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

We are looking for a highly skilled DevOps/Cloud Engineer with over 6 years of experience in infrastructure automation, cloud platforms, networking, and security. If you are passionate about designing scalable systems and love solving complex cloud and DevOps challenges—this opportunity is for you.

Key Responsibilities

• Design, deploy, and manage cloud-native infrastructure using Kubernetes (K8s), Helm, Terraform, and Ansible
• Automate provisioning and orchestration workflows for cloud and hybrid environments
• Manage and optimize deployments on AWS, Azure, and GCP for high availability and cost efficiency
• Troubleshoot and implement advanced network architectures including VPNs, firewalls, load balancers, and routing protocols
• Implement and enforce security best practices: IAM, encryption, compliance, and vulnerability management
• Collaborate with development and operations teams to improve CI/CD workflows and system observability

Required Skills & Qualifications

• 6+ years of experience in DevOps, Infrastructure as Code (IaC), and cloud-native systems
• Expertise in Helm, Terraform, and Kubernetes
• Strong hands-on experience with AWS and Azure
• Solid understanding of networking, firewall configurations, and security protocols
• Experience with CI/CD tools like Jenkins, GitHub Actions, or similar
• Strong problem-solving skills and a performance-first mindset

Why Join Us?

• Work on cutting-edge cloud infrastructure across diverse industries
• Be part of a collaborative, forward-thinking team
• Flexible hybrid work model – work from anywhere while staying connected
• Opportunity to take ownership and lead critical DevOps initiatives

Hiring for the below position with one of our premium client

Role: Senior DevOps Engineer

Exp:7+ years

Location: Chennai

Key skills: DevOps, Cloud, Python scripting

Description:

 Strong analytical and problem-solving skills 

Ability to work independently, learn quickly and be proactive

 7-9 years overall and at least 3-4 years of hands-on experience in designing and managing DevOps Cloud infrastructure

 Experience must include a combination of:

o Experience working with configuration management tools – Ansible, Chef, Puppet, SaltStack (expertise in at least one tool is a must)

o Ability to write and maintain code in at least one scripting language (Python preferred)

o Practical knowledge of shell scripting

o Cloud knowledge – AWS, VMware vSphere

o Good understanding and familiarity with Linux o Networking knowledge – Firewalls, VPNs, Load Balancers o Web/Application servers, Nginx, JVM environments

o Virtualization and containers - Xen, KVM, Qemu, Docker, Kubernetes, etc.

o Familiarity with logging systems - Logstash, Elasticsearch, Kibana o Git, Jenkins, Jira 

If interested kindly apply!

About Us -Celebal Technologies is a premier software services company in the field of Data Science, Big Data and Enterprise Cloud. Celebal Technologies helps you to discover the competitive advantage by employing intelligent data solutions using cutting-edge technology solutions that can bring massive value to your organization. The core offerings are around "Data to Intelligence", wherein we leverage data to extract intelligence and patterns thereby facilitating smarter and quicker decision making for clients. With Celebal Technologies, who understands the core value of modern analytics over the enterprise, we help the business in improving business intelligence and more data-driven in architecting solutions.

Key Responsibilities

•        As a part of the DevOps team, you will be responsible for configuration, optimization, documentation, and support of the CI/CD components.

•        Creating and managing build and release pipelines with Azure DevOps and Jenkins.

•        Assist in planning and reviewing application architecture and design to promote an efficient deployment process.

•        Troubleshoot server performance issues & handle the continuous integration system.

•        Automate infrastructure provisioning using ARM Templates and Terraform.

•        Monitor and Support deployment, Cloud-based and On-premises Infrastructure.

•        Diagnose and develop root cause solutions for failures and performance issues in the production environment.

•        Deploy and manage Infrastructure for production applications

•        Configure security best practices for application and infrastructure

Essential Requirements

•        Good hands-on experience with cloud platforms like Azure, AWS & GCP. (Preferably Azure)

•        Strong knowledge of CI/CD principles.

•        Strong work experience with CI/CD implementation tools like Azure DevOps, Team city, Octopus Deploy, AWS Code Deploy, and Jenkins.

•        Experience of writing automation scripts with PowerShell, Bash, Python, etc.

•        GitHub, JIRA, Confluence, and Continuous Integration (CI) system.

•        Understanding of secure DevOps practices

Good to Have -

•        Knowledge of scripting languages such as PowerShell, Bash

•        Experience with project management and workflow tools such as Agile, Jira, Scrum/Kanban, etc.

•        Experience with Build technologies and cloud services. (Jenkins, TeamCity, Azure DevOps, Bamboo, AWS Code Deploy)

•        Strong communication skills and ability to explain protocol and processes with team and management.

•        Must be able to handle multiple tasks and adapt to a constantly changing environment.

•        Must have a good understanding of SDLC.

•        Knowledge of Linux, Windows server, Monitoring tools, and Shell scripting.

•        Self-motivated; demonstrating the ability to achieve in technologies with minimal supervision.

•        Organized, flexible, and analytical ability to solve problems creatively.

