Technical Manager

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

Salesforce DevOps/Release Engineer

Resource type - Salesforce DevOps/Release Engineer

Experience - 5 to 8 years

Norms - PF & UAN mandatory

Resource Availability - Immediate or Joining time in less than 15 days

Job - Remote

Shift timings - UK timing (1pm to 10 pm or 2pm to 11pm)

Required Experience:

• 5–6 years of hands-on experience in Salesforce DevOps, release engineering, or deployment management.
• Strong expertise in Salesforce deployment processes, including CI/CD pipelines.
• Significant hands-on experience with at least two of the following tools: Gearset, Copado,Flosum.
• Solid understanding of Salesforce architecture, metadata, and development lifecycle.
• Familiarity with version control systems (e.g., Git) and agile methodologies

Key Responsibilities:

• Design, implement, and manage CI/CD pipelines for Salesforce deployments using Gearset, Copado, or Flosum.
• Automate and optimize deployment processes to ensure efficient, reliable, and repeatable releases across Salesforce environments.
• Collaborate with development, QA, and operations teams to gather requirements and ensurealignment of deployment strategies.
• Monitor, troubleshoot, and resolve deployment and release issues.
• Maintain documentation for deployment processes and provide training on best practices.
• Stay updated on the latest Salesforce DevOps tools, features, and best practices.

Technical Skills:

• Deployment ToolsHands-on with Gearset, Copado, Flosum for Salesforce deployments
• CI/CDBuilding and maintaining pipelines, automation, and release management
• Version ControlProficiency with Git and related workflows
• Salesforce PlatformUnderstanding of metadata, SFDX, and environment management
• Scripting
• Familiarity with scripting (e.g., Shell, Python) for automation (preferred)
• Communication
• Strong written and verbal communication skills

Preferred Qualifications:

Bachelor’s degree in Computer Science, Information Technology, or related field.

Certifications:

Salesforce certifications (e.g., Salesforce Administrator, Platform Developer I/II) are a plus.

Experience with additional DevOps tools (Jenkins, GitLab, Azure DevOps) is beneficial.

Experience with Salesforce DX and deployment strategies for large-scale orgs. 

Sr.DevOps Engineer (5 to 8 yrs. Exp.)

Location: Ahmedabad

• Strong Experience in Infrastructure provisioning in cloud using Terraform & AWS CloudFormation Templates.
• Strong Experience in Serverless Containerization technologies such as Kubernetes, Docker etc.
• Strong Experience in Jenkins & AWS Native CI/CD implementation using code
• Strong Experience in Cloud operational automation using Python, Shell script, AWS CLI, AWS Systems Manager, AWS Lamnda, etc.
• Day to Day AWS Cloud administration tasks
• Strong Experience in Configuration management using Ansible and PowerShell.
• Strong Experience in Linux and any scripting language must required.
• Knowledge of Monitoring tool will be added advantage.
• Understanding of DevOps practices which involves Continuous Integration, Delivery and Deployment.
• Hands on with application deployment process

Key Skills: AWS, terraform, Serverless, Jenkins,Devops,CI/CD,Python,CLI,Linux,Git,Kubernetes

Role: Software Developer

Industry Type: IT-Software, Software Services

FunctionalArea:ITSoftware- Application Programming, Maintenance

Employment Type: Full Time, Permanent

Education: Any computer graduate.

Requirements:

• Previously help a DevOps Engineer or System Engineer role

• 4+ years of production Linux system admin experience in high traffic environment

• 1+ years of experience with Amazon AWS and related services (instances, ELB,

   EBS, S3, etc.) and abstractions on top of AWS.

• Strong understanding of network fundamentals, IP and related services (DNS, VPN, firewalls, etc.) and    

   security concerns.

• Experience in running Docker and Kubernetes clusters in production.

• Love automating mundane tasks and make developers life easy

• Must be able to code in, at a minimum, Python (or Ruby) and Bash.

• Non-trivial production experience with Saltstack and/or Puppet, Composer,Jenkins, GIT

• Agile software development best practices - continuous integration, releases,branches, etc.

• Experience with modern monitoring tools; capacity planning.

• Some experience with MySQL, PostgreSQL, ElasticSearch, Node.js, and PHP is a plus.

• Self-motivated, fast learner, detail-oriented, team player with a sense of humor

Experience in managing CI/CD using Jenkins.

Oddr is looking for a skilled backend engineer to help us build scalable multi-tenanted enterprise Cloud applications. The ideal candidate should be able to bring new ideas to the table and design and develop distributed microservices with a strong emphasis on security, resiliency, scalability, performance, and quality. The candidate should have a solid understanding of CI/CD concepts and familiarity with building deployment pipelines. The candidate should be a self-motivated team player and take pride in what they deliver.

The candidate should be interested in a long-term stable career to grow with our company. The candidate will need to work late night hours because of the geographic distribution of the team.

Requirements:

• Strong understanding of CI/CD concepts and experience building deployment pipelines
• Strong knowledge of working with a CI/CD automation server like Jenkins
• Experience working with Docker containers and Kubernetes
• Familiarity working with Azure tools and services
• Good working knowledge of .NET Core and C#
• Familiarity with Cloud development concepts
• Experience with API-driven development and developing RESTful APIs
• Ability to write clean, well-structured code with adequate test coverage, proper abstraction, and reusability
• Ability to work to tight deadlines, manage priorities, and take responsibility for delivering to time and quality requirements
• Excellent communication skills
• Excellent problem-solving skills

Minimum qualifications required:

• Bachelor's degree or relevant certification from a reputable institute
• 3-5 years of experience.

DevOps Engineer responsibilities include deploying product updates, identifying production issues, and implementing integrations that meet customer needs. If you have a solid background in working with cloud technologies, set up efficient deployment processes, and are motivated to work with diverse and talented teams, we’d like to meet you.

Ultimately, you will execute and automate operational processes fast, accurately, and securely.

Skills and Experience

• 4+ years of experience in building infrastructure experience with Cloud Providers ( AWS, Azure, GCP)

• Experience in deploying containerized applications build on NodeJS/PHP/Python to kubernetes cluster.

• Experience in monitoring production workload with relevant metrics and dashboards.

• Experience in writing automation scripts using Shell, Python, Terraform, etc.

• Experience in following security practices while setting up the infrastructure. 

• Self-motivated, able, and willing to help where help is needed

• Able to build relationships, be culturally sensitive, have goal alignment, have learning agility  

Roles and Responsibilities

• Manage various resources across different cloud providers. (Azure, AWS, and GCP)

• Monitor and optimize infrastructure cost.

• Manage various kubernetes clusters with appropriate monitoring and alerting setup.

• Build CI/CD pipelines to orchestrate provisioning and deployment of various services into kubernetes infrastructure.

• Work closely with the development team on upcoming features to determine the correct infrastructure and related tools.

• Assist the support team with escalated customer issues.

• Develop, improve, and thoroughly document operational practices and procedures. 

• Responsible for setting up good security practices across various clouds.