Software Engineer - Machine Learning Data Infrastructure

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.

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.

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.

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.

Role overview Veeva Systems is hiring a Senior Software Engineer focused on infrastructure in Toronto, Canada. This role centers on designing and building software that supports and improves our cloud-based platforms. The work directly impacts scalability and performance across our systems. What you will do Design and implement software solutions for infrastructure needs Work closely with teams from different disciplines to strengthen our cloud platforms Contribute to projects that improve system scalability and performance

As the Manager of Data Infrastructure at mqreferrals, you will be pivotal in shaping our data engineering landscape, directly reporting to the Director of Data Engineering. In this dynamic leadership role, you will oversee a dedicated team of 5-6 engineers tasked with managing critical data platforms that underpin our AI and analytics initiatives. This hands-on position blends technical expertise with effective people management, where you will mentor your team, facilitate agile delivery processes, and integrate product-oriented thinking into our infrastructure approach. Your leadership will be crucial in executing our data strategy and ensuring the operational excellence of platforms that handle billions of transactions each month.We embrace a Flexible First work culture, allowing this role to be performed remotely from anywhere in Ontario and British Columbia, Canada, with quarterly travel to the United States required. Join us on this exciting journey!

Join Tenstorrent as an Infrastructure Automation Engineer and be a key player in revolutionizing the way we manage and automate infrastructure. In this role, you will design, implement, and maintain automation solutions that drive efficiencies across our systems and enhance our operational capabilities.

Role Overview Veeva Systems Inc. is looking for a Senior Software Engineer focused on Infrastructure in Toronto, Canada. This role centers on designing, building, and improving infrastructure that supports our software products. What You Will Do Create and refine infrastructure solutions to support application development and deployment Work with teams across engineering, operations, and product to strengthen system reliability and performance Address scalability and security needs as our technology evolves Impact Your work will help shape Veeva’s technology foundation and support the growth of our software applications.

Join Waabi as a Software Engineer focused on Evaluation Infrastructure, where you will play a pivotal role in advancing our cutting-edge autonomous technology. You will work collaboratively with cross-functional teams to design, implement, and optimize our evaluation systems, ensuring robust performance and reliability.Your contributions will help shape the future of transportation technology, making it safer and more efficient.

Lyft is looking for a Software Engineer focused on Advertising Infrastructure to help build and improve the systems behind its advertising platform. This position is based in Toronto, Canada. Role overview This role centers on designing, developing, and scaling advertising systems. The work aims to keep these systems efficient and reliable as Lyft’s advertising needs grow. Collaboration Work closely with teams from different disciplines to deliver solutions that strengthen Lyft’s advertising technology and support business objectives. Impact Your contributions will help expand Lyft’s advertising capabilities and support the company’s growth in this area.

As the Manager of Data Infrastructure, you will report directly to the Director of Data Engineering and spearhead a team of 5-6 engineers responsible for operating essential data platforms that fuel our AI and analytics initiatives. This newly established, hands-on leadership position blends technical expertise with personnel management, requiring you to mentor your team, promote agile methodologies, and incorporate product-focused thinking into infrastructure management. You will implement our data strategy while ensuring operational excellence across platforms that handle billions of transactions monthly. We embrace a Flexible First work model, allowing this role to be performed remotely within the provinces of Ontario and British Columbia. Quarterly travel to the United States will be necessary. We are excited for you to potentially join our team!

Join Cohere as a Senior Software Engineer, specializing in Agent Infrastructure. In this role, you will lead the design and implementation of robust software solutions that enhance our agent infrastructure capabilities. Collaborate with cross-functional teams to drive innovation and optimize our systems for performance and scalability.

