Devops Engineer

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

Job Title: DevOps SDE llI

Job Summary

Porter seeks an experienced cloud and DevOps engineer to join our infrastructure platform team. This team is responsible for the organization's cloud platform, CI/CD, and observability infrastructure. As part of this team, you will be responsible for providing a scalable, developer-friendly cloud environment by participating in the design, creation, and implementation of automated processes and architectures to achieve our vision of an ideal cloud platform.

Responsibilities and Duties

In this role, you will

• Own and operate our application stack and AWS infrastructure to orchestrate and manage our applications.
• Support our application teams using AWS by provisioning new infrastructure and contributing to the maintenance and enhancement of existing infrastructure.
• Build out and improve our observability infrastructure.
• Set up automated auditing processes and improve our applications' security posture.
• Participate in troubleshooting infrastructure issues and preparing root cause analysis reports.
• Develop and maintain our internal tooling and automation to manage the lifecycle of our applications, from provisioning to deployment, zero-downtime and canary updates, service discovery, container orchestration, and general operational health.
• Continuously improve our build pipelines, automated deployments, and automated testing.
• Propose, participate in, and document proof of concept projects to improve our infrastructure, security, and observability.

Qualifications and Skills

Hard requirements for this role:

• 5+ years of experience as a DevOps / Infrastructure engineer on AWS.
• Experience with git, CI / CD, and Docker. (We use GitHub, GitHub actions, Jenkins, ECS and Kubernetes).
• Experience in working with infrastructure as code (Terraform/CloudFormation).
• Linux and networking administration experience.
• Strong Linux Shell scripting experience.
• Experience with one programming language and cloud provider SDKs. (Python + boto3 is preferred)
• Experience with configuration management tools like Ansible and Packer.
• Experience with container orchestration tools. (Kubernetes/ECS).
• Database administration experience and the ability to write intermediate-level SQL queries. (We use Postgres)
• AWS SysOps administrator + Developer certification or equivalent knowledge

Good to have:

• Experience working with ELK stack.
• Experience supporting JVM applications.
• Experience working with APM tools is good to have. (We use datadog)
• Experience working in a XaaC environment. (Packer, Ansible/Chef, Terraform/Cloudformation, Helm/Kustomise, Open policy agent/Sentinel)
• Experience working with security tools. (AWS Security Hub/Inspector/GuardDuty)
• Experience with JIRA/Jira help desk.

Title: Cloud DevOps Engineer 

Role: Individual Contributor (4-8 yrs)  

Requirements: 

• Energetic self-starter, a fast learner, with a desire to work in a startup environment  
• Experience working with Public Clouds like AWS 

• Operating and Monitoring cloud infrastructure on AWS. 
• Primary focus on building, implementing and managing operational support 
• Design, Develop and Troubleshoot Automation scripts (Configuration/Infrastructure as code or others) for Managing Infrastructure. 
• Expert at one of the scripting languages – Python, shell, etc  
• Experience with Nginx/HAProxy, ELK Stack, Ansible, Terraform, Prometheus-Grafana stack, etc 

• Handling load monitoring, capacity planning, and services monitoring. 
• Proven experience With CICD Pipelines and Handling Database Upgrade Related Issues. 
• Good Understanding and experience in working with Containerized environments like Kubernetes and Datastores like Cassandra, Elasticsearch, MongoDB, etc

Designation - DevOps Engineer

Urgently required. (NP of maximum 15 days)

Location:- Mumbai

Experience:- 3-5 years.

Package Offered:- Rs.4,00,000/- to Rs.7,00,000/- pa.

DevOps Engineer Job Description:-

Responsibilities

• Deploy updates and fixes
• Provide Level 2 technical support
• Build tools to reduce occurrences of errors and improve customer & client experience
• Develop software to integrate with internal back-end systems
• Perform root cause analysis for production errors
• Investigate and resolve technical issues
• Develop scripts to automate visualization
• Design procedures for system troubleshooting and maintenance

Requirements

• Work experience as a DevOps Engineer or similar software engineering role
• Work experience on AWS
• Good knowledge of Ruby or Python
• Working knowledge of databases and SQL
• Problem-solving attitude
• Team spirit
• BSc in Computer Science, Engineering or relevant field

Role Summary

In this role, you will lead the DevOps function at the organisation and work through all

facets of software development: design, prototype, implementation, testing and

documentation.

Responsibilities

• Design, prototype, implement, test and troubleshoot deployment strategies
• BS in Computer Science, Mathematics, Engineering or equivalent. MS or higher degree
• preferred.
• Design continuous integration and delivery pipelines using latest tools and platformsv
• Demonstrated understanding and hands-on experience in Kubernetes, K8s-Ingress,
• Docker, AWS EC2, VPC, Route53, ELB, RDS, MongoDB, Helm, Rancher, Jenkins,
• VPN, GKE.
• Create high level deployment design (HLSD) documents and outline software solutions
• Strong DevOps Management experience with focus on server-side development and
• database design
• Optimize application for maximum speed and scalability
• Strong understanding of web technologies, web services, communication protocols,
• (REST, SOAP API’s) and a proven track record in developing communication between
• desktop applications and web services
• Knowledge of Agile software development methodologies
• Cooperating with the back-end developer in the process of building the RESTful API

Qualification

• Experience with working on code enhancements within a large, complex software
• system
• Create server side deployment primarily in the Cloud, Collaboration space
• 10+ years of relevant experience in developing and managing web/app products.
• Experience with a few of these languages: Shell, Ruby/ JRuby, Python, PowerShell, Java,
• Go
• Hands-on experience in deploying and managing highly scalable cloud applications
• using AWS,Google Cloud
• Assure that all user input is validated before submitting to back-end
• Basic understanding of cloud security and hands on experience in building secure
• systems.
• Prepare accurate implementation task lists / time estimates and deliver assignments as
• per functional specifications, quality standards and project schedulesvvvv

• Proven experience in handling large infrastructure and distributed systems like Kafka, Yarn, Elastic Search, etc..
• Familiarity with Python-related technologies and frameworks like Django or Pyramid.
• Experience with Unix/Linux operating systems internals and administration (e.g. filesystems, inodes, system calls, etc) or networking (e.g. TCP/IP, routing, network topologies, and hardware, SDN, etc)
• Familiarity with at least one of the cloud computing infrastructures - GCP / Azure / AWS
• Familiarity with task queue frameworks like Celery or Pika is a plus.
• Source code management and Implementation of security best practices.
• Experienced in building monitoring/metrics & alerting tool (APM tool), a custom dashboard for each Application stack against the supported environment
• Good understanding & implementation experience using 12-factor App principles
• Awareness of Cloud Security concepts
• Awareness of Information Security concepts and Best Practices