Jobs in Canada

Design Engineers in Toronto

161 active opportunities · Updated October 2026

Explore current design engineers jobs in Toronto. Filter by work mode, employment type, experience, department, date posted and distance.

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📍 Toronto, Canada· Full-time
✓ High-confidence listingCompany trend -73.4%

From C$136K/yr

Quick readStrong listing-quality and freshness signals

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. Our Infrastructure team is passionate about building software to solve problems at massive scale. We do this often, and when we believe our solution is worth sharing with the community, such as Envoy Proxy , we open source our ideas for the benefit of others. As a Infrastructure Engineer at Lyft, you will run our Production Infrastructure by monitoring system availability and take a holistic view of our platform health. You will build software and platforms to automate infrastructure platform operations and management. By measuring and monitoring our operations you will seek opportunities to optimize our systems in order to push our platform forward, anticipating our customers' needs in order to continually improve the platform. You will provide Lyft partner teams with operational support to help them build robust large scale distributed systems. About the Team Data Pipelines is at the heart of all critical data flowing through Lyft supporting hundreds of services that impact millions of drivers and passengers every day. Our team’s mission is to empower Lyft engineers to self-serve in building and maintaining data pipelines as needed to support products that deliver the world’s best transportation experience. We leverage a variety of technologies to store, stream and manage data making it available to our internal customers. Responsibilities: Maintain and analyze metrics from; operating systems; control planes; and applications to assist in fault detection and performance enhancement Design, develop and deploy tooling and systems that continually improve the reliability, scalability and efficiency of our platform Balance feature development speed and reliability with service-level objectives Operate and improve our Infrastructure using industry best practices and tools Participate in design and

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L
📍 Toronto, Canada· Full-time
✓ High-confidence listingCompany trend -73.4%

From C$45/hr

Quick readStrong listing-quality and freshness signals

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’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment. We are hiring for a variety of Data Science interns, focusing on the following specialties: Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app. Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment. Inference: Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems. You will report into a Science Manager. Responsibilities: Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context Perform exploratory data analysis to gain a deeper understanding of the problem Write production modeling code; collaborate with software engineers to implement algorithms in production Design and run both simulated and live traffic experiments Analyze experimental and observational data; communicate findings including working with partner teams and presentations; facilitate launch decisions Experience: Currently pursuing a Masters or PhD degree at a university in Canada (required) in mathematical sciences ( Opera

PythonSQLMachine LearningAI
L
📍 Toronto, Canada· Full-time
✓ High-confidence listingCompany trend -73.4%

From C$102K/yr

Quick readStrong listing-quality and freshness signals

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. Data is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve performing rigorous product deep dives, identifying opportunities for product enhancements, and measuring the impact of product changes. The Airports team, within the Driver organization, focuses on the airport marketplace and the unique products designed for this use case. Airports are one of the most important, impactful, and complex parts of Lyft’s Rideshare business, as they are a key part of both the rider and driver Lyft experience and have unique dynamics. As an Analytics Lead on the Airport team, you will collaborate with our team of engineers, product managers, and designers to conduct thorough data deep dives on airport performance, challenge our current strategy, and recommend enhancements to facilitate market growth. The ideal candidate can apply strong business acumen to propose product and marketplace changes, and is comfortable working with a highly cross functional team. In this role, you will help us tackle problems such as: How should we determine pricing and earnings for airport rides? Who are our current airport drivers and what segment can we focus on to grow our supply? How does this strategy interact with driver bonuses? Which airports are underperforming and which key metrics can we use to identify and classify airport performance? What targets should we set for these key metrics and how do we efficiently monitor these metrics? What is driving high cancellation rates today and which types of riders/drivers are cancelling? What product changes can we implement to reduce cancellation rates? How are riders and drivers using different ride modes at airports, and how do we design

V
📍 Toronto, Ontario, Canada· Full-time
✓ Quality checkedCompany trend -100%

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. We are looking for a Senior Software Engineer to join our Product Platform org - the group that powers product development across Vanta by building the shared foundations that every engineering team builds on top of. This hire will join one of two closely-aligned teams within the org, each working on foundational challenges with company-wide impact. Application Primitives is responsible for the shared, customer-facing platform components that product teams implement across the product: examples include comments, notifications platform, event log infrastructure, and agentic audit trails. This team sits at the intersection of platform and product - not pure infrastructure, not pure product - building the reusable building blocks that let other teams ship faster and more consistently. Libraries & Foundations is a brand-new team that owns Vanta's internal engineering libraries and golden-path patterns. Sitting between core platform and product platform in the stack, this team builds the TypeScript-first abstractions and shared foundations that all Vanta engineers build on top of - including event-driven architecture libraries, code quality tooling, and test frameworks. You'll be evaluated for both teams based on your background and interests, and the decision on team placement will reflect where your skills and passions are the strongest fit. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as a Senior Software Engineer, Product Platform at Vanta: Design and build high-quality, scalable systems and shared libraries that multiple engineering teams depend on - whether that's shared

