Senior Technical Analyst - DevOps & Production Ops

Senior Technical Analyst - DevOps Focus (AWS DevOps, MLOps & Production Operations)

General Company Info

Our client is a privately owned, established financial services leader that has been helping Canadian investors build stronger financial futures for over 35 years. Offering a wide range of trusted investment portfolios and services to individuals and institutions, our client boldly embraces innovation across every area of their business. Recognized as one of Canada’s Top 100 Employers for the past five consecutive years, they foster a compassionate, inclusive, and people-centric environment where team members are supported to grow both personally and professionally.

General Role Info

Our client is seeking a hands-on Senior Technical Analyst / Developer with a strong focus on AWS DevOps, cloud infrastructure, and production operations to deploy, scale, and support enterprise machine learning, data, and AI workloads. Bridging cloud engineering, MLOps, software development, and production support, you will partner closely with Architecture, Security, Cloud, Data Science, and Product teams to ensure reliable, secure, and cost-effective deployments across AWS, Snowflake, and Informatica Cloud. You will also provide day-to-day technical leadership, code reviews, and mentorship to fellow team members.

Main Responsibilities

• AWS DevOps & Cloud Infrastructure: Deploy, manage, and operate production ML, data, and AI workloads on AWS (leveraging services such as SageMaker, Bedrock, S3, Lambda, ECS, EKS, and CloudWatch).
• CI/CD & Automation: Build and maintain robust CI/CD pipelines, containerized deployments, infrastructure automation, and Python/SQL-based operational automation.
• Production Operations & Reliability: Implement comprehensive logging, monitoring, alerting, cloud cost controls, and operational runbooks. Coordinate production releases, deployment validation, and operational handovers.
• Incident Management & Root-Cause Analysis: Lead troubleshooting across application, data, infrastructure, and model-processing layers, driving thorough root-cause analysis and preventative fixes.
• MLOps, Data & AI Pipeline Support: Operationalize machine learning models and support Generative/Agentic AI retrieval workflows, model versioning, automated testing, and data pipelines across AWS, Snowflake, and Informatica Cloud.
• Technical Leadership & Governance: Translate business and technical requirements into resilient architecture designs; review solutions for security, data quality, lineage, and architectural standards; and mentor team members through code reviews and knowledge sharing.

Must Haves

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field (or equivalent practical experience).
• 5–8 years of experience in cloud engineering, DevOps, software development, data engineering, or production technical operations.
• Hands-on experience deploying, managing, and supporting production workloads on AWS.
• Strong experience with Git, CI/CD pipelines, automated testing, logging, monitoring, and production support.
• Strong hands-on proficiency in Python and SQL for automation, integrations, and data processing.
• Deep hands-on experience with specific AWS services, including SageMaker, Amazon Bedrock, S3, Lambda, ECS, EKS, and CloudWatch.
• Working experience with Snowflake and Informatica Cloud.
• Proven experience building and supporting data pipelines, system integrations, and troubleshooting complex production incidents.
• Strong analytical, problem-solving, and stakeholder-management skills, with the ability to translate requirements into actionable technical specifications.
• Current legal work authorization to work in Canada.

Nice to Haves

• Background in Docker, Infrastructure as Code (IaC), and workflow orchestration tools.
• Experience operationalizing machine learning models and implementing MLOps best practices (versioning, monitoring, deployment).
• Exposure to Generative AI, RAG (Retrieval-Augmented Generation), vector search, or agent-based workflows.
• Familiarity with REST APIs, enterprise integrations, cloud security best practices, and data lineage/metadata governance.
• Relevant certifications in AWS, DevOps, Snowflake, Informatica, or Data Engineering.

Other Important Info

• Compensation: $100,000 – $125,000 CAD base salary + 20% annual bonus target.
• Work Model & Location: Hybrid schedule 2 Days Onsite - 3 Robert Speck Parkway, Mississauga.

Total Rewards & Perks:

• Group RRSP contributions starting after 6 months (no employee matching required).
• 100% employer-paid comprehensive health benefits starting Day 1, including up to $5,000/year for mental health services and therapy.
• Parental leave top-up to 100% of salary for up to 25 weeks.
• Up to $650 home office equipment allowance.
• Generous PTO plus 2 paid volunteer days annually.
• Extensive learning and development support, including 11,000+ training courses, tuition reimbursement, and financial rewards for completing required designations.

📩 How to Apply

If this sounds like a strong fit for your background and you meet the must-have qualifications, please forward your CV directly to me at:

📧 ANDY.WETTLAUFER@RANDSTADDIGITAL.COM

This post is for existing and upcoming vacanies