Staff Linux Systems Engineer (Platform & Infrastructure)

Role Overview Extreme Networks is hiring a Staff Linux Systems Engineer for the Platform & Infrastructure team in Toronto, Canada. This role focuses on strengthening and evolving the company's Linux-based systems and core infrastructure. What You Will Do Work closely with teams across the organization to design and implement scalable Linux systems Contribute technical expertise to improve reliability, performance, and security of infrastructure Support the development and deployment of solutions that address client requirements What We’re Looking For Extensive experience with Linux systems engineering Strong background in building and maintaining infrastructure at scale Ability to collaborate effectively with cross-functional teams

We are seeking a skilled and motivated Linux Systems Engineer to join our dynamic team. In this role, you will be responsible for designing, implementing, and maintaining Linux-based systems to ensure optimal performance and security. You will work closely with cross-functional teams to troubleshoot issues and implement innovative solutions.Your expertise in Linux environments will play a vital role in our success as we strive to provide high-quality services to our clients.

Role Overview Paytm is seeking a Lead Staff Platform Engineer focused on AI Infrastructure in Toronto, Canada. This position centers on building and scaling the systems behind Paytm's AI inference platform, which supports both internal teams and enterprise clients as they develop new customer-facing AI solutions. What You Will Do Own and manage GPU infrastructure, model hosting, and model serving for the AI inference platform. Enable multi-model routing across different modalities, including voice, vision, and fintech workflows. Oversee deployment of proprietary and third-party models on shared GPU and accelerator clusters. Develop self-service platforms that let teams provision compute, deploy, and customize models using APIs and control planes. Establish the AI control plane for Paytm Intelligence (Pi), with a focus on policy-driven routing, quotas, observability, and cost visibility. Impact Areas Accelerate delivery of AI agents and features across payments, risk management, fraud detection, collections, support, and developer tooling. Improve reliability and efficiency of hardware utilization. Give teams the tools to use AI infrastructure without rebuilding core systems each time. Location This role is based in Toronto, Canada.

Infrastructure Technical Staff MemberOn-site | Full-timeCompensation: CA$190K – CA$280KJoin our innovative team at mlabs as we create open-source browser infrastructure that drives the future of AI agents. With over 6,000 stars on GitHub and millions of browser sessions served monthly, our platform has experienced phenomenal growth, expanding 50x in 2025 alone. Our technology empowers developers to create seamless web interactions through our robust API.As one of the pioneering team members, you will collaborate with a high-performance group of four talented individuals, backed by top-tier investors, as we tackle the most challenging issues in distributed systems—from kernel-level debugging to global VM orchestration.The RoleAs an Infrastructure Technical Staff Member, your mission will be to build and enhance the distributed systems that support millions of browser sessions. Given the resource-intensive nature of browsers, your focus will be on optimizing performance, ensuring rapid startup times, and maintaining strong multi-tenant isolation across our infrastructure.Key Responsibilities:Global Orchestration: Design and maintain VM orchestration using technologies such as Nomad, Firecracker, and Kubernetes, with a focus on intelligent scheduling and achieving sub-second cold starts.Systems Engineering: Implement kernel-level observability with eBPF and enhance resource isolation through cgroup v2 and NUMA scheduling.Networking: Develop high-performance networking layers, including anycast routing and cross-region failover.Infrastructure as Code: Manage multi-cloud deployments across AWS, GCP, and Azure while overseeing customer VPCs with Pulumi.Product Ownership: Create developer tools for reliable browser automation and actively contribute to our open-source ecosystem.RequirementsExperience: A minimum of 5 years in operating production-scale distributed systems capable of processing thousands of requests per second.Linux Internals: Extensive knowledge of the Linux kernel, syscall optimization, and eBPF.Security & Isolation: Proven experience with multi-tenancy, resource limits, and security boundaries.Network Fundamentals: Competency in diagnosing complex production issues such as packet loss or routing failures at the protocol level.Execution: A proactive approach to ownership of outcomes from architecture through to deployment.

Role overview The Staff Engineer for Patient Platform at Prenuvo will play a key part in shaping technology that connects patients and healthcare professionals. The focus is on building systems that enhance patient experience and expand access to healthcare through thoughtful engineering. What you will do Design and implement systems that support both patients and healthcare teams Create solutions to improve how patients interact with healthcare services Use engineering expertise to boost the platform's reliability and reach Location This role is based in Toronto, Ontario, Canada.

