M365 Lead Workplace Services (VP2)

Principal/Senior Engineer, APTD CEM - Advanced Packaging Integration Engineering

Senior Engineer, APTD CEM - Advanced Packaging Die Level Technology Engineering

VP, Engineering Manager

Senior Software Engineer AI

Software Engineer AI

Engineer/ Senior Engineer (Equipment & Process)- Lithography/Photolithography

Responsibilities: Technical Leadership &amp; Ownership: <ul><li>Act as the technical lead for Microsoft 365, Exchange, and Workplace Infrastructure services.</li><li>Provide technical guidance, mentoring, and knowledge transfer to L2 and L3 engineers.</li><li>Own platform health, availability, capacity planning, and lifecycle management.</li><li>Drive architecture reviews, technical standards, and best practices across workplace technologies.</li><li>Lead continuous service improvement initiatives to enhance operational efficiency and user experience.</li></ul> Platform Administration &amp; Support: <ul><li>Manage and support Microsoft Exchange environments, including:&nbsp;</li><li>Exchange On-Premises</li><li>Exchange Hybrid</li><li>Exchange Online</li><li>Administer and support Microsoft 365 collaboration services.</li><li>Manage and support VMware Horizon VDI infrastructure, including performance tuning, troubleshooting, and capacity management.</li><li>Oversee endpoint management platforms, ensuring device compliance, patch management, and security baseline adherence.</li><li>Provide Level 3 support for critical incidents, complex technical issues, and escalations.</li><li>Perform root cause analysis and implement preventive measures.</li></ul> Unified Communications &amp; Workplace Services: <ul><li>Support and troubleshoot Microsoft Teams voice, video, and collaboration services.</li><li>Work closely with network and voice teams to resolve communication-related issues.</li><li>Ensure a seamless and secure end-user collaboration experience.</li></ul> Security &amp; Compliance: <ul><li>Administer and support enterprise security and mobility solutions including:&nbsp;</li><li>BlackBerry MDM</li><li>Multi-Factor Authentication (MFA)</li><li>Mobile Threat Defense (MTD)</li><li>Trend Micro</li><li>Enterprise Vault</li><li>Ensure compliance with enterprise security standards, policies, and regulatory requirements.</li><li>Manage privileged administrative access through secure IT Admin LAN and Production VDI environments.</li><li>Enforce governance, audit, and privileged access management controls.</li></ul> Automation &amp; Optimization: <ul><li>Develop and maintain PowerShell scripts for automation and operational efficiency.</li><li>Identify opportunities for process automation and proactive monitoring.</li><li>Drive system optimization and reliability improvement initiatives.</li></ul> Incident &amp; Service Management: <ul><li>Lead Major Incident Management (MIM) activities related to workplace services.</li><li>Perform advanced troubleshooting across M365, Exchange, VDI, endpoint, and collaboration platforms.</li><li>Partner with Service Desk and infrastructure teams to ensure timely resolution of incidents and service requests.</li><li>Participate in after-hours support and critical incident escalations when required.</li></ul> Stakeholder Engagement: <ul><li>Collaborate with Infrastructure, Security, Network, and Application teams.</li><li>Act as the technical escalation point for business-critical workplace services.</li><li>Provide technical reports, recommendations, and service improvement plans to management.</li></ul> Requirements: <ul><li>8-12 years of hands-on experience in enterprise workplace infrastructure support and administration.</li><li>Proven experience acting as a Technical Lead, Senior Engineer, or SME within a large enterprise environment.</li><li>Microsoft Exchange (On-Premises, Hybrid, and Exchange Online)</li><li>Microsoft 365 collaboration ecosystem</li><li>VMware Horizon VDI administration and support (mandatory requirement)</li><li>Endpoint management platforms</li><li>Microsoft Teams and Unified Communications support</li><li>PowerShell scripting and automation</li><li>Strong troubleshooting and root cause analysis skills.</li><li>Experience leading major incident management and technical escalations.</li><li>Strong stakeholder management and communication skills.</li><li>Ability to mentor engineers and drive technical best practices.</li></ul>

