DevOps Engineer Job

Actively hiring
DevOps Engineer

Gurgaon

Start date
Starts Immediately
CTC (ANNUAL)
₹ 5,00,000 - 9,00,000 ₹ 5,00,000 - 9,00,000 /year
Experience
2-4 years
2-4 years experience
Apply By
16 May' 24
Posted 1 week ago
Job

About the job

As a DevOps engineer at Algorooms, you will play a crucial role in optimizing our infrastructure and ensuring smooth operations for our cloud-based services. Your expertise in Amazon Web Server (AWS), Amazon Web Services (AWS), and Linux will be key in driving our development processes to new heights.

Key responsibilities:

1. Implement and maintain AWS services to support continuous integration and deployment pipelines
2. Manage and monitor cloud infrastructure to ensure the high availability and performance of our applications
3. Collaborate with development teams to automate configuration management and streamline processes
4. Troubleshoot and resolve technical issues related to infrastructure and deployment
5. Implement security best practices to protect our systems and data
6. Work on staying up-to-date with industry trends and best practices to continuously improve our infrastructure
7. Participate in on-call rotation to provide support outside of regular business hours

If you are passionate about technology, enjoy working in a fast-paced environment, and have a strong background in DevOps and AWS, we want to hear from you. Join us at Algorooms and be part of a dynamic team that is shaping the future of cloud computing.

Skill(s) required

Amazon Web Server (AWS) Amazon Web Services (AWS) Linux
Earn certifications in these skills

Who can apply

1. Candidates with minimum 2 years of experience.

Salary

Annual CTC: ₹ 5,00,000 - 9,00,000 /year

Perks

Informal dress code 5 days a week

Number of openings

3

About Algorooms

An algorithmic trading platform is a sophisticated software system designed to execute automated trading strategies based on predefined rules and algorithms. These platforms leverage advanced mathematical models and data analysis techniques to make trading decisions in real-time, often without human intervention.
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