Elevate Your Career with Loopio! At Loopio, we are searching for a visionary Senior Engineering Leader to spearhead our Site Reliability Engineering (SRE), Infrastructure, and MLOps teams. In this pivotal role, you will architect the foundation of reliability, scalability, and cost efficiency for our platform's systems.You will guide teams responsible for designing, building, and operating our production infrastructure, ensuring our services remain resilient, observable, and primed for expansion as we incorporate cutting-edge AI and automated workflows. Collaborating closely with Product Engineering, Security, and Data teams, you will facilitate rapid, secure delivery while upholding operational excellence.Note: This position is an existing vacancy within our team. Key ResponsibilitiesLeadership & Team DevelopmentLead and nurture multiple teams across SRE, Cloud Infrastructure, and MLOps.Mentor engineering managers and senior contributors, cultivating a culture of ownership and high standards.Foster a 'Platform-as-a-Product' mindset, ensuring infrastructure and ML tools empower the wider engineering organization.Collaborate with Recruiting to attract and retain top-tier talent in the areas of cloud, reliability, and machine learning infrastructure.Reliability & Operational ExcellenceOversee the operational health of production systems, focusing on availability, latency, and durability.Define and refine SLIs, SLOs, and error budgets to promote data-driven reliability decisions.Lead incident response efforts, championing blameless postmortems and systemic improvements to minimize

Canonical, a trailblazer in open source software and operating systems, is seeking a talented Data Center Infrastructure Engineer to join our vibrant team in Toronto. As a key player in our mission, you will be responsible for overseeing our MAAS test labs and ensuring the seamless operation of our data center that supports Ubuntu server certification for leading US-based silicon and server designs. Your role will involve deploying and configuring servers and network switches, maintaining an organized inventory of hardware, and handling the onboarding of new equipment. With a focus on software-driven operations, you will utilize your Python development skills to enhance our data center's efficiency. If you're passionate about data center technology and enjoy hands-on problem-solving, this is an exciting opportunity to contribute to cutting-edge initiatives in cloud computing and infrastructure management.

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.

Protecting Every Identity, from AI to HumanAt Okta, we believe that identity is the cornerstone for harnessing the potential of AI technology. We are dedicated to securing AI by creating a reliable, neutral infrastructure that empowers organizations to confidently navigate this exciting new landscape. This mission demands a relentless commitment to tackling intricate challenges with significant real-world implications. We are searching for innovators and leaders who thrive in a fast-paced environment and deliver results with precision.As a Senior Security Infrastructure Engineer on our Red Team, you will play a pivotal role within the Product Security team, providing critical security assurance for Okta's products, services, and infrastructure. You will be the first dedicated infrastructure and tooling engineer for a small team of operators, working collaboratively alongside them as a peer in a distinct discipline.In this role, you will take ownership of the engineering backbone that supports our operations, focusing on infrastructure, tooling, and automation within the Red Team. Your responsibilities will include designing, building, maintaining, and continuously enhancing the platforms and tools that our operators rely on for executing their engagements.Your contributions will directly enable the team to operate at a higher maturity level, characterized by rapid infrastructure deployment, resilient OPSEC-aware architectures, automated workflows, and dependable custom tools, allowing operators to concentrate on their core mission. Furthermore, you will foster collaboration with stakeholders and elevate the company's security posture through strategic initiatives and proactive measures. As the team grows, this role has the potential to evolve into platform leadership or a hybrid operator/engineer pathway.

Join Mistplay, the leading loyalty app for mobile gamers, as a Senior Machine Learning Platform / Infrastructure Engineer II. At Mistplay, our vibrant community of millions of mobile gamers engages with our platform to discover new games and earn valuable rewards. Players are compensated for their time and investment in gaming, redeeming these rewards for gift cards. Our mission is to enhance the mobile gaming experience for everyone, everywhere! Download Mistplay on the Google Play Store here and connect with us on Instagram, Twitter and Facebook.Important Note: In Canada , Mistplay operates under a hybrid model, requiring 2 days per week in-office presence in Toronto (400 University Ave) & Montreal (1001 Blvd. Robert-Bourassa).

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.