Azure Cloud and AI Lead in Toronto

Azure Cloud and AI Lead in Toronto

Toronto Full-Time 83500 - 95500 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and deliver scalable cloud-native solutions using Azure and Kubernetes.
  • Company: Join a leading tech company focused on innovation and collaboration.
  • Benefits: Competitive salary, health benefits, paid time off, and employee stock purchase plan.
  • Other info: Great career growth opportunities and a supportive work-life balance.
  • Why this job: Make an impact with cutting-edge technology in a hybrid work environment.
  • Qualifications: 8+ years in software development with Azure, Java, and Python experience.

The predicted salary is between 83500 - 95500 $ per year.

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 Io T-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 modern 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 Io T 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 be clear about 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 Io T 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 Io T 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 transfer or sponsorship now or in the future

Salary and Other Compensation

Applications will be accepted until August 25, 2025.

The annual salary for this position is between $83,500- $95,500 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer

The salary, other compensation, and benefits information is accurate as of the date of this posting.

Cognizant reserves the right to modify this information at any time, subject to applicable law.

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Azure Cloud and AI Lead in Toronto employer: Cognizant

Cognizant is an exceptional employer that fosters a dynamic work culture focused on innovation and collaboration, particularly in the fast-paced financial services sector. Employees benefit from comprehensive growth opportunities, including access to cutting-edge technologies and professional development programs, all while working in a supportive environment that values diversity and inclusion. Located in a vibrant tech hub, Cognizant offers unique advantages such as networking with industry leaders and participating in transformative projects that make a real impact.

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Contact Details:

Cognizant Recruitment Team

We think you need these skills to ace Azure Cloud and AI Lead in Toronto

Advanced Java
Microsoft Azure Services
Kubernetes
Containerization
Microservices
Python Development
Machine Learning