Cloud Python Developer

Job Title: Cloud Python DeveloperLocation: RemoteDuration: ContractJob Description:Role Overview• Be a part of core Platform Engineering team and build and manage Infra using Infrastructure as a Code(IaC) on AWS• Design and solutioning for resiliency, scalability, availability an security of the platform.• Application alerting and monitoring to enhance application availability, reliability and performance on production using APM/Synthetics/Infrastructure logs.• Develop automation of the support process for operational tasks for operational aspects of operational problems.• Ensure Patch management on regular cadence, delivery of tasks – Incidents, tasks, problem ticket.• Understand security threats and patterns using the tools available AWS WAF/Shape/UID/Re-Captcha/Threat-Metrix/NESS/Pixel Monitoring and alerting.• Performance, Resiliency & Capacity Testing - Execution, Result review & prepare action items working with development teams.• Collaborate between development and operations to achieve key business objectives by implementing best practices.• Active participant in the ownership of the enhancing performance, efficiency, resiliency and monitoring of the software development process.• Provide release management and post deployment support and to quickly respond to and resolve unexpected service problems in production.• Tools: GitHub, Github Actions Workflows, AWS, Helm, EKS, Docker, Terraform, Python, MYSQL, Datadog, OpensearchRequired Qualifications: Undergraduate degree, 5+ years Cloud experience, GitHub, Github Actions Workflows, AWS, Helm, EKS, Docker, Terraform, Python, MYSQL, Datadog, OpensearchRequired AI Skills:- All contractor resources are expected to demonstrate baseline proficiency in enterprise-approved AI tools as part of their day-to-day responsibilities. This includes, but is not limited to:-Consistent Use: Maintain a minimum of 90% weekly usage of AI tools such as GitHub Copilot, Microsoft 365 Copilot, and other GenAI platforms approved by the enterprise.-Applied Productivity: Leverage AI tools to enhance coding, documentation, data analysis, and decision-making workflows.-Continuous Learning: Stay current with evolving AI capabilities and features, and apply them to improve delivery quality and velocity.