Semicolon Lab is a focused team of highly skilled engineers and managers. Our main areas of expertise are: — Create (Web and Mobile development) — Automate (AQA and DevOps) — Leverage (Data Science and Data Engineering) At Semicolon Lab we have two core values: No Bullshit and Common Sense.
5 мая 2020

Python Software Engineer (вакансия неактивна)

Львов $2000–3500

Необходимые навыки

— Bachelor degree in Computer Science or equivalent (in lieu of degree, relevant experience);
— At least 2 years of practical experience in software development using Python;
— Passion for writing clean, modular code using modern best practices and experience with PyTest / Unittest;
— Understanding of key concepts in architecture and design of modern web based applications;
— Strong experience with SQL and NoSQL databases;
— Proficient understanding of code versioning tools, such as Git;
— Understanding of modern Agile methodologies (Scrum, Kanban);
— At least strong intermediate in verbal and written English, good communication skills;
— Understanding of start-up environment requirements and atmosphere, easily and rapidly adapting to changes.

Будет плюсом

— Experience with container technologies like Docker, Kubernetes;
— Experience with AWS ecosystem;
— Understanding of CI/CD process and testing life cycle;
— Basic knowledge Javascript/Node JS;


— Competitive market salary;
— Competitive perks and benefits;
— Support with accounting (we offer paid subscription for, or dedicated accountant);
— Free coffee, milk, tea and cookies in the kitchen every day;
— Partial compensation for successful personal development related certificate achievement.


— Requirement analysis, task decomposition, estimation and implementation;
— Assist and support more junior team members;
— Enforce code quality standards and conduct code review;
— Communicate with main stakeholders on a daily basis;
— Ownership of operational critical internal development tools.

О проекте

The customer is an Israeli product company that develops SaaS for data management and analytics. Their integrated data management platform makes it easier than ever to connect to data. Leveraging cloud data warehouse infrastructure, automatic data integrations, and AI automation they can provide top-notch data infrastructure as a service. Service users can connect all their favourite analytics tools (google analytics, salesforce, etc.) in a simple user interface in several minutes without a need to do coding.