Lead AWS Cloud Engineer- Sagemaker

Iris's direct client, one of the Top 5 Bank in Canada, is looking to hire a Technical Lead -AWS and MLOps for a long-term opportunity. Our client is a Canadian multinational financial services company and the largest bank in Canada by market capitalization. The bank serves over 17 million clients and has more than 89,000 employees worldwide. Bank is serving individual consumers, small and middle market businesses and large corporations with a full range of banking, investing, asset management and other financial and risk-management products and services. Title: Technical Lead -AWS and MLOps Location: Toronto, ON (Hybrid – 2-3 Days in Office/week) Duration: Long-Term Open-Ended Contract Role Summary We are seeking a highly driven Project Lead with deep expertise in AWS cloud platforms and modern infrastructure practices. This role combines technical leadership, client-facing ownership, and team enablement across multiple initiatives. The ideal candidate thrives in fast-paced environments, proactively unblocks teams, and serves as a trusted technical advisor for cloud-native and AI/ML-enabled solutions. Key Responsibilities Lead and oversee multiple AWS-based delivery initiatives in parallel. Act as the primary technical point of contact for client stakeholders. Architect and guide cloud solutions leveraging AWS best practices. Mentor and enable offshore teams, ensuring progress during distributed working hours. Proactively identify risks, dependencies, and bottlenecks; unblock teams effectively. Drive infrastructure automation and platform maturity. Collaborate with AI/ML engineers to support ML infrastructure, pipelines, and deployments. Ensure security, reliability, scalability, and cost-awareness across cloud workloads. Required Skills & Experience 5+ years of hands-on experience delivering AWS projects, with overall 10+ years of experience. Deep understanding of core AWS services (IAM, VPC, ECS/EKS, Lambda, S3, RDS, Sagemaker etc.). Strong expertise in container technologies (Docker) and container orchestration (Kubernetes/EKS). Proven experience with Infrastructure as Code (AWS CDK preferred; Terraform acceptable). Hands-on experience with GitHub Actions and CI/CD workflow automation. Understanding of the AI/ML ecosystem, including model deployment and ML infrastructure patterns. Experience owning client communication, technical discussions, and delivery updates. Ability to support and unblock teams during offshore working hours. Self-driven, proactive, and accountable with a strong ownership mindset. Nice to Have Experience with MLOps platforms and ML pipelines. Exposure to cloud cost optimization and FinOps practices. Prior people-management or delivery-lead experience. About Iris Software Inc. With 4,000+ associates and offices in India, U.S.A. and Canada, Iris Software delivers technology services and solutions that help clients complete fast, far-reaching digital transformations and achieve their business goals. A strategic partner to Fortune 500 and other top companies in financial services and many other industries, Iris provides a value-driven approach - a unique blend of highly-skilled specialists, software engineering expertise, cutting-edge technology, and flexible engagement models. High customer satisfaction has translated into long-standing relationships and preferred-partner status with many of our clients, who rely on our 30+ years of technical and domain expertise to future-proof their enterprises. Associates of Iris work on mission-critical applications supported by a workplace culture that has won numerous awards in the last few years, including Certified Great Place to Work in India; Top 25 GPW in IT & IT-BPM; Ambition Box Best Place to Work, #3 in IT/ITES; and Top Workplace NJ-USA.

Lead and oversee multiple AWS-based delivery initiatives while serving as the primary technical point of contact for client stakeholders. Architect cloud-native and AI/ML-enabled solutions while mentoring offshore teams and driving infrastructure automation.

Requires over 10 years of total experience with at least 5 years of hands-on AWS project delivery. Candidates must have deep expertise in container orchestration, Infrastructure as Code, and the AI/ML ecosystem.

• KubernetesPreferred
• CI/CDPreferred
• DockerPreferred
• Amazon Web ServicesPreferred
• TerraformPreferred

Identified from the job description. Confirm important requirements above.

• AWS
• MLOps
• Sagemaker
• Docker
• Kubernetes
• EKS
• AWS CDK
• Terraform
• GitHub Actions
• CI/CD
• IAM
• VPC
• Lambda
• S3
• RDS
• Cloud Architecture

• Technology
• Software
• Engineering
• Management & Leadership
• Finance & Accounting

Minimum experience

10+ years

Apply by

Sep 5, 2026

Posting language

English

Working hours

40 hours per week

Office presence

3 days per week

Seniority

Mid-Senior level

Application method

Direct apply is available