Location
Lucknow, Uttar Pradesh
Work Mode
In Office
Duration
6 months
Stipend
₹26,000/mo
Start Date
Immediate / Rolling
Openings
12 positions
Type
Full-time
Category
Cloud Computing
About the Internship
Start your career in Amazon Web Services cloud engineering with Ameriprise Financial as an AWS Cloud Engineering Intern in Lucknow. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one.
About the role
As an AWS Cloud Engineering…
About Ameriprise Financial
Ameriprise Financial offers a mentor-led AWS Cloud Engineering Intern in Lucknow with live project work in cloud computing, a stipend of ₹26,000/month and a Pre-Placement Offer opportunity for strong performers.
See all Ameriprise Financialinternships →Lucknow, Uttar PradeshVerified employer12 openings
Apply to Ameriprise Financial →Skills Required
AWS (EC2, S3, VPC)IAM & Least PrivilegeCloudFormationLinuxNetworking BasicsCloudWatchBash ScriptingCost OptimisationGitTroubleshooting
Who Can Apply
- Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc (Computer Science / IT) who are based in or willing to work from Lucknow. You should be keen to learn AWS (EC2, S3, VPC), IAM & Least Privilege, CloudFormation on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.
Perks
Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityStructured onboarding and a formal mentor at a large, established employer
Interview & Selection Process
3 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Practical assignment or case study with a short walkthrough
- 3HR discussion — stipend, start date, expectations and offer
₹26,000/month
Stipend · 6 months
Openings12 positions
Applicants0 applied
ModeIn Office
CategoryCloud Computing
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