Python Engineer

As a Python engineer you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprice Platform. The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensure a set of compliance and best practices. Project is in production for 2+ years, being supported by multiple teams.

Our technical domains are: – AWS cloud, partially Azure. – SSO, Organizations, Service control policies, access models. – IAAC: terraform enterprise, terratest, chalice. – Serverless: lambda, step functions, wide range of misc automations, fargate. – System, Application, Network and security architectures. – Orchecstration: k8s (eks). – SRE activities (logging, tracing, monitoring), OpsGenie, Splunk. – Hashicorp Vault. – Hybrid Networking.

Responsibilities

• Participate in the development, and maintenance of Python applications.
• Troubleshoot and debug applications to resolve issues.
• Write clean, efficient, and self-documented code.
• Implement automation tests.
• Collaborate with team members to identify and solve technical problems.
• Participate in code reviews to ensure code quality and maintainability.
• Work with stakeholders to gather and analyze requirements and provide technical solutions.
• Monitor application performance and provide optimization recommendations.
• Stay up to date with the latest technologies and industry trends.

• Web development experience using frameworks such as Django or Flask.
• 5+ years of experience working as a Python Engineer or in a similar role.
• Strong proficiency in Python programming and knowledge of object-oriented programming principles.
• Solid understanding of algorithms and data structures.
• Understanding of Python’s internal implementation.
• Experience with coroutines, threads, processes, and their synchronization mechanisms.
• Proficiency in databases, database management, ORMs, including SQL and NoSQL databases. Ability to select the right database solution and design its schema for the application’s needs.
• Familiarity with RESTful APIs and their implementation.
• Proficiency in version control systems, particularly Git.
• Proficiency in containerization technologies, such as Docker or Kubernetes, for creating and managing scalable application environments.
• Familiarity with continuous integration and delivery (CI/CD) tools, such as Jenkins or GitLab, for automating build, test, and deployment processes.
• Experience with monitoring and logging tools like Nagios, Prometheus, or ELK stack for detecting and troubleshooting system issues.
• Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
• Knowledge of Agile methodologies, such as Scrum, and experience working in Agile teams.
• Strong problem-solving skills and the ability to debug and optimize code.
• Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.