excited about building sophisticated software that makes a real-world impact on healthcare, this is the place to do it. You will make an impact: As a Senior Software Engineer, AI Enabled Platforms will be a member of the elluminate product development team. elluminate is a next generation data integration and analytics cloud platform that enables life sciences organizations to optimize the aggregation, standardization, and analysis of their data throughout the clinical development life cycle. You are primarily responsible for the design and development of core modules for the platform and will be involved in all phases of the software development lifecycle such as reviewing functional specifications, design, development, unit testing, code reviews and release management. This role is ideal for an experienced engineer who enjoys hands-on development , mentoring others, and bringing modern capabilities—including AI-assisted and agentic workflows—into production-grade systems . Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. Your day to day: Design, develop, test, and deploy scalable, secure, and highly interactive web applications Own and evolve core platform modules , from concept through release and support Influence application and system architecture with a focus on performance, reliabilit

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: As a Senior Strategic Solutions Consultant (internal title: Senior Applied Value Engineer )you push the envelope in solving mission-critical problems for our customers. You will work with our most strategic customers, understand their strategy and key challenges, and build Celonis solutions using cutting-edge AI technologies from market leaders such as Microsoft and OpenAI. With Celonis’ market-leading Process Intelligence (PI) Platform we feed operational context to AI so it understands our customers’ businesses and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to executives, and ensure successful implementation, adoption and value realization to increase Celonis' footprint at those customers. The Role: As Senior Applied Value Engineer, you are a strategic pioneer leading the charge in solving complex, business-critical problems for our customers. Working with our most strategic global accounts, you will diagnose their strategy and key operational challenges to discover and build tailored, domain-specific use cases . You will architect and prototype state-of-the-art AI and technical solutions on the

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. The Senior People Technology Solutions Lead is a senior individual contributor responsible for advancing the technology capabilities that support SIE's global People organization. Grounded in People Technology and enterprise HR systems, this role combines a strong understanding of HR processes, platforms, data, integrations, and employee experiences with expertise in emerging technologies such as generative AI, AI agents, agentic orchestration, APIs, Model Context Protocol (MCP), automation, and AI-assisted development. Reporting to the Senior Director of People Technology Services, this role serves as a technical practice lead for innovation within PTS. The Principal Platform Engineer works across HRIS, integrations, reporting and analytics, service delivery, and other People Technology areas to identify opportunities, establish technical direction, develop use cases, and turn emerging capabilities into practical solutions. Success requires strong partnership across organizational boundaries. The role works closely with People & Places as PTS's key business stakeholder, understanding priorities and identifying opportunities where technology can improve employee experience, service delivery, efficiency, and insight. At the same time,

We are looking for a Senior Network Engineer to take ownership of key areas of MongoDB's global network infrastructure. You'll design, deploy, and troubleshoot network and VPN solutions, including Palo Alto Prisma Access at global scale, partner with InfoSec to harden network security, and mentor engineers across the team. This role combines deep hands-on networking expertise with the judgment to prioritize and communicate risk and strategy to stakeholders. What You’ll Do Own the design, deployment, and operation of MongoDB's global network infrastructure Cisco Meraki, including routers, switches, firewalls,access points and IOT sensors Lead the rollout and ongoing management of Palo Alto Prisma Access as MongoDB's SASE , in partnership with InfoSec Administer and evolve MongoDB's network authentication stack, including RADIUS implementations (EAP-TLS, PAP, RadSec and Mac Authentication), ensuring secure and reliable network access Partner with InfoSec to implement and continuously improve network security controls, including VLAN configuration, firewall rules, DNS, DHCP, and IDS/IPS solutions Design and deploy network infrastructure for new and existing global office sites, partnering with Real Estate, workplace, AV, and Physical Security teams Serve as a senior technical escalation point (L3) for complex network issues across the organization Build automation to reduce manual network operations work and improve reliability and observability Act as a technical advisor for MongoDB's relationships with ISPs, hardware, low voltage cabling and other network vendors Mentor engineers across the team and contribute to a culture of technical excellence and self-service Responsibilities Ensure MongoDB's global network infrastructure and VPN remain fault tolerant, reliable, secure, and scalable as the company grows Reduce risk and technical debt across network, security and remote access solutions Communicate network strategy, risk, and incidents clearly to technical and non

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 are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

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 are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

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 are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

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 are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

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 are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST