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Agile Product Engineering Team Augmentation and Training Project

jalasoft.com

Information technology

Challenge

ScienceLogic faces continuous demand for skilled Product Engineering resources (Python, JavaScript, Testing, Test Automation) to maintain its Agile development workflow and ensure timely delivery of high-quality software. Difficulty in rapidly scaling teams with the necessary expertise and integrating new hires effectively poses a risk to project timelines and product innovation.

About the Client

ScienceLogic is a leading provider of IT Operations Management (ITOM) and Artificial Intelligence for IT Operations (AIOps) solutions, focused on delivering actionable insights for IT issue prediction and resolution.

Objectives

Scale Product Engineering teams to meet growing development demands.
Maintain and enhance Agile development velocity and continuous delivery.
Ensure consistent delivery of high-quality software to production.
Establish a robust talent pipeline for future growth.
Reduce employee attrition and foster a positive learning environment.

Functional Requirements

Recruitment and onboarding of Python, JavaScript, Testing, and Test Automation engineers.
Technical training and upskilling programs tailored to ScienceLogic's technology stack.
Integration of new team members into existing Agile workflows.
Ongoing support and mentorship to foster professional development.
Performance monitoring and reporting to track project progress and resource utilization.

Preferred Technologies

Python

JavaScript

Cucumber

TestCafe

Agile Development Methodologies

Integrations Required

Existing ScienceLogic development tools and platforms.
Version control systems (e.g., Git)
CI/CD pipelines

Non-Functional Requirements

Scalability to accommodate fluctuating project demands.
High-quality code and adherence to coding standards.
Security best practices to protect sensitive data.
Continuous integration and continuous delivery (CI/CD) support.
Effective communication and collaboration tools.

Expected Business Impact

Successful completion of this project will result in increased engineering capacity, faster software delivery cycles, improved product quality, reduced attrition, and a more agile and resilient development team. The project will enable ScienceLogic to maintain its competitive edge in the ITOM and AIOps market and continue delivering innovative solutions to its customers.