Metsi Technologies

Backend Engineer

• Contribute to the design and architecture of high-quality, complex systems and software environments with a focus on Kubernetes (K8s) and OpenShift Container Platform (OCP).
• Prepare, review, and evaluate software specifications for products and systems with attention to details in authentication and authorization technologies.
• Develop and implement test strategies for complex software products and environments, ensuring robust and scalable solutions.
• Write, review, and maintain code in Go, C++, Python and other relevant languages.
• Continuously improve the security and performance of our systems through innovative solutions and collaborative efforts.

Software Principal Engineer – Deployment, Kubernetes, Openshift Container Platform, OCP, C++, Python

Sales

• 一般消費者向けPC、PC周辺機器、ソフトウェア等の営業関連業務(提案、見積り、契約など)
• 家電量販店およびAmazonなどのEテールチャネルに対する販売戦略の立案・実行
• 顧客の成長戦略・施策に沿ったソリューション提案およびビジネスプランの策定
• 顧客との中長期的な関係構築を通じた当社製品・ソリューションのシェア拡大

Retail Sales

AI Engineer

• Design scalable AI architectures for customer use cases in line with enterprise and security standards
• Lead implementation of AI software components such as model serving, orchestration, retrieval, and integrations
• Run time-bound proofs of value to demonstrate business outcomes quickly and clearly
• Help migrate AI workloads between cloud, on-premises, and hybrid environments on Dell infrastructure
• Enable customer engineers and platform teams to support and extend solutions after handover
• Design, configure, and implement AI solution stacks, including model serving, orchestration, retrieval pipelines, vector stores, and related components
• Select practical tools and patterns to avoid tooling sprawl and deliver working prototypes and PoVs tied to clear success measures
• Lead PoV sprints (typically a few weeks): refine scope, build and iterate on solutions, and present outcomes and recommendations to stakeholders
• Plan and execute cloud-to-on-prem and hybrid migration patterns for AI workloads onto Dell infrastructure, optimizing performance, reliability, and security
• Take shared responsibility for production readiness and early production stability, including monitoring, performance optimization, and issue triage
• Work closely with AI Data Specialists to define and consume AI-ready data pipelines that support performance and reliability
• Collaborate with AI Strategists and Enterprise Architects to align technical scope with business outcomes and target-state architectures
• Provide documentation, runbooks, and knowledge transfer to customer teams, and contribute to Dell AI Factory reference architectures and playbooks
• Mentor other technical team members on AI architecture patterns, Dell AI infrastructure capabilities, and responsible AI practices

Advisory AI Architect

Full-stack Engineer

• Design, deploy and maintain infrastructure across datacenter and validation lab environments
• Provision new equipment, configure servers, manage networking and storage and troubleshoot issues
• Configure, maintain and troubleshoot servers, networking switches and storage appliances
• Ensure security compliance, monitor vulnerabilities and drive remediation plans
• Automate tasks such as OS deployment, patching and lab infrastructure updates (VMware ESXi/vCenter patching/Linux/Windows)
• Collaborate with engineering partners to translate technical requirements into lab-ready solutions
• Maintain lab automation tools, document procedures and contribute to standardized workflows

Senior Lab Support Engineer

Artificial Intelligence

• Shape AI engagement plans in key accounts, partnering with account teams and senior customer stakeholders.
• Clarify customer AI goals and challenges and translate them into actionable roadmaps.
• Help design or improve AI operating models and governance so proofs of value can become production solutions.
• Align stakeholders across business, IT, data, and risk functions around AI priorities and decisions.
• Represent Dell’s AI Factory strategy in executive discussions, together with Enterprise Architects and Sales leaders.
• Lead or co-lead AI discovery, problem framing, and diagnosis with customer teams to uncover blockers to AI adoption and value realization.
• Co-design AI operating models and governance (roles, decision rights, pilot-to-production processes) that support secure, compliant scaling of AI use cases.
• Drive stakeholder alignment by mapping decision makers, facilitating workshops, and maintaining clear engagement cadences.
• Partner with AI Architects and AI Data Specialists to define scope, success criteria, and readiness for AI proofs of value and production rollouts.
• Define adoption and enablement approaches (change management, training, AI champions, communities of practice) that build long-term customer capability.
• Coordinate FDE Unit engagement rhythms (checkpoints, steering sessions, risk reviews) with customer programs and Dell account leadership.
• Provide feedback to Dell AI Factory offers and playbooks based on field experience and common customer patterns.
• Mentor less experienced team members on AI governance, organizational change, and engagement best practices.

