Platform Engineer

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.

Join Affinity as a Senior AI Engineer on our AI Platform team, where you will leverage your expertise in artificial intelligence to drive innovative solutions. In this role, you will collaborate with cross-functional teams to design, develop, and implement AI models that enhance our product offerings. You will work in a fast-paced environment, utilizing cutting-edge technologies to solve complex challenges and improve user experiences.

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.

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.

Join our innovative team as a Senior Sales Engineer specializing in Data & AI Security. In this dynamic role, you will leverage your technical expertise and sales acumen to provide cutting-edge solutions to our clients. You will work closely with our sales team to drive growth and enhance customer satisfaction by demonstrating the value of our advanced data protection and AI-driven security technologies.As a key player in our organization, you will engage with clients to understand their needs, deliver tailored presentations, and provide hands-on support during the implementation of our solutions. Your ability to communicate complex technical concepts to non-technical stakeholders will be crucial in helping our clients realize the full potential of our offerings.

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.

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.

At Veeva Systems, we are a purpose-driven organization at the forefront of the industry cloud, empowering life sciences companies to accelerate the delivery of therapies to patients. As one of the fastest-growing SaaS companies in history, we achieved over $2 billion in revenue last fiscal year and have significant growth opportunities on the horizon.Central to our mission are our core values: Do the Right Thing, Customer Success, Employee Success, and Speed. In 2021, we made history by becoming a public benefit corporation (PBC), legally committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere company, we offer the flexibility to work from home or in the office, allowing you to thrive in the environment that suits you best.Join us in transforming the life sciences industry and making a positive impact on our customers, employees, and communities.

Join Warner Music Group, a vibrant global community of music creators, innovators, and passionate professionals. Here, we transform dreams into reality and cultivate fandoms that resonate worldwide. Our operations are anchored by three fundamental values that guide our diverse endeavors: • Curiosity: Our creativity flourishes when we explore culture and push boundaries. Curiosity fuels our innovation, which is essential for our future success.• Collaboration: The essence of music-making lies in originality enhanced by teamwork. Great ideas resonate globally, and we ignite passion and forge connections within our diverse network of artists, songwriters, partners, and fans.• Commitment: We strive for excellence for our team and our talent. Every aspect of music involves venturing into the unknown, and we are dedicated to maintaining integrity and fulfilling our promises.Technology is integral to our business. From onboarding new artists to delivering precise data to platforms like Spotify and YouTube, or empowering artists with cutting-edge AI tools and insightful data, technology is the backbone of our success. Our engineering team at Warner Music Group brings these visions to life.We proudly represent a diverse array of artists, musicians, and songwriters who contribute to our achievements. We are committed to fostering a work environment that values, appreciates, and respects every individual, encouraging applications from candidates with a variety of backgrounds and experiences.Consider a career at WMG, where you can enjoy the dynamism of a global music powerhouse while embodying the creative spirit of an independent entity.Your Role:We are developing the next-generation Data Platform, designed to set benchmarks in freshness, accuracy, comprehensiveness, and usability, to empower Warner Music Group’s operations. We are reengineering this platform from the ground up, encompassing:

Welcome to OktaAt Okta, we are redefining identity management. We empower individuals to securely access any technology, from any device or application, fostering a transformative approach to business security and growth. Our innovative solutions, including the Okta Platform and Auth0 Platform, prioritize identity at the heart of operational success.We value diverse perspectives and experiences, seeking lifelong learners who contribute to our dynamic culture.Join us as we shape a future where identity is truly in your hands.Are you driven to tackle complex data challenges and make a significant impact? Do you want to collaborate with a passionate team of cloud engineers and architects? If yes, we want to hear from you!The Auth0 platform manages over 100 million logins daily for clients worldwide and is rapidly expanding. As part of the Data Platform team, you will be instrumental in developing and managing essential data services that enable scalability, reliability, efficiency, and operational excellence. In your role as Senior Manager, you will collaborate with engineers across departments, guide the platform roadmap, and establish the foundational infrastructure for Auth0's future growth.As a leader, your passion for developing high-performing teams and your ability to coordinate across organizations will make you an ideal fit for this position!Your Responsibilities Include:Leading a diverse, agile software development team focused on delivering value with expertise in distributed systems, cloud infrastructure, and site reliability engineering.Fostering a culture of discovery, learning, and experimentation within a geographically distributed team through continuous coaching and mentoring.Collaborating closely with architects and engineers to design scalable, robust, and extensible services using modern technologies such as Go, Node.js, Kubernetes, Docker, AWS, and Azure.Building and managing data streaming teams utilizing event-driven architecture and Kafka.Partnering with product management and engineering leadership to define a platform roadmap that supports the next generation of identity products, overseeing planning, execution, and delivery of data platform services.Implementing process improvements to drive operational excellence and efficiency during a period of significant growth.

