Platform Engineer at RAVL | Toronto

Join Rootly as Head of Platform EngineeringAt Rootly, we are dedicated to revolutionizing how organizations handle incidents, ensuring reliability and swift resolution in times of crisis. With our cutting-edge incident management platform, we empower companies globally to tackle incidents with speed and efficiency. We're not just transforming an industry; we…

Role overview venn is hiring a Head of Engineering in Toronto. This leader will guide the engineering department, set direction for technology initiatives, and focus on building strong, effective teams. The role involves shaping engineering strategy, improving team performance, and ensuring the delivery of reliable products. What you will do Define and execute engineering strategy in line with company goals Oversee the full development lifecycle, from initial concept to deployment Work closely with teams across the company to align technology with business needs Support and develop engineering talent to raise performance and collaboration

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.

Role Overview Guidepoint is looking for a Senior Platform Engineer to strengthen infrastructure reliability and improve the developer experience. This hybrid role is based in Toronto, Ontario. What You Will Do Enhance the scalability and reliability of a Kubernetes-based cloud environment. Lead the shift toward a self-service platform model for internal teams. Apply software engineering principles to infrastructure challenges. Use Agentic AI to automate complex workflows and develop "Golden Paths" that reduce manual steps. Design and build software to manage and monitor Kubernetes clusters, focusing on resilience, cost-efficiency, and self-healing systems. Location and Work Model This is a hybrid position based out of Guidepoint's 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

About Rootly At Rootly, we are dedicated to revolutionizing the way organizations manage incidents, ensuring that every company can operate with greater reliability. We achieve this by developing a state-of-the-art incident management platform that enables organizations globally to swiftly and effectively address incidents. Our mission goes beyond mere industry transformation; we are forging a brand-new multi-billion dollar segment and require exceptional talent to help us realize this ambitious vision. Rootly has garnered the trust of customers worldwide, including some of the fastest growing companies like NVIDIA, Figma, Canva, Tripadvisor, and Squarespace, who depend on our platform to streamline their critical incident management procedures. Our commitment to delivering a delightful enterprise-ready platform and a distinctive partnership model has resulted in glowing reviews—discover why we’ve earned 5 stars on G2. Our investors share our excitement. Rootly is backed by esteemed funds, including Y Combinator and leaders like the CTOs of Dropbox and GitHub. We are transparent about our financial health and progress, sharing insights during interviews and hosting monthly financial reviews for our team to stay informed about our business's status. Our ongoing developments are documented in our weekly changelog. About the Role This is a unique opportunity to join Rootly as an early engineer and significantly influence our growth journey. You will work on the infrastructure that supports incident response and on-call functions for some of the most innovative teams globally. This role transcends traditional operations; we seek software engineers passionate about infrastructure, developer experience, systems thinking, and dedicated to creating tools that enhance the reliability, performance, and scalability of our engineering organization. At Rootly, we prioritize speed, quality, and impact. Our engineers are encouraged to take initiative and produce high-leverage results—whether by automating processes to eliminate toil, enhancing our observability stack, or bolstering the resilience of our services. You will collaborate closely with product engineers and customers to ensure we remain proactive. If you excel in environments where accountability is paramount, excellence is expected, and reliability is essential, this is the ideal place for you. What You’ll Do Collaborate with product teams to improve the observability, reliability, and performance of their services. Manage our CI/CD pipelines, observability tools, monitoring systems, and incident response processes.

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....

