Senior DevOps Engineer

Work From Home @Hemangi Panchal in Cloud & DevOps
  • India View on Map
  • Salary: ₹2,500,000.00 - ₹3,000,000.00 / Yearly
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Job Detail

  • Experience  5 - 8 years

Job Description

Key Responsibility:
 Implementing various development, testing, automation tools, and
provisioning/maintaining IT infrastructure for DO platforms.
 Defining and setting development, test, release, update, and support processes
 Working on ways to automate and improve development and release processes
Ensuring that systems are safe and secure against cybersecurity threats
 Identifying technical problems and deploying software updates and ‘fixes’
 Collaborate with engineering team to ensure that development follows
established processes and works as intended
 Planning out projects and being involved in project management decisions
 Monitoring the processes during the entire lifecycle for its adherence and
updating or creating new processes that are efficient and effective
 Incidence management and root cause analysis
 Strive for continuous improvement and build continuous integrat ion, continuous
development, and constant deployment pipeline (CI/CD Pipeline)

Job Qualifications:
 Bachelor’s degree in computer science or related field required; master’s degree is a plus
 Minimum 3 years’ experience as DevOps Engineer or similar software
engineering role
 Experience working on Linux based infrastructure
 Excellent understanding of Ruby, Python, Perl, and Java
 Configuration and managing AWS Cloud and its infrastructure
 Excellent troubleshooting skills
 Working knowledge of CI/CD tools like Jenkins, Docker, Kubernetes
 Working knowledge of various tools, open-source technologies, and cloud
services
 Awareness of critical concepts in DevOps and Agile principles, especially
Lean-Agile framework
 Familiarity with JIRA or similar tools

About Company: Fastest growing Private Company based at USA. The Company is working with Startups to Fortune 500, to collect, analyze, and generate insights from their customer interaction data such as conversational, transactional, and structured datasets.

Required skills

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