Role : Devops Engineer
Company Name : Glassbeam
Company Website: www.glassbeam.com
Experience : 4 – 6 years
Mode of Interview: Virtual
Salary : As Per Industry Standared
Education : BE/B.Tech in computer science
Location: Bangalore
Hiring Process: Technical Interview, HR Interview
- Job Description: Automate, streamline all deployment activities
- Monitor all production instances for incidents and trends
- Implement best practices to ensure for an always-up, always-available service
- Ensure the SaaS environment follows all the best practices of security and is attack proof.
- Optimize cloud infrastructure to reduce TCO
- Work closely with Engineering to understand changes in each release and keep all tools up-to- date to ensure automated deployments
- Plan, execute all planned downtimes for upgrades, maintenance activities etc
- Own up all infrastructure related troubleshooting during unplanned outages
- Escalate and communicate issues timely and thrive to seek quick resolution
- Our Ideal Candidate
- Strong Linux background
- Strong security and networking background
- Knowledge of Chef or Puppet
- Scripting (Ruby, Python, Bash)
- Monitoring through JMX
- Monitoring system (Nagios, Zabbix)
- Ability to use a wide variety of open source technologies and cloud services
- Experience on AWS EC2 (or other private/public Cloud providers)
- Knowledge of best practices and IT operations in an always-up, always-available service
- Overall 4 – 6 years’ experience with a minimum 2 years of relevant experience in managing large AWS environments.
About Company :
Glassbeam is a machine data analytics company bringing structure to complex data generated from any connected machine in the Industrial IoT industry. Bringing structure and meaning to data from any connected device, Glassbeam provides actionable intelligence to the Internet of Things. Glassbeam’s next generation cloud-based analytics platform is designed to organize and analyze multi-structured data, delivering powerful product and customer intelligence across the entire enterprise.
When applied to complex healthcare products such as MRI machines, the Glassbeam solution can increase uptime to more than 99% and save millions on maintenance costs. The patented technology can build analytics from Log Data in a single step. Our predictive analytics solution with Artificial Intelligence and Machine Learning can detect performance anomalies and alert engineers to take proactive steps to address and prevent failures.
Glassbeam’s customers include: UCSF, Novant Health, Siemens Healthineers, IBM, Gateway Diagnostic Imaging, and Dell EMC.
For more information, please send your resume to jobs@glassbeam.com
