Location
Noida
Work Mode
In Office
Duration
6 months
Stipend
₹20,000/mo
Start Date
Rolling intake
Openings
5 positions
Type
Full-time
Category
Cloud Computing
About the Internship
Successive Digital is recruiting Cloud & DevOps Interns in Noida, offering hands-on project work rather than classroom-style training alone.
The programme is designed for candidates who want to convert academic knowledge into commercial working practice.
Successive Digital works on cloud…
About Successive Digital
Successive Digital is a cloud and digital engineering company based in Noida, Uttar Pradesh.
The company operates from Noida, which has become one of India's significant technology employment centres.
It operates at a scale where individual engineers remain visible to leadership rather than being…
See all Successive Digitalinternships →NoidaVerified employer5 openings
Apply to Successive Digital →Skills Required
AWSDockerLinuxCI/CDKubernetesPythonGitInfrastructure as CodeMonitoringShell Scripting
Who Can Apply
- Final-year students and recent graduates with a BE/BTech/MCA/BCA/MSc/BSc in Computer Science, Information Technology or a related discipline, from the 2025 to 2027 batches. Comfort with Linux and command-line environments. Interest in cloud platforms, containers and automation. Good communication skills and availability for a full-time 6-month internship at the Noida office are required.
Perks
Monthly internship stipendLive client project experienceMentorship from senior team membersFull-time conversion opportunityExposure to multiple technologiesCertificate of internshipLetter of recommendation for strong performers
Interview & Selection Process
3 rounds — typical selection flow for this role:
- 1Screening — aptitude, programming fundamentals and logical reasoning
- 2Technical interview — cloud computing fundamentals and discussion of your projects
- 3HR discussion covering internship terms, stipend and conversion criteria
₹20,000/month
Stipend · 6 months
Openings5 positions
Applicants17 applied
ModeIn Office
CategoryCloud Computing
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