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DevOps Engineer

DevOps Engineer

Dharmakit Networks

0 years

0 Lacs

Vadodara Gujarat India

Posted:3 days ago| Platform:

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Skills Required

devops networks development saas marketing ai model drive reliability stack design terraform kubernetes automate provisioning scaling security logging monitoring iam encryption analysis troubleshooting engineering aws azure gcp docker code ansible github jenkins gitlab networking git debugging communication teamwork kafka rabbitmq portfolio unix sqs linux

Work Mode

On-site

Job Type

Full Time

Job Description

Company Overview

Dharmakit Networks is a premium global IT solutions partner dedicated to innovation and success worldwide. We specialize in website development, SaaS, digital marketing, AI Solutions, and more, helping brands turn thier ideas into high-impact digital products. We're known for blending global standards with deep Indian insight. And now, we’re stepping into our most excited chapter yet.Project Ax1 is our next-generation Large Language Model (LLM), a powerful AI initiative designed to make intelligence accessible and impactful for Bharat and the world. Built by a team of AI experts, Dharmakit Networks is committed to developing cost-effective, high-performance AI tailored for India and beyond, enabling enterprises to unlock new opportunities and drive deeper connections. Join us in reshaping the future of AI, starting from India.

Role Overview

As a DevOps Engineer at Dharmakit Networks for Project Ax1, you’ll build and manage the scalable infrastructure powering India’s own LLM. You’ll play a key role in automating deployments, managing secure cloud systems, optimizing CI/CD workflows, and ensuring maximum system reliability across a growing stack of AI components.

Key Responsibilities

Design, implement, and manage CI/CD pipelines for seamless deployments.
Deploy and manage cloud infrastructure using tools like Terraform, Kubernetes, and Docker.
Automate infrastructure provisioning, scaling, and security compliance.
Monitor system performance, optimize resource utilization, and ensure high availability.
Set up and manage logging, monitoring, and alerting using tools like Prometheus, Grafana, ELK, or CloudWatch.
Strengthen cloud security through IAM policies, encryption, and vulnerability scans.
Perform root cause analysis and system troubleshooting and implement improvements.
Collaborate with AI, backend, and infra expert teams to deploy and scale LLM models and applications.

Must-Have Skills And Qualifications

Bachelor's degree in Computer Science, Engineering, or related field.
Experience with AWS, Azure, or GCP for deploying and managing cloud-based applications.
Strong hands-on experience with Docker and Kubernetes.
Infrastructure-as-Code (Experience using Terraform, Ansible, or CloudFormation).
Experience setting up automated workflows using GitHub Actions, Jenkins, or GitLab CI/CD.
Monitoring & Logging ( Experience with Prometheus, Grafana, ELK Stack, CloudWatch, etc.).
Cloud Networking & Security fundamentals (IAM, firewalls, SSL, encryption).
Understanding of firewalls, VPNs, SSL, and cloud security best practices.
Strong understanding of Git and version control.
Excellent debugging, troubleshooting, and problem-solving skills.
You take ownership, move fast, and want to build something that lasts.
Excellent communication, teamwork, and problem-solving abilities.

Good To Have

Exposure to serverless computing (AWS Lambda, Azure Functions)
Experience with message queues (Kafka, RabbitMQ, SQS)
Familiarity with SRE (Site Reliability Engineering) practices
Contributions to open-source projects or a strong GitHub portfolio demonstrating DevOps expertise.

Skills: rabbitmq,gitlab,iam,unix,prometheus,kafka,docker,jenkins,serverless,ansible,devops,cloud security,terraform,infrastructure,microsoft azure,firewalls,ssl,cloudwatch,gitlab ci,security,system monitoring,aws,cloud,ci,azure,grafana,git,cd,gcp,sqs,linux,kubernetes,elk stack,debugging,github actions,google cloud,cloudformation,infrastructure as code,troubleshooting,gitlab ci/cd,encryption,systems approach

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DevOps Engineer