AWS Tech Stack, Python

Infosys; Maharashtra; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Infosys in Maharashtra is seeking a senior software engineer to lead end-to-end AWS-based solutions using Python. You will drive design, development, testing and production support, shaping scalable, secure cloud services and data integrations for PIM/DAM platforms.

The role requires 7–9 years of software engineering experience, a BTech/MTech/MCA/MSC or equivalent, and strong AWS expertise, including service integration and API design. You will mentor engineers and drive engineering standards.

Qualifications

• 7–9 years of experience in software engineering with hands-on Python.
• Degree in BTECH, MTECH, MCA, or MSC (or equivalent).
• Strong AWS experience including cloud architecture and service integration.
• Experience with PIM/DAM or enterprise platforms data flows.
• Solid API design, data modeling, performance optimization, and secure coding.

Responsibilities

• Lead end-to-end delivery of AWS-based solutions using Python from design through production support.
• Architect scalable, secure cloud services leveraging AWS capabilities.
• Provide technical leadership through code and design reviews and mentoring.
• Build integrations supporting PIM and DAM platforms with data consistency.
• Set engineering standards for coding, testing, deployment, and observability.
• Collaborate with stakeholders to refine requirements and estimate work.
• Troubleshoot production issues, perform root-cause analysis, and implement improvements.
• Mentor engineers and promote ownership and continuous improvement.

Skills

Python development

AWS

Software engineering

API design

Data modeling

Security best practices

Education

Bachelor's or Master's degree in BTECH, MTECH, MCA, or MSC (or equivalent)

Job description

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.
• Bachelor’s or Master’s degree in BTECH, MTECH, MCA, or MSC (or equivalent).
• 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.

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.