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📍 Toronto, Ontario, Canada· Full-time
✓ High-confidence listingCompany trend -100%

C$162K – C$420K/yr

Quick readStrong listing-quality and freshness signals

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. Ready to build the future of mobile app monitoring? This is no ordinary engineering role. At Sentry, our Mobile SDK team creates the next generation of tools for developers worldwide, processing over a billion events every single day. We're looking for a talented Senior iOS SDK Engineer to join our team of experts. You'll dive deep into Apple's most advanced technology, from powerful new APIs and SwiftUI to Foundation Models. If you love using cutting-edge tech to solve complex challenges, you've found your team. What you will achieve in this role As the owner of our iOS SDK, you will guide its development from the core architecture to the final product experience. You'll pioneer exciting new features like Session Replay and next-generation performance monitoring, all while mastering Apple's latest innovations like modern concurrency and on-device AI. You will design robust, high-quality APIs built to handle massive scale, and you'll get to shape the overall vision for mobile at Sentry. Ultimately, you will be the go-to expert, helping our teams solve the most complex and interesting customer challenges. Why you will love this role We're looking for someone who is passionate about their craft and loves building elegant, intuitive tools that other developers are excited to use. You'll have the chance to contribute full-time to a major open-source project and see the immediate impact of your work in our fast-paced environment. You will be surrounded by thoughtful, collaborative engineers who are dedicated to a culture of excellence, constantly pushing each other to learn, grow, and produce their best work. Qualifications 5+ ye

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📍 Toronto, Ontario, Canada· Full-time
✓ High-confidence listingCompany trend -63.6%

From C$160K/yr

Quick readStrong listing-quality and freshness signals

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Streaming Foundations team builds services and operates data pipeline infrastructure to support event streaming, messaging, and analytics use cases. We are looking for a Software Engineer who is passionate about distributed systems, platform engineering, and solving data-intensive problems at scale. In this high-impact role, you will get to work with engineers throughout the organization to build foundational infrastructure that allows Auth0 to scale for years to come. What you’ll be doing Help set the technical direction for the team and influence the engineering roadmap for the Platform’s streaming capabilities Design and lead the implementation of our most complex and critical systems for data-intensive use cases. Research and champion new technologies and architectural patterns to solve strategic challenges and scale the platform. Lead and influence cross-functional initiatives, ensuring technical alignment and successful execution across multiple teams. Improve the operational posture of our systems by designing for observability, reliability, and scalability, and by mentoring others in operational best practices. Coach and mentor senior engineers and act as a technical leader across the engineering organization. Collaborate with different stakeholders like product teams whenever needed. What you’ll bring to our teams 7+ years of software development experience in a fast-paced, agile environment Experience working with Golang or Java is preferred H

TypeScriptJavaReactAWS
O
📍 Toronto, Ontario, Canada· Full-time
✓ High-confidence listingCompany trend -63.6%

From C$104K/yr

Quick readStrong listing-quality and freshness signals

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Role Overview We are seeking a Senior Software Engineer to build and evolve Okta’s web platform using React and Next.js. In this role, you will bring deep frontend expertise to solve complex engineering problems autonomously from designing scalable page systems and optimizing performance to integrating CMS APIs and refining developer workflows. You work independently on ambiguous problems but thrive in collaboration with designers, content architects, and fellow engineers. AI-assisted development tools are part of how this team works, and you leverage them fluently to move faster while maintaining high standards. This is a hands-on IC role with significant autonomy and real ownership, ideal for an engineer who combines deep technical understanding with strong collaborative instincts. Key Responsibilities Frontend Development & Architecture: Build and maintain reusable page templates, features, and component systems in Next.js using TypeScript and React. Design scalable data-fetching patterns from headless CMS APIs (GraphQL and REST), transforming structured content into polished frontend experiences. Collaborate on content model design with content architects, ensuring CMS data maps cleanly to frontend templates. Implement responsive, accessible, high-performance UI following established design system patterns and propose improvements when existing patterns fall short. Design System Collaboration: Work closely with the design system team to assemble pag

TypeScriptReactAWSCI/CD
O
📍 Toronto, Ontario, Canada· Full-time
✓ High-confidence listingCompany trend -63.6%