Responsibilities: <ul><li>Develop and enable advanced package technologies for post-fab wafer finish and assembly processes.</li><li>Improve product quality, yield, productivity, and manufacturing cost.</li><li>Partner with process and product engineering teams to integrate semiconductor technologies.</li><li>Drive yield improvements through package integration innovation, layout optimization, design improvements, and process margin enhancement.</li><li>Collect and analyze data to support design, layout, and integration flow decisions.</li><li>Collaborate with Probe, Yield Analysis, Test, Product Engineering, PWF Engineering, Assembly Engineering, Front-End Wafer Fab, Assembly/Test Engineering, and Global Quality teams.</li><li>Ensure robust quality through process monitoring, inspection, testing, SPC, DOE, and defect analysis.</li><li>Support product transition from development through qualification into High Volume Manufacturing (HVM).</li><li>Provide Process of Record (POR) and Model of Record (MOR) documentation.</li></ul> Requirements: <ul><li>B.S./M.S./Ph.D. (or equivalent) in Electrical, Mechanical, Chemical Engineering, Physics, Materials Science, or related discipline.</li><li>2+ years of semiconductor process integration experience, preferably in advanced packaging, post-fab wafer finishing, or assembly processes.</li><li>Proficiency in Python, R, and SQL.</li><li>Experience with Visual Basic.</li><li>Knowledge of E3, FDC, and RMS (Recipe Management System).</li><li>Strong statistical analysis, process modeling, SPC, DOE, defect analysis, and dashboarding skills.</li><li>Strong understanding of semiconductor process flows and integration.</li><li>Strong root-cause analysis and complex problem-solving capability.</li><li>Ability to work under tight timelines and limited resources.</li></ul>

Responsibilities: <ul><li>Develop and optimize assembly processes for advanced packaging technologies, including wafer-level packaging, Chip-on-Wafer (CoW), and Chip-to-Wafer (C2W) die stacking.</li><li>Improve product quality, yield, productivity, and manufacturing cost.</li><li>Drive process management projects supporting future technology nodes.</li><li>Evaluate, qualify, and implement new equipment and materials.</li><li>Establish process parameters for semiconductor manufacturing equipment.</li><li>Ensure robust quality through process monitoring, inspection, testing, SPC, DOE, and defect analysis.</li><li>Use data analytics to establish advanced process controls and identify improvement opportunities.</li><li>Collaborate with Package Integration, Assembly Engineering, Front-End Wafer Fab, Assembly/Test Engineering, Product Engineering, and Global Quality teams.</li><li>Support seamless transition from product development through qualification into High Volume Manufacturing (HVM).</li><li>Provide Process of Record (POR) and Model of Record (MOR) documentation.</li></ul> Requirements: <ul><li>B.S./M.S./Ph.D. (or equivalent) in Materials Science, Chemical Engineering, Electrical Engineering, Mechanical Engineering, Physics, or related technical discipline.</li><li>2+ years of semiconductor process development or equipment evaluation experience, preferably in wafer bonding, die stacking, or advanced packaging.</li><li>Proficiency in Python, R, and SQL.</li><li>Experience with Visual Basic for automation and tool integration.</li><li>Knowledge of E3, FDC (Fault Detection and Classification), and RMS (Recipe Management System).</li><li>Strong data analytics capability supporting SPC, DOE, defect analysis, and dashboards.</li><li>Strong understanding of semiconductor process flows, yield, performance, and reliability.</li><li>Strong problem-solving and root-cause analysis skills.</li><li>Ability to work effectively under aggressive timelines and limited resources.</li></ul>

