DevOps Lead Engineer

• Responsible for the design, implementation, and support of large scale infrastructure for the huddl.ai collaboration platform.
• Participates in the design and implementation phases for new and existing products, with a focus on AWS technical knowledge for successful execution of the requirements.
• Help with new feature development - work closely with other engineering teams to provide platform solutions to new products
• Working with team to analyze and design infrastructure with 99.99% up-time with server virtualization, clustering, replicating databases, disaster recovery, and geographic redundancy.
• Give technical guidance, knowledge transfer and mentorship to engineering peers as required and lead technical staff responsibilities.
• Build out a robust system to auto-scale our platform and work closely with our engineering team to diagnose how to build this, how to manage this and what triggers to measure.
• Actively monitor and administer the applications and hosting environment to increase efficiency, improve reliability, and minimize downtimes.
• Triage and analyze technical solutions to environment related issues encountered by new and existing applications in the environment.
• Troubleshoot and debug environment and infrastructure problems found in the production and non-production environments.
• Measurement, optimization, and tuning of system performance and ensuring that systems will run reliably and are highly available in a 24/7 production environment.
• Manage and control the continuous release promotion cycle (through automation) including the following environments: development, QA, Performance, Pre-prod and production.
• Extensive experience on Devops tools like Subversion, GIT, Jenkins, Chef, Ansible and Bitbucket

Required Skills

• Bachelors or Masters degree in Computer Science or a related field
• Minimum 5 to 7 years overall experience in Linux/Unix systems with atleast 2+ years hands on experience with cloud infrastructure on AWS.
• Extensive experience with Kubernetes, Jenkins is a must.
• Experience with automation with tools like Ansible/Terraform Prior experience in using Kafka is a plus
• Prior experience or exposure to container technology - docker, orchestration, container scheduling.
• Clustering, Message queues, load balancing, session persistence.
• Database performance tuning, backup/restore.
• High availability and disaster recovery
• Have experience leading a DevOps group to scale up successfully in production-ready service management.