Noida Uttar Pradesh Software internship Jobs – 39 Open Jobs Today

Cloud Architect
ICF —New Delhi District, Delhi
- Full-time
- Azure
- Computer Science
- DevOps
AI & Software Engineering Intern
Two99 —Noida, Uttar Pradesh
- ₹10,000 - ₹15,000 a month
- Master's degree
- Databases
- SQL
Quick apply
4d
AI Engineer
Photon Software —Ghaziabad, Uttar Pradesh
- ₹15,000 - ₹20,000 a month
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
- Cell phone reimbursement
- Flexible schedule
Quick apply
4h
Web Developer Intern
Pushpendra Technology Pvt Ltd —Noida, Uttar Pradesh
- ₹5,000 a month
- Call employer
- Computer Science
- B.Sc
- Master's degree
Quick apply
2d
Software Engineer
R1 RCM, Inc. —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Master's degree
2d
Solutions Engineer Intern
LambdaTest —Noida, Uttar Pradesh
- ₹25,000 a month
- Full-time
- Java
- Master's degree
- JavaScript
Quick apply
2d
Technical/Desktop Support Engineer Intern
Khelo Tech & Strategy Pvt Ltd - Allsport.in —Saket, Delhi
- ₹9,000 - ₹10,000 a month
- Computer Science
- Software troubleshooting
- Bachelor's degree
Quick apply
7d
Developer in AWS environment
Thales —Noida, Uttar Pradesh
- Full-time
- Java
- Master's degree
- AWS
8d
Java Developer
Thales —Noida, Uttar Pradesh
- Full-time
- Java
- Master's degree
- C++
8d

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News Anchor
Fm News —Noida, Uttar Pradesh
We’re Hiring at FM News! Are you passionate about journalism and storytelling? Join FM News and be a part of a fast-growing digital news platform. Open…
₹15,000 - ₹2,00,000 a month
Quick apply
Hospital Receptionist
SKS Veterinary Hospital & Pet Shop —Noida, Uttar Pradesh
There will be 2 shift timings (9.00 am to 6.00 pm) and (12.30 pm to 9.30 pm), wherein both the shifts are mandatory.
₹15,000 - ₹18,000 a month
Quick apply
1d

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Cloud Architect

ICF -
New Delhi District, Delhi

Apply Now

Job details

Full-time

Qualifications

BCS
CI/CD
Cloud infrastructure
Azure
Cloud architecture
Computer Science
Kubernetes
Ansible
DevOps
Configuration management
Git
Google Cloud Platform
Bash (Unix shell)
RBAC
AWS
Docker
Bachelor's degree
Terraform
Continuous integration
Splunk
Azure Certification
Scripting
Software development
GitHub
AI
Jenkins
GitLab
Communication skills
Python
AWS Certified DevOps Engineer – Professional
AWS Certified Solutions Architect – Professional

Full job description

Description

Job Description:

We are seeking a highly skilled and motivated Cloud DevOps Engineer with a strong background in computer science, software development, cloud networking, and security principles. The ideal candidate will have extensive experience in cloud technologies and DevOps practices and will be responsible for designing, implementing, and maintaining scalable and secure cloud infrastructure.

Key Responsibilities:

Design, deploy, and manage scalable, secure, and reliable cloud infrastructure.
Implement DevSecOps practices to enhance security across the development lifecycle.
Automate the deployment, monitoring, and management of cloud-based applications.
Collaborate with cross-functional teams to ensure seamless integration and continuous delivery.
Build and manage CI/CD pipelines to streamline development and deployment processes.
Monitor system performance, troubleshoot issues, and optimize infrastructure for cost and efficiency.
Ensure adherence to security and compliance best practices across all cloud environments, including permission sets, Service Control Policies (SCPs), and other advanced security principles or Azure policies, RBAC controls.
Architect and implement robust cloud networking solutions, including VPCs, hub-and-spoke models, and cross-cloud provider connectivity.
Leverage SecOps technologies like Microsoft Defender, Rapid7, Splunk, or similar tools to enhance system security and visibility.
Drive cost optimization efforts by analyzing infrastructure usage and implementing strategies to minimize costs while maintaining performance and reliability.
Stay up-to-date with industry trends and emerging technologies to drive innovation.
Knowledge of Agentic Development is an advantage

