Jobs in Canada

Solutions Architecture Director in Canada

472 active opportunities · Updated October 2026

Explore current solutions architecture director jobs across Canada. Filter by work mode, employment type, experience, department, date posted and distance.

HI
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

$179K – $252K/yr

Quick readStrong listing-quality and freshness signals

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role HP IQ’s System Software team enables on-device experiences to take full advantage of our hardware capabilities.Our team collaborates with internal and external partners to develop unique solutions using cutting edge hardware, sensors, algorithms, and interaction models. If you enjoy solving complex, interdisciplinary problems with a world-class team, we'd love to hear from you! What You Might Do Lead, grow and mentor a high-performing embedded software team in a startup environment Serve as a technical leader and escalation point for complex hardware/software integration issues Communicate technical vision, risks, and progress clearly to cross-functional and executive stakeholders Own system-level strategy, architecture, and technical direction across multiple products Drive execution of low-level driver and framework software development in C and C++ across multiple devices and operating systems Oversee integration between hardware and software, ensuring alignment across cross-functional teams Guide performance, power, and thermal optimization efforts Balance hands-on technical invol

JavaRedisLinuxAI
HI
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

$162K – $252K/yr

Quick readStrong listing-quality and freshness signals

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role The System Software team is responsible for firmware, operating system software, hardware-accelerated algorithms, and core developer frameworks supporting our products. We serve as the glue between our hardware teams and our higher-level software teams, and delight in finding creative solutions to complex, interdisciplinary problems as we bring our product visions to life. As a firmware engineer on our team, you will develop firmware for low-power embedded microcontrollers to coordinate sensors, ensure security and privacy, manage power subsystems, and more. You will also have plenty of opportunity to develop and grow your own management and leadership skills as you coordinate development efforts with vendors, consultants, and manufacturing partners. What You Might Do Design and develop firmware and embedded system architecture for leading-edge ARM-based MCUs in our prototypes and products Collaborate with the EE, RF, Security, Cloud Services, and AI models team to build high-performance, secure, reliable systems Bring up and debug new hardware in the lab and support

RedisAIC++Go
HI
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

$162K – $288K/yr

Quick readStrong listing-quality and freshness signals

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role HP IQ’s System Software team enables on-device experiences to take full advantage of our hardware capabilities. We collaborate with internal and external partners in a high-leverage environment that enables us to spend a majority of our time developing solutions that are unique to our hardware, sensors, algorithms, and interaction models. If you enjoy solving complex, interdisciplinary problems with a world-class team, we'd love to hear from you! What You Might Do Learn what it's like to be a part of a world-class embedded software team building a first-of-its-kind product in a startup environment Responsible for system design and architecture Develop low-level driver and framework software in C and C++ Develop device-focused infrastructure software in Python Debug issues at the interface between hardware and software Optimize software for better performance and lower power consumption Collaborate in the software engineering process with documentation, testing, and code review Essential Qualifications 8+ years of experience in system software engineering and embedded platf

PythonRedisLinuxAI
HI
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

$170K – $240K/yr

Quick readStrong listing-quality and freshness signals

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role HP IQ is seeking a Senior Power Systems Engineer to drive end to end system architecture, modeling, and optimization for wearable platforms. The candidate will build power models, define system use cases and operating modes, partner with product and engineering teams to meet aggressive power targets, and define manufacturing tests and field telemetry for NPI. The ideal candidate brings strong systems thinking, hands-on experience with low power architectures, and the ability to build models and telemetry to drive tradeoffs from SOC level to board level to maximize user runtime. What You Might Do: Power architecture responsibility for a wearable device covering SoC states, sensor, audio, and memory architecture tradeoffs at board level. Battery, PCM, and charging profile definition and validation Design power experiments, test plans, and measurement & telemetry mechanisms across firmware and hardware to optimize power and performance. Build and maintain system-level power models to model expected power consumption for user profiles. Map power models by subsystem, correlating

PythonRedisAISEM
HI
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

$140K – $225K/yr

Quick readStrong listing-quality and freshness signals

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role The Device Experience team is building intelligent, desktop-native applications that redefine how people engage with their PCs. These aren’t traditional applications—they’re responsive, local-first experiences that seamlessly surface AI-powered insights, actions, and context, right when and where users need them. You’ll help craft the interface between human intent and machine intelligence—engineering native software that’s deeply integrated with Windows and optimized for performance. This work is core to how HP IQ brings the future of work to life: fluid, adaptive, and powered by intelligence that runs directly on the device. We’re looking for an engineer who’s excited to shape modern, intuitive experiences, and help define how users across HP’s global footprint interact with intelligent systems every day. You’ll lead by example, drive core application architecture, and help shape a flagship product from the ground up. What You Might Do Design and build native Windows applications that are performant, responsive, and polished. Develop on-device experiences that adapt in real time to

