DevOps Engineer

AI & ML (45 Days – Live Hands‑On)

Program Fee: ₹25,000

Duration: 45 Days

Mode: Hybrid (Online Sessions + Live Lab Access)

Eligibility: Freshers, Final‑Year Students, and Career Switchers

About the Internship

This intensive 45‑day internship program is designed for freshers who want to build strong, industry‑relevant skills in Cloud Infrastructure, Cybersecurity, and AI/ML model development. The program offers live production hands‑on training, allowing interns to work on real-world architectures, security workflows, and AI/ML deployments.

Participants will receive end‑to‑end exposure to modern cloud platforms, DevOps practices, security operations, and machine learning deployment, making them job‑ready for roles like:

• Cloud/Infra Engineer
• DevOps Engineer
• Security Analyst
• AI/ML Engineer
• Site Reliability Engineer (SRE)

Key Highlights

• 45 days of practical, mentor-led training
• Live production-style projects and deployments
• Hands‑on experience with:
• AWS / Azure Cloud
• Terraform, CI/CD, Docker, Kubernetes
• Security Hardening & IAM
• Python ML pipelines & model deployment
• Architect & deploy real systems using best practices
• Build portfolio-ready projects
• Receive an industry-recognized Internship Certificate

What You Will Learn

1️⃣ Cloud Infrastructure & DevOps

• Cloud fundamentals (AWS/Azure/GCP)
• Linux administration & scripting
• VPC, Subnets, Routing, NAT, Firewalls
• EC2 provisioning & autoscaling
• Load balancing & High Availability
• Terraform for Infrastructure as Code
• CI/CD pipelines using Jenkins / GitHub Actions
• Docker containerization & Kubernetes basics

2️⃣ Cybersecurity & Cloud Security

• IAM roles, policies, access control
• Server security & hardening
• SSL/TLS, encryption, key management
• Secure VPC & subnet design
• Threat detection & logging
• Secrets management
• Network segmentation & firewall best practices

3️⃣ AI & Machine Learning

• Python for ML
• Supervised and unsupervised algorithms
• Data preprocessing & model training
• Model evaluation & optimization
• Build ML inference APIs using FastAPI/Flask
• Containerize and deploy ML models to cloud
• Integrate monitoring for ML workflows

✅ Live Hands‑On Projects

Interns will work on real-world, production-grade projects such as:

• Deploy a secure 3‑tier web application on cloud
• Automate infra provisioning using Terraform
• Build CI/CD pipelines for automated deployments
• Harden servers & configure security groups, IAM
• Develop and deploy an ML model as a cloud API
• Create monitoring dashboards with Prometheus/Grafana
• End-to-end system deployment with logging and alerting

Each intern will complete a Capstone Project and present it during the final evaluation.

✅ Internship Deliverables

1. Internship Completion Certificate
2. 3+ Production‑level projects
3. GitHub portfolio with all code and deployments
4. Cloud & ML documentation
5. Resume enhancement and guidance
6. Career mentoring + interview preparation

✅ Who Should Apply

This internship is ideal for:

• Fresh graduates
• Final‑year engineering or IT students
• BSc, BCA, MCA, B.Tech learners
• Professionals switching careers to Cloud/DevOps/AI
• Anyone seeking hands‑on, real‑time industry experience

✅ Program Fee

₹25,000/- (includes training, labs, live‑project access, certificate, and mentorship)

✅ Certificate Provided

All participants will receive a verified Internship Certificate, including:

• Candidate Name
• Internship Duration & Dates
• Skills Covered
• Project Evaluation Score
• Authorized Signatory & Company Seal

ROLES AND RESPONSIBILITIES:

• Plan, schedule, and manage all releases across product and customer projects.
• Define and maintain the release calendar, identifying dependencies and managing risks proactively.
• Partner with engineering, QA, DevOps, and product management to ensure release readiness.
• Create release documentation (notes, guides, videos) for both internal stakeholders and customers.
• Run a release review process with product leads before publishing.
• Publish releases and updates to the company website release section.
• Drive communication of release details to internal teams and customers in a clear, concise way.
• Manage post-release validation and rollback procedures when required.
• Continuously improve release management through automation, tooling, and process refinement.

IDEAL CANDIDATE:

• 3+ years of experience in Release Management, DevOps, or related roles.
• Strong knowledge of CI/CD pipelines, source control (Git), and build/deployment practices.
• Experience creating release documentation and customer-facing content (videos, notes, FAQs).
• Excellent communication and stakeholder management skills; able to translate technical changes into business impact.
• Familiarity with SaaS, iPaaS, or enterprise software environments is a strong plus.

PERKS, BENEFITS AND WORK CULTURE:

• Competitive salary package.
• Opportunity to learn from and work with senior leadership & founders.
• Build solutions for large enterprises that move from concept to real-world impact.
• Exceptional career growth pathways in a highly innovative and rapidly scaling environment.

