Intellectyx Data Science - Lead DevOps Engineer - Django/Chef/On-Premises (7-10 yrs) (Intellectyx Data Science Pvt Ltd)

Responsibility :

- Provide infrastructure and software support for cloud and on-premise environment

- Experience in creating continuous development, integration and deployment environment.

- Experience deploying web framework and other frontend/backend frameworks

- Develop and deploy monitoring solutions that spans across 24/7 365 days to upkeep 99.99 SLA requirements

- Participate in the engineering process for design, build and management of systems and responsible for container based development environment.

- Implement security systems and best practices to protect systems from external and internal compromise

- Conduct regular security audit on intrusion, vulnerabilities and other penetration testing using both opensource and enterprise toolsets.

- Accurately document procedures, configurations, trouble descriptions and problem resolution with thorough follow-up.

- Participate in 24/7 on-call rotation, respond to alerts in a timely fashion, escalate issues as needed

Required Skills :

- 5+ years of experience in cloud (AWS, Azure, GCP), on-premise environment including windows, Linux based OS

- 5+ years of experience in deploying MEAN, MERN, Django, Flask, LAMP based deployments

- 5+ years of experience in deploying SQL (Microsoft SQL Server, Postgres, MYSQL), NoSQL (MongoDB, Cassandra),

- 5+ years of experience in VM, Docker container based images, Git repositories, Jenkins, Ansible, AWS SSM, Puppet or Chef.

- Proficient in one or more scripting languages: PHP, Perl, Unix Shell Script, PowerShell, or similar.

- Must understand VLANs, Cisco IOS, DNS, VPN, Firewall, Network Address Translation (NAT) and sub netting

- Experience in using monitoring tools such as NAGIOs, and other security monitoring tools.

- Willingness to work extended hours / weekends to meet project deadlines and support 24/7

- Excellent verbal and written communication skills.

Desired Skills : 2+ years of experience in Hadoop based environments, compute engineering systems such as Spark, Kafka, Databricks

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