DevOps Engineer at Veeva | Toronto, Canada

Join Our Innovative TeamAdaptive ML is at the forefront of AI technology, crafting a state-of-the-art Reinforcement Learning Operations (RLOps) platform. Our mission is to empower enterprises to specialize and deploy large language models (LLMs) in production to achieve significant outcomes.We are the backbone for tuning, evaluating, and serving specialized models at scale, revolutionizing task-specific LLM development. Our infrastructure supports production-ready workflows that handle millions of requests efficiently while optimizing for performance and cost across distributed systems.Our cohesive team has previously contributed to the development of leading open-access large language models. Having secured a $20M seed funding from Index Ventures and ICONIQ in early 2024, we are already operational, serving clients such as Manulife, AT&T, and Deloitte in the travel and financial sectors, with more partnerships on the horizon.The Product Staff at Adaptive ML is dedicated to translating our advanced technology into exceptional products that address the challenges faced by companies in their generative AI deployments. We are committed to creating a high-quality, user-friendly, and resilient experience for our clients.Your RoleAs a DevOps Engineer within our Product Staff, you will play a crucial role in packaging our technology into exceptional products that enhance generative AI experiences through deeper personalization via reinforcement learning. It is essential that our technology remains transparent, addressing the real challenges faced by companies without imposing additional complexities.Your responsibilities will encompass all DevOps aspects, from systematic deployment to scaling production databases and supporting internal workloads. Expect to tackle challenges like coordinating complex GPU infrastructure and managing the storage of user interactions, which can reach trillions of records, all while ensuring robustness.We seek passionate individuals who are self-motivated and eager to contribute to a highly technical product that emphasizes robustness, accessibility, and responsiveness. Being an early member of our team means you'll have the opportunity to significantly influence our product as we expand.This position is ideally in-person at our offices in New York or Toronto, but we are also open to fully remote candidates.

About Our TeamAdaptive ML is an innovative AI startup specializing in the development of a Reinforcement Learning Operations (RLOps) platform designed to empower enterprises to tailor large language models for their specific needs, ensuring reliable deployment into production workflows with quantifiable results.Our Success team plays a pivotal role within our Technical Staff. While the Technical Staff focuses on developing the core technology that drives Adaptive ML, the Success team is dedicated to helping our enterprise clients maximize the value of these technologies, particularly through our Adaptive Engine product. Adaptive Engine enables businesses to construct, evaluate, and deploy the most effective models tailored to their unique requirements. Our founding team has previously collaborated on creating state-of-the-art open large language models. Following a successful $20M seed funding round led by Index Ventures and ICONIQ in early 2024, we are actively working with our first enterprise customers, including Manulife, AT&T, Deloitte, and more to be announced soon.About the RoleAs an AI Engineer (Pre-Sales) at Adaptive ML, you will serve as the technical liaison for our sales team, assisting potential clients in understanding how the Adaptive Engine can address their most challenging issues. Your role will involve crafting and presenting impactful demonstrations, guiding customers through proof of concepts, and creating technical proposals that underscore the unique advantages of our platform and reinforcement learning capabilities.This role is distinctly technical, offering you the chance to engage hands-on with the Adaptive Engine—developing demos, fine-tuning large language models, and initiating pilots that transition prospects into clients. Additionally, you will contribute to shaping the product roadmap by identifying and articulating customer needs and insights.Please note: This is an in-person position based in our Toronto or New York offices.Your ResponsibilitiesCollaborate with the sales team to engage prospects, identifying business challenges and aligning them with Adaptive ML solutions.Design and present engaging technical demonstrations tailored to the specific use cases of customers.Lead and oversee proof-of-concept (POC) initiatives and pilots, ensuring technical success and achieving clear business objectives.Create prototype pipelines and fine-tuned large language models using the Adaptive Engine to illustrate production-ready solutions.

