
About PGAGI:
At PGAGI, we believe in a future where AI and human intelligence coexist in harmony, creating a world that is smarter, faster, and better. We are not just building AI; we are shaping a future where AI is a fundamental and positive force for businesses, societies, and the planet.
Position Overview:
PGAGI Consultancy Pvt. Ltd. is seeking a proactive and motivated DevOps Intern with around 3-6 months of hands-on experience to support our AI model deployment and infrastructure initiatives. This role is ideal for someone looking to deepen their expertise in DevOps practices tailored to AI/ML environments, including CI/CD automation, cloud infrastructure, containerization, and monitoring.
Key Responsibilities:
AI Model Deployment & Integration
- Assist in containerizing and deploying AI/ML models into production using Docker.
- Support integration of models into existing systems and APIs.
Infrastructure Management
- Help manage cloud and on-premise environments to ensure scalability and consistency.
- Work with Kubernetes for orchestration and environment scaling.
CI/CD Pipeline Automation
- Collaborate on building and maintaining automated CI/CD pipelines (e.g., GitHub Actions, Jenkins).
- Implement basic automated testing and rollback mechanisms.
Hosting & Web Environment Management
- Assist in managing hosting platforms, web servers, and CDN configurations.
- Support DNS, load balancer setups, and ensure high availability of web services.
Monitoring, Logging & Optimization
- Set up and maintain monitoring/logging tools like Prometheus and Grafana.
- Participate in troubleshooting and resolving performance bottlenecks.
Security & Compliance
- Apply basic DevSecOps practices including security scans and access control implementations.
- Follow security and compliance checklists under supervision.
Cost & Resource Management
- Monitor resource usage and suggest cost optimization strategies in cloud environments.
Documentation
- Maintain accurate documentation for deployment processes and incident responses.
Continuous Learning & Innovation
- Suggest improvements to workflows and tools.
- Stay updated with the latest DevOps and AI infrastructure trends.
Requirements:
- Around 6 months of experience in a DevOps or related technical role (internship or professional).
- Basic understanding of Docker, Kubernetes, and CI/CD tools like GitHub Actions or Jenkins.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and monitoring tools (e.g., Prometheus, Grafana).
- Exposure to scripting languages (e.g., Bash, Python) is a plus.
- Strong problem-solving skills and eagerness to learn.
- Good communication and documentation abilities.
Compensation
- Joining Bonus: INR 2,500 one-time bonus upon joining.
- Monthly Stipend: Base stipend of INR 8,000 per month, with the potential to increase up to INR 20,000 based on performance evaluations.
- Performance-Based Pay Scale: Eligibility for monthly performance-based bonuses, rewarding exceptional project contributions and teamwork.
- Additional Benefits: Access to professional development opportunities, including workshops, tech talks, and mentoring sessions.
Ready to kick-start your DevOps journey in a dynamic AI-driven environment? Apply now
#Devops #Docker #Kubernetes #DevOpsIntern

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Job Specification:
- Job Location - Noida
- Experience - 2-5 Years
- Qualification - B.Tech, BE, MCA (Technical background required)
- Working Days - 5
- Job nature - Permanent
- Role - IT Cloud Engineer
- Proficient in Linux.
- Hands on experience with AWS cloud or Google Cloud.
- Knowledge of container technology like Docker.
- Expertise in scripting languages. (Shell scripting or Python scripting)
- Working knowledge of LAMP/LEMP stack, networking and version control system like Gitlab or Github.
Job Description:
The incumbent would be responsible for:
- Deployment of various infrastructures on Cloud platforms like AWS, GCP, Azure, OVH etc.
- Server monitoring, analysis and troubleshooting.
- Deploying multi-tier architectures using microservices.
- Integration of Container technologies like Docker, Kubernetes etc as per application requirement.
- Automating workflow with python or shell scripting.
- CI and CD integration for application lifecycle management.
- Hosting and managing websites on Linux machines.
- Frontend, backend and database optimization.
- Protecting operations by keeping information confidential.
- Providing information by collecting, analyzing, summarizing development & service issues.
- Prepares & installs solutions by determining and designing system specifications, standards & programming.
Job Description:
Infilect is a GenAI company pioneering the use of Image Recognition in Consumer Packaged Goods retail.
We are looking for a Senior DevOps Engineer to be responsible and accountable for the smooth running of our Cloud, AI workflows, and AI-based Computer Systems. Furthermore, the candidate will supervise the implementation and maintenance of the company’s computing needs including the in-house GPU & AI servers along with AI workloads.
Responsibilities
- Understanding and automating AI based deployment an AI based workflows
- Implementing various development, testing, automation tools, and IT infrastructure
- Manage Cloud, computer systems and other IT assets.
- Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
- Design, develop, implement, and coordinate systems, policies, and procedures for Cloud and on-premise systems
- Ensure the security of data, network access, and backup systems
- Act in alignment with user needs and system functionality to contribute to organizational policy
- Identify problematic areas, perform RCA and implement strategic solutions in time
- Preserve assets, information security, and control structures
- Handle monthly/annual cloud budget and ensure cost effectiveness
Requirements and skills
- Well versed in automation tools such as Docker, Kubernetes, Puppet, Ansible etc.