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

Overview: Join Guidepoint as a skilled Data/AI Engineer and become a vital part of our innovative AI team in Toronto. Our Technology Hub is at the forefront of developing a modern data infrastructure that empowers advanced analytics and promotes responsible AI practices. This strategic initiative is crucial to Guidepoint's vision of harnessing cutting-edge Generative AI and analytical capabilities to enhance our Next-Gen research enablement platform and data-driven products. This role requires remarkable leadership and technical expertise to propel the creation of next-generation research enablement platforms and AI-enhanced data solutions. You will be responsible for designing and scaling Generative AI systems, including large language model (LLM) applications and intelligent research agents, while integrating responsible AI principles and top-tier MLOps practices. As a Senior AI/ML Engineer, you will play a key role in building scalable AI/ML functionalities using Databricks and other advanced tools across Guidepoint’s suite of offerings. The Technology team at Guidepoint thrives on solving complex problems and enhancing user experiences. In alignment with our mission to make individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, our engineering team is tackling challenges to refine internal application architectures and develop new AI-enabled products that optimize our service delivery. This is a hybrid position based in Toronto.

Veeva Systems is a mission-driven organization and a trailblazer in industry cloud solutions, dedicated to accelerating the delivery of therapies to patients within the life sciences sector. As one of the fastest-growing SaaS companies in history, we proudly exceeded $2B in revenue last fiscal year, with significant growth opportunities on the horizon.At Veeva, our core values drive everything we do: Do the Right Thing, Customer Success, Employee Success, and Speed. We are not just another public company; we made history in 2021 by becoming a public benefit corporation (PBC), committed to balancing the needs of our customers, employees, society, and investors.As a Work Anywhere organization, we offer the flexibility to work from home or in the office, enabling you to excel in the environment that suits you best.Join us in transforming the life sciences industry, as we strive to make a meaningful impact on our customers, employees, and communities.

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.

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.

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.

Fivetran builds technology that helps organizations turn customer data into actionable insights without heavy engineering or ongoing maintenance. The ETL Platform team plays a key role in supporting the core infrastructure behind Fivetran’s sync engine, making sure data flows smoothly and reliably for customers. Role overview The Senior Software Engineer will join the ETL Platform group, focusing on projects that improve how Fivetran captures, stores, and processes large datasets. Recent work includes a Sync Tracking overhaul, which gives customers better visibility into their data movement and helps maintain accuracy and reliability. What you will do Contribute to the foundational systems that power Fivetran’s sync engine Work on initiatives that enhance the tracking and processing of high-volume data Help manage a scalable fleet of machines that adapts to changing customer needs Support the team’s role as essential infrastructure within the company Work arrangement This is a full-time, hybrid position based in Toronto, Ontario. The schedule blends remote work with in-person collaboration, with two days per week in the office for team activities.

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.

Hello, Future Homie!At Homebase, we invite you to be part of a dynamic team that is innovative, swift, and dedicated to empowering small businesses. Our culture is built on empathy, urgency, and a passion for taking bold actions that create significant impacts. Every member at Homebase, affectionately known as a 'Homie,' is committed to elevating standards, providing support, and celebrating team victories.We're not merely developing an application; we're cultivating unstoppable teams. So, are you ready to join us?Your Impact Begins HereWe're in search of a Data Engineer who will help us revolutionize the way small businesses leverage data. This role is not just about creating data pipelines; it's an exciting chance to construct the backbone of AI-driven, rapid insights that power our innovations at Homebase.You will be responsible for developing and maintaining data pipelines, models, and reporting mechanisms that transform raw data into intelligent products and swift solutions. This position demands both technical prowess and a sense of ownership—you'll guide projects from concept to deployment, ensuring they are scalable, dependable, and yield measurable business results.Your Contributions will Include:Designing, developing, and optimizing data pipelines for processing structured & unstructured data at scale.Building and maintaining data models (fact, dimension, slowly changing dimensions, medallion/layered architecture, marts).Creating reports and dashboards to aid in business performance analysis.Collaborating with product, data science, and analytics teams to enable AI-powered features.Assisting with data architecture transformation & migration on Databricks.Quickly troubleshooting and resolving data quality/performance issues.Optimizing queries and enforcing best practices for reliability and velocity.Driving continuous workflow improvements through automation and experimentation.Leading projects from planning through execution to delivery. Key Strengths for Success: These experiences and strengths will set you up for triumph in this role:5+ years of experience in software/data engineering.Proficient in SQL (including window functions, CTEs, complex joins).Strong understanding of data pipeline architecture and data modeling.Experience with cloud platforms and big data technologies.A proactive approach to problem-solving and a passion for continuous learning.