Systems Development Engineer, Selling Partner Solutions Storefront
Amazon - Bengaluru, Karnataka, IND
Posted May 20, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Systems Development Engineer, Selling Partner Solutions Storefront Bengaluru, Karnataka, IND Selling on Amazon is one of the fastest growing businesses at Amazon.com, with more than 50% of all items currently sold originating from third-party sellers. Our team's vision is to offer next generation systems that enable Amazon and third-party solutions providers to innovate rapidly for millions of Selling Partners worldwide, helping them automate and scale their Amazon businesses. We are looking for a passionate engineer who thrives on building systems that make teams more effective. You will own the full engineering lifecycle - from design through deployment and operations - building production-grade systems, data pipelines, and automation frameworks that operate at scale across distributed AWS services. You will write code held to Amazon Code Bar standards, working across Java, Python, and Scala to deliver solutions where no prior playbook exists. Key job responsibilities - Design and build automation systems that consolidate and orchestrate actions across multiple services, including listing pipelines, search infrastructure, and data processing workflows - Engineer CDK-based infrastructure for multi-region deployments, supporting RegionFlex initiatives - Develop automated integration testing and set up fully automated deployment pipelines (CI/CD) to eliminate risk of service degradation - Build and maintain data pipelines using Lambda, DynamoDB, and other AWS-native services, enabling data-driven decisions through dashboards and analytics - Create proactive monitoring with fail-fast alerting across mission-critical jobs to ensure data quality and pipeline reliability - Reduce operational toil through force-multiplier tooling and infrastructure automation - Proactively identify systemic issues and engineer solutions
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