Infrastructure Solutions Architect Jobs

The Director, Corporate Security is a leadership role responsible for the development and implementation of physical security programs to help the company keep all Zoox personnel and property safe and secure. This leader will serve as the primary point of contact for all physical security programs for the company, including physical security operations, risk management, incident response, insider threat coordination, investigations, workplace violence prevention, event security, executive protection, and fleet security. In this role, you will: Lead the physical security team across all Zoox locations Oversee 24/7 security operations, including access control, GSOC, incident response, and emergency management across all sites. Develop, implement, train, and enforce company security policies and procedures. Perform incident investigations and risk assessment activities. Partner with internal stakeholders to ensure they are meeting company standards. Management of outsourced security suppliers to ensure their performance is meeting contractual requirements.. Drive modernization of security infrastructure, integrating smart surveillance, AI-driven analytics, and automation to enhance efficiency and threat detection. Partner with Facilities, HR, EHS, Legal, IT, and ProdSec to align security programs and insider threat protection with business operations. Qualifications 15+ years of progressive experience in corporate security with at least 5 years in a leadership role, ideally at companies with dispersed physical operations. Proven ability to lead and mentor diverse teams, including contractors and third-party service providers. Deep knowledge of physical security technologies, operations centers, and systems integration. Exceptional judgment, communication, and crisis leadership under pressure. Experience with emergency communications and escalation process

Build something people love Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work . Hey Canadian leaders abroad…it’s time You’ve built remarkable things. Led AI teams in San Francisco, scaled fintechs in New York, designed next-gen platforms in Boston. But what if the next big thing isn’t there - it’s here? At Wealthsimple, we’re on a mission to help millions of people achieve financial freedom through simple, powerful, and accessible tools. We're building one of the most ambitious and meaningful tech companies in Canada, and we’re looking for world-class Canadian talent to come home and help us build what’s next. Change the game, for Canada Canada has urgent problems to solve, and real momentum. The work is complex, the scale is real and the impact will be felt by millions of people everyday - your family members, friends, and even your kindergarten teacher. Canada is at a turning point. We’re seeing real momentum in our tech ecosystem, and we need experienced leaders who know how to build at scale. It’s more than just a job. It’s about joining a mission: building products that empower millions of people and creating pathways to financial freedom. Who we're looking for Engineering (AI, infrastructure, backend, frontend, mobile) Product & Design (Platform design, fintech innovation, user-centric systems) Data & Machine Learning (ML engineers, data scientists, real-time analytics) Finance & Strategy (Investor rela

Senior Engineering Manager — Lab Execution Platform : Women’s Health About the Role This is your chance to own a platform that lab scientists rely on every single day—and to rebuild it from the ground up. You'll lead maintenance of our off-the-shelf Lab Execution System while driving its transition to a custom, in-house platform. Every improvement you ship makes lab operations faster, makes scientists' lives easier, and ultimately helps improve patient health outcomes. The work is real, the impact is immediate, and the customers are just down the hall. You'll treat Lab Operations and R&D as your primary customers, partnering with them to build an intuitive, efficient, scalable Lab Execution platform they'll love using. You'll lead a small, sharp team in a fast-moving Kanban or Scrum workflow, lean hard into a "do more with less" mindset, and put AI to work multiplying what your engineers can accomplish. You'll stay close to the code while leading with impact and kindness, because the best teams are healthy teams. Key Responsibilities Technical Leadership & Development Own the design, build, and maintenance of both the off-the-shelf and custom Lab Execution platforms, keeping high-throughput lab processes running without a hitch. Build an AI-forward team that reaches for modern tooling to move faster and ship smarter. Stay hands-on—dive into the code and test the system yourself to make it better. Build and scale cloud-based microservices and front-end applications that power real lab workflows. Set the bar for technical excellence: reliability, performance, and a user experience people actually enjoy. Own the CI/CD pipeline and lock in quality with automated testing. Architect infrastructure that scales effortlessly and stays cost-smart. Customer-Focused Collaboration Be the bridge between engineering and lab users, turning real-time feedback into rapid improvements. Build tight relationships with Lab Operations, R&D, and stakeholders so their needs stee

Sr. Security Engineer, Corporate Security At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft connects people to transportation to change the way we live and get around our communities. Lyft’s engineering team is growing rapidly, and we are looking for Security Engineers to help us scale. Come be part of a new team at Lyft focused on enabling and empowering engineering teams to deliver at scale. Our drivers and passengers entrust Lyft with their personal information and travel details to get where they're going and expect us to keep that data safe. Lyft's security team leads efforts across the company to ensure our systems are secure and worthy of our users' trust. The security team designs and builds Lyft's security architecture, consult with other teams as they build and launch new products and features, proactively plans for the unexpected, and responds to incidents that occur. Our work affects the entire company and takes place at all levels of the stack, from infrastructure to web application security, as well as mobile apps, IT, and autonomous vehicles. We try to approach security from a software engineering standpoint. We believe in scaling security through automation and tooling and we ship frequently. Check out our blog posts at https://eng.lyft.com/tagged/security to learn more about some of the things we’ve built. We're looking for an engineer to own the security of the systems Lyft employees rely on every day: identity, endpoints, and the data that moves between them. Corporate Security sits where security meets IT, so the work spans detection engineering, platform operations, and the automation that ties them together. We'd rather write code than file tickets, and we measure ourselves on control coverage and time-to-remediate. If you want real ownership over how security works at company scale, this is that role. Responsibiliti