- Working Knowledge of Python, SQL database stack or any full-stack with relevant tools.
- Understanding agile development, CI/CD, sprints, code reviews, Git and GitHub/Bitbucket workflows
- Well versed with ELK stack or any other logging, monitoring and analysis tools
- Proven working experience of 2+ years as an DevOps/Tech lead/IT Manager or relevant positions
- Excellent knowledge of technical management, information analysis, and of computer hardware/software systems
- Hands-on experience with computer networks, network administration, and network installation
- Knowledge in ISO/SOC Type II implementation with be a
- BE/B.Tech/ME/M.Tech in Computer Science, IT, Electronics or a similar field
Hi,
We are looking for candidate with experience in DevSecOps.
Please find below JD for your reference.
Responsibilities:
Execute shell scripts for seamless automation and system management.
Implement infrastructure as code using Terraform for AWS, Kubernetes, Helm, kustomize, and kubectl.
Oversee AWS security groups, VPC configurations, and utilize Aviatrix for efficient network orchestration.
Contribute to Opentelemetry Collector for enhanced observability.
Implement microsegmentation using AWS native resources and Aviatrix for commercial routes.
Enforce policies through Open Policy Agent (OPA) integration.
Develop and maintain comprehensive runbooks for standard operating procedures.
Utilize packet tracing for network analysis and security optimization.
Apply OWASP tools and practices for robust web application security.
Integrate container vulnerability scanning tools seamlessly within CI/CD pipelines.
Define security requirements for source code repositories, binary repositories, and secrets managers in CI/CD pipelines.
Collaborate with software and platform engineers to infuse security principles into DevOps teams.
Regularly monitor and report project status to the management team.
Qualifications:
Proficient in shell scripting and automation.
Strong command of Terraform, AWS, Kubernetes, Helm, kustomize, and kubectl.
Deep understanding of AWS security practices, VPC configurations, and Aviatrix.
Familiarity with Opentelemetry for observability and OPA for policy enforcement.
Experience in packet tracing for network analysis.
Practical application of OWASP tools and web application security.
Integration of container vulnerability scanning tools within CI/CD pipelines.
Proven ability to define security requirements for source code repositories, binary repositories, and secrets managers in CI/CD pipelines.
Collaboration expertise with DevOps teams for security integration.
Regular monitoring and reporting capabilities.
Site Reliability Engineering experience.
Hands-on proficiency with source code management tools, especially Git.
Cloud platform expertise (AWS, Azure, or GCP) with hands-on experience in deploying and managing applications.
Please send across your updated profile.
- Good experience in AWS services like Elastic Compute Cloud(EC2), IAM, RDS, API Gateway, Cognito, etc.
- Using GIT, SonarQube, Ansible, Nexus, Nagios, etc.
- Strong experience in creating, importing and launching volumes with security groups, auto-scaling, Load Balancers, Fault-tolerant
- Experience in configuring Jenkins job with related Plugins for Building, Testing, and Continuous Deployment to accomplish the complete CI/CD.
MLOps Engineer
Required Candidate profile :
- 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
- Candidate with strong Azure expertise
- Exposure of Productionize the models
- Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
- Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
- Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
- Proficient knowledge of git, Docker and containers, Kubernetes
- Familiarity with Terraform
- E2E production experience with Azure ML, Azure ML Pipelines
- Experience in Azure ML extension for Azure Devops
- Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
- Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
- Candidate with strong Azure expertise
- Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
- Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
- Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
- You have experience of 2-4 years in building high-performance consumer-facing mobile applications at Product companies of a decent scale.
- You can write code preferably in Golang and Python.
- You have experience with debugging production issues and writing RCAs.
- You have demonstrable stories of being on-call and how outages have been handled.
- You have experience developing products on Kubernetes and cloud providers like GCP and AWS.
- You have worked with Cloud Native (CNCF) technologies.
- You have experience automating CI/CD pipelines.
- You are an excellent collaborator & communicator. You know that start-ups are a team sport.
- You listen to others, aren’t afraid to speak your mind and always try to ask the right questions.
- You are excited by the prospect of working in a distributed team and company

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)
THE OPPORTUNITY
A platform to learn and grow in a great working environment with cutting edge technologies. There is vast opportunity to showcase creative thinking which can be translated into a highly optimized tools/utilities.
KEY ACTIVITIES
- Code Integrations ( Compile, Build, Notify )
- Package creation ( Service Packs, Patches, Hotfixes )
- Environment Preparation ( With GOLD SCM technical stack )
- Environment & Infra management
- Package delivery ( Customer specific & Standard )
- Build & Deployment automation
- Tickets management
KEY CRITERIA
Primary Technical Skills
- Shell Scripting
- ORACLE DB Fundamentals
- Infra Monitoring & Diagnostics
- ClearCase / GIT
- DevOps concepts
- Basic Java
Other Required Skills
- Problem Solving
- Logical Reasoning
- Aptitude & Attitude
- Communication (Verbal & Written)








