Applications Development Technology Lead Analyst Jobs

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 160+ public exchanges globally and thousands of private exchanges 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. Role We are looking for a Senior Enterprise Applications Administrator to join our team. This is a hybrid role in San Jose, CA or Remote in Denver, CO, reporting to the Collaboration Solutions Manager in the IT Digital Employee Experience department. In this position, you will support and assist in driving the visionary innovation of Zscaler over the next decade, shaping the future of our technology across collaboration applications and the emerging AI space. You will work closely with support and executive support teams while leading a team to deliver cutting-edge services into both enterprise and FedRAMP environments. What you’ll do (Role Expectations) Develop and articulate the strategic vision for Google Workspace and MS365, aligning with organizational goals and industry best practices, while collaborating with our compliance team on FedRAMP compliance Lead the design, implementation, and optimization of Goog

About the Team The Consumer Devices team at OpenAI builds end-to-end hardware and software systems that bring AI into the physical world. We work at the intersection of custom silicon, embedded systems, operating systems, cloud services, mechanical engineering, electrical engineering, and product design to deliver reliable, production-ready devices at scale. Within Consumer Devices, Hardware Engineering eXperience, or HEX, is a new bootstrapped team building the environments, applications, compute, product-data systems, and workflows that let hardware engineers do their work without needing to troubleshoot the machinery underneath. HEX owns virtual engineering environments, HPC/GPU compute, storage, networking, licensing, MCAD/ECAD/CAE applications, PLM, product data, automation, validation, and support as one connected system. About the Role As a Staff PLM & Engineering Applications Engineer, you will be one of the first technical builders of HEX and the primary counterpart to the HEX lead. You will own the engineering-application and product-data side of the hardware engineering experience, with an initial focus on NX, Teamcenter, licensing, parts import, integrations, packaging, validation, and user workflows. This is not a traditional Teamcenter administration role and not a Corporate IT application-support role. You will take complex, fragile workflows and turn them into reliable engineering systems. This role is highly hands-on and systems-oriented. You will not inherit a mature environment and support queue. You will help build a fresh one, replacing manual setup guides, tribal knowledge, repeated support issues, and team handoffs with tested automation and reliable workflows. In This Role, You Will Own the technical architecture, deployment, configuration, integration, validation, and long-term operation of NX and Teamcenter. Build reliable workflows for parts import, product-data migration, metadata quality, BOMs, revisions, lifecycle states, and releas

Principal Software Applications Engineer — 2 Locations. Apply via Workday.

RAM RDA Applications Engineer — Taichung - Fab 16, Taiwan. Apply via Workday.

Server ODM Field Applications Engineer — Taipei - MTT office, Taiwan. Apply via Workday.

Principal DRAM Product Applications Engineer — San Jose, CA. Apply via Workday.

Staff Field Applications Engineer-Data Center DRAM — San Jose, CA. Apply via Workday.

Semiconductor Equipment Applications Eng — Boise, ID - Main Site. Apply via Workday.

Lead Software Engineer — Enterprise Applications — Mississauga Ontario Canada. Apply via Workday.

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. AI and intelligent systems are driving the fifth paradigm shift, following previous technological revolutions like mainframes, personal computers, the internet, and mobile devices. We believe, in the foreseeable future, AI will revolutionize the FinTech industry - from how consumers understand and manage their finances, to how developers build applications and how all companies operate. The fintech industry landscape will undergo a fundamental reshape. Plaid in the FinTech AI Ecosystem Plaid is uniquely positioned to become the financial data and insights backbone for AI applications and platforms in this evolving ecosystem. We believe consumers should be able to understand and manage their financial life through conversational AI interfaces using natural language. We believe consumers should have peace of mind with a trustworthy consent and authorization manager when agents shop for them. We believe identity verification and financial fraud prevention in AI-powered products should feel seamless and embedded for the end users. The list goes on. The most important AI companies, major fintechs, and customer agent platforms are actively trying to integrate Plaid into AI-powered products and solutions t

