Python Developer

🏢 ОфисMiddleПолная занятость

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Есть о чём спросить

Навык востребован (Python), за такой навык на рынке платят больше. Но вилки нет, про деньги придётся договариваться с нуля.

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Чем предстоит заниматься

Maintaining and supporting Python-based web applications to ensure stable system operation

Monitoring application health through log analysis, monitoring tools, and evaluation of incoming issues and feedback

Analyzing, implementing, and testing application enhancements and approved improvement requests

Investigating software defects, identifying root causes, and implementing code fixes

Managing source code using Git, including pull requests, code reviews, and version control best practices

Performing quality assurance activities, including writing and executing test cases, and ensuring compliance with coding standards

Processing support and development tickets, tracking progress, and delivering tasks within agreed service levels

Deploying applications across test, acceptance, and production environments, including deployment validation and coordination

Creating and maintaining technical documentation, including code documentation, wiki pages, diagrams, and project documentation

Experience in Python application development for 5+ years

Experience with Kubernetes (OpenShift) and Helm Charts for 1+ years

Strong experience with Flask/Dash, Pandas, and NumPy

Experience processing and analyzing data from multiple sources using Python, including SQL databases and CSV files

Experience designing and developing scalable, reliable, and high-performance applications with a focus on data consistency and operational stability

Ability to translate complex business requirements into robust, scalable, and future-proof application and data architectures

Level of English – from Upper-Intermediate and above

Level of German – from Upper-Intermediate and above

Experience with FastAPI and React

Experience working with internal stakeholders (requestors, end users, IT infrastructure teams)

Experience in the energy market

Knowledge of electrical engineering

Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc

The opportunity to change the project and/or develop expertise in an interesting business domain

Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant

Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee

The opportunity to earn up to an additional 1,000 EUR per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities

Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated

Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies)

Certification compensation (AWS, PMP, etc)

Referral program

Private health insurance and sports compensation, depending on the type of employment

Дополнительно

Andersen is hiring a Python Developer with German for a project improving operational transparency, system monitoring, and data-driven process efficiency

Our customer is a large infrastructure organization focused on operating and enhancing complex, business-critical systems. The company invests in digital technologies, automation, and data-driven solutions to improve operational efficiency, reliability, and decision-making across large-scale processes. With a strong focus on innovation and continuous improvement, it develops scalable technology capabilities that support long-term organizational growth and evolving operational needs

The project is focused on improving transparency, monitoring, and analysis of internal operational processes. It includes developing and enhancing system capabilities that provide better visibility into operations, support data-driven analysis, and increase overall process efficiency