
Key Responsibilities
- Design, implement, and maintain CI/CD pipelines for backend, frontend, and mobile applications.
- Manage cloud infrastructure using AWS (EC2, Lambda, S3, VPC, RDS, CloudWatch, ECS/EKS).
- Configure and maintain Docker containers and/or Kubernetes clusters.
- Implement and maintain Infrastructure as Code (IaC) using Terraform / CloudFormation.
- Automate build, deployment, and monitoring processes.
- Manage code repositories using Git/GitHub/GitLab, enforce branching strategies.
- Implement monitoring and alerting using tools like Prometheus, Grafana, CloudWatch, ELK, Splunk.
- Ensure system scalability, reliability, and security.
- Troubleshoot production issues and perform root-cause analysis.
- Collaborate with engineering teams to improve deployment and development workflows.
- Optimize infrastructure costs and improve performance.
Required Skills & Qualifications
- 3+ years of experience in DevOps, SRE, or Cloud Engineering.
- Strong hands-on knowledge of AWS cloud services.
- Experience with Docker, containers, and orchestrators (ECS, EKS, Kubernetes).
- Strong understanding of CI/CD tools: GitHub Actions, Jenkins, GitLab CI, or AWS CodePipeline.
- Experience with Linux administration and shell scripting.
- Strong understanding of Networking, VPC, DNS, Load Balancers, Security Groups.
- Experience with monitoring/logging tools: CloudWatch, ELK, Prometheus, Grafana.
- Experience with Terraform or CloudFormation (IaC).
- Good understanding of Node.js or similar application deployments.
- Knowledge of NGINX/Apache and load balancing concepts.
- Strong problem-solving and communication skills.
Preferred/Good to Have
- Experience with Kubernetes (EKS).
- Experience with Serverless architectures (Lambda).
- Experience with Redis, MongoDB, RDS.
- Certification in AWS Solutions Architect / DevOps Engineer.
- Experience with security best practices, IAM policies, and DevSecOps.
- Understanding of cost optimization and cloud cost management.

About Lovoj
About
LOVOJ is Bespoke Clothing Marketplace Platform. For the first time, end-users can shop custom-made tailored clothing online from any designer, tailor, boutiques of their own choice replacing traditional mass produced readymade clothing.
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LOVOJ is Bespoke Clothing Marketplace Platform.
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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
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
- Bachelor of Computer Science or Equivalent Education
- At least 5 years of experience in a relevant technical position.
- Azure and/or AWS experience
- Strong in CI/CD concepts and technologies like GitOps (Argo CD)
- Hands-on experience with DevOps Tools (Jenkins, GitHub, SonarQube, Checkmarx)
- Experience with Helm Charts for package management
- Strong in Kubernetes, OpenShift, and Container Network Interface (CNI)
- Experience with programming and scripting languages (Spring Boot, NodeJS, Python)
- Strong container image management experience using Docker and distroless concepts
- Familiarity with Shared Libraries for code reuse and modularity
- Excellent communication skills (verbal, written, and presentation)
Note: Looking for immediate joiners only.
Key Responsibilities:
- Work with the development team to plan, execute and monitor deployments
- Capacity planning for product deployments
- Adopt best practices for deployment and monitoring systems
- Ensure the SLAs for performance, up time are met
- Constantly monitor systems, suggest changes to improve performance and decrease costs.
- Ensure the highest standards of security
Key Competencies (Functional):
- Proficiency in coding in atleast one scripting language - bash, Python, etc
- Has personally managed a fleet of servers (> 15)
- Understand different environments production, deployment and staging
- Worked in micro service / Service oriented architecture systems
- Has worked with automated deployment systems – Ansible / Chef / Puppet.
- Can write MySQL queries
- 2+ years work experience in a DevOps or similar role
- Knowledge of OO programming and concepts (Java, C++, C#, Python)
- A drive towards automating repetitive tasks (e.g., scripting via Bash, Python, etc)
- Fluency in one or more scripting languages such as Python or Ruby.
- Familiarity with Microservice-based architectures
- Practical experience with Docker containerization and clustering (Kubernetes/ECS)
- In-depth, hands-on experience with Linux, networking, server, and cloud architectures.
- Experience with CI/CD tools Azure DevOps, AWS cloud formation, Lamda functions, Jenkins, and Ansible
- Experience with AWS, Azure, or another cloud PaaS provider.
- Solid understanding of configuration, deployment, management, and maintenance of large cloud-hosted systems; including auto-scaling, monitoring, performance tuning, troubleshooting, and disaster recovery
- Proficiency with source control, continuous integration, and testing pipelines
- Effective communication skills
Job Responsibilities:
- Deploy and maintain critical applications on cloud-native microservices architecture.
- Implement automation, effective monitoring, and infrastructure-as-code.
- Deploy and maintain CI/CD pipelines across multiple environments.
- Streamline the software development lifecycle by identifying pain points and productivity barriers and determining ways to resolve them.
- Analyze how customers are using the platform and help drive continuous improvement.
- Support and work alongside a cross-functional engineering team on the latest technologies.
- Iterate on best practices to increase the quality & velocity of deployments.
- Sustain and improve the process of knowledge sharing throughout the engineering team
- Identification and prioritization of technical debt that risks instability or creates wasteful operational toil.
