Infrastructure Technical Staff Member

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.

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.

"Embrace the power of rapid learning as an engineer in the AI era."What We Seek1. Strong Engineering FundamentalsAt Viggle AI, we believe in the versatility of our engineers, regardless of their specialization—be it frontend, backend, or algorithms. What truly counts is your robust engineering foundation and your capacity to simplify, refactor, and enhance complex systems.As AI transforms the tech landscape at a rapid pace, those with a strong grasp of fundamental engineering concepts can easily adapt and emerge as well-rounded, full-stack contributors. You will take the initiative in building intricate systems and engage closely with product and design teams to create exceptional user experiences.2. Outstanding Learning AptitudeIn an environment defined by swift technological advancements, past knowledge can quickly become obsolete. We prioritize your ability to swiftly learn new open-source tools, adapt to emerging technologies, and thrive in uncertain situations while executing effectively.We invite curious, agile thinkers who are enthusiastic about exploring technology and overcoming challenges to join our dynamic team.About Us:Viggle AI is an innovative startup supported by prominent investors such as a16z and TSFV. We are at the forefront of the Generative AI revolution, focusing on controllable video generation for content creators, providing cutting-edge technology that enables creators to bring their visions to life.Our rapidly expanding app is cherished by a diverse range of creators, from Hollywood professionals to TikTok influencers, and boasts a user base exceeding 30 million, along with hosting the second-largest Discord community globally.Benefits: Thriving startup atmosphere: build diligently, ship quickly, and grow continuously Competitive salary and equity package Comprehensive dental and health insurance Free meals and a vibrant, enjoyable office environment

About Alloy RiverAt Alloy River, we are pioneers in developing agentic applied AI specifically tailored for the finance and accounting sectors. In a world where accounting processes are often disjointed, manual, and reactive, we strive to create intelligent, structured, and decisively operational solutions. Our objective is to revolutionize finance, transforming it from a slow, labor-intensive reporting function into a dynamic, real-time strategic engine that drives profit and ensures control.We have fundamentally re-engineered the general ledger, integrating automation, workflow orchestration, and applied AI into its very core. Rather than having accountants shuffle data between various tools and manage tedious checklists, our advanced system generates outcomes, highlights exceptions, and amplifies leverage over time. This is not mere incremental enhancement; it represents a comprehensive redesign of financial infrastructure for an AI-driven future.With over $30 million raised to date from notable investors including Portage Ventures, Electric Capital, Elad Gil, and distinguished angels such as Tobi Lütke and Balaji Srinivasan, we are expanding our operations with the finest builders, operators, and craftsmen in the industry.Role OverviewIn this pivotal role, you will be the architect behind our foundational systems. The patterns you design will dictate the movement and settlement of financial data across the ledger, enabling others to build upon it rapidly and securely. Your responsibilities will encompass core system architecture, integration infrastructure, and the abstractions that ensure a cohesive and scalable codebase. Your work will be critical to product builders, agents, and future team members. Managing financial data requires meeting rigorous standards that most software does not encounter, and your contributions will set the benchmark.What You'll Work OnLead the development of the fundamental patterns that dictate the movement, matching, and settlement of financial data - the essential layer upon which everything else relies.Create essential primitives that product builders can leverage instead of reinventing: counterparty enrichment, object-arrival matching, and transaction reconciliation.Develop abstractions that empower engineers and agents to contribute effectively while navigating the complexities beneath.Serve as the architectural authority for the team - reviewing methodologies, guiding new projects, and maintaining the coherence of the codebase.What We're Looking ForThis position requires a robust technical foundation and a proven track record of developing systems that serve as the backbone for other engineers. This is not a role for generalists; we seek individuals with substantial experience in building reliable systems.

Role overview This Technical Staff Member position focuses on migrations for Cockroach Labs in Toronto, Canada. The role centers on supporting organizations as they move their data and systems to Cockroach Labs' database products. Collaboration with colleagues from various teams is a key part of planning and carrying out migration strategies that protect data and minimize downtime. What you will do Guide clients through the process of transitioning to Cockroach Labs' database solutions Work closely with teams across the company to design, develop, and implement migration plans Emphasize data integrity and aim to reduce service interruptions throughout migrations

About the Role Cohere is hiring a Manager of Technical Staff in Toronto. This role leads a team of skilled technical professionals, guiding projects that advance AI technology. The manager sets direction, supports team growth, and ensures projects meet Cohere’s standards. What You Will Do Lead and mentor a group of technical staff members Oversee project delivery, ensuring quality and timely completion Promote collaboration and a supportive team culture Help shape the direction of AI-focused projects at Cohere Location This position is based in Toronto.