Join Our TeamAt Adaptive ML, we are at the forefront of developing a reinforcement learning platform that fine-tunes, evaluates, and serves specialized language models. Our mission is to lead the way in creating task-specific LLMs through synthetic data, establishing the essential tools and products that allow models to self-assess and evolve based on straightforward guidelines. Our Adaptive Engine empowers businesses to forge and deploy the most effective LLMs tailored to their unique needs. With our founders’ expertise in crafting state-of-the-art open LLMs, we proudly secured a $20M seed investment from Index & ICONIQ in early 2024 and are currently engaged with our first enterprise clients, including AT&T and Manulife.Your RoleAs a Business Development Representative (BDR) at Adaptive ML, you will be instrumental in propelling our company’s growth by connecting with potential customers. Acting as the initial point of contact for a diverse range of leads, from innovative startups to major global enterprises, your mission will be to ignite interest, uncover challenges, and lay the groundwork for fruitful partnerships.You will collaborate closely with our Commercial Team to convey the value of Adaptive Engine and demonstrate how our innovative reinforcement learning technology can enhance generative AI adoption and drive tangible business outcomes. Your efforts will be crucial in guiding prospects from initial interest to pilot discussions and beyond.We seek motivated, inquisitive, and resourceful individuals who thrive on the challenge of introducing complex technical products to new markets. As an early member of our go-to-market team, you will have the chance to influence our sales strategy and play a key role in our company’s expansion. This position is based in-person at our offices in Toronto or New York.Key ResponsibilitiesLead top-of-funnel outreach to cultivate new qualified leads through cold emails, phone calls, and LinkedIn interactions;Conduct research to identify ideal customer profiles (ICPs) and target accounts across strategic sectors;Work closely with founders and GTM leadership to enhance messaging, outreach tactics, and campaign effectiveness;Utilize tools, automation, and processes to scale and optimize outbound lead generation;Monitor outreach metrics and provide insights to refine strategy and iterate on successful approaches;

We are seeking a dynamic and results-driven Revenue Operations Manager to join our team at adaptive-ml. This pivotal role will be responsible for optimizing our revenue processes, enhancing operational efficiency, and driving strategic initiatives that align with our business objectives. You will work closely with sales, marketing, and customer success teams to ensure seamless revenue generation and customer satisfaction.

About the Role Adaptive ML is hiring a Partnerships Manager based in Toronto or New York. This role focuses on building and maintaining strategic partnerships that support company growth and expand our presence in the market. What You Will Do Identify and evaluate new partnership opportunities that align with business goals Develop partnership proposals and present them to potential collaborators Negotiate agreements and manage ongoing partner relationships Work closely with teams across the company to ensure partnerships deliver value Who We’re Looking For Experience managing partnerships or business development in a related field Strong relationship-building and negotiation skills Comfort working with cross-functional teams Proven ability to drive results through collaboration If building strong business relationships motivates you and you have a track record in partnership management, consider joining Adaptive ML.

About the TeamAdaptive ML is an innovative AI startup focused on developing a cutting-edge Reinforcement Learning Operations (RLOps) platform that empowers enterprises to customize and implement large language models (LLMs) in production, yielding measurable results.We deliver essential infrastructure that facilitates the tuning, evaluation, and deployment of specialized models at scale — leading the way in task-specific LLM development and managing production-ready workflows capable of handling millions of requests while optimizing for cost and performance across distributed systems.Our close-knit team has previously contributed to the development of state-of-the-art open-access large language models. In early 2024, we secured a $20M seed round led by Index Ventures and ICONIQ, and we are already operational with clients including Manulife, AT&T, and Deloitte, spanning across travel and financial services — with more partnerships to be announced soon.At Adaptive ML, our Success Team is an integral part of our Technical Staff. The Technical Staff is responsible for developing the foundational technology that drives Adaptive ML, while the Success Team ensures our enterprise clients fully utilize these technologies — particularly through our Adaptive Engine product — to extract maximum value.About the RoleAs a Forward Deployed AI Engineer at Adaptive ML, you will assist our customers in creating scalable production applications utilizing the Adaptive Engine. Our clientele ranges from dynamic scale-ups to established global enterprises, and your mission will be to guide them in maximizing business value while expediting the production timeline. We emphasize bridging the gap from proof-of-concept to production, as numerous generative AI initiatives fall short in delivering clear ROI.By harnessing advanced reinforcement learning technologies, you will aid in the customization of large language models for production readiness. Your responsibilities will include constructing synthetic data pipelines to launch models into production and identifying useful signals for ongoing model refinement utilizing real-world feedback. We seek self-motivated, business-savvy, and driven individuals eager to support the deployment of a highly technical product. As this is an early-stage role, you will have the opportunity to influence our research initiatives and product development as we expand.This is an in-person role located at our Toronto or New York office.

Miratech seeks a DevOps Engineer based in Toronto to help strengthen technology operations and make software delivery more efficient. The position centers on close collaboration with both development and operations teams. Key responsibilities Partner with developers and operations staff to ensure smooth application integration and deployment Refine and streamline processes to improve the speed and reliability of software delivery Contribute to technology initiatives throughout the organization Role overview This role involves working across teams to support ongoing technology projects and optimize the way software moves from development to production. Success in this position relies on strong communication and a collaborative approach to problem-solving.

