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

Required Skills:

• Experience in systems administration, SRE or DevOps focused role
• Experience in handling production support (on-call)
• Good understanding of the Linux operating system and networking concepts.
• Demonstrated competency with the following AWS services: ECS, EC2, EBS, EKS, S3, RDS, ELB, IAM, Lambda.
• Experience with Docker containers and containerization concepts
• Experience with managing and scaling Kubernetes clusters in a production environment
• Experience building scalable infrastructure in AWS with Terraform.
• Strong knowledge of Protocol-level such as HTTP/HTTPS, SMTP, DNS, and LDAP
• Experience monitoring production systems
• Expertise in leveraging Automation / DevOps principles, experience with operational tools, and able to apply best practices for infrastructure and software deployment (Ansible).
• HAProxy, Nginx, SSH, MySQL configuration and operation experience
• Ability to work seamlessly with software developers, QA, project managers, and business development
• Ability to produce and maintain written documentation

DevOps Engineer - remote, Full time

Coincrowd is an innovative Fintech company. We offer a crypto platform for seamless payments, Crypto Vouchers, crypto trading, portfolio management, real time market data, breaking news and powerful analytics. Please visit https://coincrowd.com/ for more information.

Domain : Finance, Blockchain, Crypto

Job Description:

We're seeking a detail-oriented and proactive DevOps Engineer who has a strong background in Google Cloud Platform (GCP) environments. The ideal candidate will be comfortable operating in a fast-paced, dynamic startup environment, where they will have the opportunity to make substantial contributions.

Key Responsibilities:

• Develop, test, and maintain infrastructure on GCP.
• Automate infrastructure, application deployment, scaling, and management using Kubernetes and other similar tools.
• Collaborate with our software development team to ensure seamless deployment of software updates and enhancements.
• Monitor system performance and troubleshoot issues.
• Ensure high levels of performance, availability, sustainability, and security.
• Implement DevOps best practices, such as IAC (Infrastructure as Code).

Qualifications:

• Proven experience as a DevOps Engineer or similar role in software development and system administration.
• Strong experience with GCP (Google Cloud Platform), including Compute Engine, Cloud Functions, Cloud Storage, and other relevant GCP services.
• Knowledge of Kubernetes, Docker, Jenkins, or similar technologies.
• Familiarity with network protocols, firewalls, and VPN.
• Experience with scripting languages such as Python, Bash, etc.
• Understanding of Infrastructure as Code (IAC) tools, like Terraform or CloudFormation.
• Excellent problem-solving skills, attention to detail, and ability to work in a team.

What We Offer:

In recognition of your valuable contributions, you will receive an equity-based compensation package. Join our dynamic and innovative team in the rapidly evolving fintech industry and play a key role in shaping the future of Coincrowd's success.

If you're ready to be at the forefront of the Payment Technology revolution and have the vision and experience to drive sales growth in the crypto space, please join us in our mission to redefine fintech at Coincrowd.

Main tasks

• Supervision of the CI/CD process for the automated builds and deployments of web services and web applications as well as desktop tool in the cloud and container environment
• Responsibility of the operations part of a DevOps organization especially for development in the environment of container technology and orchestration, e.g. with Kubernetes
• Installation, operation and monitoring of web applications in cloud data centers for the purpose of development of the test as well as for the operation of an own productive cloud
• Implementation of installations of the solution especially in the container context
• Introduction, maintenance and improvement of installation solutions for development in the desktop and server environment as well as in the cloud and with on-premise Kubernetes
• Maintenance of the system installation documentation and implementation of trainings

Execution of internal software tests and support of involved teams and stakeholders

• Hands on Experience with Azure DevOps.

Qualification profile

• Bachelor’s or master’s degree in communications engineering, electrical engineering, physics or comparable qualification
• Experience in software
• Installation and administration of Linux and Windows systems including network and firewalling aspects
• Experience with build and deployment automation with tools like Jenkins, Gradle, Argo, AnangoDB or similar as well as system scripting (Bash, Power-Shell, etc.)
• Interest in operation and monitoring of applications in virtualized and containerized environments in cloud and on-premise
• Server environments, especially application, web-and database servers
• Knowledge in VMware/K3D/Rancer is an advantage
• Good spoken and written knowledge of English

As a DevOps Engineer with experience in Kubernetes, you will be responsible for leading and managing a team of DevOps engineers in the design, implementation, and maintenance of the organization's infrastructure. You will work closely with software developers, system administrators, and other IT professionals to ensure that the organization's systems are efficient, reliable, and scalable. 

