Azure Cloud and AI Lead - 69858401

Date published: Sep 18, 2026

Location: Toronto, ON - 199 Bay Street / Canada

Job category: Technology & Engineering

Work model: Hybrid

About the Position

We are seeking a Technical Lead – Azure Cloud, Kubernetes & Machine Learning to join our team. In this role, you will design and deliver scalable, cloud-native solutions that support pricing optimization and IoT-driven business outcomes.

Responsibilities

• 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.

Requirements

• 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.

Nice to Have

• 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 Offer

• Salary: Between $83,500 - $95,500 annually, depending on experience and qualifications.
• 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

About the Company

Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process, and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes, and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or follow us on Twitter.

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.

Additional employment information

Compensation 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.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status, or any other characteristic protected by federal, state, or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.

Apply now

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