IT Developer-G6785

3 Months ago • 8 Years + • DevOps

Job Summary

Job Description

Job Details

What You'll Do

    • Develop robust error-handling mechanisms to ensure the resilience of applications.
    • Implement effective logging and monitoring solutions for timely error detection and resolution.
    • Analyze and troubleshoot issues to provide quick and efficient resolutions.
    • Maintain and enhance existing applications to meet evolving business requirements.
    • Optimize Java Virtual Machine (JVM) sizing for improved performance and resource utilization.
    • Manage application configurations and ensure proper version control.
    • Work with cloud-based solutions and containerization technologies to deploy and scale applications.

What You Know

    • 8+ years of software development experience with high-volume e-commerce or online retail services, 5 years of which are specific to front-end and integration technologies
    • Demonstrable proficiency and experience in NodeJS-based technologies and/or Java, microservices, and integration technologies like Kafka
    • Exposure to API management (via Apigee or Mulesoft), Identity and Access Management technologies (like Ping Federate, OAuth, and OpenID Connect)
    • Experience with running workloads on Public Clouds such as AWS, Azure, or GCP, and experience with container-based technologies like Docker and Cloud Foundry
    • Prior experience working with Continuous Integration and Deployment in a DevOps-oriented product development environment and familiarity with modern MML technologies like Splunk, New Relic, and Pager Duty
    • Well Well-versed with system and technical design principles, and performant coding practices ensuring security requirements are not compromised for functionality and/or performance.
    • Experience with laying out a go-live plan at the conceptual stage, and analyzing the pros and cons between multiple options.
    • Experience with Content Management Systems and/or Personalization Systems is a major plus.

Education

    • Bachelor’s degree in Engineering, Finance, Decision Science or related analytic field.
    • MBA or Masters preferred in related field.
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