#AWS, #Labda, #NextJS, #NodePJS, #React, #SAarchitecture, #Typescript

Background

Skillbandit is a job board designed to match jobs to candidates based on both hard and soft skills. What sets Skillbandit apart is its unique soft skill test that evaluates users’ professional behavior patterns, providing a comprehensive assessment of candidate suitability for specific roles.

Solution

Rollout IT joined the Skillbandit project in June 2019 to enhance the development process and improve delivery efficiency. As the primary software development vendor, Rollout IT provided 2.5 full-time equivalent (FTE) full-stack engineers, a UX/UI designer, and QA testers. The team modernized the project’s toolset, recruited additional team members, and facilitated effective collaboration between the product and development teams.

Objectives

The main objectives for Skillbandit include:

Matching jobs to candidates based on both hard and soft skills.
Providing a unique soft skill test to evaluate professional behavior patterns.
Modernizing the project’s development tools and processes to improve efficiency and output quality.

Progress

Since Rollout IT’s involvement in June 2019, significant progress has been made:

Modernizing the toolset by introducing JIRA with an agile setup and Figma for a component-oriented design system.
Recruiting and integrating new team members to bolster development efforts.
Enhancing the collaboration between the product and development teams, ensuring seamless workflow and communication.

Challenges

Several challenges were encountered and addressed:

Developing and implementing a unique soft skill test to evaluate user behavior patterns.
Ensuring efficient and effective collaboration between the product and development teams to streamline the development process.

Team

The project team consists of:

Full-stack engineers focusing on both frontend and backend development.
A UX/UI designer dedicated to creating a user-friendly and visually appealing interface.
QA testers ensuring the highest quality of the platform through rigorous testing.

Tech Stack

The technology stack for Skillbandit includes:

AWS for robust and scalable cloud infrastructure.
SA architecture for a secure and reliable system design.
React and NextJS for a dynamic and responsive frontend.
Redux for state management.
TypeScript and Node.js for a strong and maintainable backend.
Webpack for module bundling.

Client Interaction

Regular interactions with the client include status updates, review meetings, and feedback sessions to ensure the project aligns with the client’s vision and goals. The introduction of agile methodologies through JIRA has improved transparency and facilitated smoother project management and execution.

Conclusion

In conclusion, the development of Skillbandit marks a significant advancement in the recruitment industry by effectively matching jobs to candidates based on comprehensive skill assessments. The implementation of a unique soft skill test further enhances the platform’s ability to evaluate candidates, setting Skillbandit apart in the competitive job board market.

Rollout IT’s modernization of the development process, toolset, and team structure has been pivotal in achieving these goals. As Skillbandit continues to grow and evolve, it promises to revolutionize job matching and recruitment through innovative technology and meticulous skill assessment, providing unparalleled value to both employers and job seekers.

Book a call or write to us

Send email

By clicking on ‘Send message’, you authorize RolloutIT to utilize the provided information for contacting purposes. This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Vibe Coding : Benefits, Challenges, and Debugging

Vibe Coding is the process of developing AI-driven applications in a flow-based, intuitive manner, where developers build prompts, logic, and workflows rapidly, often without writing traditional code. This approach emphasizes creativity, flexibility, and speed, allowing teams to iterate quickly without being constrained by traditional development lifecycles. Focuses on rapid iteration, natural language, and modular building blocks. Popular in environments using LLMs, chatbots, and generative AI products. Empowers non-traditional developers (project managers, designers, analysts) to prototype AI features. Encourages exploration and experimentation with model capabilities. Lowers the barrier to entry for creating intelligent systems.

API-First Development: Seamless Integration Between Enterprise Systems

Many enterprises struggle with outdated systems that don’t work well together. As businesses grow, they add new software and tools, but without a solid integration strategy, these systems become disconnected and difficult to manage. Traditional development often treats APIs as an afterthought, leading to slow development, high maintenance costs, and limited flexibility. API-first development takes a different approach. Instead of building software first and figuring out integrations later, it starts with designing APIs as the foundation. This ensures that all systems, whether internal tools, customer applications, or third-party platforms, can connect smoothly from the beginning. The result? Faster development, easier system upgrades, and a more scalable, future-ready architecture.

Mobile Learning: Designing Apps for Education

By 2025, the mobile learning market is expected to reach around $94.93 billion and is projected to grow to $287.17 billion by 2030, with an annual growth rate of 24.78%. With smartphones becoming more widely accessible, mobile learning (m-learning) has become an essential part of modern education. This rapid growth reflects a shift in how people access education, making learning more flexible, interactive, and personalized. Whether it's students looking for supplementary resources, professionals upskilling on the go, or educators seeking innovative teaching tools, mobile learning apps have revolutionized the way knowledge is shared and consumed. As technology continues to evolve, the demand for well-designed and engaging educational apps is higher than ever, shaping the future of learning across all age groups.

Effective Edtech Integrations in Schools and Universities

CI/CD Solutions: Automating the Development Process

In modern software development, Continuous Integration and Continuous Deployment (CI/CD) have become essential for delivering high-quality applications at speed. By automating the development pipeline, CI/CD solutions reduce manual effort, minimize errors, and enhance software reliability. These solutions help organizations scale efficiently while ensuring robust software releases. This article explores the significance of CI/CD, its key components, popular tools, best practices for implementation, and technical considerations for DevOps engineers and agencies, including advanced topics such as Infrastructure as Code (IaC), security integration, microservices deployment, and multi-cloud strategies.

Data Centers’ Energy Consumption : Balancing Digital Demand and Sustainability

Data centers keep our digital world running—everything from streaming movies to using AI tools. But they also use a lot of electricity. This can lead to big questions: How do data centers affect the environment? Who controls them, and why does it matter? Can we make them more efficient and sustainable?