About Our TeamAt Adaptive ML, we are revolutionizing the way businesses utilize language models through our state-of-the-art reinforcement learning platform. Our mission is to develop task-specific large language models (LLMs) that can self-evaluate and improve using synthetic data. With our innovative Adaptive Engine, companies can seamlessly create and deploy tailored LLMs that fit their unique requirements. Backed by a successful $20M seed round from Index and ICONIQ in early 2024, we are already collaborating with leading enterprises like AT&T to transform their operations.About the RoleAs an Enterprise Account Executive at Adaptive ML, you will be pivotal in expanding our market presence and empowering enterprise clients to harness the capabilities of our reinforcement learning technology. You will manage the entire sales process, from initial outreach to contract negotiations, ensuring that our solutions are integrated effectively within large organizations.Your role will involve close collaboration with our Research, Product, and Technical teams to craft pilot projects, navigate complex purchasing decisions, and clearly communicate the business advantages of our technology. Engaging with senior leaders in AI, data, and engineering will be a regular part of your role, making technical proficiency and strong business acumen essential to your success.We seek proactive individuals who excel in uncertain environments and are motivated by the challenge of introducing innovative products to the market. As one of our inaugural AEs, you will significantly influence our go-to-market strategy and contribute to our long-term revenue objectives.This role requires in-person attendance at our Toronto or New York office.

Veeva Systems is a forward-thinking, mission-driven enterprise that leads the way in industry cloud solutions, empowering life sciences organizations to expedite the delivery of therapies to patients. As one of the fastest-growing SaaS companies in history, we achieved over $2 billion in revenue in our last fiscal year, with significant growth opportunities on the horizon.At Veeva, we embody our core values: Doing the Right Thing, Customer Success, Employee Success, and Agility. We are proud to have made history in 2021 by becoming a public benefit corporation (PBC), committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere company, we offer flexibility to work from home or in the office, allowing you to thrive in your preferred environment.Join us in transforming the life sciences industry, dedicated to making a lasting positive impact on our customers, employees, and communities.The RoleWe are seeking a talented DevOps Engineer to establish a robust, scalable infrastructure that will enable Veeva to swiftly and efficiently meet the demands of our multi-billion dollar customer base. Your primary focus will be on ensuring timely and high-quality delivery of Veeva's products to our customers. If you are a proactive individual who thrives on working with cutting-edge technologies to drive innovation, we invite you to join our dynamic team.

At ZoomInfo, we are passionate about accelerating careers. Our fast-paced environment fosters bold thinking and empowers you to achieve your best work. Join a team that values collaboration, challenges the status quo, and celebrates every success. With cutting-edge tools that enhance your impact and a culture that supports your ambitions, you won't just contribute; you'll drive change swiftly.Job Summary:We are on the lookout for a talented and driven Senior DevOps Engineer to play a crucial role in supporting our engineering teams. This position will focus on implementing changes and ensuring compliance with our company's standards for data infrastructure and CI/CD pipelines. The ideal candidate will possess extensive experience with AWS and/or GCP, cloud data streaming and processing services, containerized application deployments, infrastructure automation, and Site Reliability Engineering (SRE) best practices aimed at enhancing performance and cost efficiency.Key Responsibilities:Lead initiatives to apply and promote best practices for data streaming, processing, analytics, and infrastructure monitoring.Deploy and manage services on Kubernetes platforms such as Amazon EKS and Google Kubernetes Engine (GKE).Provision and oversee cloud infrastructure with Terraform, adhering to best security, scalability, and cost-efficiency practices.Optimize CI/CD pipelines with tools like Jenkins, ArgoCD, and GitHub Actions for streamlined automated deployments and testing.Engage with cloud-native data services including AWS Kinesis, AWS Glue, Google Dataflow, Google Pub/Sub, BigQuery, and BigTable.Possess familiarity with workflow orchestration services such as Apache Airflow and Google Cloud Composer.Create and maintain automation scripts and tools using Python to enhance DevOps processes.Monitor system performance, troubleshoot issues, and implement proactive solutions for reliability and efficiency.Apply SRE practices to boost service reliability, scalability, and cost-effectiveness.Analyze and optimize cloud expenditure, identifying opportunities for improvement and executing cost-saving strategies.Ensure compliance with security policies and best practices within cloud environments.Encourage the adoption of company standards and guide data teams towards best practices in DevOps and SRE.Collaborate with cross-functional teams to refine development workflows and infrastructure.

