Jobs at Zealogics LLC

Leads multiple mechanical engineering projects from requirements through design, analysis, validation, and release. Provides technical direction and mentorship to senior engineers, reviews mechanical concepts and designs, manages technical risks, and ensures quality, manufacturability, reliability, schedule, and cost objectives. The role includes customer communication, design reviews, resource planning, cross-functional collaboration, engineering process improvement, and resolution of complex mechanical engineering issues.

Leads hands-on security, automation, compliance, and operational foundations for a Managed AI cloud platform. Designs CI/CD pipelines, Infrastructure as Code, security controls, compliance validation, observability, deployment automation, secrets management, AI governance, and incident response across Azure and GCP. Provides technical leadership, mentors engineers, and participates in architecture, code review, and platform governance activities.

Leads enterprise IT service management across global, multicultural, and multi-vendor environments. Establishes ITSM goals, governance, metrics, and continuous-improvement practices while managing stakeholders, third parties, resources, and cross-functional teams. Applies ITIL, Lean Six Sigma, ISO 20000, DevOps, and Site Reliability Engineering concepts to improve service outcomes, reduce toil, and identify automation opportunities. Requires strong leadership, communication, planning, analysis, and business stakeholder-management skills.

Design and implement enterprise data architectures spanning data lakes, warehouses, data fabric, and MDM. Build scalable pipelines and integration frameworks, establish governance and data quality standards, enable AI/ML initiatives, develop data strategies, and optimize platforms for performance, scalability, and reliability. Collaborate with business and technology stakeholders across the organization.

Manage IT business continuity and disaster recovery programs, including policies, procedures, standards, risk management, audits, and regulatory compliance. Partner with business leaders, engineering, and IT operations to assess impacts, maintain resilience processes, support ISO and SOC 2 audits, and brief executives. The role requires knowledge of ITIL, cloud technologies, information security, hosting environments, and multi-vendor operations, plus independent leadership and identification of ITSM automation opportunities.

Lead hardware FMEA, reliability analysis, risk mitigation, qualification testing, failure analysis, and reliability growth activities across electronic, electrical, and electromechanical products. Develop test strategies, analyze reliability data, oversee environmental and stress testing, and drive corrective actions in collaboration with design, manufacturing, quality, supplier, and engineering teams.

Leads Americas data center hardware break/fix operations, including incident and change management, preventive maintenance, emergency response, compliance, vendor oversight, financial controls, reporting, staff leadership, and sustainability initiatives. Owns operational performance, service quality, post-incident reviews, corrective actions, documentation, stakeholder communications, and coordination with facilities teams and technical vendors during critical events.

Leads complex, multi-million-dollar technology infrastructure programs from charter through implementation and closure. Develops roadmaps, governance, budgets, resource plans, risk mitigation, and integrated execution plans across network, cloud, data center, cybersecurity, engineering, finance, procurement, and vendor teams. Presents decisions and risks to executives, resolves cross-functional dependencies, and drives delivery in globally distributed, regulated environments. The role requires deep infrastructure knowledge, financial acumen, strong communication, and the ability to lead through influence.

Lead the architecture and delivery of scalable, secure enterprise AI and generative AI solutions. Design systems using LLMs, RAG, AI agents, embeddings, vector databases, and cloud AI platforms. Establish architecture standards, governance, security, and responsible AI practices; evaluate models and platforms; integrate solutions with enterprise applications; lead technical reviews and proof-of-concepts; and guide implementations from concept through production. Mentor engineering teams and communicate AI strategies to technical and business stakeholders.

Manage financial reporting, US accounting and tax compliance, subsidies, budgeting, forecasting, cash flow, risk management, and strategic financial planning. Lead finance teams, analyze business performance, communicate financial insights to stakeholders, and support organizational growth while ensuring regulatory compliance and timely delivery in a fast-paced environment.

Leads enterprise DevOps transformation across cloud-native and hybrid environments. Responsibilities include managing DevOps teams, establishing standards and governance, designing CI/CD pipelines, automating Azure and AWS infrastructure, leading Kubernetes operations, and driving monitoring, reliability, incident response, disaster recovery, security compliance, roadmap planning, and team mentoring.

Designs and leads enterprise-scale Microsoft Azure solutions, cloud modernization, microservices, secure API ecosystems, and AI-powered platforms. The role develops Azure OpenAI, Azure AI Search, and RAG solutions; establishes architecture standards, governance, security, scalability, and resiliency; and drives DevOps, CI/CD, monitoring, and observability. It also produces technical roadmaps, leads architecture reviews, and collaborates with business, engineering, security, product, and executive stakeholders.

Develop Python scripts for SEM image analysis, feature extraction, and image-pattern classification. Create customized short-term scripting solutions for customer needs, analyze large datasets, visualize results, and design user interfaces. Provide approximately 50% onsite customer support, including travel to Hsinchu, China, South Korea, and other locations, with the remaining time available for work from home.

Leads requirements gathering and analysis for a publication management system. Engages researchers, faculty, librarians, compliance teams, and IT stakeholders; translates scientific, bibliographic, and compliance needs into functional requirements; facilitates workshops; creates BRDs, specifications, user stories, workflows, and process maps; and supports design reviews, testing, and user acceptance throughout the software development lifecycle.

Develop and deploy production-grade machine learning models, manage model lifecycles through MLOps practices, and support ML platforms and operations. The role requires strong Python, PyTorch, TensorFlow, Azure, software engineering, and coding expertise. Preferred experience includes generative AI, large language models, retrieval-augmented generation, vector databases, and semiconductor or manufacturing domains.

The role involves developing and optimizing embedded systems software for motion control, device drivers, and communication protocols, collaborating with cross-functional teams.

Lead the architecture and development of a proprietary Text-to-Code generation engine for Windows Desktop Automation, focusing on AI integration and system interaction.

The Design Engineer will work on electro-mechanical systems, designing submodules from concept to production, including 3D CAD modeling and technical drawing creation.

Design and develop applications for the Linux platform, focusing on efficient C++ code, maintaining quality, and solving performance issues.

As a Data Scientist, you'll analyze reliability data, build dashboards, and deploy machine learning models, collaborating with engineers and management.