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Azure Cloud and AI Lead - 69858401

Toronto Full-time AI Solutions Lead
Salary
$83,500-$95,500/yr
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Original posting on LinkedIn

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 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 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 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 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.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role

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: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

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.

Listing structured with AI support from LinkedIn. Always confirm the conditions with the company before applying.
FAQ

Frequently asked questions

Who offers this AI Solutions Lead role in Toronto?

The role is posted by Cognizant from LinkedIn. aiManagerJobs is a directory that collects, structures and links to the original source, it is not the employer. Hiring is handled by the company.

How much does this AI Solutions Lead role pay?

The salary stated in the posting is $83,500-$95,500/yr. It is indicative and worth confirming with Cognizant before applying.

What type of role is it?

This is a ai solutions lead position on a full-time basis in Toronto. The exact schedule and conditions are in the original posting from the company.

How do I apply for this role in Toronto?

Use the apply button to go to the original source (LinkedIn) and follow the company instructions. You can also create an alert and receive new Toronto roles by email.

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