At ZoomInfo, we’re committed to accelerating your career. Our environment is dynamic and fast-paced, fostering bold thinking and empowering you to produce exceptional work. You'll collaborate with passionate teammates who support each other, challenge norms, and celebrate achievements. Equipped with cutting-edge tools and a culture that nurtures ambition, you'll not just contribute; you'll drive impactful change.We are currently on the lookout for a Senior DevOps Engineer who possesses a software-first mindset to join our talented Platform Engineering team. We seek an engineer who perceives infrastructure as a software product rather than just managing tools.This position requires a proactive individual with a comprehensive view—someone who takes initiative, considers the broader implications of their work, and leads complex projects from concept through to production. You will be part of a collaborative global team where effective communication is essential to paving the way for our developers across multiple cloud environments.Key Responsibilities:Platform Development: Design and implement robust, scalable CI/CD platforms utilizing GitHub Actions, creating custom actions and reusable workflows that function seamlessly as an internal product.Software Automation: Build internal tools and CLI utilities in Go or JavaScript to automate intricate SDLC tasks and minimize manual processes.Kubernetes Maintenance: Serve as a maintainer for our Kubernetes ecosystem, ensuring the platform is optimized for developer workloads, scalability, and high availability.End-to-End Ownership: Oversee projects from architectural design through implementation and long-term maintenance, proactively identifying system-wide bottlenecks before they manifest as issues.Declarative Infrastructure: Spearhead the establishment of GitOps workflows utilizing ArgoCD, treating application state and infrastructure as version-controlled code.Cloud Orchestration: Provision and manage complex GCP and AWS environments following software-defined infrastructure principles.Global Collaboration: Collaborate closely with distributed teams of Architects and Engineers, ensuring transparent communication and alignment across varying time zones.

About MagicalAt Magical, we are at the forefront of innovation, harnessing the power of our agentic AI platform to revolutionize the workplace. Our mission is to seamlessly integrate 'AI employees' into daily operations, alleviating the burden of repetitive and mundane tasks. This shift allows organizations to operate more efficiently, enhancing focus and improving critical outcomes, such as patient care.As pioneers in this transformative movement, we invite you to join our dynamic team. As a founding member, you will play a pivotal role in defining the future of work, collaborating with a dedicated group that is pushing the boundaries of what AI can achieve.With esteemed investors backing us, including the minds behind OpenAI and Notion, our aspirations are ambitious, and the market potential is vast.The RoleAs a Deployment Strategist, you will take charge of ensuring the success of our most significant and strategic clients after the sale. You will connect customer business objectives with Magical’s agentic AI solutions, working closely with Deployment Engineers to implement impactful strategies and drive growth.Your responsibilities will include:Leading comprehensive implementations for a curated portfolio of customers, overseeing projects from initial planning through to successful go-live and scaling.Serving as the engagement manager: coordinating project timelines, aligning stakeholders, managing risks and dependencies, and ensuring the seamless flow of work across all parties involved.Translating business objectives into actionable deployment plans, defining use cases, success metrics, milestones, and execution roadmaps in partnership with our Deployment Engineers.Conducting regular customer touchpoints (weekly/bi-weekly standups, stakeholder meetings, executive updates) to maintain project momentum and address decisions proactively.Executing structured business reviews (QBRs/MBRs) that effectively communicate ROI, demonstrate operational impact, and facilitate natural expansion pathways.Acting as a trusted advisor on workflow redesign and change management, particularly in healthcare revenue cycles and operations-heavy settings.Collaborating with the go-to-market team to identify new workflows, sites, and departments for automation; shaping well-structured proposals and rollout plans to ensure frictionless expansion.Advocating for the voice of the customer within the organization, providing structured insights to Product, Engineering, and Sales teams to influence future roadmaps and playbooks.

ZoomInfo Technologies LLC is hiring a Senior DevOps Engineer in Toronto, Ontario. This position centers on strengthening infrastructure and refining deployment processes to help the organization scale effectively. Collaboration is a key part of this role, as the Senior DevOps Engineer will partner with teams from engineering, product, and operations to design systems that can support ongoing business growth. Key responsibilities Maintain and improve infrastructure to enable reliable deployments Work with cross-functional teams to develop scalable solutions Implement automation to streamline workflows and boost efficiency Use cloud technologies to optimize system performance Location This role is based in Toronto, Ontario, Canada.

Braze seeks a Data Scientist specializing in AI Deployment for its Toronto office. This position involves applying advanced data analysis and machine learning techniques to enhance Braze’s products and services. What you will do Work closely with teams across the company to design and implement AI-driven solutions. Build and deploy strategies that use machine learning to improve product features and performance. Apply data analysis methods to identify opportunities for product and service enhancements. Collaboration This role relies on regular collaboration with colleagues from multiple departments to ensure AI initiatives align with business goals and customer needs.