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.

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.

Join Our Unique Team!At Farm Boy, you will play a crucial role in fostering a clean, inviting, and safe shopping atmosphere that our customers love. With your keen attention to detail, dedication to excellence, and a customer-centric approach, you will enhance the experience for both our shoppers and fellow team members. Here’s how you will contribute:Provide warm and engaging customer service that aligns with Farm Boy's dedication to delivering the finest fresh shopping experience.Welcome, greet, and assist customers in accordance with Farm Boy Service Standards.Conduct general housekeeping tasks to maintain clean, safe, and organized workspaces, including sweeping, mopping, and dusting.Ensure all shared and team member spaces, such as break rooms, restrooms, and locker areas, are well-kept.Assist in tracking inventory and procuring store supplies as needed.Adhere to corporate policies and procedures with a strong emphasis on Health & Safety, Food Safety, and appropriate equipment usage.Execute assigned opening and closing tasks and support team members as required.Occasionally undertake additional responsibilities to aid overall store operations.

"Harnessing the power of rapid learning is essential for engineers in the AI age." Join Our Team1. Strong Engineering FundamentalsAt Viggle AI, we believe in breaking down the barriers of traditional engineering roles. Whether your expertise lies in frontend, backend, or algorithms, what truly counts is your robust engineering principles and your proficiency in simplifying, refactoring, and optimizing intricate systems.As AI transforms technology, it brings forth innovative tools and methodologies. Engineers with a solid foundation can seamlessly adapt and contribute as versatile, full-stack team members. You will independently develop complex systems while closely collaborating with product and design teams to enhance user experiences.2. Outstanding Learning AptitudeIn a fast-paced AI landscape, prior knowledge can quickly become obsolete. We appreciate your capacity to swiftly learn new, unfamiliar open-source tools, adapt to emerging technologies, and navigate through uncertainty while delivering results.We seek inquisitive and adaptable thinkers who relish the exploration of technology and thrive in uncertain environments. If you are enthusiastic about ongoing learning and personal growth, we encourage you to apply.About Viggle AI:Viggle AI is an innovative startup supported by renowned investors, including a16z and TSFV. At the forefront of the Generative AI revolution, we specialize in controllable video generation, empowering content creators with advanced technology to bring their creative visions to life.Our rapidly expanding application is favored by creators ranging from Hollywood professionals to TikTok influencers, serving over 30 million users and hosting the second-largest Discord community globally.Perks of Joining Us: Dynamic startup atmosphere: Work hard, deliver quickly, and grow daily Competitive salary & equity options Comprehensive dental and health insurance plan Free meals and a vibrant office culture

At Steer North America, we envision a world where essential services and infrastructure enhance the quality of life for everyone. Our mission is to be the foremost consultancy shaping the future of how communities function, ensuring better connectivity, living, and working environments. With a strong commitment to delivering impactful results, we utilize our extensive expertise in critical services and infrastructure to empower our clients and foster thriving communities and economies. In a dynamic world, we believe that complex challenges necessitate powerful solutions, combining global insights with local partnerships, technical proficiency, and impartial guidance.Position Overview: We are looking for a seasoned professional to join our team as we expand our Technical Due Diligence (TDD) Practice across North America. This pivotal role marries deep engineering and operational acumen with strategic advisory skills to assist investors, lenders, and concessionaires in making informed financing and acquisition choices. Working alongside our current leadership team, you will drive strategic growth, manage intricate projects, and nurture enduring client relationships within the infrastructure sector.Key ResponsibilitiesDriving Strategic Growth:Foster the growth of the TDD Practice in alignment with overarching business objectives by identifying new opportunities, driving revenue, and enhancing market presence;Serve as a technical and thought leader both internally and externally;Collaborate with organizational leadership to execute strategic planning, sales, and marketing strategies.Lead the TDD Market:Technical Due Diligence Leadership: Spearhead and deliver technical due diligence assessments for Transport, Energy, and Social assets, including conducting site evaluations to gauge asset condition, performance, and associated risks.Project Management: Oversee multi-disciplinary teams across diverse geographies, languages, time zones, and cultures, integrating external experts and internal colleagues to provide high-quality, timely, and cost-effective solutions.Client Advisory: Convert technical insights into actionable recommendations for investors and stakeholders. Collaborate with Financial, Traffic & Revenue, and Environmental, Social and Governance due diligence teams to create cohesive reports.Risk Assessment: Analyze and assess technical and operational risks associated with infrastructure assets, including contractual agreements, construction methodologies, operational maintenance, lifecycle planning, and propose strategies for risk mitigation.Reporting & Communication: Develop comprehensive, client-ready reports and presentations tailored for investor audiences, ensuring effective communication of findings.