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Palantir’s software forms the operating system for the militaries of the United States and her allies, driving outcomes and enhancing capabilities across the full spectrum of operations, intelligence, and support activities. Our defense applications are the tip of that spear, powerful tools used daily by thousands of soldiers, sailors, airmen, and marines to perform critical work at home and abroad from the Pentagon to the front lines. The engineers who build, maintain, and extend these applications are responsible for wielding the immense technical potential of Palantir’s data modeling and AI platforms to create exquisite domain-specific workflows and interfaces that modernize, extend, and revolutionize the capabilities of the warfighter. This is a front-end engineering role focused on marrying Palantir’s Foundry and AIP platform technologies, application specific backend services, and modern web technologies with domain expertise. These teams are nimble and select the right tool for the task in front of them rather than adhering to a rigidly defined tech stack, but the most common setups are React for standard DOM rendering, Maplibre and/or Three js for geospatial and 3D rendering, Redux (in various flavors) for state management, Conjure for API management, and OSDK for interaction with the foundry platform. A rich ecosystem of in-house libraries and toolchains sit on top of that foundation to provide cross-app messaging, live data streaming, robust classification based access control, and a host of other specialized functions. Defense applications developers both consume and produce these re-usable tools as part of their core engineering role. Core R

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Palantir’s software forms the operating system for the militaries of the United States and her allies, driving outcomes and enhancing capabilities across the full spectrum of operations, intelligence, and support activities. Our defense applications are the tip of that spear, powerful tools used daily by thousands of soldiers, sailors, airmen, and marines to perform critical work at home and abroad from the Pentagon to the front lines. The engineers who build, maintain, and extend these applications are responsible for wielding the immense technical potential of Palantir’s data modeling and AI platforms to create exquisite domain-specific workflows and interfaces that modernize, extend, and revolutionize the capabilities of the warfighter. This is a front-end engineering role focused on marrying Palantir’s Foundry and AIP platform technologies, application specific backend services, and modern web technologies with domain expertise. These teams are nimble and select the right tool for the task in front of them rather than adhering to a rigidly defined tech stack, but the most common setups are React for standard DOM rendering, Maplibre and/or Three js for geospatial and 3D rendering, Redux (in various flavors) for state management, Conjure for API management, and OSDK for interaction with the foundry platform. A rich ecosystem of in-house libraries and toolchains sit on top of that foundation to provide cross-app messaging, live data streaming, robust classification based access control, and a host of other specialized functions. Defense applications developers both consume and produce these re-usable tools as part of their core engineering role. Core R

Sr RDA Equipment Applications Engineer — Manassas, VA - Fab 6. Apply via Workday.

Hardware Platform Applications Engineer - Military & Aerospace — 4 Locations. Apply via Workday.

NVIDIA pioneers computer graphics, gaming, AI, and accelerated computing. We are looking for a Technical Platform Operations Lead to join our team and play an important role in scaling Sales AI applications and platforms. This position offers the opportunity to shape how these solutions operate after launch and help ensure they remain reliable, secure, well governed, widely adopted, and continuously improved. You will collaborate with Sales, Product, Engineering, Data, Security, and IT teams to strengthen platform health, improve the user experience, and increase business impact. What you’ll be doing: Lead end-to-end post-launch operations for Sales AI applications, including availability, performance, support readiness, releases, upgrades, and lifecycle planning. Develop effective processes for incident response, problem management, changes, and issue resolution. Coordinate timely recovery and lasting improvements. Analyze service-level indicators and objectives, adoption metrics, dashboards, alerts, and user feedback to identify risks, performance degradation, and usage gaps. Collaborate with partner teams to translate operational signals and user needs into prioritized improvements and roadmap inputs. Improve adoption and business value through usage analytics, enablement, feedback loops, and user experience enhancements. Establish governance practices for security, access controls, compliance, documentation, and platform support. Develop automation, observability, and self-service capabilities that simplify operations and reduce repetitive work and recurring incidents. Prepare new AI capabilities and releases for production with runbooks, monitoring, rollback plans, support models, and partner enablement. What we need to see: 8+ years of experience in technical operations, pl