Hello, Future Homie!At Homebase, we are on a mission to empower small businesses to flourish. Our team is dynamic, innovative, and dedicated to making a meaningful impact. We prioritize empathy in our development process, act swiftly, and embrace bold initiatives that create substantial real-world results. Every member of our team is committed to elevating our standards, supporting one another, and celebrating our collective achievements.We’re not just developing an application; we’re cultivating unstoppable teams. So, what do you think? Are you ready to join us?Your Impact Begins HereWe are in search of a Staff Engineer (E5) to help shape the architectural future of Homebase’s Core Platform. This pivotal role will span our Identity & Notifications (IN) and Billing & Businesses (BB) teams—two essential domains that facilitate customer access, communication, and transactions within Homebase.As a senior technical leader, you will play a dual role as both a hands-on contributor and a mentor. Reporting directly to the Senior Manager of Core Platform, you will collaborate with engineering managers and individual contributors to design scalable services in line with our service-oriented architecture (SOA) and event-driven architecture (EDA) vision. Your leadership will guide engineers in adopting best practices while identifying opportunities to enhance reliability, performance, and developer velocity across our systems.This is a crucial position for a seasoned platform engineer who is passionate about enabling teams, refining architectures, and tackling complex system challenges that yield impactful results at scale.Act as the technical liaison between the Identity & Notifications and Billing & Businesses teams, ensuring architectural integrity and dependability.Lead the design and implementation of new patterns aligned with SOA and EDA.Mentor engineers from both teams, enhancing their design, debugging, and systems thinking capabilities.Collaborate with Engineering Managers and Product Managers to clarify technical requirements, define project scopes, and sequence foundational tasks.Identify system bottlenecks, advocate for architectural enhancements, and implement practical solutions.Steer the technical direction of high-impact projects, particularly those introducing SOA/EDA patterns into our legacy Rails systems.Promote an AI-first development approach: utilize AI tools to enhance code quality, design exploration, and delivery speed.

Role overview Harvey seeks a Staff Software Engineer in Toronto to drive the evolution of its AI Platform. The focus is on designing and building scalable systems that can adapt to business needs and deliver reliable performance. Key responsibilities Architect and develop essential components for the AI Platform, prioritizing both performance and scalability. Collaborate with engineers and data scientists to address complex technical challenges. Enhance the platform’s stability, speed, and overall functionality. Collaboration and impact This role works alongside a talented group in engineering and data science. Contributions will have a direct effect on the platform’s capabilities and support Harvey’s business outcomes.

Join Steel as a Member of the Technical Staff in our Infrastructure team, where you will play a pivotal role in building and maintaining robust systems that support our innovative projects. As part of a dynamic team, you'll leverage your technical expertise to enhance our infrastructure capabilities.

Since its inception, Fivetran has been dedicated to simplifying and ensuring reliable access to data, much like the electricity that powers our lives. Our platform enables customer data to flow effortlessly into their warehouses, structured and ready for querying, without the need for engineering or maintenance. We take pride in empowering organizations to harness the full potential of their data every day.About the RoleJoin our dynamic ETL Platform team at Fivetran, where we are building robust data pipelines to support the modern data architecture of thousands of companies.As a Staff Software Engineer, you will play a pivotal role in managing the core platform that underpins Census’ sync engine. Your responsibilities will include ensuring the seamless flow of customer data—on time, every time. You will design and implement significant projects like our recent Sync Tracking overhaul, which enhances our ability to capture, store, and process large datasets. This provides our customers with unparalleled visibility over their data streams, ensuring that every record reaches its destination accurately. Our team is also responsible for managing a scalable and adaptable fleet of machines to meet the evolving demands of our clients.This is a full-time, hybrid position based in our Toronto office.

Marble AI develops AI-powered tools designed to help accounting firms and their clients manage taxes with greater efficiency. The team’s work centers on simplifying complex tax workflows for mid-sized and large firms. As an early-stage company, Marble AI encourages collaboration and focuses on solving important challenges for its customers. Role overview The Platform Engineer will play a key role in strengthening and expanding the infrastructure that supports Marble AI’s tax platform. Working closely with the engineering team, this position aims to accelerate product development and maintain secure systems capable of handling sensitive financial information. This role combines elements of infrastructure, DevOps, and Site Reliability Engineering. The Platform Engineer will design and maintain the platform, enhance developer tools, and ensure that systems remain secure, observable, and resilient. Input into the direction of the data platform and security practices across the technology stack is also expected. What you will do Build and manage cloud infrastructure using infrastructure-as-code principles. Take responsibility for system reliability, observability (with OTEL), and incident response. Design and refine developer tooling and CI/CD pipelines. Collaborate with product and data teams to address scalable data platform needs. Maintain strong security practices, especially in handling sensitive tax data. Optimize system performance, scalability, and cost across services. Contribute to infrastructure, backend systems, and developer workflows. Requirements Extensive experience with cloud infrastructure such as AWS or similar platforms. Hands-on expertise with Kubernetes, Terraform, and Helm. Background in DevOps, SRE, or platform engineering roles. Experience building and maintaining CI/CD pipelines or developer tools. Strong understanding of distributed systems, networking, and system reliability. Ability to deliver practical solutions while considering long-term system design. Location Toronto

