Monitoring Developer (Intern) at Playtech

Tartu, Tartu, Estonia -

Full Time

Start Date

Immediate

Expiry Date

28 May, 26

Salary

1000.0

Posted On

27 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Time-series Data, System Metrics, Kubernetes, Cloud Environments, System Visibility, Reliability, Performance, IT, Programming

Industry

Software Development

Description

Company Description About Playtech Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience. As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices. Ready to level up your career? Playtech's Infrastructure unit in Tartu is now looking for a proactive and curios Monitoring Developer Intern. NB! The application period is open until the 16th of March. Job Description Your influential mission. You will... Develop and maintain monitoring-related applications and tools Work with time-series data and system metrics Support the deployment of applications in Kubernetes or cloud environments Contribute to improving system visibility, reliability, and performance Collaborate in a team-based environment while handling individual assignments Qualifications Components for success. You... Are currently studying IT, Programming, or a related technical field Have strong interest in Python (strong preference) Have basic knowledge of SQL and databases Are curious about cloud environments and container technologies Have familiarity with time-series metrics (academic or personal projects is enough) Communicate well in English, Estonian is a plus Are proactive, detail-oriented, and eager to learn Can work independently while being part of a collaborative team We welcome candidates without formal work experience, personal projects (e.g., GitHub) are highly valued. You’ll get extra points for… Experience deploying applications in Kubernetes Understanding of cloud environments Experience working with monitoring tools or metrics-based system Additional Information What makes this internship great... A paid internship with a monthly compensation of 1,000 EUR gross. Empowerment, support, and mentoring. Initiative-taking, positive and confident approach at the workplace. Global scope and inclusive working environment. Constant learning and development opportunities through hands‑on projects. Active lifestyle and mental well-being. Fun and engaging company events. HOW TO APPLY? In addition to your CV, please add your motivation letter. You can write it in the comment section in the end of the application page (under "your message to the hiring manager"). PLAYTECH'S INFRASTRUCTURE UNIT Our infrastructure is spread over 17 different countries and 26 data centers. We rely on 25 000 virtual machines and have 18 000 TB of storage space. Impressive? Using cutting-edge technologies, we provide central IT infrastructure service to business and internal customers all over the world. Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to join us and be themselves at work.

Responsibilities

The intern will be responsible for developing and maintaining monitoring-related applications and tools, working extensively with time-series data and system metrics. They will also support application deployments in Kubernetes or cloud environments and contribute to enhancing system visibility, reliability, and performance.