DevOps System Engineer

Position Summary

The purpose of this position is to provide a System Engineering function to develop, deploy, support and operate cloud-based platforms using technologies such as Kubernetes, Docker, Cassandra, Datadog, Elasticsearch, Logstash, Kibana, among others. The candidate will possess and demonstrate the ability to solve complex technical issues, including investigation of issues that require understanding of the whole solution including different systems and technologies, correlation of information from logs and metrics provided by the different elements of the solution, and security aspects like encryption, keys, and APDU management.

Key Areas of Responsibility

• Member of Cloud OTA Deployment team:
  • Define, architect, search for industry best practices, propose solutions to peers for review, formalize output in documentation
  • Deploy high availability solutions using Cloud Technologies such as AWS, Kubernetes, Cassandra, Docker, Datadog/ELK utilizing active/active architectures (multiple instances of the same component will run in parallel and accept/handle traffic at the same time, either within a same site or different sites)
  • Define, develop and maintain deployment and operation script and tools for deployment automation
  • Participate in maintenance window activities for hosted, on-premise cloud platform changes
  • Responsible for Solution platform deployment, installation, patching, and third party software upgrades on internal and external customer platforms
  • Maintain Solution and Database monitoring solutions
  • Define, architect, understand the database design, data available into the database and the required output, implement the best approach to collect and process the data to generate the output in an optimal way, and deploy Cassandra database high availability solutions utilizing replication technology in active architectures across multiple sites
  • Define, architect, understand the database design, data available into the database and the required output, implement the best approach to collect and process the data to generate the output in an optimal way, and deploy Scala / Spark programs for data extraction and reporting based high availability solutions utilizing replication technology
  • Participate in technical design review and strategic decision making

Basic Qualifications

• Bachelor’s degree in field with a minimum of 5-8+ years of relevant work experience or Master’s degree in field with 4+ years of relevant work experience
• Expert level experience in cloud database deployment, management and migration
• 2+ years of Cassandra / MySQL database administration
• 1+ years of Datadog or ELK usage
• Very good knowledge of all phases of software development lifecycle: requirements analysis, specification, design, implementation, code review, testing, and release
• Proactive, team player, and leadership qualities with strong technical background
• Excellent verbal and written communication skills

Preferred Qualifications

• Managing high SLA environments
• Autonomous on Cloud technologies such as Kubernetes, Docker, Datadog / ELK, Cassandra, AWS
• Autonomous on Pipeline automation with GitLab
• Autonomous on Ansible, Terraform deployment scripts and automation

Physical Demands

This position requires decision making capabilities at an advanced level to include assisting the consultant role for other teams, and the ability to provide technical expertise surrounding various database technology topics. Special Position Requirements: Candidate will need to be able to multitask and quickly switch if need be to emergency situations on production platforms. The position requires the ability to be able to manage tight deadlines and have visibility on project delivery goals and the ability to communicate effectively to project teams and management. The candidate will be able to thrive in a fast-paced work environment. The candidate will be required to be available to work during nights and weekends when the situation requires it.