About Digital.ai:
2024 has seen a resurgence of enthusiasm about technology’s potential to catalyze progress in business and society, and the innovation imperative is stronger than ever. At Digital.ai, we are dedicated to helping Global 1000 enterprises and key public services achieve their digitisation ambitions and deliver innovation at scale. We help our customers unleash the power of enterprise-ready AI and boost their entire software delivery lifecycle through automation of software delivery workflows so DevOps and security teams can keep pace with the developer productivity that is key for innovation. Digital.ai’s vision is to unlock the endless digital possibilities that can be achieved by harmonizing the development of software through AI-powered software delivery. Digital.ai founding principals have always been to help enterprises scale software delivery, manage DevSecOps tooling complexity, and derive a better understanding of the value software delivers through the application of analytics, machine learning and artificial intelligence.
Digital.ai’s platform unifies, secures, automates, and generates predictive insights and intelligence across the software lifecycle that allows teams to identify bottlenecks, analyse delivery trends, and uncover risks earlier in the software delivery process. We help leaders manage tradeoffs and decision making with intelligence powered by AI so they can guide their teams to focus on the right innovations and creativity required to improve the business. And as customers increase AI adoption, we also help them leverage AI responsibly and with governance to ensure software delivery teams and practices don’t hinder innovations from AI.
Type of internship:
Quality Engineering for DevOps Application
Duration of internship:
3 to 6 months
Location:
Vilnius
Job Description:
Project: Manual testing for web application
After getting familiar with our DevOps web application Digital.ai Release, the project consists into assisting the development team to verify the new implementation according to the acceptance criteria and product functionality.You will be part of a medium QE team size working in hybrid mode or remotely, split in various sites.
Requirements & Skills:
- Preferred bachelor or master's degree in Computer Science or equivalent
- Perform routine, smart and focused, exploratory tests based on high-risk areas.
- Assist in writing and performing manual test plans and related test cases.
- Document defects with detailed descriptions
- Verifying features and improvements using white and black box methodologies; with emphasis on debugging and identifying the root cause of issues.
- Experience in product development with web application
- Experience with API endpoints
- Experience in programming with languages such as HTML, CSS, Java, JavaScript or Python
- Familiar with relational databases such as Postgres, Oracle or MSSQL
- Familiar with source control such as GIT
Desirable / Preferred
:
- Strong written and verbal communication skills
- Curious to explore and details oriented
- Ability to work productively with distributed remote teams across multiple time zones
- Ability to work independently and self-organized