Role Overview Paytm is hiring a Staff AI Platform Engineer in Toronto, Canada, with a focus on Inference and Agentic Systems. This role centers on designing and improving AI-powered platforms that support intelligent, agent-like features for users and business applications. What You Will Do Work with a skilled team to build and refine AI solutions that support agentic behaviors and inference-driven capabilities. Apply experience in machine learning, software engineering, and system architecture to develop and scale reliable AI platforms. Contribute technical leadership and hands-on expertise to projects that advance Paytm’s AI offerings. Key Skills Deep knowledge of machine learning and inference methods Strong background in software engineering Experience designing and maintaining complex system architectures

At Shakepay, we are dedicated to leading the charge into the bitcoin golden age. Our goal is to transform financial services to ensure that every Canadian receives their fair shake.Our vibrant culture thrives on meaningful work, collaborative success, and celebrating achievements. If you are passionate about personal growth, rapid execution, and sharing innovative ideas with a team of like-minded individuals, we invite you to join us in building something remarkable!About ShakepaySince our inception in 2015, we have developed the Shakepay app to facilitate fast, easy, and secure bitcoin transactions. In 2022, we introduced the Shakepay Card, enabling users to earn bitcoin rewards while shopping. Currently, over 1.5 million Canadians trust Shakepay to enhance their bitcoin savings and gain control over their financial future.We operate under regulations across all Canadian provinces and territories and are supported by prominent venture capitalists with funding totaling $44 million. Our community is passionate, loyal, and continuously expanding, and we are seeking individuals eager to contribute to a truly exceptional venture.About the Platform TeamThe Platform team empowers engineering teams at Shakepay by equipping them with the essential tools, infrastructure, and best practices needed for autonomy, productivity, and reliability. As the Platform Engineering Manager, your role will involve ensuring a harmonious balance between rapid delivery and operational excellence.About the RoleWe are in search of an Engineering Manager to lead and develop a team of platform engineers with a focus on Infrastructure, DevOps, and developer experience.This position entails people leadership, providing technical guidance, and overseeing delivery on platform initiatives that influence every engineering team within Shakepay. You will collaborate closely with engineers, engineering leaders, security, and compliance teams, leading by example and remaining hands-on where necessary to drive technical decisions, facilitate delivery, and ensure our platform evolves alongside both developer and business requirements.While you don’t need to be an expert in every area, possessing sufficient technical strength to set direction, question assumptions, and make informed trade-offs across DevOps, infrastructure, and reliability is crucial.What You’ll Be DoingLead, mentor, and expand a team of platform engineers across Infrastructure, DevOps, and Developer Experience.Establish technical direction for platform architecture and guarantee the execution of the roadmap.Balance immediate delivery with long-term investments in tooling, infrastructure, and reliability.Oversee cloud infrastructure, deployment pipelines, and operational tools within a regulated environment....

About UsAir-tek is an innovative Canadian software company recognized for its unique suite of products that have secured a significant presence in the global market. Our product-market fit is exceptional, and we are experiencing a surge in customer demand. During this phase of rapid growth, we maintain a discreet operational presence.Our diverse team is united by a shared passion for tackling complex challenges, a commitment to innovation, and an ambition to redefine the passenger-centric travel industry. Located in Toronto, we foster an inclusive culture based on trust, collaboration, excellence in product delivery, and continuous personal development. We take pride in our work and support each other as a team.About the TeamThe Platform Engineering team consists of highly collaborative software engineers dedicated to building, scaling, and maintaining the foundational infrastructure that empowers other teams to develop Air-tek’s software solutions. We focus on creating secure, scalable, and efficient infrastructure, employing modern development practices. Our impact is felt across the company as we work closely with operations, support, product management, and other engineering teams to meet Air-tek’s objectives.As a Senior Platform Engineer, you will play a pivotal role in designing, developing, and operating our core platform services, enabling us to deliver robust and reliable infrastructure solutions that support the expanding needs of our products.

Join Opendoor as an Infrastructure Engineer and be at the forefront of revolutionizing the real estate industry through technology. You will collaborate with cross-functional teams to design, implement, and maintain scalable infrastructure solutions that enhance our platform's reliability and performance.

