Responsibilities

Implement and maintain resilient, highly available data engineering, monitoring, and analytics application clusters to support production environments
Set up and operate server infrastructure and software (Linux, Elasticsearch, Logstash, Grafana, Kibana, Kafka, Nginx) following bank and industry security standards
Perform continuous platform improvements including capacity planning, observability, monitoring, reliability, and resiliency enhancements
Design and develop data engineering pipelines to support data processing and analytics needs
Automate repetitive tasks and optimize processes to improve efficiency and quality, performing thorough testing to validate changes
Create and maintain comprehensive software documentation for platform components and processes
Perform system maintenance, including patching and upgrades, to ensure platform stability and security

Required competencies and certifications

Minimum 4 years of IT work experience
Hands-on experience in system administration or system software support
Experience operating and supporting Linux, Elasticsearch, Logstash, Grafana, Kibana, Kafka, and Nginx software
Proficient in Unix/Linux/Shell/Python scripting for automation and system management
Self-driven, committed, and reliable team player with a passion for learning new technologies

Preferred competencies and qualifications

Knowledge of Site Reliability Engineering (SRE) practices including monitoring, observability, performance management, automation, and resiliency
Experience with Object Oriented Programming, web application development, NodeJS, Spring Boot, and Kafka
Familiarity with automation tools such as Ansible, Chef, Puppet, and DevOps pipelines
Experience in data ingestion processes including extraction, cleansing, parsing, and data analytics

Linux Engineer