DevOps Engineer

Job not on LinkedIn

🕒 March 31

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 53%

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Logo of O Genie

O Genie

11 - 50 employees

Founded 2016

✈️ Travel

🔌 API

🌐 Web 3

Travel • API • Web 3

O Genie is a technology company that focuses on developing innovative web applications. They aim to enhance user experience by leveraging advanced technologies to create seamless and interactive applications for various industries.

📋 Description

• Build a Security-first architecture. • Implement security philosophies to build a bulletproof system. • Implement pipelines to automate deployment, monitoring and scaling. • Help with cost optimizations of infrastructure. • Assist development teams with any infrastructure needs & technical support. • Available 24×7 for any production issues (Site Reliability). • Own all the existing cloud infrastructure (AWS – EC2, RDS, Elasticsearch, Elasticache and much more).

🎯 Requirements

• 4+ years work experience as a DevOps Implementation Engineer or similar software engineering role. • Working knowledge of Kubernetes and similar orchestration methodologies for Containers. • Significant technical, automation, and programming experience throughout the full lifecycle enterprise SDLC. • A comprehensive understanding of enterprise software development tools and methodologies, including typical enterprise application architectures and the ability to write scripted or compiled application and automation code. • Hands on experience with AWS services (EC2, VPC, RDS, Route53 and others). • Worked with next-gen infrastructure & application monitoring, Service discovery tools (Grafana, Prometheus, Zabbix, New Relic, Consul etc.) • Inquisitive nature & Self-starter who can implement with minimal guidance. • Experience with DevOps techniques and philosophies. • Experience with deploying and maintaining high traffic infrastructure (performance testing is a plus). • Extensive hands-on experience with MySQL databases. • Familiarity with modern Big Data stack (Spark or Hadoop, Kafka or RabbitMQ, ZooKeeper, Redis, Memcache, Lucene, MongoDB). • Expert with scripting languages (high five on python and/or shell). • Experience with configuration management at scale of over 100 servers. (Ansible/Puppet/Chef etc.)

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