Specific responsibilities will include: 

• Leading the team in the development and implementation of automation and continuous delivery pipelines using tools such as Jenkins, Terraform, and Ansible. 
• Managing the organization's infrastructure using Kubernetes, including deployment, scaling, and monitoring of applications. 

• Ensuring that the organization's systems are secure and compliant with industry standards. 
• Collaborating with software developers to design and implement infrastructure as code. 
• Providing mentorship and technical guidance to team members. 
• Troubleshooting and resolving technical issues in collaboration with other IT professionals. 
• Participating in the development and maintenance of the organization's disaster recovery and incident response plans. 

To be successful in this role, you should have strong leadership skills and experience with a variety of DevOps and infrastructure tools and technologies. You should also have excellent communication and problem-solving skills, and be able to work effectively in a fast-paced, dynamic environment. 

Role Purpose:

As a DevOps ,  You should be strong in both the Dev and Ops part of DevOps. We are looking for someone who has a deep understanding of systems architecture, understands core CS concepts well, and is able to reason about system behaviour rather than merely working with the toolset of the day. We believe that only such a person will be able to set a compelling direction for the team and excite those around them. 

If you are someone who fits the description above, you will find that the rewards are well worth the high bar. Being one of the early hires of the Bangalore office, you will have a significant impact on the culture and the team; you will work with a set of energetic and hungry peers who will challenge you, and you will have considerable international exposure and opportunity for impact across departments.

Responsibilities

1. Deployment, management, and administration of web services in a public cloud environment
2. Design and develop solutions for deploying highly secure, highly available, performant and scalable services in elastically provisioned environments
3. Design and develop continuous integration and continuous deployment solutions from development through production
4. Own all operational aspects of running web services including automation, monitoring and alerting, reliability and performance
5. Have direct impact on running a business by thinking about innovative solutions to operational problems
6. Drive solutions and communication for production impacting incidents
7. Running technical projects and being responsible for project-level deliveries
8. Partner well with engineering and business teams across continents

Required Qualifications

1. Bachelor’s or advanced degree in Computer Science or closely related field
2. 4 - 6 years professional experience in DevOps, with at least 1/2 years in Linux / Unix
3. Very strong in core CS concepts around operating systems, networks, and systems architecture including web services
4. Strong scripting experience in Python and Bash
5. Deep experience administering, running and deploying AWS based services
6. Solid experience with Terraform, Packer and Docker or their equivalents
7. Knowledge of security protocols and certificate infrastructure.
8. Strong debugging, troubleshooting, and problem solving skills 
9. Broad experience with cloud hosted applications including virtualization platforms, relational and non relational data stores, reverse proxies, and orchestration platforms
10. Curiosity, continuous learning and drive to continually raise the bar
11. Strong partnering and communication skills

Preferred Qualifications

1. Past experience as a senior developer or application architect strongly preferred.
2. Experience building continuous integration and continuous deployment pipelines
3. Experience with Zookeeper, Consul, HAProxy, ELK-Stack, Kafka, PostgreSQL.
4. Experience working with, and preferably designing, a system compliant to any security framework (PCI DSS, ISO 27000, HIPPA, SOC 2, ...)
5. Experience with AWS orchestration services such as ECS and EKS.
6. Experience working with AWS ML pipeline services like AWS Sagemak

If you are looking for good opportunity in Cloud Development/Devops. Here is the right opportunity.

EXP: 4-10 YRs
Location:Pune
Job Type: Permanent
Minimum qualifications:

• Education: Bachelor-Master degree 
• Proficient in English language. 

Relevant experience:

• Should have been working for at least four years as a DevOps/Cloud Engineer 
• Should have worked on AWS Cloud Environment in depth 
• Should have been working in an Infrastructure as code environment or understands it very clearly. 
• Has done Infrastructure coding using Cloudformation/Terraform and Configuration Management using Chef/Ansibleand Enterprise Bus(RabbitMQ/Kafka) 
• Deep understanding of the microservice design and aware of centralized Caching(Redis), centralizedconfiguration(Consul/Zookeeper)