Join Movable Ink as a Senior Engineer on our Data Platform team, where you will be instrumental in architecting and developing the systems that facilitate data flow across our organization. In this pivotal role, you will contribute to the creation and maintenance of a unified data platform that is responsible for ingesting, processing, and serving substantial volumes of data that underpin our innovative products. Collaborating with cross-functional teams in engineering, analytics, and infrastructure, you will design scalable data ingestion pipelines and backend services that seamlessly integrate data from diverse sources while ensuring reliability, governance, and high availability. Your expertise will guide the modernization of legacy data pipelines towards contemporary architectures, enhancing the cohesion of our products and services in their data access. Your contributions will significantly influence the evolution and enhancement of Movable Ink’s offerings.Key Responsibilities:Contribute to the design and implementation of robust data ingestion pipelines and infrastructure.Facilitate the migration of legacy data management processes to a new platform, ensuring minimal disruption for current data consumers.Establish and monitor SLIs and SLOs for the new data platform, utilizing dashboards and alert alerts to ensure optimal performance.Create a versatile data storage layer that accommodates various use cases, including transactional, analytical, and machine learning workloads.Develop comprehensive monitoring and incident response protocols for all data pipelines and services.Partner with product engineering, analytics, and machine learning teams to define data access strategies.

At RAVL, a premier technology advisory and engineering firm, we specialize in empowering the financial services sector by delivering innovative solutions that drive measurable ROI from technology investments. As we expand our engineering team, we are in search of talented AI Platform Engineers dedicated to developing cutting-edge AI systems for our diverse clientele. This exciting role encompasses the creation of generative AI platforms, the facilitation of agent-based architectures, and the design of scalable orchestration and integration layers tailored for enterprise-level AI. The position involves both current projects and future hiring plans, focusing on the development of secure, scalable, and production-ready AI platforms.

Join us at fiq as a Principal Engineer - New Initiatives, where you'll play a pivotal role in shaping our foundational platform. As a founding engineer, you will work on cutting-edge projects, collaborate with cross-functional teams, and drive innovative solutions that will set the stage for our company’s growth. This is an exciting opportunity to leverage your expertise in software engineering and architecture to create robust systems that support our vision.

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.

RAVL is a specialized technology advisory and engineering firm dedicated to enhancing the financial services sector. Our mission is to empower clients to achieve significant returns on their technology investments through innovative solutions.We are expanding our engineering team and are seeking talented AI Platform Engineers to create cutting-edge AI systems for our clients. This role involves the development of Generative AI platforms, enabling agent-based architectures, and designing robust orchestration and integration layers tailored for enterprise AI applications.The positions will cover both current projects and future hiring needs, emphasizing the creation of secure, scalable, and production-ready AI platforms.

Join Spotify as an Engineering Manager II leading our Analytics Platform team. In this pivotal role, you will spearhead the development of advanced analytics solutions that drive strategic decision-making and enhance user experiences. Collaborate with cross-functional teams to deliver innovative products that leverage data insights.

Join the User Platform (UP) team at Spotify, a key component of our SAFE Alliance, dedicated to enhancing the user experience through innovative Customer Identity and Access Management (CIAM). Our mission is simple yet profound: to create seamless connections between Spotify and our 700 million users worldwide.The User Platform is designed to provide a secure environment where users can manage their identity and account information across multiple interfaces. By doing so, we empower internal teams to deliver personalized user experiences that cater to individual preferences.As a member of the Lockness team, you will play a crucial role in shaping business authorization processes at Spotify. We are a full-stack team responsible for developing foundational IAM capabilities that ensure security while enabling rapid innovation. As a Backend Engineer, you will contribute to building, maintaining, and scaling our next-generation Business IAM, expanding our authorization platform's functionality and reach.

Join our dynamic team at Harvey as a Software Engineer, where you will play a pivotal role in shaping our cutting-edge AI platform. This is an exciting opportunity to work with innovative technologies and contribute to projects that push the boundaries of artificial intelligence.As a Software Engineer, you will collaborate with cross-functional teams to design, develop, and implement software solutions that enhance our AI capabilities. Your work will directly impact the efficiency and effectiveness of our platform, helping to drive our mission forward.

Speechify seeks a Software Engineer in Toronto to focus on platform development. This position plays a key part in strengthening and expanding Speechify’s text-to-speech technology, supporting people who use the platform to access information in new ways. Role overview This role involves designing and building scalable solutions with the engineering team. The work directly shapes the evolution of Speechify’s core text-to-speech features and influences how users interact with the technology. What you will do Collaborate with engineers to create scalable platform components Contribute to improvements and new features for text-to-speech capabilities Play a part in defining user experience and accessibility through technology Requirements Background in software engineering, especially in platform or backend development Interest in building accessible products Strong collaboration skills and openness to teamwork Speechify welcomes those who find meaning in building technology that helps people learn and connect.