From C$136K/yr

Quick readStrong listing-quality and freshness signals

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Platform Network Engineering Team Auth0 by Okta is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for over 100 million daily logins worldwide. Our modern approach to identity enables this Tier 0 global service to deliver convenience, privacy, and security so customers can focus on innovation. The Senior Software Engineer Opportunity You will be part of the Platform Network engineering team responsible for all connectivity of Auth0. You will play a key engineering role as we evolve our network architecture to meet the demands of enormous growth and support the hundreds of millions of users who rely on us to provide uninterrupted access. You will get to work with engineers throughout the engineering organization. What you’ll be doing Implement internal and edge networking infrastructure and design solutions that work at global scale and with multi-cloud and multi-region constraints. Carry cross-team initiatives from end to end: code reviews, design reviews, operational robustness, security hygiene, etc. Design and develop new services, tools, and automation to expose network functionality to other Okta engineering and operations teams. Research and implement solutions addressing cross-cutting concerns such as routing, failover, and scaling. Participate in the team’s on-call rotation. What you’ll bring to the role Have 3+ years of

AWSAzureKubernetesRest
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📍 Toronto, Ontario, Canada· Full-time
✓ High-confidence listingCompany trend -63.6%

From C$160K/yr

Quick readStrong listing-quality and freshness signals

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Get to know the team The Developer Platform team at Auth0 (an Okta company) owns the surfaces developers use to build with Auth0 - APIs, SDKs, CLIs, and the tooling that shapes how developers experience identity. Software is increasingly built by developers working alongside AI agents, and that shift raises the bar on every interface we ship: APIs have to be consumable by agents, tools have to be discoverable, and our platform has to hold up when an agent - not just a person, is the one calling it. We're looking for an engineer who already builds with those skills. We move fast, we own problems end-to-end, and we care deeply about the developer experience we put in front of people. The opportunity We're hiring a Staff Software Engineer to build the platform surfaces that developers and AI agents use to configure, extend, and interact with Auth0. You'll work at the intersection of API platform design, developer tooling, and emerging standards like MCP (Model Context Protocol). You'll take on ambiguous, high-leverage problems alongside a group of strong senior and staff engineers, and you'll have real influence over how our platform is built for a world where agents are first-class consumers. What you'll be doing Design and build developer-facing platform surfaces - APIs, MCP tools, CLI integrations, that hold up whether the caller is a developer or an agent Own technical direction for key platform surfaces that make Auth0 consumable by agents Drive cross-cut

Node.jsAWSRestMachine Learning
L
📍 Toronto, Canada· Full-time
✓ High-confidence listingCompany trend -73.4%

From C$1.4M/yr

Quick readStrong listing-quality and freshness signals

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. The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. Agentic AI is at the center of how we scale that mission. We fine-tune and align open-source models, build AI-powered support agents, and develop end-to-end AI agents for safety case management, systems that reason over complex, high-stakes cases and drive them to resolution. SCC brings together ML, data, backend, and product engineers alongside data scientists and operations partners to transform these systems. As a Machine Learning Engineer on the SCC team, you will fine-tune and align models and build AI Agents that power how riders and drivers get help. Your work spans the full loop: post-training open-source models for our domain, composing them into multi-step agents, and building the evaluation that proves they are safe to ship in a customer-facing, safety-critical setting. Post-train and adapt open-source LLMs for SCC use cases using SFT, LoRA, and preference-tuning methods (RLHF, RLAIF, RLVR). Design and build AI-powered support agents and end-to-end agents for safety case management using LangGraph or equivalent agentic frameworks. Own the evaluation data flywheel, offline and online, that defines what "good" looks like and build benchmarks for the team to hill-climb. Turn interaction feedback into training data and learning signals, closing the data flywheel that continuously improves the models. Responsibilities: Conduct literature review and build post-training fra

PythonMachine LearningAIGo
S
📍 Toronto, Canada· Full-time
✓ Quality checkedCompany trend -91.4%

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Revenue and Financial Automation (RFA) team at Stripe is building a modern, revenue-focused, financial management platform for fast-growing, digital-native companies. Hundreds of thousands of businesses of all sizes and types use Stripe Billing to collect revenue for recurring and one-time payments across a variety of different pricing models—from selling SaaS subscriptions, to orchestrating multi-stage contracts, delivering Usage-Based Billing, and providing recovery and retention tools to prevent customer churn. What you'll do As an engineer on the team, you'll be responsible for shaping and building a suite of products that let our users model and operate their business more efficiently. You'll work on projects that span technologies, systems, and processes where you'll design, build, test, and ship code every day. In this cross-functional role, you'll collaborate with experts in infrastructure, security, design, and operations to build business-critical internal and external features that power Stripe users around the world. Responsibilities Design the next generation of Stripe products to meet the high-growth needs of our company and customers for years to come Deliver value through a strong collaborative, user-first approach with stakeholders and customers Mentor engineers to help them grow Debug and solve critical production issues across services and multiple levels of the stack Who you are We're looking for someone who meets the

