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AWS Tech Stack, Python
Job Description
AWS Tech Stack, Python, PIM/DAM
Key Responsibilities:
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.
More Info
Key Skills
observability practices
infrastructure-as-code
secure coding practices
About Company
Skills:
Python, Micro Service, Sql, FastAPI, Restapi, Kubernets, Mongo Db, Pytest, Migration, Api
Skills:
Git, L3vpn, Jira, BGP, Python, OSPF, Cisco SD-WAN Viptela, Cisco IOS Routing Switching, Mpls
Skills:
Unix, Graphql, Kafka, Shell Scripting, Sql, Redis, Rest Api, Jenkins, Django, Git, Vue.JS, React, Gcp, Linux, Flask, Python, Web Services, Next.js
Skills:
Python, Oops, Flask
Skills:
test automation, Svn, Api Testing, Git, Robot Framework, Interface Testing, Python, Iso 14971, IEC 62304, manual verification, Linux embedded systems, system-level testing