AWS Tech Stack, Python

AWS Tech Stack, Python, PIM/DAM
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). 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.

Work arrangement
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