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Bank of Montreal

Senior Cloud Engineer - Data, AI

Reposted Yesterday
In-Office or Remote
10 Locations
Senior level
In-Office or Remote
10 Locations
Senior level
As a Senior Cloud Engineer, you will lead the planning and development of data and AI products, engage with stakeholders, ensure compliance with technical standards, and mentor team members in agile delivery processes.
The summary above was generated by AI

Application Deadline:

01/30/2026

Address:

VIRTUAL(R)13 - HomeRes - IL

Job Family Group:

Technology

We are seeking an enthusiastic and passionate professional for a Senior Cloud Engineer – Data & AI.  You will support the business and technology cloud initiatives, with focus on the Bank's 3 to 5 year cloud technology roadmap, facilitating innovation and adoption of next-generation technologies.  We collaborate with Enterprise Architecture, and business technology stakeholders, connecting subject matter experts with business, information, domain and solution architects.

What will you do

  • Lead in the planning, design, development, testing, implementation, documentation, and support of data and AI products

  • Partner with business stakeholders in translating business requirements (functional and non-functional) into data and AI products

  • Provide direction on technical designs and ensure alignment with standards and roadmaps

  • Identify, track, and perform regression testing on defects found

  • Lead process improvement opportunities, to improve our delivery and deployment capabilities

  • Accelerate development by building frameworks, automation scripts, and reusable code

  • Strengthen development capability via mentoring, knowledge sharing, and building communities of practice

What do you need to succeed

Must have

  • 5 - 7 years of relevant experience and IT education and/or certification(s)

  • Hands on experience with ETL/ELT development/testing and data warehousing concepts 

  • Hands on experience with SQL, NoSQL, Python, Spark, Scala

  • Experience with SSIS, Glue, cloud storage and computing services (e.g. AWS, Azure), Hadoop, Netezza

  • Experience with structured, semi structured and unstructured datasets in batch and streaming

  • Experience with data analysis, data mapping and data profiling

  • Experience with AI concepts, GenAI, prompt engineering, retrieval-augmented generation (RAG), AI-powered tools in SDLC etc

  • Experience in Agile delivery, including usage of JIRA

Nice to have

  • Experience in large enterprise setting

  • Experience interacting with senior leaders

  • Experience working in highly regulated industries

Salary:

$81,400.00 - $151,800.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact.  We strive to help you make an impact from day one – for yourself and our customers.  We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to [email protected] and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Top Skills

AWS
Azure
Elt
ETL
Glue
Hadoop
Netezza
NoSQL
Python
Scala
Spark
SQL
Ssis

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