Application OpenShift Engineer

Responsibilities:

Candidate must have excellent analytical skills to understand the functional and technical requirement to build a new enterprise software application.
Candidate must have hands-on experience developing new software using the current technology stack running on the cloud such as those mentioned in the Project Environment.
Candidate must have hands-on experience with developing new software adopting industry best practices, such as 15-factor methodology, feature toggle, circuit breaker, etc.
Candidate is expected to define design pattern, provide high- and low-level design, and collaborate with peer developers to develop components and microservices.
Candidate must be adept and nimble in adopting new technology
Candidate will work with other technology leaders and stakeholders to ensure the delivery commitment for the scrum team.
Design, develop, and deploy scalable and secure Kubernetes-based infrastructure.
Automate deployment, scaling, and management of containerized applications using Docker and Kubernetes.
Develop and manage CI/CD pipelines using tools like Jenkins, GitHub Actions, and OpenShift.
Create and maintain Helm charts for managing Kubernetes applications.
Write and maintain scripts for automating routine tasks around deployments, monitoring, and system maintenance.
Collaborate with development teams to assess and optimize application performance within Kubernetes.
Ensure the high availability of applications and services in the Kubernetes environment.
Conduct regular security audits to ensure the safety of the infrastructure.
Stay updated with new trends and best practices in container orchestration and cloud computing.
Develop and maintain documentation for the Kubernetes infrastructure.
Managing multiple cluster environments/data centers.

Project Environment:

More than 70% of the team's capacity will focus on building the new enterprise software application and setting up vendor software Exstream Cloud Native on OpenShift platform.

The system being built is highly complex in functionality and expected to process large transactions in extremely high volume.

This application is designed for modularization, as components and microservices, and orchestration of these services will be based on configurable processing workflows.

Databases include SQL Server, Mongo DB, Postgres.

Components and microservices environment include Kafka, AVRO, Java, Spring, Hibernate, JPA, Orchestra, Apigee,

Test automation is extremely important using Junit, Karate, Cucumber, TDD, BDD.

Applications are continuously scanned for outdated software and vulnerabilities so attention to secure coding practices are extremely important.