About Mecka AIAt Mecka AI, we are pioneering the data infrastructure for robotics and embodied AI. Our innovative approach involves designing, deploying, and managing real-world robotic systems that generate high-quality datasets essential for training and evaluating the next generation of robotic models and embodied AI technologies. Our robots excel in unstructured, real-world environments, where reliability and execution are paramount compared to conventional simulations.The RoleWe seek a dedicated Roboticist who is passionate about execution and deployment. This is a hands-on role focused on practical applications rather than theoretical research. You will be responsible for deploying high-level models, perception pipelines, and navigation policies onto physical robots, effectively bridging the gap between simulation and reality. Your mission is to ensure that robots can autonomously navigate, manipulate, and gather data in real-world settings.Your work will involve debugging both in the lab and on-site, diagnosing failures, and creating systems that continue to function seamlessly even under challenging conditions.What You’ll Work OnSystem IntegrationIntegrate Vision-Language-Action (VLA) models, perception pipelines, and control policies into a cohesive robotic stack.Develop the necessary code to translate model inferences into physical motor actions.Ensure that models operate reliably and predictably on real hardware.Navigation & ControlImplement, tune, and maintain:SLAMLocalizationPath planningObstacle avoidanceGuarantee smooth and intelligent robotic motion in dynamic human environments.Field Reliability & AutonomyDevelop robust, self-healing systems.Create automated calibration routines, watchdogs, and error-handling logic.Empower robots to recover from typical failures without human assistance.Real-World Debugging & DeploymentConduct debugging in both lab and real-world deployment settings.Diagnose issues such as:Failed docking or navigationSensor drift or misalignment

Artificial Intelligence. Real Impact.At Docebo, we are revolutionizing workplace learning through the power of AI. Our innovative learning platform empowers organizations to create, deliver, and manage training seamlessly. Our mission extends beyond technology; we are dedicated to enhancing team productivity, fostering intelligent workflows, and transforming training into a powerful asset. The outcome? Superior learning experiences and tangible business results.Join us in shaping the future of learning with a team that embraces innovation and challenges the status quo. If you are passionate about leveraging AI to enhance the work-life of individuals, you will thrive in our culture. Our values, known as the Docebo Heart, emphasize trust, positive intent, and inclusivity.So, what are you waiting for? Become part of our global community of over 900 Docebians and help us redefine the learning experience. The Adventure AheadAs a Technical Deployment Manager, you will serve as a crucial link between intricate technical systems and exceptional learner experiences. Acting as the primary technical consultant for our clients worldwide, you will transform complex API workflows and SSO configurations into impactful solutions. By merging project management skills with in-depth technical knowledge, you will help our clients not only launch a platform but also initiate a transformative journey for their teams. The Day-to-DayArchitect the Solution: Collaborate with clients to identify success metrics and create detailed implementation schedules that align with their strategic goals.Master the API: Define sophisticated workflows and assess API requirements to enable clients to confidently begin their development initiatives.Build the Bridge: Establish seamless integrations with third-party platforms and automate data workflows using Docebo Connect.Decode the Data: Develop tailored SQL queries to facilitate actionable insights through customized reporting.

ShyftLabs delivers data-driven digital products for Fortune 500 clients, working across industries to create measurable business results. Since 2020, the company has grown teams in Canada, the U.S., and India, and values people who turn ambitious ideas into practical solutions. Role overview The Senior AI Engineer position is based in Toronto and focuses on building and deploying AI-powered features in production environments. This is a hands-on engineering role, working closely with Product, Architecture, and other engineering teams to deliver intelligent capabilities for ShyftLabs’ data-centric platforms. The role also involves contributing to the backend infrastructure that supports these products, with an emphasis on scalability and reliability. What you will do Design, build, and deploy AI and machine learning features directly into production systems Work with cross-functional teams to integrate intelligent functionality into new platforms Help develop backend platforms, focusing on scalability and resilience Requirements Significant experience in AI or machine learning engineering Strong skills in backend development Experience with fine-tuning large language model integrations Ability to design resilient APIs or event-driven services

Join the innovative team at Extreme Networks as a Senior Kubernetes Platform Engineer. In this pivotal role, you will design, implement, and manage our Edge Kubernetes Platform, catering to both connected and air-gapped environments. You will engage directly with technologies such as Kubernetes, the Rancher Gov stack, and GitOps methodologies to create secure, scalable, and reliable infrastructure solutions.Your collaboration with cross-functional teams will be essential in ensuring the effective deployment, upgrade, and lifecycle management of enterprise Kubernetes platforms. This position is perfect for individuals with extensive Kubernetes knowledge who excel at addressing intricate infrastructure challenges in distributed and regulated settings.

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.