Qualifications:

Experience of 8-12 years across Infrastructure Automation on Cloud Platforms
Experience in software development and cloud DevOps (internships, projects, or coursework).
Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
Proficiency in cloud networking concepts, including VPC design, subnetting, hub-and-spoke architectures, and hybrid or multi-cloud connectivity.
Expertise in scripting and automation tools such as Python, Bash, Terraform, Ansible, CloudFormation, Azure ARM, or Pulumi.
Experience with CI/CD tools like Jenkins, GitLab CI, CircleCI, or GitHub Actions.
Familiarity with containerization and orchestration tools like Docker and Kubernetes.
Strong understanding of security best practices, including permission sets and Service Control Policies (SCPs).
Knowledge of SecOps technologies such as Rapid7, Splunk, or other similar tools.
Knowledge of Cloud AI Services like AI Foundry or SageMaker or Bedrock is a plus
Knowledge of Cloud Data Technologies like Azure Synapse, AWS Glue, Snowflake, or Databricks is a plus
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Bachelor’s degree in computer science or a related field.

Preferred Qualifications:

Certifications in cloud technologies (e.g., AWS Certified Solutions Architect, Azure DevOps Engineer Expert).
Experience with infrastructure as code (IaC) and configuration management.
Knowledge of Service Catalogs is a plus.
Knowledge of Azure Dev Center is a plus.
Exposure to AI/ML and Generative AI technologies is a plus.

Working at ICF

ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair and equitable interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodations that involve the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at [email protected]. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.

India Remote Office (II99)

Apply Now

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Job Description:

Key Responsibilities:

Design, deploy, and manage scalable, secure, and reliable cloud infrastructure.

Implement DevSecOps practices to enhance security across the development lifecycle.

Automate the deployment, monitoring, and management of cloud-based applications.

Collaborate with cross-functional teams to ensure seamless integration and continuous delivery.

Build and manage CI/CD pipelines to streamline development and deployment processes.

Monitor system performance, troubleshoot issues, and optimize infrastructure for cost and efficiency.

Ensure adherence to security and compliance best practices across all cloud environments, including permission sets, Service Control Policies (SCPs), and other advanced security principles or Azure policies, RBAC controls.

Architect and implement robust cloud networking solutions, including VPCs, hub-and-spoke models, and cross-cloud provider connectivity.

Leverage SecOps technologies like Microsoft Defender, Rapid7, Splunk, or similar tools to enhance system security and visibility.

Drive cost optimization efforts by analyzing infrastructure usage and implementing strategies to minimize costs while maintaining performance and reliability.

Stay up-to-date with industry trends and emerging technologies to drive innovation.

Knowledge of Agentic Development is an advantage

Qualifications:

Experience of 8-12 years across Infrastructure Automation on Cloud Platforms

Experience in software development and cloud DevOps (internships, projects, or coursework).

Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud.

Proficiency in cloud networking concepts, including VPC design, subnetting, hub-and-spoke architectures, and hybrid or multi-cloud connectivity.

Expertise in scripting and automation tools such as Python, Bash, Terraform, Ansible, CloudFormation, Azure ARM, or Pulumi.

Experience with CI/CD tools like Jenkins, GitLab CI, CircleCI, or GitHub Actions.

Familiarity with containerization and orchestration tools like Docker and Kubernetes.

Strong understanding of security best practices, including permission sets and Service Control Policies (SCPs).

Knowledge of SecOps technologies such as Rapid7, Splunk, or other similar tools.

Knowledge of Cloud AI Services like AI Foundry or SageMaker or Bedrock is a plus

Knowledge of Cloud Data Technologies like Azure Synapse, AWS Glue, Snowflake, or Databricks is a plus

Excellent problem-solving skills and attention to detail.

Strong communication and collaboration skills.

Bachelor’s degree in computer science or a related field.

Preferred Qualifications:

Certifications in cloud technologies (e.g., AWS Certified Solutions Architect, Azure DevOps Engineer Expert).

Experience with infrastructure as code (IaC) and configuration management.

Knowledge of Service Catalogs is a plus.

Knowledge of Azure Dev Center is a plus.

Exposure to AI/ML and Generative AI technologies is a plus.