• Public clouds, such as AWS, Azure, or Google Cloud Platform
• Automation technologies, such as Kubernetes or Jenkins
• Configuration management tools, such as Puppet or Chef
• Scripting languages, such as Python or Ruby

• Strong Systems Experience- Linux, networking, cloud, APIs
• Scripting language Programming - Shell, Python
• Strong Debugging Capability
• AWS Platform -IAM, Network,EC2, Lambda, S3, CloudWatch
• Knowledge on Terraform, Packer, Ansible, Jenkins
• Observability - Prometheus, InfluxDB, Dynatrace,
• Grafana, Splunk • DevSecOps-CI/CD - Jenkins
• Microservices
• Security & Access Management
• Container Orchestration a plus - Kubernetes, Docker etc.
• Big Data Platforms knowledge EMR, Databricks. Cloudera a plus

• 7-10 years experience with secure SDLC/DevSecOps practices such as automating security processes within CI/CD pipeline.
• At least 4 yrs. experience designing, and securing Data Lake & Web applications deployed to AWS, Azure, Scripting/Automation skills on Python, Shell, YAML, JSON
• At least 4 years of hands-on experience with software development lifecycle, Agile project management (e.g. Jira, Confluence), source code management (e.g. Git), build automation (e.g. Jenkins), code linting and code quality (e.g. SonarQube), test automation (e.g. Selenium)
• Hand-on & Solid understanding of Amazon Web Services & Azure-based Infra & applications
• Experience writing cloud formation templates, Jenkins, Kubernetes, Docker, and microservice application architecture and deployment.
• Strong know-how on VA/PT integration in CI/CD pipeline.
• Experience in handling financial solutions & customer-facing applications

Roles

• Accelerate enterprise cloud adoption while enabling rapid and stable delivery of capabilities using continuous integration and continuous deployment principles, methodologies, and technologies
• Manage & deliver diverse cloud [AWS, Azure, GCP] DevSecOps journeys
• Identify, prototype, engineer, and deploy emerging software engineering methodologies and tools
• Maximize automation and enhance DevSecOps pipelines and other tasks
• Define and promote enterprise software engineering and DevSecOps standards, practices, and behaviors
• Operate and support a suite of enterprise DevSecOps services
• Implement security automation to decrease the loop between the development and deployment processes.
• Support project teams to adopt & integrate the DevSecOps environment
• Managing application vulnerabilities, Data security, encryption, tokenization, access management, Secure SDLC, SAST/DAST
• Coordinate with development and operations teams for practical automation solutions and custom flows.
• Own DevSecOps initiatives by providing objective, practical and relevant ideas, insights, and advice.
• Act as Release gatekeeper with an understanding of OWASP top 10 lists of vulnerabilities, NIST SP-800-xx, NVD, CVSS scoring, etc concepts
• Build workflows to ensure a successful DevSecOps journey for various enterprise applications. 
• Understand the strategic direction to reach business goals across multiple projects & teams
• Collaborate with development teams to understand project deliverables and promote DevSecOps culture
• Formulate & deploy cloud automation strategies and tools

Skills

• Knowledge of the DevSecOps culture and principles.
• An understanding of cloud technologies & components
• A flair for programming languages such as Shell, Python, Java Scripts,
• Strong teamwork and communication skills.
• Knowledge of threat modeling and risk assessment techniques.
• Up-to-date knowledge of cybersecurity threats, current best practices, and the latest software.
• An understanding of programs such as Puppet, Chef, ThreatModeler, Checkmarx, Immunio, and Aqua.
• Strong know-how of Kubernetes, Docker, AWS, Azure-based deployments
• On the job learning for new programming languages, automation tools, deployment architectures

• Works independently without any supervision
• Work on continuous improvement of the products through innovation and learning. Someone with a knack for benchmarking and optimization
• Experience in deploying highly complex, distributed transaction processing systems.
• Stay abreast with new innovations and the latest technology trends and explore ways of leveraging these for improving the product in alignment with the business.
• As a component owner, where the component impacts across multiple platforms (5-10-member team), work with customers to obtain their requirements and deliver the end-to-end project.

Required Experience, Skills, and Qualifications

• 5+ years of experience as a DevOps Engineer. Experience with the Golang cycle is a plus
• At least one End to End CI/CD Implementation experience
• Excellent Problem Solving and Debugging skills in DevOps area· Good understanding of Containerization (Docker/Kubernetes)
• Hands-on Build/Package tool experience· Experience with AWS services Glue, Athena, Lambda, EC2, RDS, EKS/ECS, ALB, VPC, SSM, Route 53
• Experience with setting up CI/CD pipeline for Glue jobs, Athena, Lambda functions
• Experience architecting interaction with services and application deployments on AWS
• Experience with Groovy and writing Jenkinsfile
• Experience with repository management, code scanning/linting, secure scanning tools
• Experience with deployments and application configuration on Kubernetes
• Experience with microservice orchestration tools (e.g. Kubernetes, Openshift, HashiCorp Nomad)
• Experience with time-series and document databases (e.g. Elasticsearch, InfluxDB, Prometheus)
• Experience with message buses (e.g. Apache Kafka, NATS)
• Experience with key-value stores and service discovery mechanisms (e.g. Redis, HashiCorp Consul, etc)
  