Advisory AI Strategist – FDE Unit

• Lead data readiness assessments to understand what data is available, how it is used, and how it can support AI use cases
• Build and improve data pipelines and integrations that deliver AI-ready data for AI and GenAI workloads
• Design and configure governance and compliance controls that enable secure and compliant use of data for AI
• Help ensure that PoV data flows are designed with production scale, performance, and operations in mind
• Partner with AI Architects, AI Strategists, and customer stakeholders to align data work with overall AI priorities and operating models
• Perform hands-on data integration and transformation work to prepare AI-ready datasets for PoV and production solutions
• Define integration patterns and pipelines that deliver AI-ready data with appropriate security, risk, and privacy controls
• Ensure PoV pipelines are production-aware from the start, including patterns for monitoring, reliability, performance, and maintainability
• Collaborate closely with AI Architects to align data flows with the AI software stack and avoid data-related blockers
• Work with AI Strategists and customer stakeholders to align data work with AI governance frameworks, operating models, and stewardship processes
• Contribute to documentation such as data flow diagrams, data catalogs, governance artifacts, and runbooks for AI data operations
• Coach customer data engineers and platform teams on building and maintaining AI-ready data pipelines and governance practices

Advisory AI Data Specialist – FDE Unit

Account Executive

• Responsible for selling a defined set of products and services
• Act as a technical resource to an assigned account set
• Work collaboratively with multiple sales organizations on promoting and positioning key strategic product and service offerings
• Provide product or BU specific expertise
• Own account sets
• Assist in the on-going technical education and development of the broader team
• Remain up to date on new product, technology and service offerings
• Stay current on industry and vertical solutions
• Collaborate with internal sales teams and external customers

Services Sales Representative

Technical Product Manager

• Drive the strategy, evolution, and execution of Dell’s AI ecosystem for growth and community ISVs
• Define and prioritize AI use cases across the AI landscape
• Identify ecosystem gaps and guide ISV partner strategy
• Engage directly with Enterprise and SMB customers, translating business and regulatory needs into actionable priorities
• Track industry and regulatory trends to identify new opportunities
• Lead cross‑functionally for execution across engineering, solutions, partner enablement, validation, and GTM teams

AI Solutions Technical Product Manager – ISVs

Engineer

• Deliver assigned software / system interfaces with design and process across extended teams
• Prepare documentation for inspection/testing procedures
• Design, develop and implement cost effective methods of testing and troubleshooting software systems and equipment
• Prepare test and diagnostic programs, design test environments and equipment and complete specifications and procedures for new products

Principal Systems Development Engineer

• Proactively identify, qualify and work in partnership with core sales executives in a matrix environment to sell comprehensive AI solutions
• Partner with core sales to identify customer needs, develop new accounts, and expand existing ones through strategic AI solutions
• Drive AI sales strategies, differentiate Dell and partner offerings, and support RFI/RFP responses, proposals, and product evaluations
• Pursue and close high-value AI deals (>US$2M), maintain a robust pipeline (200% of plan), and consistently meet or exceed sales quotas
• Lead presentations, workshops, and seminars; support field sales with best practices and evangelize AI use cases aligned to business outcomes
• Coordinate specialty resources, enable Dell and channel partner teams, and expand the buyer base through joint demand generation activities

AI Solutions Sales Specialist

• Develop sophisticated systems and software based on customer’s business goals
• Contribute to design and architecture of high-quality, complex systems and software/storage environments
• Prepare, review and evaluate software/storage specifications for products and systems
• Contribute to development and implementation of test strategies for complex software products and systems/for storage products and systems

