Jobs at Zealogics LLC

Develop and maintain native iOS applications for iPad using Swift, SwiftUI, and UIKit. Responsibilities include creating responsive interfaces, integrating APIs and backend services, optimizing performance, debugging, ensuring compatibility and security, collaborating with stakeholders, and supporting Apple ecosystem deployment. The role also involves working with authentication, push notifications, local storage, testing, version control, and CI/CD workflows.

Validates software features and system functionality through requirements definition, test planning, execution, defect investigation, regression testing, and validation reporting. Collaborates with application, development, and product teams to verify integrations, analyze logs, resolve defects, track quality metrics, and support release readiness. The role also contributes to improvements in software validation processes and testing methodologies, with semiconductor process or equipment experience preferred.

Develop interface and driver software for HIL systems, build Python and C++ test automation frameworks, create logging and analysis tools, integrate tests into CI pipelines, maintain code quality, and troubleshoot bench integration defects. The role requires embedded or test-system software experience, hardware interfacing, protocol understanding, cross-platform development, and automated testing expertise.

Lead the architecture, development, integration, validation, and acceptance of hardware-in-the-loop benches for high-power electronics and precision systems. Build real-time plant and power-electronics models, conduct closed-loop testing, triage defects, and coordinate client sign-off. Direct distributed controls, test, and software teams while managing work breakdowns, reviews, reporting, and access to export-controlled technical data.

Manages IT service management processes, governance, policies, procedures, and continuous improvement. Leads cross-functional teams, oversees service operations, analyzes metrics and reports, and communicates major incidents and service health to executives and stakeholders. The role requires expertise in ITIL, cloud technologies, ServiceNow or similar platforms, enterprise technology architecture, process governance, and automation opportunities. It also involves building effective relationships across multicultural, multi-vendor, and geographically distributed teams.

Develop cloud-native software using Python, APIs, microservices, Docker, and Kubernetes. Design system architectures, deliver through Agile practices, and build AI agents and agentic workflows. Preferred work includes AI applications, LLM integrations, front-end development with React or Angular, data engineering, and MCP server development and integration.

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.

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 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.

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.

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.

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

The Sales Executive is responsible for promoting products and services, establishing client relationships, meeting sales targets, and ensuring customer satisfaction through effective communication and teamwork.