ADCI
E-Commerce
SystemsDevelopmentEngineer,SellingPartnerSolutionsStorefront
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Systems Development Engineer, Selling Partner Solutions Storefront at ADCI. Skills: Systems development, Automation, Cloud infrastructure. Design automation systems. Build automation systems”
Industry & Context.
Root cause analysis
On-call rotations
What They're Looking For.
Must Have
Automating infrastructure, Deploying infrastructure, Supporting infrastructure, Programming with Python, Programming with Java, Programming with Scala, Computer science fundamentals, Object-oriented design, Operating systems, Algorithms, Data structures, Complexity analysis, CI/CD pipelines build processes
Nice to Have
Designing systems, Architecting systems, Reliability of systems, Scaling of systems, Automating team development, Simplifying team development, Automating team test, Simplifying team test, Automating team operations, Simplifying team operations, Distributed computing, Distributed programs, Distributed systems
What You'll Do.
Design automation systems
Build automation systems
Orchestrate actions across services
Engineer CDK-based infrastructure
Develop automated integration testing
Set up automated deployment pipelines
Maintain data pipelines
Create proactive monitoring
Set up fail-fast alerting
Reduce operational toil
Identify systemic issues
Participate in on-call rotations
Conduct root cause analysis
Contribute to COE reviews
Collaborate with Software Development Engineers
Contribute to design reviews
Contribute to code reviews
How You'll Work.
Team & Collaboration
Cross-functional teams; Partner teams; Leadership
Full Job Description
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 that prevent future support volume rather than addressing symptoms - Participate in on-call rotations, conduct root cause analysis, and contribute to Correction of Error (COE) reviews - Collaborate closely with Software Development Engineers, cont
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