Responsibilities: People, Talent and Cross-Functional Collaboration:&nbsp; <ul><li>Ensure optimal staffing levels across front-end, back-end, full-stack, and platform specializations.&nbsp;</li><li>Hire, coach, and develop top-tier engineering talent.</li><li>Manage direct reports and technical leads, address performance issues promptly, and build strong relationships with Product, Design, Platform, Data, and agile train leadership to deliver cohesive, customer-focused solutions.</li><li>Community of Practice, Developer Experience and AI-Driven Engineering: As AI tooling becomes inseparable from modern engineering practice, own the convergence of Community of Practice standards and AI adoption as a single discipline.&nbsp;</li><li>Foster best practice adoption across the engineering community with AI tooling treated as a first-class part of the practice.</li><li>Define standards for responsible AI adoption — including when to use AI coding assistants, agents, skills, and MCP integrations versus traditional approaches.</li><li>Establish clear guidance on the distinction between AI Skills (deterministic capabilities) and Agents (autonomous, multi-step workflows). </li><li>Evaluate, pilot, and roll out AI tools (GitHub Copilot, Claude Code, Cursor, Windsurf, Continue.dev, Aider, Cline, Ollama). </li><li>Define governance for AI use in regulated financial services contexts including data handling, PII protection, IP compliance, and code provenance. </li><li>Track and measure the combined impact of CoP practices and AI adoption on cycle time, PR throughput, defect rates, and developer satisfaction.</li><li>System Architecture and Technical Direction: Own a modern view of system architecture spanning client, server, data, integration, and AI layers.&nbsp;</li><li>Champion patterns such as micro-frontends, BFF, event-driven, API-first, serverless, and composable architectures.&nbsp;</li><li>Partner with Enterprise Architects on platform alignment.&nbsp;</li><li>Guide trade-off decisions (monolith vs. microservices, sync vs. async, build vs. buy). Use AI-powered architecture tools to accelerate design exploration and generate ADRs.</li><li>Ensure teams document decisions so both humans and AI agents can reason about the system. </li><li>Understand how AI tools interact with system architecture — including RAG, vector databases, MCP integrations, and agentic workflows.</li></ul> Strategic Planning, Delivery and Operational Excellence:&nbsp; <ul><li>Ensure plans align with CoP goals, review quarterly commitments to flag risks early, and step in to resolve conflicts between product, design, and engineering.&nbsp;</li><li>Drive CI/CD best practices, ensure high-quality scalable solutions across the stack, and provide on-call support during escalations.&nbsp;</li><li>Support tech leads hands-on when needed, regardless of which layer of the stack the problem lives in.</li></ul> Requirements: <ul><li>Strong hands-on background in modern front-end technologies (ReactJS, TypeScript, NextJS, Cypress) as an anchor foundation, with working knowledge of back-end technologies, APIs, microservices, and data layer concepts.&nbsp;</li><li>Experience with AWS cloud services, CI/CD pipelines, and modern DevOps practices.&nbsp;</li><li>Proven ability to lead engineers working across the full stack.</li><li>Solid grounding in system architecture fundamentals — distributed systems, scalability, CAP trade-offs, caching, messaging, API design — and familiarity with modern patterns (micro-frontends, BFF, event-driven, CQRS, serverless, composable architectures).&nbsp;</li><li>Experience making and documenting architecture decisions (ADRs), with understanding of how AI-native architecture (RAG pipelines, vector databases, agent orchestration) differs from traditional architecture.</li><li>Hands-on experience with AI coding assistants (GitHub Copilot, Claude Code, Cursor, or equivalent) with clear understanding of the difference between AI Skills and Agents, familiarity with MCP (Model Context Protocol), RAG patterns, and experience defining AI usage guidelines and governance frameworks for regulated environments.&nbsp;</li><li>Awareness of the open-source AI tooling ecosystem (Continue.dev, Aider, Cline, Ollama).</li><li>Proven experience leading and growing high-performing engineering teams, running or contributing to a Community of Practice, and strong communication skills with the ability to influence across organizational levels.</li></ul>

Responsibilities: Design &amp; Build/Development &amp; Support <ul><li>Develop multi-agent workflow automation patterns using Agentic AI</li><li>Process redesign and mapping to agentic workflow patterns</li><li>Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python).</li><li>Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents</li><li>Profile inference latency, GPU/CPU utilization, and memory</li><li>Writes and maintains highly complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software/AI solutions</li><li>Lead bug-fix, security-patch, and performance-tuning sprints for live AI Assistants and AI Agents</li><li>Leads the establishment and maintenance of comprehensive documentation for agents, applications, deployment processes and system configurations.</li></ul> Operational Excellence&nbsp;<ul><li>Own on-call runbooks, SLOs, and incident reviews; embed observability</li><li>Leads and mentors technical support and troubleshooting for highly complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Collaboration &amp; Leadership <ul><li>Leads cross functional team of engineers to gather requirements and deliver solutions that meet business needs.</li><li>Experience working within product and agile delivery frameworks including backlog management and cross-functionality delivery and full E2E engineering.&nbsp;</li><li>Experience with enterprise architecture, data governance, or security standards in the context of digital solution delivery as part of E2E engineering and solution architecture.&nbsp;</li></ul> Capability &amp; Technology Stack Exposure <ul><li>Experience with digital technologies in the commercial &amp; sales management capability (e.g. Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT or similar platforms)&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.&nbsp;</li><li>Typically reflects 4 years or more with 3+ years of cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software development.&nbsp;</li></ul>

