Job Description: DevOps Engineer (Python + Cloud)
Experience: 5+ Years

No of Pos : 5

Sell Rate: 24LPA Max
Location: Chennai 
Type: Full-time

Primary Skills: GCP/AWS, GoLang/Python, Bash Scripting, 

DevOps tools - Terraform, Jenkins, Puppet, Kubernetes

We are seeking an experienced DevOps Engineer to join our dynamic team. The ideal candidate should have a solid foundation in DevOps practices with strong experience in Linux system administration, Bash scripting, cloud technologies (GCP preferred), and infrastructure automation. If you are passionate about building robust, scalable deployment systems and have hands-on experience in cloud-native environments, this role is for you.
Key Responsibilities:
Automate infrastructure provisioning and configuration using Ansible, Bash, and cloud-native tools.
Manage and support CI/CD pipelines using Harness, Jenkins, or similar tools.
Develop and maintain scripts using Python (basic to intermediate level) for automation and orchestration tasks.
Administer and monitor cloud infrastructure primarily on Google Cloud Platform (GCP).
Manage containerized environments using Docker; experience with Kubernetes is a plus.
Ensure systems reliability, scalability, and security by implementing DevOps best practices.
Collaborate with developers, QA, and IT teams to streamline code deployment and system maintenance.
Use GitHub for version control, code collaboration, and integration.
Requirements:
5+ years of experience in DevOps, cloud infrastructure, and system administration.
Strong knowledge and hands-on experience with Linux systems and Bash scripting.
Experience with Ansible for configuration management and automation.
Familiarity with GCP services such as Compute Engine, Cloud Storage, IAM, and networking.
Basic to intermediate skills in Python for scripting and automation.
Basic to intermediate skills in API integration and automation.
Experience with CI/CD tools like Harness or Jenkins.
Working knowledge of GitHub and source code management.
Hands-on experience with Docker; Kubernetes knowledge is a strong advantage.

Preferred Qualifications:
Exposure to Kubernetes for orchestration of containerized workloads.
Experience in cloud security, IAM policies, and access control management.
Familiarity with AI Tools (e.g., Lang chain, LLM, BOT  is a bonus).
Strong communication and collaboration skills, with the ability to work in cross-functional team

Job Description: DevOps Engineer (Python + Cloud)
Experience: 5+ Years

No of Pos : 5

Sell Rate: 24LPA Max
Location: Chennai 
Type: Full-time

Primary Skills: GCP/AWS, GoLang/Python, Bash Scripting, 

DevOps tools - Terraform, Jenkins, Puppet, Kubernetes

We are seeking an experienced DevOps Engineer to join our dynamic team. The ideal candidate should have a solid foundation in DevOps practices with strong experience in Linux system administration, Bash scripting, cloud technologies (GCP preferred), and infrastructure automation. If you are passionate about building robust, scalable deployment systems and have hands-on experience in cloud-native environments, this role is for you.
Key Responsibilities:
Automate infrastructure provisioning and configuration using Ansible, Bash, and cloud-native tools.
Manage and support CI/CD pipelines using Harness, Jenkins, or similar tools.
Develop and maintain scripts using Python (basic to intermediate level) for automation and orchestration tasks.
Administer and monitor cloud infrastructure primarily on Google Cloud Platform (GCP).
Manage containerized environments using Docker; experience with Kubernetes is a plus.
Ensure systems reliability, scalability, and security by implementing DevOps best practices.
Collaborate with developers, QA, and IT teams to streamline code deployment and system maintenance.
Use GitHub for version control, code collaboration, and integration.
Requirements:
5+ years of experience in DevOps, cloud infrastructure, and system administration.
Strong knowledge and hands-on experience with Linux systems and Bash scripting.
Experience with Ansible for configuration management and automation.
Familiarity with GCP services such as Compute Engine, Cloud Storage, IAM, and networking.
Basic to intermediate skills in Python for scripting and automation.
Basic to intermediate skills in API integration and automation.
Experience with CI/CD tools like Harness or Jenkins.
Working knowledge of GitHub and source code management.
Hands-on experience with Docker; Kubernetes knowledge is a strong advantage.

Preferred Qualifications:
Exposure to Kubernetes for orchestration of containerized workloads.
Experience in cloud security, IAM policies, and access control management.
Familiarity with AI Tools (e.g., Lang chain, LLM, BOT  is a bonus).
Strong communication and collaboration skills, with the ability to work in cross-functional team