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Salary
$27k – $64k per year (Estimated)
Location
In office (Mumbai)
Seniority
Principal · 8+ years exp
Overview
Company
Impact
Profile match
LogiNext helps logistics companies improve their internal operations, optimize delivery networks and provide superior customer service using advanced analytics and visualization. Carnegie Mellon founding team, has raised $10 million from Paytm and others.

Responsibilities:

  • Design and implement scalable infrastructure for delivering and running web, mobile, and big data applications on the cloud.
  • Scale and optimize a variety of SQL and NoSQL databases (especially MongoDB), web servers, application frameworks, caches, and distributed messaging systems.
  • Automate the deployment and configuration of the virtualized infrastructure and the entire software stack.
  • Plan, implement, and maintain robust backup and restoration policies ensuring low RTO and RPO.
  • Support several Linux servers running our SaaS platform stack on AWS, Azure, IBM Cloud, and Ali Cloud.
  • Define and build processes to identify performance bottlenecks and scaling pitfalls.
  • Manage robust monitoring and alerting infrastructure.
  • Explore new tools to improve development operations and automate daily tasks.
  • Ensure high availability and auto-failover with minimal or no manual interventions.

Requirements:

  • Bachelor's degree in computer science, information technology, or a related field.
  • 8-10 years of experience in designing and maintaining high-volume and scalable microservices architecture on cloud infrastructure.
  • Strong background in Linux/Unix administration and Python/Shell scripting.
  • Extensive experience working with cloud platforms like AWS (EC2 ELB, S3 Auto Scaling, VPC, Lambda), GCP, and Azure.
  • Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, and GitLab), and monitoring tools like Zabbix, CloudWatch Monitoring, and Nagios.
  • Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, microservices architecture, and caching mechanisms.
  • Experience in query analysis, performance tuning, and database redesigning.
  • Experience in enterprise application development, maintenance, and operations.
  • Knowledge of best practices and IT operations in an always-up, always-available service.
  • Excellent written and oral communication skills, judgment, and decision-making skills.
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