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Salary
≈ $11k – $28k per year (Estimated)
Location
In office (Noida)
Seniority
Middle · 3+ years exp

First seen by Alion on Oct 15, 2026.

Overview
Company
Impact
Profile match
HashStudioz Technologies delivers Product Engineering, IoT, Salesforce Consulting, AI, and Digital Transformation solutions for global enterprises and startups.

Role Overview:

As a DevOps Engineer, your primary role will be to streamline and automate software development, deployment, and delivery processes across various environments. You will work closely with development and operations teams to identify areas for improvement, optimize processes, and implement best practices for continuous integration and delivery.

Total Experience: 3 - 5 years

Responsibilities:

- Design and implement end-to-end automated software deployment pipelines

- Collaborate with development and operations teams to identify areas for improvement in software development, deployment, and delivery processes

- Develop and maintain automated testing frameworks for infrastructure and application components

- Design and implement monitoring, logging, and alerting systems to ensure availability and performance of applications and infrastructure

- Identify and resolve issues related to infrastructure and application performance, security, and scalability

- Develop and maintain documentation on system design, processes, and procedures

- Stay up-to-date with emerging trends and technologies in DevOps and cloud infrastructure

Requirements:

- Bachelor's degree in Computer Science, Engineering, or related field

- 3+ years of experience in DevOps, automation, or related field

- Strong programming skills in one or more scripting languages (Python, Bash, Ruby, etc.)

- Experience with containerization technologies (Docker, Kubernetes)

- Proficiency in cloud infrastructure (AWS, Azure, GCP)

- Knowledge of configuration management tools (Chef, Puppet, Ansible)

- Strong problem-solving and analytical skills

- Excellent communication and collaboration skills.

Skills

DevOps, Python, Docker, Kubernetes, AWS

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