RedisGitRestAI
HI
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

$180K – $270K/yr

Quick readStrong listing-quality and freshness signals

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role HP IQ's Wireless Technology Team works cross-functionally with Electrical Engineering, Software, Mechanical Engineering, Product Design, Industrial Design, Program Management, and Operations to develop next-generation wearable and AI-connected products. As a Lead RF Systems & Desense Engineer, you will own the RF system architecture from concept through mass production. You will lead RF integration across Wi-Fi, Bluetooth, UWB, NFC and emerging wireless technologies while driving RF desense, coexistence, and wireless performance for highly integrated products. What You Might Do Lead RF system architecture and integration for wearable and mobile platforms. Own RF desense investigations and mitigation across the product lifecycle. Define RF specifications, link budgets, validation plans and performance targets. Lead coexistence strategy for Wi-Fi, Bluetooth, UWB, NFC and other radios. Partner with antenna, EE, FW, ME and silicon vendors to optimize total wireless performance. Perform CST and ADS simula

PythonRedisAIExcel
HI
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

$179K – $252K/yr

Quick readStrong listing-quality and freshness signals

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role As a Lead Software Engineer, Cloud Services, you will create scalable, reliable backend systems that support HP IQ's mission to transform the way people work. We value how we work as much as what we deliver. Our journey of continuous learning and evolution requires a flexible and resilient services platform that fosters innovation, experimentation, and adaptation. To enable this, we focus on designs and tools rooted in strong engineering principles like abstraction, composition, virtualization, automation, and iterative development cycles. What You Might Do Lead technical strategy and execution across development and infrastructure, designing and implementing scalable, secure cloud-native systems while establishing architecture standards and engineering best practices. Own end-to-end delivery of platform and cloud services, including infrastructure buildout, application architecture, APIs, deployment pipelines, observability, reliability, and performance, while mentoring engineers and driving cross-functional alignment. Work with modern containerization and cloud technologies, includi

JavaRedisDockerKubernetes
R
📍 Bellevue, WA; Menlo Park, CA· Full-time
✓ Quality checkedCompany trend -76.2%

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 Role + Team The Security Engineering team builds the identity and access control plane governing how employees, services, and agentic workloads access Robinhood’s critical infrastructure. We are a platform-building engineering team focused on creating secure, frictionless, and automated self-service access systems at scale. As a Staff Software Engineer on this team, you will shape Robinhood’s foundational identity architecture, define technical strategy, and build Tier-0 access infrastructure used across the entire company! From solving complex authentication and authorization challenges to setting secure guardrails for emerging AI and agentic workflows, your technical leadership will directly impact every product team at Robinhood! What You'll Do Access Control Plane Architecture: Define and build the core technical architecture for managing employee, service, non-human, and agentic access across company-wide resources Tier-0 Platform Engineering: Design, build, and operate highly available, resilient, and observable backend identity infrastructure using Go, Python, Rust, or comparable systems languages. AuthN & AuthZ Solutions: Implement modern identity protocols and access frameworks (OAuth 2.0, OpenID Connect, RBAC, ABAC, and policy-based access controls). AI & Agentic Access Governance: Develop secure access patterns, identity frameworks, governance, and observability guardrails for AI agents, LLM applications, and Model Context Protocol (MCP) systems. Self-Service Developer Experience: Create automated, developer-friendly platforms that allow teams to request, approve, provision, and audit access without ma

PythonVueAWSKubernetes
L
📍 Toronto, Canada· Full-time
✓ High-confidence listingCompany trend -72.4%

C$149.6K – C$187K/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. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing peta-byte scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. If you are a critical thinker with experience in machine learning workflows and LLMs, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial intelligence systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging AI, Machine learning and Data science. Responsibilities: Model Development & Research: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions. System Design: Architect scalable, reliable ML pipelines that integrate seamlessly with existing backend systems. Innovation & Applied Research: Stay ahead of the curve by exploring emerging algorithms, technologies (such as LLMs and LLM-based applications), and frameworks — critically eva

PythonMachine LearningAIGo
L
📍 San Francisco, CA· Full-time
✓ High-confidence listingCompany trend -72.4%
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. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing peta-byte scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. If you are a critical thinker with experience in machine learning workflows and LLMs, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial intelligence systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging AI, Machine learning and Data science. Responsibilities: Model Development & Research: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions. System Design: Architect scalable, reliable ML pipelines that integrate seamlessly with existing backend systems. Innovation & Applied Research: Stay ahead of the curve by exploring emerging algorithms, technologies (such as LLMs and LLM-based applications), and frameworks — critically eva

PythonMachine LearningAIGo
L
📍 Toronto, Canada· Full-time
✓ High-confidence listingCompany trend -72.4%