Join Egis Group as a Technical Director for our Nuclear Site Infrastructure Program, where you will take the lead in shaping innovative solutions for complex technical challenges. Your expertise will drive project success and ensure compliance with industry standards.

Who We Are:At Cohere, our mission is to harness the power of intelligence for the betterment of humanity. We are at the forefront of developing and deploying cutting-edge models for developers and enterprises, enabling them to create transformative AI experiences like content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. We firmly believe that our contributions are vital for the widespread integration of AI technologies.Our passion for innovation drives us. Each team member is accountable for enhancing our models' capabilities and delivering exceptional value to our customers. We thrive in a fast-paced environment, committed to excellence and customer satisfaction.Cohere comprises a diverse team of researchers, engineers, and designers, each a leader in their respective fields. We believe that diverse perspectives are essential to building outstanding products.Join our journey and help shape the future of AI!Why This Role Matters:As a Machine Learning Engineer focused on synthetic data, you will be instrumental in developing the synthetic data pipeline that supports Cohere's advanced language models. Your role will involve overseeing the entire lifecycle of synthetic data, which includes maintaining and optimizing the synthetic data pipeline, performing data analysis and generation, and conducting data ablation and model evaluations to assess data quality. You will work with diverse datasets, transforming them through generative models to enhance token efficiency and model performance. By merging research with engineering, you will connect raw data to state-of-the-art AI models, directly impacting critical training metrics such as throughput and accelerator utilization.Your contributions will be pivotal to our mission of providing efficient and reliable language understanding and generation capabilities, fostering innovation in natural language processing. If you have a passion for transforming data into the backbone of AI systems, this role presents a unique opportunity to make a significant impact.Please note: We have offices in London, Paris, Toronto, San Francisco, and New York, and we are proud to be a remote-friendly company! There are no location restrictions for this role within the EST and EU time zones.Your Responsibilities:Design and implement scalable inference pipelines that operate efficiently on large GPU clusters.Conduct data ablation studies to evaluate data quality and experiment with diverse data mixtures to enhance model performance.Collaborate with cross-functional teams to integrate synthetic data solutions into existing AI frameworks.Analyze and optimize data generation processes to support various AI applications.

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 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.

About UsAt Cohere, our mission is to scale intelligence for the betterment of humanity. We specialize in training and deploying cutting-edge models for developers and enterprises, enabling them to create AI-powered experiences such as content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. Our commitment to excellence is key to fostering the widespread adoption of AI technologies.We take great pride in our craft. Each team member is dedicated to enhancing the capabilities of our models and maximizing the value delivered to our clients. We thrive in a fast-paced environment, working diligently to prioritize our customers' needs.Cohere is a dynamic team of researchers, engineers, and designers, all driven by a shared passion for innovation. We believe that a diverse range of perspectives is essential for creating exceptional products.Join us on this exciting journey and help shape the future of AI!Why this role mattersAs a Machine Learning Engineer focusing on pre-training data, you will be instrumental in developing the data pipeline that supports Cohere’s advanced language models. This role involves conducting data ablations to evaluate data quality and crafting pre-training data mixtures aimed at optimizing model performance. By merging research with engineering, you will play a crucial role in transforming raw data into state-of-the-art AI models and will directly influence key training metrics such as throughput and accelerator utilization.Your contributions will be vital to our mission of delivering reliable and efficient language understanding and generation capabilities, driving innovation in natural language processing. If you're passionate about harnessing data to build foundational AI systems, this position presents a unique opportunity to make a significant impact.Note: Our offices are located in London, Paris, Toronto, San Francisco, and New York, and we fully support remote work! This role is open to candidates located anywhere in the EST to EU time zones.As a Machine Learning Engineer, Pre-Training Data, your responsibilities will include:Conducting data ablations to assess data quality and experimenting with data mixtures to boost model performance.Developing robust data modeling techniques to guarantee datasets are structured and formatted for optimal training efficiency.Researching and implementing innovative data curation methods, utilizing Cohere’s infrastructure to propel advancements in natural language processing.Collaborating with cross-functional teams to ensure the integration of high-quality data into our models.

