Python Developer

Project description VR-121378

As a Senior Software Engineer in a Virtual Infra environment, you will be part of the client's team to help scale and facilitate our product development and testing process. In this role, you architect and evolve scalable test infrastructure that reduces developer friction and improves deployment confidence. Advocate for best practices in code quality, testability, and CI/CD across the broader engineering organization. Responsibilities

Develop and maintain our automated system test infrastructure by writing code in Python

Design and develop analytics and indexes to characterize release quality, or help identify flaky tests or misbehaving infrastructure component using Elasticsearch, Logstash and Kibana

Be part of the Engineering team to identify new requirements, and add new features into the test infrastructure that accommodate for new features' development into the product

Monitoring the systems composing the infrastructure for regressions or failures and react to them promptly to unblock engineering team.

Identify and proactively tackle issues that impact developer productivity. Identify bottlenecks and plan for growth. Skills

Must have

MS/BS degree in Computer Science or equivalent experience

5+years of experience with software development in Python and frameworks for unit/integration or system testings like pytest or nosetests

Experience developing with SQL and NoSQL databases, such as MySQL and MongoDB

Experience in writing infrastructure software used internally by organizations for development productivity

Understanding of build/test systems and experience with CI/CD process and tools, such as Jenkins

Solid experience administrating Linux-based systems

Good understanding of virtualization and containers technologies (KVM/VMware, Docker)

Preferred Qualifications

Experience in building software for system test automation for enterprise products

Experience with using and configuring Jenkins or equivalent Continuous Integration tools

Exposure to Kubernetes management (on-premises)