Python Developer

Accountabilities:: Design, develop, and maintain automated systems that support operational workflows and provide actionable insights into global network infrastructure. Identify and eliminate bottlenecks caused by manual processes, repetitive tasks, operational inefficiencies, and technical debt. Build and enhance telemetry, monitoring, and observability solutions to improve visibility into network performance and reliability. Develop robust, scalable, and maintainable code using CI/CD pipelines, test-driven development, and iterative software design practices. Support the deployment and operation of cloud-native and third-party software using Infrastructure as Code (IaC) principles. Collaborate closely with architecture, engineering, and operations teams to identify improvement opportunities and deliver effective automation solutions. Continuously improve infrastructure reliability, operational efficiency, and the scalability of global networking services. Requirements: A bachelor's degree in Computer Science, Engineering, or a related field, with at least two years of relevant professional experience. Strong programming skills in Python and/or JavaScript, with experience designing and developing scalable software systems using appropriate frameworks and established software development lifecycle (SDLC) practices. Practical knowledge of containers, Kubernetes, service orchestration, microservices architecture, Infrastructure as Code, automation, and modern DevOps methodologies. Experience working with PostgreSQL and/or Apache Cassandra, along with an understanding of network telemetry and infrastructure monitoring. Familiarity with metrics collection, dashboards, alerting systems, and observability practices for distributed infrastructure. Ability to identify operational challenges and develop automation solutions that improve efficiency, reliability, and maintainability. Strong analytical, problem-solving, and collaboration skills, with the ability to work effectively across software engineering and infrastructure teams. A proactive mindset, attention to code quality, and a commitment to continuous improvement and reliable software delivery. Benefits: Remote flexibility: Work from home, from an office, or through a hybrid arrangement, depending on the role's requirements and individual working preferences. Health and well-being: Access to employee benefits designed to support physical health, mental well-being, and overall quality of life. Financial support: Benefits intended to support employees' financial security and long-term well-being. Work-life balance: A flexible working approach that encourages employees to work in ways that help them perform at their best. Professional growth: Opportunities to develop expertise in network automation, site reliability engineering, cloud-native technologies, and large-scale infrastructure. Meaningful technical impact: Contribute to the reliability, security, and performance of infrastructure supporting digital experiences around the world.