Job Title: Technical Lead – Azure Cloud, Kubernetes & Machine Learning About the role As a Technical Lead, you will make an impact by designing and delivering scalable, cloud-native solutions that support pricing optimization and IoT-driven business outcomes. You will be a valued member of the engineering team and work collaboratively with architects, product managers, data scientists, and cross-functional technology stakeholders to build secure, reliable, and high-performing platforms. In this role, you will: Design and implement cloud-native solutions on Azure, ensuring scalability, resiliency, security, and cost efficiency. Lead the development and deployment of containerized applications using Kubernetes and contemporary cloud-native practices. Build and enhance backend services using Advanced Java to deliver secure, maintainable, and high-performing business capabilities. Develop and support Python-based machine learning and IoT data processing solutions, including model deployment and operationalization. Partner with product, architecture, and analytics teams to translate business requirements into technical solutions that drive pricing optimization and measurable business value. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a Cognizant or client office in Toronto, Ontario. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting.



This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always beclearabout role expectations. What you need to have to be considered 8+ years of experience designing, developing, and implementing enterprise applications using Advanced Java and related frameworks. Strong hands-on experience with Microsoft Azure services, including compute, storage, networking, and cloud-native architecture patterns. Proven experience deploying and managing microservices-based applications on Kubernetes, including containerization, orchestration, and scaling. Strong Python development experience with machine learning, data engineering, and IoT data processing solutions. Experience with modern software engineering practices, including CI/CD, automated testing, version control, secure coding, and code reviews. Ability to troubleshoot complex production issues across cloud, application, and container platforms. Strong communication and stakeholder management skills with experience collaborating across distributed and hybrid teams. These will help you stand out Azure Solutions Architect Expert, Azure Developer Associate, or similar Microsoft Azure certification. Kubernetes or other cloud-native technology certifications. Experience implementing observability solutions using logs, metrics, tracing, and monitoring platforms. Knowledge of pricing optimization, revenue management, or related analytical business domains. Experience working with IoT platforms, real-time data pipelines, and advanced analytics solutions. Exposure to machine learning model deployment, MLOps, and production AI environments. Please note, this role is not able to offer visa

📌 2627 Founding Technical Lead / Cto (Toronto)
🏢 Altis
📍 Toronto