Join Our Team as a Member of Technical Staff (Applied AI Engineer)Location: TorontoOnsite | Full-timeCompensation: $140K - $260KAt mlabs, we are pioneering an open-source browser infrastructure that fuels the next generation of AI agents and applications. Our high-performance Sessions API empowers developers to create products that engage with the web as effortlessly as humans do.Having achieved an impressive 50x growth in our platform in 2025 through organic word-of-mouth and a robust open-source community (over 6,000 GitHub stars), we are seeking a talented engineer to help us redefine browser automation. Our dedicated, high-caliber team is backed by top-tier investors, and we operate with an intense focus on shaping the future of the internet.The RoleIn this pivotal position, you will bridge the gap between product, research, and community engagement. This role transcends traditional ML or DevRel functions—it's a blend of both. You will collaborate with AI agent developers and our core infrastructure, working closely with the founding team to prioritize and design what we build.Your responsibilities will include conducting experiments to assess the effectiveness of various AI models for browser automation, translating those findings into frameworks, research, and engaging content that resonates with developers. We thrive on hard work and rapid execution, and we expect the same vigor from our team; late nights and weekend work are part of the journey toward creating something extraordinary.Key ResponsibilitiesDevelop a TypeScript browser agent framework that integrates LLMs with our core systems.Conduct experiments to determine the most effective models (such as GPT-4, Claude, Gemini) and prompting strategies for complex web tasks.Create open-source demonstrations and integrations with frameworks like LangChain, CrewAI, and other emerging agent platforms.Author technical blog posts and research publications that position our team as leaders in the browser automation space.Collaborate with our Growth Lead to transform experimental insights into compelling content that boosts developer adoption.RequirementsExperience: A minimum of 4 years in engineering with a proven track record of delivering production AI agents (e.g., web scraping, form filling, research automation).AI Literacy: A profound understanding of current LLMs, frameworks, and techniques, with the ability to assess model trade-offs quickly.Tech Stack: Strong expertise in TypeScript/JavaScript and Python. Familiarity with React, Node.js, and browser automation is a significant advantage.Open Source: You are experienced in open-source development—having contributed to or maintained OSS projects and understanding how to foster community engagement around code.Communication: You possess a passion for teaching and are skilled at writing technical content that inspires and informs others.

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.

Bree serves Canadians who live paycheck to paycheck, focusing on those who need short-term credit solutions. With over 800,000 users, Bree has established a strong presence in the FinTech sector. The company maintains profitability, generates eight-figure annual revenue, and continues to see double-digit monthly growth. Bree has experienced zero voluntary employee turnover. After joining Y Combinator in 2021, Bree raised a $2 million seed round. Role overview The Software Engineer, Infrastructure will work to strengthen the reliability, scalability, and maintainability of Bree's data-driven systems. This position focuses on supporting a growing user base by improving system performance and stability. What you will do Design, build, and maintain infrastructure to support Bree's data systems. Refactor code and improve system architecture to reduce technical debt. Optimize PostgreSQL databases through query tuning, indexing, and capacity planning. Implement Infrastructure as Code using tools such as Pulumi, Terraform, or AWS CloudFormation. Set up monitoring and alerting with tools like Grafana or Datadog. Enhance system observability by improving metrics, logging, and tracing. Requirements Bachelor's degree in Computer Science or a related discipline. Experience building scalable, reliable, and maintainable infrastructure. Strong knowledge of PostgreSQL and hands-on database optimization skills. Familiarity with Infrastructure as Code concepts and tools. Experience with monitoring tools and practices. Location This position is based in Toronto.