Posting record
Open 17+ days
- Nasdaq's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Nasdaq, so its true age is longer.
Last checked Nov 3, 2026.
How well do you match?
See how much of this posting your resume shows, and what it's missing.
Upload your resumeWhat it asks of you
- 3–5 years of experience
- Bachelor's degree asked for
- Equivalent experience accepted instead of a degree
What the posting discloses
- Pay
- $86k to $118k a year CAD
The base pay range for this role is $86,000 - $118,000. (quoted from the posting)
Not stated: Real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Skills mentioned
About the role
As a DevOps Cloud Engineer you'll play a critical role in designing, automating, and operating the cloud infrastructure that powers Nasdaq's global solutions and enables seamless software delivery at scale.
You'll thrive in this position if you're a collaborative problem-solver with deep technical expertise , a passion for automation, and the ability to drive infrastructure innovation in a fast-paced, high-impact environment.
Key Responsibilities
- Design and automate cloud infrastructure provisioning and application deployment on AWS to support business-critical solutions.
- Build and maintain robust CI/CD pipelines that enable engineering teams to deliver high-quality software efficiently.
- Develop infrastructure-as-code using modern tools to ensure scalability, reliability, and consistent configuration management across environments.
- Architect secure and resilient network solutions that support business continuity and disaster recovery objectives .
- Collaborate with engineering teams across functions and regions to improve development processes and operational excellence.
Required Qualifications
- Bachelor's degree in Computer Science , Engineering, or equivalent practical experience.
- 3–5 years of experience in DevOps, cloud engineering, or infrastructure automation.
- Strong hands-on experience with AWS services and cloud architecture design.
- Proficiency in infrastructure-as-code tools, containerization platforms, and configuration management.
- Clear communicator with experience working in collaborative, cross-functional environments.
Preferred Qualifications
- AWS certification (e. g., Solutions Architect Associate or Professional).
- Experience with serverless computing and modern programming languages such as Python or Java.
- Background in capital markets, fintech, or regulated industries.
Come as You Are
Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
What We Offer
We’re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq’s overall success.
The base pay range for this role is $86,000 - $118,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.
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