Join Waabi, an innovative leader in Physical AI, founded by AI pioneer Raquel Urtasun. We are pioneering the future of autonomous transportation, developing cutting-edge technology for commercial autonomous trucks and robotaxis. Our esteemed team collaborates with top-tier partners across AI, automotive, logistics, and deep technology sectors.With offices located in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is rapidly expanding and is in search of diverse, innovative, and collaborative individuals eager to make a positive impact on the world. For more information, please visit: www.waabi.aiAt the heart of Waabi’s mission is our groundbreaking simulation technology. Our state-of-the-art closed-loop simulation engine, Waabi World, employs the latest generative AI technologies to create a highly realistic environment for training and evaluating self-driving systems. The Simulation Platform team is tasked with delivering a modular, scalable platform that seamlessly integrates the onboard autonomy system, intelligent actor models, and sensor simulation.Key Responsibilities:- Enhance and contribute to Waabi World, our advanced self-driving simulator, to expedite the development of autonomous vehicles.- Optimize the scalability and performance of the simulation platform to facilitate efficient simulations at a massive scale.- Design and develop orchestration software that interconnects simulation subcomponents, including the autonomy system, data-driven actor models, and sensor simulations powered by generative AI.- Engage in technical and architectural discussions, collaborating with researchers and engineers to share insights and innovative ideas.- Collaborate closely with internal users to grasp their needs and workflows, proposing new features to enhance their experience with the simulator.- Promote best practices and set standards for software development.- Lead complex cross-functional technical projects that have a significant impact across Waabi's systems and the organization as a whole.

Be Part of the Future of Finance!At Robinhood, we are dedicated to democratizing finance for everyone. With an anticipated transfer of assets totaling $124 trillion expected to be inherited by younger generations in the coming decades, we invite you to join us at the forefront of this monumental movement.About Our Team and Your RoleThe Developer Infrastructure team at Robinhood is crucial in empowering engineers to deliver high-quality software with speed and security. We create and maintain the tools and systems that foster seamless software development experiences across our organization.We strive for infrastructure that is intuitive, robust, and empowering. Our goal is to minimize friction, enhance feedback loops, and boost developer productivity through top-tier tools and operational excellence.We are searching for a Senior Staff Software Developer to lead our Developer Infrastructure initiatives. In this capacity, you will act as a technical leader and architect, influencing the future of developer experience at Robinhood and spearheading projects that enhance velocity, quality, and reliability at scale.This position is based in the office location(s) stated in this job description, aligning with our in-office working philosophy. Please consult your recruiter for further details regarding our in-office expectations.

About the Role Momentum Financial Services Group is looking for a Senior Infrastructure Engineer in Toronto. This position focuses on designing, implementing, and maintaining infrastructure solutions that support the company’s goals. The role calls for hands-on work with systems and close collaboration with teams across the organization. What You Will Do Design and implement infrastructure solutions to meet business needs Maintain and improve system performance and security Partner with cross-functional teams to support ongoing projects Lead efforts to enhance infrastructure capabilities Location This role is based in Toronto, Canada.

Cerebras Systems is revolutionizing AI technology with the world's largest AI chip, which is 56 times larger than traditional GPUs. Our innovative wafer-scale architecture combines the immense computational power of multiple GPUs into a single chip while maintaining unparalleled programming simplicity. This allows us to provide extraordinary training and inference speeds, empowering machine learning users to seamlessly execute large-scale ML applications without the complexities of managing numerous GPUs or TPUs. We proudly serve a diverse clientele, including leading model laboratories, global corporations, and innovative AI-centric startups. Notably, OpenAI recently formed a multi-year partnership with Cerebras, committing to deploy 750 megawatts of scale to enhance critical workloads with ultra-high-speed inference. Thanks to our groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution globally, achieving speeds over 10 times faster than GPU-based hyperscale cloud inference services. This remarkable speed transformation enhances user experiences and facilitates real-time iterations while augmenting intelligence through advanced agentic computation. About The RoleThe Inference Core Platform team is integral to Cerebras’ mission of delivering the world’s fastest AI inference. Our engineers develop the core software and hardware infrastructure that enables low-latency, high-speed, and high-throughput deployment on the Cerebras Wafer-Scale Engine (WSE). We oversee the entire stack—from model compilation and scheduling to custom hardware kernels and driver development.The Platform Benchmarking team is crucial in enhancing the performance and scalability of AI inference on one of the most advanced computing systems ever developed. We spearhead the establishment of core inference capabilities and implement performance improvements at every development phase, from initial prototyping to full production deployment.We seek enthusiastic engineers eager to redefine the boundaries of AI inference. If you're passionate about developing systems that measure, analyze, and optimize performance on a large scale, this is your chance to make a transformative impact on the future of AI.

Join our innovative team at mlabs as a Senior Infrastructure Engineer, where you will play a crucial role in designing, implementing, and managing our cloud infrastructure. You will work collaboratively with other engineers to ensure high availability and performance, leveraging cutting-edge technologies to drive our projects forward.

Role overview BitGo is hiring a Senior Infrastructure Engineer in Toronto, Ontario. This role focuses on designing and maintaining the company’s infrastructure. The position works closely with teams across the organization to improve system performance, scalability, and reliability.