Responsibilities: Design &amp; Build/Development &amp; Support <ul><li>Develop multi-agent workflow automation patterns using Agentic AI</li><li>Process redesign and mapping to agentic workflow patterns</li><li>Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python).</li><li>Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents</li><li>Profile inference latency, GPU/CPU utilization, and memory</li><li>Writes and maintains highly complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software/AI solutions</li><li>Lead bug-fix, security-patch, and performance-tuning sprints for live AI Assistants and AI Agents</li><li>Leads the establishment and maintenance of comprehensive documentation for agents, applications, deployment processes and system configurations.</li></ul> Operational Excellence&nbsp;<ul><li>Own on-call runbooks, SLOs, and incident reviews; embed observability</li><li>Leads and mentors technical support and troubleshooting for highly complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Collaboration &amp; Leadership <ul><li>Leads cross functional team of engineers to gather requirements and deliver solutions that meet business needs.</li><li>Experience working within product and agile delivery frameworks including backlog management and cross-functionality delivery and full E2E engineering.&nbsp;</li><li>Experience with enterprise architecture, data governance, or security standards in the context of digital solution delivery as part of E2E engineering and solution architecture.&nbsp;</li></ul> Capability &amp; Technology Stack Exposure <ul><li>Experience with digital technologies in the commercial &amp; sales management capability (e.g. Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT or similar platforms)&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 2 years of building production software or data platforms.&nbsp;</li><li>Typically reflects 3 years or more with 2+ years of cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software development.&nbsp;</li></ul>

Lithography Equipment – we can look at combination of talent coming with:Candidates with experience from any module will be considered for a junior role.Experienced individuals with past litho and current in other module but willing to explore the litho role; shall be considered for a senior equipment litho role.Also, can look at another possibility of candidates coming with litho process experience and are willing to take up the equipment litho role. Responsibilities:Drive equipment fault investigations and continuous improvement programs to resolve chronic equipment issues, and institute permanent resolutions to assure product quality and enhance process robustness.Enforce on equipment maintenance controls and execution to conform to work instructions and procedures. Apply hands-on and with deep involvement at work.Provide effective equipment training to the technicians to build up their technical and skill competencies.Ensure non-conformance is dealt with in a proper and effective manner.Manage and control spare parts availability and costs.Manage vendor services and supports and ensuring compliance with factory protocol.Establish, review and perform regular update of PM procedures, Risk Assessments and Troubleshooting guidelines.Execute the equipment move-in, installation, set up and buy-off , meeting set timelines.Compliance with CSR, EHS, QM, ESD, 5S standard and cleanroom protocol.Requirements:Minimum Bachelor’s Degree in Electronic or Electrical Engineering or equivalent.Experience in high volume production of electronic components in an MNC or semi-conductor industry.Possess strong technical competencies in his field of study.Good knowledge of statistical and quality tools.Able to work under pressure and with strong commitment to work.Experience on computer systems and proficient with software applications such as MS Power Point, Excel and Word.

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7 micro frotends Jobs found

M365 Lead Workplace Services (VP2)

Principal/Senior Engineer, APTD CEM - Advanced Packaging Integration Engineering

Senior Engineer, APTD CEM - Advanced Packaging Die Level Technology Engineering

VP, Engineering Manager

Senior Software Engineer AI

Software Engineer AI

Engineer/ Senior Engineer (Equipment & Process)- Lithography/Photolithography

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M365 Lead Workplace Services (VP2)

Principal/Senior Engineer, APTD CEM - Advanced Packaging Integration Engineering

Senior Engineer, APTD CEM - Advanced Packaging Die Level Technology Engineering

VP, Engineering Manager

Senior Software Engineer AI

Software Engineer AI

Engineer/ Senior Engineer (Equipment & Process)- Lithography/Photolithography

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.