Junior DevOps Engineer

Reposted 12 Days Ago
Coimbatore, Tamil Nadu, IND
In-Office
Junior
Artificial Intelligence • Computer Vision • Information Technology • Machine Learning
The Role
Assist in managing CI/CD pipelines, maintain cloud infrastructure, support monitoring systems, and collaborate with development teams.
Summary Generated by Built In

Overview:

We're seeking a motivated Junior DevOps Engineer to join our team. This role is ideal for candidates starting their career in DevOps, including recent graduates or those with relevant internship experience.

Responsibilities:

  • Assist in managing and automating CI/CD pipelines

  • Help maintain cloud infrastructure (e.g., AWS, Azure, or GCP)

  • Support monitoring and logging systems

  • Collaborate with development teams to improve deployment processes

  • Participate in on-call rotations for system maintenance and troubleshooting

Requirements:

  • Bachelor's degree in Computer Science, IT, or related field (or equivalent experience)

  • Basic understanding of Linux/Unix systems

  • Familiarity with version control systems (e.g., Git)

  • Knowledge of scripting languages (e.g., Python, Bash)

  • Understanding of containerization concepts (e.g., Docker)

Desirable:

  • Internship experience in DevOps, system administration, or software development

  • Exposure to cloud platforms (AWS, Azure, or GCP)

  • Basic understanding of infrastructure-as-code tools (e.g., Terraform, Ansible)

  • Familiarity with agile methodologies

We offer a supportive learning environment and opportunities for professional growth.

Skills Required

  • Bachelor's degree in Computer Science, IT, or related field
  • Basic understanding of Linux/Unix systems
  • Familiarity with version control systems (e.g., Git)
  • Knowledge of scripting languages (e.g., Python, Bash)
  • Understanding of containerization concepts (e.g., Docker)
Am I A Good Fit?
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The Company

What We Do

DATACLAP DIGITAL empowers businesses to innovate faster and smarter by providing expertise in DevOps, MLOps, No-Code platforms, and AI workflow automation. They are a leading AI training data and annotation company providing scalable, secure, and high-accuracy solutions for enterprise AI models.

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