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your Opportunity As a Senior Software Engineer within the Container Fabric (CF) organization, you will be a key driver in evolving New Relic’s global internal platform. We are looking for an operations-heavy engineer with 5–8 years of relevant experience who can leverage open-source and custom tooling to orchestrate and maintain large-scale Kubernetes environments. You will play a "Captain" role—leading critical deliverables and mentoring junior engineers while maintaining the reliability of our global fleet. What You'll Do Architectural Leadership: Drive the design and implementation of internal tools, specifically focusing on Kubernetes Operators and Controllers to automate resource management. Platform Orchestration: Lead complex, large-scale infrastructure shifts. Operational Excellence: Take ownership of incident response, author comprehensive retrospectives, and implement systemic hardening to prevent recurrence using advanced overcommit strategies. This Role Requires Experience: 5–8 years in a DevOps, Site Reliability, or Infrastructure Engineering role. Kubernetes Mastery: Deep internals knowledge of Kubernetes and hands-on experience writing custom operators. Tooling Proficiency: Strong experience building production-grade tools and services, specifically for infrastructure automation. Operations-Heavy Mindset: A proven track record of Day 1/Day 2 operations for a large-scale Kubernetes fleet, handling high-severity incidents, and improving SLA compliance through auto

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll do Own independent audits and regulatory programs including ISO 42001, PCI DSS, NIST 800-53, FedRAMP, HIPAA, and related frameworks. Drive scope definition, readiness assessments, auditor engagement, remediation planning, and executive level reporting. Develop a strong working understanding of Sierra’s Conversational AI Platform, model providers, and cloud architecture. Partner with Platform and Agent Engineering to design and operationalize controls across multi cloud environments, infrastructure, inference and data platforms. Build a centralized and evolving security controls library mapped to compliance, regulatory and customer requirements. Continuously assess control effectiveness, identify gaps, prioritize risk, and drive remediation that

About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building a model powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains. The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale. About the Role We’re looking for a Backend Software Engineer to help architect and scale the infrastructure that powers our knowledge systems. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. In this role, you will: Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows. Collaborate closely with product, research, and engineering teams to integrate OpenAI mode

About the Team The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products, including next-generation ads experiences, that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation. Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers, advertisers, and businesses. This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring new ad experiences into real-world systems across OpenAI surfaces at global scale, including thoughtfully integrating them into the core ChatGPT experience. About the Role We’re looking for an Android Engineer to help build the native Android experiences and client-side systems that power how ads are structured, rendered, and delivered across OpenAI’s ads ecosystem. This role sits within the Ads Formats team, which owns the creative rendering and presentation layer for next-generation ads experiences across different surfaces and media types. You’ll help build the Android infrastructure and tooling that support formats such as text, image, video, native, conversational, and interactive ads, while ensuring they render reliably and perform efficiently across platforms. You’ll work closely with backend, Product, Design, Research, and Safety partners to shape Android architecture that supports user-first, privacy-preserving monetization experiences within ChatGPT and OpenAI’s broader mobile ecosystem. In th

About Atomic Industries Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that. At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration. Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy. Position Overview We are seeking a detail-oriented and technically savvy Injection Molding Cost Estimator to support quoting, pricing strategy, and business development. This role bridges engineering, tooling, and operations—turning customer RFQs into clear, competitive, and accurate proposals. You’ll analyze part geometry, material specs, mold complexity, and production volumes to model cost scenarios and recommend pricing strategies aligned with Atomic’s margin goals and value proposition. Key Responsibilities Review and analyze RFQs, part files, prints, and customer requirements Estimate complete part cost: material, cycle time, labor, machine time, overhead, and secondary ops Quote mold/tooling costs using internal templates and inputs from tooling team Identify and model different pricing strategies: full tool cost, subsidiz

About Atomic Industries Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that. At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration. Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy. Position Overview We are seeking a detail-oriented and technically savvy Injection Molding Cost Estimator to support quoting, pricing strategy, and business development. This role bridges engineering, tooling, and operations—turning customer RFQs into clear, competitive, and accurate proposals. You’ll analyze part geometry, material specs, mold complexity, and production volumes to model cost scenarios and recommend pricing strategies aligned with Atomic’s margin goals and value proposition. Key Responsibilities Review and analyze RFQs, part files, prints, and customer requirements Estimate complete part cost: material, cycle time, labor, machine time, overhead, and secondary ops Quote mold/tooling costs using internal templates and inputs from tooling team Identify and model different pricing strategies: full tool cost, subsidiz

