Python Developer

About the role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Python Developer based in United States. This role sits within a Site Reliability Engineering team focused on automating operations across a large-scale global network infrastructure. You will design and build software that reduces operational toil, improves reliability, and enables infrastructure teams to work more efficiently. The position combines software engineering, network automation, observability, and cloud-native technologies in a highly interconnected environment. You will work closely with architecture, engineering, and operations teams to identify bottlenecks and develop scalable solutions. A key focus will be strengthening network telemetry, automation, monitoring, alerting, and operational workflows through robust software systems. You will contribute to reliable development practices, including CI/CD, test-driven development, infrastructure as code, and iterative system design. This is an opportunity to work on complex global systems where your engineering contributions directly support the reliability and scalability of critical digital infrastructure.

Responsibilities

• Design and build systems that automate operational workflows and provide deep insights into global network infrastructure and data.
• Identify and eliminate operational bottlenecks caused by inefficient processes, manual work, and technical debt.
• Develop software solutions that reduce operational toil and improve the efficiency and reliability of infrastructure operations.
• Generate telemetry data and strengthen observability across complex network infrastructure.
• Design and maintain robust, self-sustaining, and maintainable code with a focus on CI/CD, test-driven development, and iterative engineering practices.
• Support and deploy cloud-native and third-party software using infrastructure-as-code principles.
• Contribute to the design and implementation of full-stack systems using appropriate tools and frameworks for each technical challenge.
• Maintain and enhance network telemetry and automation platforms, including source-of-truth systems, metric agents, time-series databases, dashboards, and alerting systems.
• Apply software development lifecycle best practices consistently to improve engineering efficiency and system quality.
• Develop a strong understanding of complex, globally interconnected systems and proactively identify opportunities to improve their reliability.
• Collaborate closely with architecture, engineering, and operations teams to identify high-impact improvements and deliver