AWS Tech Stack, Python

AWS Tech Stack, Python

AWS Tech Stack, Python, PIM/DAM Preferred Qualifications: • Experience building cloud-native architectures using microservices patterns and event-driven approaches on AWS. • Strong exposure to CI/CD automation and infrastructure-as-code practices to enable repeatable, reliable deployments. • Proven ability to lead technical discussions, influence architecture decisions, and align teams on implementation strategy. • Experience implementing observability practices (monitoring, logging, tracing) and improving operational excellence. • Prior ownership of integration-heavy programs involving PIM/DAM ecosystems, including performance tuning and data governance considerations. Key Responsibilities: • Lead end-to-end delivery of AWS-based solutions using Python, from design through development, testing, and production support. • Architect and implement scalable, secure, and resilient cloud services leveraging core AWS capabilities. • Provide technical leadership to the team through code reviews, design reviews, and hands-on guidance on Python and AWS best practices. • Build and maintain integrations and services supporting PIM and DAM platforms, ensuring data consistency, performance, and reliability. • Establish engineering standards for coding, testing, deployment, and observability to improve quality and delivery velocity. • Collaborate with stakeholders to refine requirements, estimate work, manage technical risks, and deliver milestones predictably. • Troubleshoot complex production issues, perform root-cause analysis, and implement preventative improvements. • Mentor engineers, support skill development, and contribute to a culture of ownership and continuous improvement. Minimum Qualifications: • 7–9 years of overall experience in software engineering with strong hands-on expertise in Python development. • Strong experience designing and building solutions on the AWS tech stack, including cloud architecture and service integration. • Experience working with or integrating enterprise platforms such as PIM and/or DAM, including data flows and system interoperability. • Solid understanding of software engineering fundamentals: API design, data modeling, performance optimization, and secure coding practices. • Bachelor’s or Master’s degree in BTECH, MTECH, MCA, or MSC (or equivalent).