$136K – $170K/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. Marketplace teams are at the heart of our products and decision-making, owning everything from rider pricing to driver earnings, incentives, and efficient matching. We’re looking for passionate, driven engineers to build systems that empower our riders and drivers to have the best transportation experience possible through prediction, adaptivity, and personalization. We’re looking for someone who is excited about working in a fast-paced, innovative, and impactful environment to create reliable solutions to distributed computing, ML, and data problems. The Pricing team is a centerpiece of Lyft’s Marketplace org, determining prices for all rideshare products and supporting new initiatives. We work with Product & Science to solve and implement complex pricing requirements, balancing the needs of riders, drivers, and the business goals. As an owner of one of the most critical flows in the company, you will work on a wide array of challenges such as latency-sensitive concurrency problems, large scale distributed systems, and experimentation. If you’re interested in playing a large part in demand / supply management and improving the Lyft customer experience, this could be a great fit for you. Responsibilities: Help define the roadmap and architecture based on technology and business needs Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results Lead projects of multiple people from idea to positive execution Write clear, scalable and clear design documentation Write well-crafted, well-tested, readable, maintainable code Utilize your expertise in Python, Golang, AWS to deliver robust and scalable solutions Participate in code reviews to ensure code quality and distribute knowledge Proactively participate in resolving ongoing incidents Share your kno

PythonAWSAzureGCP
A
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

$144K – $216K/yr

Quick readStrong listing-quality and freshness signals

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. Amplitude is looking for a Senior Salesforce Platform Engineer to support the scaling and ongoing evolution of our go-to-market (GTM) systems. You'll own end-to-end visibility into our Salesforce platform, from day-to-day configuration and support to long-term architecture and improvement. As part of our GTM Engineering team, you’ll partner with Sales, GTM Operations, Finance, Product & Engineering, and GTM leadership to deliver well-governed solutions across Salesforce and connected platforms like CPQ, NetSuite, Amplitude, and Snowflake. What You'll Do Hands-on platform administration, configuration, troubleshooting, maintenance, testing, upgrades, and user support Maintain and optimize CPQ, pricing, quoting, and opportunity workflows to support the quote-to-cash process Serve as the escalation line of support for Salesforce, handling escalated i

ReactCI/CDGitAI
T-
📍 Toronto, Canada· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About the Role: As a Staff Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These platforms power essential services like personalized recommendations, search, and content understanding across Tubi. A core responsibility of this team is developing and maintaining low-latency ML model serving systems that support Deep Learning, LLM, and Search models. This involves building self-service infrastructure and critical components such as the inference engine, feature store, vector store, and experimentation engine. You will improve the way we deploy and operate our services and even contribute to open-source projects. This role grants the architectural freedom to explore new frameworks, lead critical cross-functional projects, and transform the capabilities of our ML and Product teams. Responsibilities: Design and build scalable, high throughput, and low latency distributed systems using Scala Build reusable components and services that serve various ML applications like Personalization, Search, Ads and Exploration Partner closely with ML engineers to understand their challenges and limitations and develop scalable solutions to address them. Proactively recommend solutions to keep our ML Inference stack state of the art. Take a data driven approach to identifying & optimizing latency, cost, and efficiency of our infra. Lead large scale cross functional refactorings if necessary Mentor other engineers on the team on system design, effective incident management, interviewing, leveraging LLMs for work, etc. Collaborate with ML, Product, and cross functional engineering teams to define the long term vision and architecture for ML Infrastructure at Tubi. Your Background: Experience designing and building scalable, distributed systems in any modern backend language (e.g., Scala, Java, Python, Go, C++); experience with Scala or JVM b

PythonJavaSQLRedis
A
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

$198K – $299K/yr

Quick readStrong listing-quality and freshness signals

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. The Developer Experience (DX) team at Amplitude builds and maintains the foundations that power how developers integrate, extend, and trust Amplitude across platforms. Our mission is to make Amplitude’s SDKs reliable, easy to adopt, and a joy to build on, so customers can confidently instrument their products and unlock insights at scale. We’re looking for a Staff Software Engineer, iOS to play a key technical leadership role on our DevEx team. In this role, you will lead the design and development of Amplitude’s core iOS SDKs, including Analytics and Session Replay , and serve as the iOS platform expert that other SDK teams, such as Statsig, Guides, and Surveys rely on. As a Staff Engineer, you’ll operate with a wide scope and high impact: setting technical direction for the iOS platform, driving cross-SDK architecture, improving performance and reliabilit

GitAISwiftGo
A
📍 San Francisco, Canada· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. About the Team DevX owns engineering velocity at Amplitude: build systems, CI/CD, developer environments, and internal tooling. We're building a software factory: automated workflows that remove manual bottlenecks from how engineers ship code. The Role We're looking for a Staff Software Engineer – DevX (Hybrid – San Francisco) who bridges infrastructure and application thinking and can accelerate how the whole team develops, tests, and ships in the cloud. You'll set architecture for our developer platform, lead our software factory work, and push our development model toward cloud-first workflows. This is a high-leverage, low-oversight role. You'll own initiatives end to end, from an ambiguous problem to production, and set technical direction for a foundational team. What You'll Do Cloud development platform: Unify and scale our existing loca

CI/CDGitAIGo
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