Software Principal Engineer, C, C++, Linux, Filesystems, Biometrics

• Support effective sell through activities within assigned product lines
• Drive the top and bottom line, optimizing all aspects of the portfolio P&L by delivering smart assortment, creating continual channel improvements and delivering the best customer experience
• Develop and support the merchandising vision and strategy, product roadmap and launches in support of goals and objectives
• Apply a thoughtful combination of marketing levers to drive sell-in and ensure sell-through, enabling smooth inventory transitions and migrating excess supply
• Utilize market intelligence and vendor relationships to establish a solid go-to-market strategy that delivers on revenue, units and margin
• Use customer and market research, usage/segmentation and market analysis to create assortment decisions and improvements
• Collaborate with cross-functional teams to develop, plan and implement new business development initiatives, working closely with marketing to launch products and ensure adoption

Consumer Sales Out Merchandiser

DevOps Engineer

• Lead the architecture, reliability, and modernization of our enterprise ALM and DevOps tool ecosystem
• Define and evolve HA, DR, and scaling architectures across all ALM tools
• Build topology-aware designs and continuously measure and improve platform scalability, performance, and resilience
• Ensure all tool services meet strict requirements for availability, reliability, and stability
• Define and drive SLIs, SLOs, error budgets, and operational KPIs for every tool
• Implement applied observability: actionable metrics, logs, traces, alerts, and dashboards tailored to each platform
• Lead root-cause analysis, incident management, and continuous reduction in MTTD/MTTR
• Architect Okta integrations across tools: SAML/OIDC/SCIM, entitlement frameworks, group/role mapping, and auditability
• Ensure compliance with SRO/Security controls: hardening, secrets management, vulnerability remediation, and audit readiness
• Drive the HVA program uplift for tools: threat modeling, compensating controls, and DR testing
• Participate in PQC-readiness assessments and roadmap planning
• Lead automation of infrastructure, upgrades, backup/restore, and operational workflows using Terraform, Ansible, GitOps and tooling APIs
• Create repeatable, consistent patterns for build pipelines (Jenkins/GitHub Actions) and artifact governance (Artifactory)
• Work directly with SMEs and Engineering teams to standardize CI/CD, improve reliability, and reduce operational toil
• Influence architecture and platform decisions across Engineering, Infrastructure, and Security teams
• Mentor Architects, Principals, and Staff Engineers; create reference architectures and operational best practices
• Partner with vendors and internal teams to evolve capabilities and ensure long-term platform health.

Technical Staff – ALM & DevOps Platforms

Security Engineer

• Define and implement enterprise-wide strategy for secure lab operations across all global sites and R&D environments
• Integrate secure-by-design principles into product development, engineering workflows, and lab operations while bridging Cybersecurity and Engineering development teams
• Develop long-term security roadmaps and lead long-range planning for lab infrastructure, risk mitigation, access management, and security investments
• Represent lab operational security in senior leadership forums, strategy reviews, and enterprise program planning while leading a team of security specialists and operations staff across multiple locations in an Agile Scrum at Scale structure
• Lead integration of digital tools and automation for enhanced security monitoring and operational efficiency

Security Director – Lab Services and Operations

• Own the Strategic Backlog and Act as a Strategic Thought Partner: Translate ISG strategy into a prioritized portfolio of initiatives and OKRs that deliver measurable business impact.
• Collaborate with senior executives and cross-functional leaders to shape priorities, influence decisions, and ensure alignment between engineering investments and enterprise objectives.
• Modernize Engineering Operations: Leverage data from Jira, Jira Align, code repositories, and other sources to create a real-time, insight-driven operating model that accelerates decision-making and execution.
• Drive Transparency and Storytelling: Maintain clear narratives, dashboards, and reporting that connect engineering outcomes to business value—speaking the language of strategy and impact.
• Champion Modern Management Systems: Replace legacy operations with agile, data-driven practices that combine business model thinking, advanced analytics, and automation to scale effectively.
• Embed AI at the Core: Partner with development teams to integrate machine learning and generative AI into software delivery workflows — optimizing resource planning and portfolio analytics.