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📍 Toronto, Ontario, Canada
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. As a PCB Power Design Engineer, you will design and optimize power distribution systems for Tenstorrent’s next-generation AI accelerator cards, balancing performance, area, cost, and reliability. You will contribute across the full power design lifecycle, from component selection and simulation through board bring-up, validation, debugging, and production readiness. Working closely with hardware, firmware/software, thermal, mechanical, and validation teams, you will help deliver robust power architectures for high-performance AI systems. This role is hybrid, based out of Toronto, Canada. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are An electrical engineer with experience designing, analyzing, and debugging power distribution systems for high-performance or high-power products. A hands-on engineer who enjoys moving from schematics and simulations into lab bring-up, testing, troubleshooting, and design validation. A systems-oriented collaborator who can work effectively across hardware design, firmware/software, thermal, mechanical, and validation teams. A detail-oriented problem solver who balances electrical performance, power integr

R
📍 Toronto, Canada· Full-time
✓ High-confidence listingCompany trend -76.2%
Quick readStrong listing-quality and freshness signals

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Robinhood Wallet team’s mission is to democratize access to financial services worldwide by leveraging DeFi protocols and Robinhood Chain! We build secure, intuitive, and decentralized products that enable our users to custody and manage their digital assets. Our team works at the intersection of traditional finance and web3, driving progress in cryptocurrency and blockchain applications. We work closely across multiple engineering and design areas to deliver highly reliable, high-performance systems for customers worldwide. As a Software Developer , you will build and own the backend services, infrastructure, and data systems that support Robinhood Wallet products. You will develop new features and system enhancements to deliver a highly secure and efficient trading experience for cryptocurrencies and tokenized stocks, including perpetual futures, to customers worldwide. In this role, you will design scalable architectures and maintain high-quality codebases. You will also collaborate with other engineering teams to guide key technical decisions and raise our team's engineering standards. This role is based in our Toronto, ON office(s), with in-person attendance e

PythonJavaAWSGit
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📍 Toronto, Canada· Full-time
✓ High-confidence listingCompany trend -73.4%

From C$172K/yr

Quick readStrong listing-quality and freshness signals

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 is looking for a Design Systems Manager to join Design Foundations, the infrastructure layer of Lyft's design organization. Design Systems at Lyft is an integral part of the overall user experience. Our design system spans product surfaces, marketing, and brand, officially known as the Lyft Product Language (LPL) and shipped directly to code. You'll own the craft and execution of that system, partner closely with design, engineering, and marketing, and lead Design systems work through a period of active global growth and capability expansion. This role reports to the Director of Design Foundations and works alongside a dedicated DPM and Engineering managers, and a tight-knit team of design systems practitioners. Responsibilities: Strategy & Vision Set the strategy and roadmap for Lyft Product Language (LPL) across product, marketing, and brand surfaces, in partnership with the Director of Design Foundations and engineering leadership and the Design Systems team Lead the AI transformation of the system: integrate AI into LPL tooling, adoption workflows, and the day-to-day designer experience at Lyft Represent Design Systems in reviews and other senior leadership forums People & Craft Manage and develop a team of design systems designers and illustrators working across iOS, Android, web, and brand Hold the quality bar for system-wide design: cross-platform coherence, accessibility (WCAG), road safety, localization, and brand consistency. Coach the team on making educated tradeoffs between flexibility, coherency, usability, and efficiency Execution & Partnership Partner closely with the Design Systems DPM and engineering managers to maintain system health, sequence work, and unblock teams Own the LPL component contribution and review process end-to-end, from intake through release Commu

O
📍 Toronto, Ontario, Canada· Full-time
✓ High-confidence listingCompany trend -63.6%

From C$168K/yr

Quick readStrong listing-quality and freshness signals

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Team : Have you ever considered what powers the intelligent features behind seamless product experiences? The GenAI team is at the forefront of enabling AI-powered security and intelligent innovation across our organization. From crafting AI powered security services, to intuitive generative AI-powered chat experiences that provide instant product support, and developing the best developer experience around authentication for generative AI and AI agents, our team is instrumental in bringing the transformative power of AI to life. We collaborate closely with the Machine Learning team and various product teams to ensure the seamless and secure delivery of AI-enhanced features that provide real value to our users. The Opportunity : As a Staff Machine Learning Engineer on the Generative AI team, you will help shape, architect, and accelerate our Generative AI strategy by contributing across the stack of model development, infrastructure, and platform services. You’ll drive design and implementation of production-ready AI/ML systems at scale: ranging from LLM-powered features to reusable components that other teams across Okta can build on. You will have the opportunity to: Architect, design, and deploy robust Machine Learning & GenAI systems, ensuring seamless integration with diverse platform services and establishing scalable LLMOps pipelines in production. Drive technical decision making while striving to hit the right balance between factors s

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