- Own daily operational goals with the team.
Our client is a call management solutions company, which helps small to mid-sized businesses use its virtual call center to manage customer calls and queries. It is an AI and cloud-based call operating facility that is affordable as well as feature-optimized. The advanced features offered like call recording, IVR, toll-free numbers, call tracking, etc are based on automation and enhances the call handling quality and process, for each client as per their requirements. They service over 6,000 business clients including large accounts like Flipkart and Uber.
- Being involved in Configuration Management, Web Services Architectures, DevOps Implementation, Build & Release Management, Database management, Backups, and Monitoring.
- Ensuring reliable operation of CI/ CD pipelines
- Orchestrate the provisioning, load balancing, configuration, monitoring and billing of resources in the cloud environment in a highly automated manner
- Logging, metrics and alerting management.
- Creating Docker files
- Creating Bash/ Python scripts for automation.
- Performing root cause analysis for production errors.
What you need to have:
- Proficient in Linux Commands line and troubleshooting.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Hands-on experience with CI tooling preferably with Jenkins.
- Proficient in deployment using Ansible.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
- Scripting languages: Bash, Python, Groovy.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.
This person MUST have:
- B.E Computer Science or equivalent
- 2+ Years of hands-on experience troubleshooting/setting up of the Linux environment, who can write shell scripts for any given requirement.
- 1+ Years of hands-on experience setting up/configuring AWS or GCP services from SCRATCH and maintaining them.
- 1+ Years of hands-on experience setting up/configuring Kubernetes & EKS and ensuring high availability of container orchestration.
- 1+ Years of hands-on experience setting up CICD from SCRATCH in Jenkins & Gitlab.
- Experience configuring/maintaining one monitoring tool.
- Excellent verbal & written communication skills.
- Candidates with certifications - AWS, GCP, CKA, etc will be preferred
- Hands-on experience with databases (Cassandra, MongoDB, MySQL, RDS).
Experience:
- Min 3 years of experience as SRE automation engineer building, running, and maintaining production sites. Not looking for candidates who have experience only as L1/L2.
Location:
- Remotely, anywhere in India
Timings:
- The person is expected to deliver with both high speed and high quality as well as work for 40 Hours per week (~6.5 hours per day, 6 days per week) in shifts which will rotate every month.
Position:
- Full time/Direct
- We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
- We dont believe in locking in people with large notice periods. You will stay here because you love the company. We have only a 15 days notice period.
- Job Title:- Backend/DevOps Engineer
- Job Location:- Opp. Sola over bridge, Ahmedabad
- Education:- B.E./ B. Tech./ M.E./ M. Tech/ MCA
- Number of Vacancy:- 03
- 5 Days working
- Notice Period:- Can join less than a month
- Job Timing:- 10am to 7:30pm.
About the Role
Are you a server-side developer with a keen interest in reliable solutions?
Is Python your language?
Do you want a challenging role that goes beyond backend development and includes infrastructure and operations problems?
If you answered yes to all of the above, you should join our fast growing team!
We are looking for 3 experienced Backend/DevOps Engineers who will focus on backend development in Python and will be working on reliability, efficiency and scalability of our systems. As a member of our small team you will have a lot of independence and responsibilities.
As Backend/DevOps Engineer you will...:-
- Design and maintain systems that are robust, flexible and preformat
- Be responsible for building complex and take high- scale systems
- Prototype new gameplay ideas and concepts
- Develop server tools for game features and live operations
- Be one of three backend engineers on our small and fast moving team
- Work alongside our C++, Android, and iOS developers
- Contribute to ideas and design for new features
To be successful in this role, we'd expect you to…:-
- Have 3+ years of experience in Python development
- Be familiar with common database access patterns
- Have experience with designing systems and monitoring metrics, looking at graphs.
- Have knowledge of AWS, Kubernetes and Docker.
- Be able to work well in a remote development environment.
- Be able to communicate in English at a native speaking and writing level.
- Be responsible to your fellow remote team members.
- Be highly communicative and go out of your way to contribute to the team and help others
- Experience in implementing DevOps practices and DevOps-tools in areas like CI/CD using Jenkins environment automation, and release automation, virtualization, infra as a code or metrics tracking.
- Hands on experience in DevOps tools configuration in different environments.
- Strong knowledge of working with DevOps design patterns, processes and best practices
- Hand-on experience in Setting up Build pipelines.
- Prior working experience in system administration or architecture in Windows or Linux.
- Must have experience in GIT (BitBucket, GitHub, GitLab)
- Hands-on experience on Jenkins pipeline scripting.
- Hands-on knowledge in one scripting language (Nant, Perl, Python, Shell or PowerShell)
- Configuration level skills in tools like SonarQube (or similar tools) and Artifactory.
- Expertise on Virtual Infrastructure (VMWare or VirtualBox or QEMU or KVM or Vagrant) and environment automation/provisioning using SaltStack/Ansible/Puppet/Chef
- Deploying, automating, maintaining and managing Azure cloud based production systems including monitoring capacity.
- Good to have experience in migrating code repositories from one source control to another.
- Hands-on experience in Docker container and orchestration based deployments like Kubernetes, Service Fabric, Docker swarm.
- Must have good communication skills and problem solving skills