• 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

• Experience using AWS (that’s just common sense)
• Experience designing and building web environments on AWS, which includes working with services like EC2, ELB, RDS, and S3
• Experience building and maintaining cloud-native applications
• A solid background in Linux/Unix and Windows server system administration
• Experience using https://www.simplilearn.com/tutorials/devops-tutorial/devops-tools" target="_blank">DevOps tools in a cloud environment, such as Ansible, Artifactory, https://www.simplilearn.com/tutorials/docker-tutorial/what-is-docker-container" target="_blank">Docker, GitHub, https://www.simplilearn.com/tutorials/jenkins-tutorial/what-is-jenkins" target="_blank">Jenkins, https://www.simplilearn.com/tutorials/kubernetes-tutorial/what-is-kubernetes" target="_blank">Kubernetes, Maven, and Sonar Qube
• Experience installing and configuring different application servers such as JBoss, Tomcat, and WebLogic
• Experience using monitoring solutions like CloudWatch, ELK Stack, and Prometheus
• An understanding of writing Infrastructure-as-Code (IaC), using tools like CloudFormation or Terraform
• Knowledge of one or more of the most-used programming languages available for today’s cloud computing (i.e., SQL data, XML data, R math, Clojure math, Haskell functional, Erlang functional, Python procedural, and Go procedural languages)
• Experience in troubleshooting distributed systems
• Proficiency in script development and scripting languages
• The ability to be a team player
• The ability and skill to train other people in procedural and technical topics
• Strong communication and collaboration skills

As a special aside, an AWS engineer who works in DevOps should also have experience with:

• The theory, concepts, and real-world application of Continuous Delivery (CD), which requires familiarity with tools like AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline
• An understanding of automation

Why you should join us

- You will join the mission to create positive impact on millions of peoples lives

- You get to work on the latest technologies in a culture which encourages experimentation - You get to work with super humans (Psst: Look up these super human1, super human2, super human3, super human4)

- You get to work in an accelerated learning environment

What you will do

- You will provide deep technical expertise to your team in building future ready systems.

- You will help develop a robust roadmap for ensuring operational excellence

- You will setup infrastructure on AWS that will be represented as code

- You will work on several automation projects that provide great developer experience

- You will setup secure, fault tolerant, reliable and performant systems

- You will establish clean and optimised coding standards for your team that are well documented

- You will set up systems in a way that are easy to maintain and provide a great developer experience

- You will actively mentor and participate in knowledge sharing forums

- You will work in an exciting startup environment where you can be ambitious and try new things :)

You should apply if

- You have a strong foundation in Computer Science concepts and programming fundamentals

- You have been working on cloud infrastructure setup, especially on AWS since 8+ years

- You have set up and maintained reliable systems that operate at high scale

- You have experience in hardening and securing cloud infrastructures

- You have a solid understanding of computer networking, network security and CDNs

- Extensive experience in AWS, Kubernetes and optionally Terraform

- Experience in building automation tools for code build and deployment (preferably in JS)

- You understand the hustle of a startup and are good with handling ambiguity

- You are curious, a quick learner and someone who loves to experiment

- You insist on highest standards of quality, maintainability and performance

- You work well in a team to enhance your impact

About Us

We have grown over 1400% in revenues in the last year.

Interface.ai provides an Intelligent Virtual Assistant (IVA) to FIs to automate calls and customer inquiries across multiple channels and engage their customers with financial insights and upsell/cross-sell.

Our IVA is transforming financial institutions’ call centers from a cost to a revenue center.

Our core technology is built 100% in-house with several breakthroughs in Natural Language Understanding. Our parser is built based on zero-shot learning that helps us to launch industry-specific IVA that can achieve over 90% accuracy on Day-1. 

We are 45 people strong with employees spread across India and US locations. Many of them come from ML teams at Apple, Microsoft, and Salesforce in the US along with enterprise architects with over 20+ years of experience building large-scale systems. Our India team consists of people from ISB, IIMs, and many who have been previously part of early-stage startups. 

We are a fully remote team.

Founders come from Banking and Enterprise Technology backgrounds with previous experience scaling companies from scratch to $50M+ in revenues.

As a Site Reliability Engineer you will be in charge of:

• Designing, analyzing and troubleshooting large-scale distributed systems
• Engaging in cross-functional team discussions on design, deployment, operation, and maintenance,  in a fast-moving, collaborative set up
• Building automation scripts to validate the stability, scalability, and reliability of interface.ai’s products & services as well as enhance interface.ai’s employees’ productivity
• Debugging and optimizing code and automating routine tasks
• Troubleshoot and diagnose issues (hardware or software), propose and implement solutions to ensure they occur with reduced frequency
• Perform the periodic on-call duty to handle security, availability, and reliability of interface.ai’s products 
• You will follow and write good code and solid engineering practices

You can be a great fit if you are :

1. Extremely self motivated
2. Ability to learn quickly
3. Growth Mindset (read this if you don't know what it means - https://www.amazon.com/Mindset-Psychology-Carol-S-Dweck/dp/0345472322" target="_blank">link)
4. Emotional Maturity (read this if you don't know what it means - https://medium.com/@krisgage/15-signs-of-emotional-maturity-38b1a2ab9766" target="_blank">link)
5. Passionate about the possibilities at the intersection of AI + Banking
6. Worked in a startup of 5 to 30 employees
7. Developer with a strong interest in systems Design. You will be building, maintaining, and scaling our cloud infrastructure through software tooling and automation. 
8. 4-8 years of industry experience developing and troubleshooting large-scale infrastructure on the cloud
9. Have a solid understanding of system availability, latency, and performance
10. Strong programming skills in at least one major programming language and the ability to learn new languages as needed  
11. Strong System/network debugging skills
12. Experience with management/automation tools such as Terraform/Puppet/Chef/SALT
13. Experience with setting up production-level monitoring and telemetry
14. Expertise in Container management & AWS
15. Experience with kubernetes is a plus
16. Experience building CI/CD pipelines
17. Experience working with Web sockets, Redis, Postgres, Elastic search, Logstash
18. Experience working in an agile team environment and proficient understanding of code versioning tools, such as Git.
19. Ability to effectively articulate technical challenges and solutions.
20. Proactive outlook for ways to make our systems more reliable