You'll be responsible for working with Loyalty SaaS team to configure, deploy, automate AWS Cloud infrastructure with scalability, fail-over, and security.
Duties and responsibilities :
Improving site / platform performance, monitoring, and overall stability of our SaaS platforms.
Lead DevOps tools and product platform engineering delivery.
Proactive monitoring of platform and services, interacting with the Engineering team for supporting / maintaining / designing backend infrastructure for product support.
Automation of deployment, customization, upgrades and monitoring through open-source toolsets.
Performance tuning, monitoring, maintaining fault tolerant / HA infrastructure.
Built and support Big Data platform. Disaster recovery design, implementation, and maintenance.
Participate in long-term strategies for scalability, stability and highly availability of platform.
Troubleshooting and resolution of server / network issues.
Build documentation of operating procedures and provide knowledge transfer.
Worked in an Agile framework and manages Scrum / Kanban Lead / manage a team and provide timely updates and reports to senior management.
Strong knowledge of configuration management process using software such as Ansible, Chef or Terraform Experience with monitoring tools like Prometheus.
Experience with Release Engineering and Continuous Integration using tools like Gradle, Maven, Jenkins, etc and integrate testing with SonarQube Configuring, setting up and tuning of applications like JBOSS, Tomcat, WebSphere, WebLogic, Apache.
Strong relevant experience on Git, Linux Automation (Python / Shell), Ansible, Jenkins, Maven / Gradle, CI / CD, Docker, Kubernetes.
Strong background of Cloudera Hadoop, Cassandra administration and Apache Kafka clusters.
Experience with programming languages like Python, C, C++, Java, Perl or PHP, including with UNIX scripting.
What you'll need :
Bachelor's degree in Computer Science / Engineering with relevant work experience on DevOps Cloud infrastructure 7+ years of DevOps Engineering (Build & Release), AWS Cloud Experience managing and guiding teams, solutioning and build mindset Experience in a product engineering & development background.