About MagicalMagical is an innovative automation platform that integrates cutting-edge AI technology into the healthcare sector, providing AI agents capable of functioning effectively in real-world settings.Our mission is to create 'AI employees' that streamline tedious and time-consuming processes, specifically in healthcare—a massive $4 trillion industry laden with administrative burdens. We focus on automating critical tasks such as claims processing, prior authorizations, and eligibility checks, allowing healthcare professionals to dedicate more time to patient care.Our AchievementsAs pioneers in the transition to agentic automation in healthcare, we have achieved significant traction:Dramatic revenue growth with clients expanding into new workflows ahead of contract renewals.Rapid proof-of-concepts completed in just 7 days, delivering tangible value in an industry where similar timelines typically span months.Self-repairing automations with production-level reliability at scale, outperforming competitors who struggle to launch functional solutions.Unlike many AI firms that make grand promises, we provide dependable solutions that yield measurable outcomes. Our backing includes notable investors such as Greylock, Coatue, and Lightspeed, with a total funding of $41M. Our founder, Harpaul Sambhi, is a seasoned entrepreneur who previously sold his first company to LinkedIn.Role OverviewIn your role as a Senior Backend Engineer on the Agent Platform team, you will develop the core systems that drive our AI agents—covering aspects from orchestration and state management to model integration and evaluation pipelines. This position is centered around platform engineering, focusing on building the infrastructure that empowers our team to deliver reliable, production-grade agentic automation.You will work at the forefront of multi-agent systems, designing collaborative strategies for agents to tackle complex healthcare workflows. You will take ownership of essential backend services, overseeing them from architecture to deployment while developing verification systems that ensure our agents perform accurately every time.This hybrid position requires you to be onsite in our Toronto office two days each week.

Join shyftlabs as a Sales Engineer specializing in AI and Data Platforms. In this role, you will leverage your technical expertise to support the sales team in delivering innovative solutions to our clients. You will work closely with customers to understand their needs and demonstrate how our products can drive their success. Your ability to communicate complex technical concepts in an understandable way will be key to your success.

Greetings, Future Homie!Join us at Homebase, where we are passionate about empowering small businesses to flourish. Our dynamic team is driven by empathy, urgency, and a bold approach that leads to meaningful outcomes. At Homebase, every team member contributes to elevating our standards, supporting each other, and celebrating our collective successes.We are not merely developing an application; we are fostering unstoppable teams. Are you ready to join us?Your Impact Begins HereAs a Platform Engineer, you will play a key role in designing and implementing components for our data and ML platforms. Your contributions will empower data engineering, data science, and product teams to create features driven by data and machine learning, ensuring that our systems are scalable, reliable, and seamlessly integrated.Architect, develop, and enhance the ingestion processes for large volumes of both structured and unstructured data from a variety of sources.Facilitate data architecture transformation initiatives on Databricks, promoting scalable and efficient systems.Lead the design and implementation of platform components for training, deploying, and monitoring machine learning models in production environments.Provide insights into industry best practices, tools, and technologies in the field of machine learning engineering.Champion continuous enhancements of data and ML workflows through automation and innovative solutions.Own projects end-to-end, ensuring successful delivery from planning to execution.Collaborate with cross-functional teams to gather business requirements and develop effective technical solutions. Key to Your Success - These experiences and strengths will position you for success:Over 5 years of experience in software development, with a focus on data and machine learning.Proficient in SQL, Python, and Databricks.Experience with Airflow, Kafka, and Redshift.Strong skills in data modeling and database design.Expertise in building and deploying machine learning models, including language models.Experience in creating model serving pipelines for batch, streaming, and real-time inference.Demonstrated ability to work collaboratively in a fast-paced environment.