About Atomic Industries Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that. At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration. Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy. Position Overview We are looking for a skilled and hands-on Injection Molding Process Technician to support setup, optimization, and troubleshooting across our press lineup. You’ll be responsible for ensuring machines run efficiently and consistently—meeting quality targets, minimizing scrap, and reducing downtime. This role is critical to our ability to run complex molds at high volumes with the tightest tolerances. Key Responsibilities Set up molds, material, and auxiliary equipment per production schedule Start, stop, and dial-in injection molding processes to meet part specs and cycle time targets Monitor machine performance and make real-time adjustments to pressures, speeds, and temperatures Conduct first-piece inspections and approve production startups Identify and troubleshoot part defects, flash, short shots, and dimens

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable is used by more than half of the Fortune 500 companies to power their mission-critical initiatives. Enterprise customers leverage Airtable to build sophisticated apps, and orchestrate deep, end-to-end workflows. As we continue to scale, our teams are building the systems to ensure the security and governance of our customer’s data - from secure handling of file attachments to enterprise key management. These are advanced systems that provide robust security measures to protect our user’s data. We are seeking Engineering Managers to join our Enterprise engineering pillar, focused on scaling product experiences for our biggest customers. We currently have openings on: The Admin & Governance Team: As AI becomes central to Airtable, enterprise customers need governance controls that let them adopt AI confidently, with granular feature enablement, capability-based restrictions, and full admin visibility. The Admin & Governance team is building that control plane – the AI Governance framework that gives admins those controls at every level of the enterprise. This work builds on the team's deep ownership of Airtable's enterprise trust infrastructure: the Admin Panel, SSO, audit systems, and User Groups that power governance for our largest customers. We're looking for a leader who can drive the AI Governance roadmap, scale the team's existing enterprise trust systems, and directly unblock adoption for our largest customers. Please note: while we employ a hybrid working model at Airtable (flexible in working from the office or elsewhere), we are looking to hire candidates at this level that are based in San Francisco or New York City who are open to coming into the office at least ~2-3 times/week for

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview As a Staff Full Stack Software Engineer at Harvey, you’ll play a pivotal role in shaping the foundation of our product platform while directly building user-facing features for some of the world’s leading law firms and enterprise customers. This team owns and operates the platform layer that enables secure, reliable, and flexible experiences for our customers including notifications, permissions and feature flag infrastructure. We also build enterprise-grade collaboration product experiences for law firms. You will design and own systems that not only serve as critical infrastructure for the rest of the company, but also directly impact how our users engage with Harvey’s AI-powered legal tools. This role is ideal for engineers who are excited by the opportunity to move

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview As a Engineering Manager, Product at Harvey, you’ll play a pivotal role in shaping the foundation of our product platform while directly building user-facing features for some of the world’s leading law firms and enterprise customers. This team owns and operates the platform layer that enables secure, reliable, and flexible experiences for our customers including notifications, permissions and feature flag infrastructure. We also build enterprise-grade collaboration product experiences for law firms. You will design and own systems that not only serve as critical infrastructure for the rest of the company, but also directly impact how our users engage with Harvey’s AI-powered legal tools. This role is ideal for engineers who are excited by the opportunity to move betwe

Who We Are Good Inside is redefining parenting - not as something that should “just come naturally,” but as a skill to learn and practice. Founded by Dr. Becky Kennedy and Dr. Erica Belsky, we combine sturdy leadership with innovative technology to give parents personalized guidance, AI-powered support, and a global community. Our mission: help parents raise resilient, confident kids in a changing world. We’ve already reached millions, and we’re just getting started. We’re refining our product and expanding our reach to empower even more families. We’re looking for bold, high-ownership problem-solvers who want to build something new, tackle big challenges, and be at the forefront of change. The Opportunity Good Inside is seeking a Machine Learning Engineer to join our Engineering team. This is not a research or data science role – we’re looking for a strong backend engineer who has hands-on experience shipping ML-powered features in production. You’ll work at the intersection of backend systems and machine learning, building the infrastructure and services that bring personalized, intelligent experiences to our users. You should be comfortable working with ML APIs, understanding core ML concepts, and integrating models into reliable, scalable backend systems. Your primary identity is as a software engineer – someone who writes clean, production-grade code – with the added ability to reason about ML systems and bring them to life in our product. You will collaborate closely with cross-functional partners, including product, design, mobile, and data teams, to build high-quality features that serve our users’ needs. Your ability to blend backend engineering excellence with practical ML knowledge will be essential as we continue to evolve and scale the Good Inside platform. What You’ll Own Design, build, and maintain backend services and APIs that power ML-driven features across the Good Inside platform Integrate and orchestrate ML models and third-party ML APIs (