  

• Should have strong experience in working Configuration Management area, with tools preferably, TFSVC, TFS vNext OR GIT, SVN, Jenkins
• Strong working experience in tools related to Application Lifecycle Management, like Microsoft TFS
• Should have hands-on working experience in CICD (Continuous Integration Continuous Deployment) practices
• Strong be expertise in handling software builds & release mgmt. activities in Dotnet based environment / Java environment
• Strong skills in Perl or PowerShell or in any other scripting/automation/programming language
• Should have exposure to various build environments like dotNet, Java
• Should have experience with writing build scripts, automation of daily/nightly builds & deployment
• Good knowledge in Merging /Branching concepts.
• Good understanding of product life cycle management"
• Shall be very good technically; possess systems mindset and good problem-solving abilities
• Working with multisite teams, Quality conscious and Process & customer Oriented
• Self-starter and quick learner and ability to work with minimal supervision
• Can play a key role in the team
• Strong team player with a “can-do” attitude
• Ability to handle conflicts
• Ability to stay focused on the target in an ambiguous situation
• Good communication and documentation skills"

Job Dsecription:

○ Develop best practices for team and also responsible for the architecture

○ solutions and documentation operations in order to meet the engineering departments quality and standards

○ Participate in production outage and handle complex issues and works towards Resolution

○ Develop custom tools and integration with existing tools to increase engineering Productivity

Required Experience and Expertise

○ Having a good knowledge of Terraform + someone who has worked on large TF code bases.

○ Deep understanding of Terraform with best practices & writing TF modules.

○ Hands-on experience of GCP  and AWS and knowledge on AWS Services like VPC and VPC related services like (route tables, vpc endpoints, privatelinks) EKS, S3, IAM. Cost aware mindset towards Cloud services.

○ Deep understanding of Kernel, Networking and OS fundamentals

NOTICE PERIOD - Max - 30 days

BENEFITS: -

 Competitive salary and stock options -

 Premium medical benefits 

LOCATION: - Remote (India) 

EDUCATION AND EXPERIENCE - 

Degree in computer science, software engineering, or a related field - 

At least 3-5 years of professional work experience as a 

DevOps / test automation / deployment engineer -

 Experience in agile software development methodologies 

JOB RESPONSIBILITIES: -

 Design and development of scalable software test framework to automate test procedures - Perform health checks of existing sites periodically (manually and also developing a automation pipeline) - Manage per site software releases - 

Generate release notes, user guides, technical documentation -

 Perform upgrades/ downgrades (patch management) - 

Generate and Manage configurations - 

Suggest process improvements by interfacing with product owner - 

File process/installation/deployment related issues & tracking them - 

Verify customer-reported issues and translate them into technical tasks for development 

REQUIREMENTS:

 Following are must to have requirements, - 

Automation frameworks like Selenium etc. - 

Scripting languages like Perl, Python etc. - 

Linux systems - 

Version control system like git -

 Issue tracking system like Jira -

 Networking protocols -

 Cloud infrastructure - 

Ability to work individually and as part of a team with a sense of urgency -

 Excellent communication skills in written and verbal English - 

Great attention to detail 

PREFERRED: 

Following are good to have requirements, - 

Knowledge in any of the programming languages like C, C++ etc. 

Experience managing cloud-based (e.g., AWS, Google Cloud, etc.) and in-house server infrastructure - 

Familiarity with machine learning / artificial intelligence infrastructure - 

Experience in data visualization and statistics - 

Basic knowledge of hardware infrastructure containing routers, switches and others -

 Familiarity with web & data securityDesign and development of scalable software test framework to automate test 

DevOps Engineer responsibilities include deploying product updates, identifying production issues, and implementing integrations that meet customer needs. If you have a solid background in working with cloud technologies, set up efficient deployment processes, and are motivated to work with diverse and talented teams, we’d like to meet you.

Ultimately, you will execute and automate operational processes fast, accurately, and securely.

Skills and Experience

• 4+ years of experience in building infrastructure experience with Cloud Providers ( AWS, Azure, GCP)

• Experience in deploying containerized applications build on NodeJS/PHP/Python to kubernetes cluster.

• Experience in monitoring production workload with relevant metrics and dashboards.

• Experience in writing automation scripts using Shell, Python, Terraform, etc.

• Experience in following security practices while setting up the infrastructure. 

• Self-motivated, able, and willing to help where help is needed

• Able to build relationships, be culturally sensitive, have goal alignment, have learning agility  

Roles and Responsibilities

• Manage various resources across different cloud providers. (Azure, AWS, and GCP)

• Monitor and optimize infrastructure cost.

• Manage various kubernetes clusters with appropriate monitoring and alerting setup.

• Build CI/CD pipelines to orchestrate provisioning and deployment of various services into kubernetes infrastructure.

• Work closely with the development team on upcoming features to determine the correct infrastructure and related tools.

• Assist the support team with escalated customer issues.

• Develop, improve, and thoroughly document operational practices and procedures. 

• Responsible for setting up good security practices across various clouds.